In [2]:
from pyspark import SparkContext, SparkConf, SQLContext
import os
from pyspark.ml.classification import RandomForestClassifier
from pyspark.ml import Pipeline
from pyspark.ml.evaluation import MulticlassClassificationEvaluator
from pyspark2pmml import PMMLBuilder
from pyspark.ml.feature import StringIndexer
from pyspark.ml.feature import VectorAssembler
from pyspark.ml.feature import MinMaxScaler
import logging
import shutil
import site
import sys
import wget
import re
from pyspark.ml.tuning import ParamGridBuilder, TrainValidationSplit
In [3]:
if sys.version[0:3] == '3.9':
    url = ('https://github.com/jpmml/jpmml-sparkml/releases/download/1.7.2/'
           'jpmml-sparkml-executable-1.7.2.jar')
    wget.download(url)
    shutil.copy('jpmml-sparkml-executable-1.7.2.jar',
                site.getsitepackages()[0] + '/pyspark/jars/')
elif sys.version[0:3] == '3.8':
    url = ('https://github.com/jpmml/jpmml-sparkml/releases/download/1.7.2/'
           'jpmml-sparkml-executable-1.7.2.jar')
    wget.download(url)
    shutil.copy('jpmml-sparkml-executable-1.7.2.jar',
                site.getsitepackages()[0] + '/pyspark/jars/')
elif sys.version[0:3] == '3.7':
    url = ('https://github.com/jpmml/jpmml-sparkml/releases/download/1.5.12/'
           'jpmml-sparkml-executable-1.5.12.jar')
    wget.download(url)
elif sys.version[0:3] == '3.6':
    url = ('https://github.com/jpmml/jpmml-sparkml/releases/download/1.5.12/'
           'jpmml-sparkml-executable-1.5.12.jar')
    wget.download(url)
else:
    raise Exception('Currently only python 3.6 , 3.7, 3,8 and 3.9 is supported, in case '
                    'you need a different version please open an issue at '
                    'https://github.com/IBM/claimed/issues')
In [4]:
data_parquet = os.environ.get('data_parquet',
                              'data.parquet')  # input file name (parquet)
master = os.environ.get('master',
                        "local[*]")  # URL to Spark master
model_target = os.environ.get('model_target',
                              "model.xml")  # model output file name
data_dir = os.environ.get('data_dir',
                          '../../data/')  # temporary directory for data
input_columns = os.environ.get('input_columns',
                               '["x", "y", "z"]')  # input columns to consider
In [5]:
parameters = list(
    map(lambda s: re.sub('$', '"', s),
        map(
            lambda s: s.replace('=', '="'),
            filter(
                lambda s: s.find('=') > -1 and bool(re.match(r'[A-Za-z0-9_]*=[.\/A-Za-z0-9]*', s)),
                sys.argv
            )
    )))

for parameter in parameters:
    logging.warning('Parameter: ' + parameter)
    exec(parameter)
In [6]:
conf = SparkConf().setMaster(master)
#if sys.version[0:3] == '3.6' or sys.version[0:3] == '3.7':
conf.set("spark.jars", 'jpmml-sparkml-executable-1.5.12.jar')

sc = SparkContext.getOrCreate(conf)
sqlContext = SQLContext(sc)
spark = sqlContext.sparkSession

23/01/17 20:38:48 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
23/01/17 20:38:53 WARN util.Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
23/01/17 20:38:53 WARN util.Utils: Service 'SparkUI' could not bind on port 4041. Attempting port 4042.
23/01/17 20:38:53 WARN util.Utils: Service 'SparkUI' could not bind on port 4042. Attempting port 4043.
In [7]:
df = spark.read.parquet(data_dir + data_parquet)
In [8]:
# register a corresponding query table
df.createOrReplaceTempView('df')
In [9]:
from pyspark.sql.types import DoubleType
df = df.withColumn("x", df.x.cast(DoubleType()))
df = df.withColumn("y", df.y.cast(DoubleType()))
df = df.withColumn("z", df.z.cast(DoubleType()))
In [10]:
import random
random.seed(1)
In [11]:
splits = df.randomSplit([0.8, 0.2])
df_train = splits[0]
df_test = splits[1]
In [16]:
indexer = StringIndexer(inputCol="class", outputCol="label")

vectorAssembler = VectorAssembler(inputCols=eval(input_columns),
                                  outputCol="features")

normalizer = MinMaxScaler(inputCol="features", outputCol="features_norm")
In [23]:
rf = RandomForestClassifier()
In [24]:
pipeline = Pipeline(stages=[indexer, vectorAssembler, normalizer, rf])
In [25]:
paramGrid = ParamGridBuilder() \
    .addGrid(rf.numTrees, [10, 20]) \
    .addGrid(rf.maxDepth, [5,7]) \
    .build()
In [26]:
binEval = MulticlassClassificationEvaluator(). \
    setMetricName("accuracy"). \
    setPredictionCol("prediction"). \
    setLabelCol("label")
In [28]:
from pyspark.ml.tuning import CrossValidator, ParamGridBuilder
In [29]:
crossval = CrossValidator(estimator=pipeline,
                          estimatorParamMaps=paramGrid,
                          evaluator=binEval,
                          numFolds=10)  

# Run cross-validation, and choose the best set of parameters.
cvModel = crossval.fit(df_train)
In [48]:
import numpy as np
In [50]:
#printing best model
cvModel.getEstimatorParamMaps()[ np.argmax(cvModel.avgMetrics) ]
Out[50]:
{Param(parent='RandomForestClassifier_8fab23f28a88', name='numTrees', doc='Number of trees to train (>= 1).'): 20,
 Param(parent='RandomForestClassifier_8fab23f28a88', name='maxDepth', doc='Maximum depth of the tree. (>= 0) E.g., depth 0 means 1 leaf node; depth 1 means 1 internal node + 2 leaf nodes.'): 7}
In [47]:
# Make predictions on test documents. cvModel uses the best model found (lrModel).
prediction = cvModel.transform(df_test)
selected = prediction.select("prediction", "features", "label", "probability")
for row in selected.collect():
    print(row)

                                                                                

Row(prediction=1.0, features=DenseVector([0.0, 23.0, 36.0]), label=6.0, probability=DenseVector([0.2399, 0.2743, 0.0, 0.0009, 0.1316, 0.0, 0.1182, 0.1168, 0.0492, 0.0009, 0.0346, 0.0008, 0.0327, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 29.0, 43.0]), label=6.0, probability=DenseVector([0.2208, 0.2031, 0.0007, 0.026, 0.1109, 0.0009, 0.1788, 0.0788, 0.0398, 0.0074, 0.0592, 0.0007, 0.073, 0.0]))
Row(prediction=1.0, features=DenseVector([0.0, 29.0, 46.0]), label=6.0, probability=DenseVector([0.1199, 0.3089, 0.0007, 0.0198, 0.0379, 0.0009, 0.2073, 0.073, 0.06, 0.0087, 0.0331, 0.0013, 0.1284, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 30.0, 33.0]), label=6.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 30.0, 43.0]), label=6.0, probability=DenseVector([0.2208, 0.2031, 0.0007, 0.026, 0.1109, 0.0009, 0.1788, 0.0788, 0.0398, 0.0074, 0.0592, 0.0007, 0.073, 0.0]))
Row(prediction=1.0, features=DenseVector([0.0, 31.0, 29.0]), label=0.0, probability=DenseVector([0.1521, 0.1986, 0.0, 0.0004, 0.1933, 0.0, 0.015, 0.1964, 0.1248, 0.0, 0.0825, 0.0, 0.0368, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 31.0, 35.0]), label=6.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 31.0, 38.0]), label=6.0, probability=DenseVector([0.3066, 0.2246, 0.0, 0.0012, 0.1964, 0.0, 0.0539, 0.1033, 0.0314, 0.001, 0.0524, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 33.0, 36.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 34.0, 31.0]), label=6.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 41.0]), label=6.0, probability=DenseVector([0.4078, 0.1823, 0.0007, 0.0104, 0.0884, 0.0002, 0.0788, 0.0605, 0.0267, 0.0095, 0.0941, 0.0018, 0.0389, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 39.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 41.0]), label=6.0, probability=DenseVector([0.4097, 0.1855, 0.0007, 0.0096, 0.0893, 0.0002, 0.0753, 0.0571, 0.0265, 0.0095, 0.0964, 0.0019, 0.0382, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 36.0, 46.0]), label=6.0, probability=DenseVector([0.1749, 0.2208, 0.0009, 0.0119, 0.0694, 0.0002, 0.2648, 0.0604, 0.0577, 0.0109, 0.0614, 0.0023, 0.0644, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 36.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 41.0]), label=6.0, probability=DenseVector([0.4281, 0.1797, 0.0007, 0.0076, 0.089, 0.0002, 0.0589, 0.0534, 0.0259, 0.0115, 0.1066, 0.0019, 0.0366, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 38.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 37.0]), label=6.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 39.0, 45.0]), label=6.0, probability=DenseVector([0.2078, 0.2147, 0.0008, 0.0099, 0.0887, 0.0002, 0.2284, 0.0507, 0.0487, 0.0096, 0.0841, 0.0027, 0.0538, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 33.0]), label=6.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 37.0]), label=6.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 35.0]), label=6.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 38.0]), label=6.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 40.0]), label=6.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 41.0]), label=6.0, probability=DenseVector([0.468, 0.1619, 0.0003, 0.0034, 0.0918, 0.0002, 0.0571, 0.0432, 0.0192, 0.0111, 0.1163, 0.0006, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 32.0]), label=6.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.3253, 0.0239, 0.0, 0.0, 0.2301, 0.0, 0.0793, 0.027, 0.0135, 0.0072, 0.284, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 33.0]), label=6.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 36.0]), label=6.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 39.0]), label=6.0, probability=DenseVector([0.3126, 0.0197, 0.0, 0.0, 0.2327, 0.0, 0.085, 0.0238, 0.0113, 0.0066, 0.2992, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 44.0, 35.0]), label=6.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 44.0, 37.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 44.0, 41.0]), label=6.0, probability=DenseVector([0.1357, 0.1065, 0.0024, 0.0013, 0.0969, 0.0, 0.3607, 0.0372, 0.0223, 0.0139, 0.2053, 0.0006, 0.0171, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 44.0, 42.0]), label=6.0, probability=DenseVector([0.1351, 0.11, 0.0024, 0.0014, 0.0904, 0.0, 0.3763, 0.0365, 0.0226, 0.0139, 0.1927, 0.0006, 0.0181, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 44.0, 49.0]), label=6.0, probability=DenseVector([0.0897, 0.0806, 0.0161, 0.0084, 0.0553, 0.0002, 0.4818, 0.0327, 0.0423, 0.0145, 0.1323, 0.0029, 0.0428, 0.0003]))
Row(prediction=10.0, features=DenseVector([0.0, 45.0, 32.0]), label=6.0, probability=DenseVector([0.3015, 0.0155, 0.0, 0.0, 0.2469, 0.0, 0.0733, 0.0213, 0.0104, 0.0048, 0.3174, 0.0, 0.0088, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 45.0, 39.0]), label=6.0, probability=DenseVector([0.3043, 0.019, 0.0, 0.0, 0.2298, 0.0, 0.0921, 0.0229, 0.0111, 0.0059, 0.306, 0.0, 0.0089, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 45.0, 42.0]), label=6.0, probability=DenseVector([0.1179, 0.0651, 0.0034, 0.0014, 0.0968, 0.0, 0.4086, 0.0306, 0.0191, 0.014, 0.2242, 0.0005, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 45.0, 44.0]), label=6.0, probability=DenseVector([0.1079, 0.0735, 0.0161, 0.0084, 0.072, 0.0002, 0.4372, 0.0363, 0.0313, 0.0158, 0.1748, 0.0029, 0.0231, 0.0003]))
Row(prediction=6.0, features=DenseVector([0.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.1113, 0.061, 0.0034, 0.0012, 0.0887, 0.0, 0.4349, 0.0274, 0.0185, 0.0134, 0.2235, 0.0005, 0.0162, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 46.0, 42.0]), label=6.0, probability=DenseVector([0.1107, 0.0645, 0.0034, 0.0014, 0.0822, 0.0, 0.4504, 0.0267, 0.0188, 0.0134, 0.2109, 0.0005, 0.0171, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 46.0, 43.0]), label=6.0, probability=DenseVector([0.1079, 0.0655, 0.0034, 0.0014, 0.0788, 0.0, 0.4621, 0.027, 0.019, 0.0134, 0.2034, 0.0005, 0.0176, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 46.0, 44.0]), label=6.0, probability=DenseVector([0.0866, 0.0472, 0.0378, 0.0124, 0.0678, 0.0002, 0.4647, 0.0305, 0.0331, 0.0158, 0.1814, 0.0042, 0.0179, 0.0004]))
Row(prediction=6.0, features=DenseVector([0.0, 46.0, 45.0]), label=6.0, probability=DenseVector([0.0776, 0.0484, 0.0378, 0.0124, 0.0646, 0.0002, 0.4798, 0.03, 0.0358, 0.0145, 0.1722, 0.0042, 0.022, 0.0004]))
Row(prediction=6.0, features=DenseVector([0.0, 46.0, 47.0]), label=6.0, probability=DenseVector([0.0723, 0.0475, 0.0378, 0.0124, 0.0603, 0.0002, 0.4987, 0.0281, 0.0358, 0.0145, 0.1602, 0.0042, 0.0276, 0.0004]))
Row(prediction=6.0, features=DenseVector([0.0, 46.0, 50.0]), label=6.0, probability=DenseVector([0.0723, 0.0475, 0.0378, 0.0124, 0.0603, 0.0002, 0.4987, 0.0281, 0.0358, 0.0145, 0.1602, 0.0042, 0.0276, 0.0004]))
Row(prediction=6.0, features=DenseVector([0.0, 46.0, 50.0]), label=6.0, probability=DenseVector([0.0723, 0.0475, 0.0378, 0.0124, 0.0603, 0.0002, 0.4987, 0.0281, 0.0358, 0.0145, 0.1602, 0.0042, 0.0276, 0.0004]))
Row(prediction=10.0, features=DenseVector([0.0, 47.0, 34.0]), label=6.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.2867, 0.0203, 0.0, 0.0, 0.2192, 0.0, 0.1159, 0.0238, 0.0116, 0.0072, 0.3064, 0.0, 0.0088, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0958, 0.0392, 0.0194, 0.0043, 0.0771, 0.0, 0.505, 0.0154, 0.0186, 0.0156, 0.1938, 0.0015, 0.0139, 0.0002]))
Row(prediction=6.0, features=DenseVector([0.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.0961, 0.0433, 0.0194, 0.0044, 0.0803, 0.0, 0.4995, 0.016, 0.0189, 0.0156, 0.1898, 0.0015, 0.0149, 0.0002]))
Row(prediction=6.0, features=DenseVector([0.0, 47.0, 43.0]), label=6.0, probability=DenseVector([0.091, 0.0446, 0.0264, 0.008, 0.0747, 0.0, 0.5057, 0.0157, 0.0191, 0.0152, 0.182, 0.0016, 0.0149, 0.0011]))
Row(prediction=6.0, features=DenseVector([0.0, 47.0, 45.0]), label=6.0, probability=DenseVector([0.0719, 0.0472, 0.04, 0.0116, 0.0633, 0.0002, 0.5058, 0.0231, 0.0353, 0.0168, 0.1581, 0.0046, 0.0218, 0.0004]))
Row(prediction=6.0, features=DenseVector([0.0, 47.0, 46.0]), label=6.0, probability=DenseVector([0.0719, 0.0472, 0.04, 0.0116, 0.0633, 0.0002, 0.5058, 0.0231, 0.0353, 0.0168, 0.1581, 0.0046, 0.0218, 0.0004]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.159, 0.0231, 0.0, 0.0, 0.1209, 0.0, 0.36, 0.027, 0.0149, 0.0093, 0.2767, 0.0, 0.0092, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.1481, 0.0186, 0.0, 0.0, 0.1106, 0.0, 0.3984, 0.0232, 0.0109, 0.0165, 0.266, 0.0, 0.0077, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.1481, 0.0186, 0.0, 0.0, 0.1106, 0.0, 0.3984, 0.0232, 0.0109, 0.0165, 0.266, 0.0, 0.0077, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 38.0]), label=0.0, probability=DenseVector([0.1481, 0.0186, 0.0, 0.0, 0.1106, 0.0, 0.3984, 0.0232, 0.0109, 0.0165, 0.266, 0.0, 0.0077, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.1287, 0.0177, 0.0, 0.0, 0.0981, 0.0, 0.4506, 0.0193, 0.0106, 0.0155, 0.2524, 0.0003, 0.0068, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.1287, 0.0177, 0.0, 0.0, 0.0981, 0.0, 0.4506, 0.0193, 0.0106, 0.0155, 0.2524, 0.0003, 0.0068, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.0805, 0.0147, 0.0, 0.0, 0.055, 0.0, 0.608, 0.011, 0.007, 0.0082, 0.2098, 0.0003, 0.0054, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 46.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([0.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.1444, 0.026, 0.0, 0.0, 0.1144, 0.0, 0.3475, 0.0233, 0.017, 0.0107, 0.3062, 0.0, 0.0104, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0738, 0.0439, 0.0194, 0.0044, 0.0602, 0.0, 0.5702, 0.0146, 0.0188, 0.0167, 0.1621, 0.0018, 0.014, 0.0002]))
Row(prediction=6.0, features=DenseVector([0.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.0687, 0.0452, 0.0264, 0.008, 0.0546, 0.0, 0.5763, 0.0144, 0.0189, 0.0163, 0.1542, 0.0018, 0.014, 0.0011]))
Row(prediction=6.0, features=DenseVector([0.0, 49.0, 45.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([0.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.1158, 0.0142, 0.0, 0.0, 0.0793, 0.0, 0.5398, 0.0213, 0.016, 0.0087, 0.1921, 0.0007, 0.0122, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 50.0, 44.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([0.0, 50.0, 49.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([0.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.0797, 0.0164, 0.0, 0.0, 0.0542, 0.0, 0.6261, 0.0105, 0.0095, 0.0052, 0.1918, 0.0004, 0.0062, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.1371, 0.0125, 0.0, 0.0, 0.1013, 0.0, 0.5517, 0.019, 0.0088, 0.0069, 0.154, 0.0008, 0.0079, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.1371, 0.0125, 0.0, 0.0, 0.1013, 0.0, 0.5517, 0.019, 0.0088, 0.0069, 0.154, 0.0008, 0.0079, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 55.0, 41.0]), label=0.0, probability=DenseVector([0.0735, 0.0398, 0.0194, 0.0043, 0.057, 0.0, 0.5757, 0.0141, 0.0185, 0.0167, 0.166, 0.0018, 0.013, 0.0002]))
Row(prediction=6.0, features=DenseVector([0.0, 59.0, 30.0]), label=6.0, probability=DenseVector([0.1336, 0.0123, 0.0, 0.0, 0.0969, 0.0, 0.5245, 0.0179, 0.0083, 0.0066, 0.1914, 0.0008, 0.0077, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 61.0, 28.0]), label=6.0, probability=DenseVector([0.1229, 0.018, 0.0, 0.0, 0.0919, 0.0, 0.6011, 0.0189, 0.008, 0.0061, 0.1246, 0.0008, 0.0077, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 62.0, 27.0]), label=6.0, probability=DenseVector([0.1229, 0.018, 0.0, 0.0, 0.0919, 0.0, 0.6011, 0.0189, 0.008, 0.0061, 0.1246, 0.0008, 0.0077, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.468, 0.1619, 0.0003, 0.0034, 0.0918, 0.0002, 0.0571, 0.0432, 0.0192, 0.0111, 0.1163, 0.0006, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.3253, 0.0239, 0.0, 0.0, 0.2301, 0.0, 0.0793, 0.027, 0.0135, 0.0072, 0.284, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.4912, 0.0537, 0.0, 0.0003, 0.1423, 0.0, 0.0716, 0.0279, 0.0115, 0.0101, 0.1775, 0.0, 0.0138, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 41.0]), label=0.0, probability=DenseVector([0.4446, 0.1437, 0.001, 0.0006, 0.0974, 0.0, 0.0802, 0.04, 0.0187, 0.0135, 0.1368, 0.0004, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 41.0]), label=0.0, probability=DenseVector([0.4446, 0.1437, 0.001, 0.0006, 0.0974, 0.0, 0.0802, 0.04, 0.0187, 0.0135, 0.1368, 0.0004, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 43.0, 39.0]), label=0.0, probability=DenseVector([0.3126, 0.0197, 0.0, 0.0, 0.2327, 0.0, 0.085, 0.0238, 0.0113, 0.0066, 0.2992, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 43.0, 40.0]), label=0.0, probability=DenseVector([0.2403, 0.0321, 0.0, 0.0, 0.1971, 0.0, 0.1867, 0.0333, 0.0098, 0.0149, 0.2761, 0.0, 0.0096, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 43.0, 40.0]), label=0.0, probability=DenseVector([0.2403, 0.0321, 0.0, 0.0, 0.1971, 0.0, 0.1867, 0.0333, 0.0098, 0.0149, 0.2761, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 44.0, 30.0]), label=6.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 44.0, 37.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 45.0, 27.0]), label=6.0, probability=DenseVector([0.2607, 0.0242, 0.0, 0.0, 0.2644, 0.0, 0.0819, 0.0356, 0.0258, 0.0027, 0.2875, 0.0, 0.0171, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 45.0, 33.0]), label=6.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 45.0, 37.0]), label=6.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 45.0, 39.0]), label=6.0, probability=DenseVector([0.3043, 0.019, 0.0, 0.0, 0.2298, 0.0, 0.0921, 0.0229, 0.0111, 0.0059, 0.306, 0.0, 0.0089, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.1113, 0.061, 0.0034, 0.0012, 0.0887, 0.0, 0.4349, 0.0274, 0.0185, 0.0134, 0.2235, 0.0005, 0.0162, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.1113, 0.061, 0.0034, 0.0012, 0.0887, 0.0, 0.4349, 0.0274, 0.0185, 0.0134, 0.2235, 0.0005, 0.0162, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 46.0, 43.0]), label=6.0, probability=DenseVector([0.1079, 0.0655, 0.0034, 0.0014, 0.0788, 0.0, 0.4621, 0.027, 0.019, 0.0134, 0.2034, 0.0005, 0.0176, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0958, 0.0392, 0.0194, 0.0043, 0.0771, 0.0, 0.505, 0.0154, 0.0186, 0.0156, 0.1938, 0.0015, 0.0139, 0.0002]))
Row(prediction=6.0, features=DenseVector([1.0, 48.0, 45.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([1.0, 48.0, 46.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([1.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.1428, 0.0188, 0.0, 0.0, 0.1071, 0.0, 0.3999, 0.025, 0.0129, 0.0147, 0.2703, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.1345, 0.0134, 0.0, 0.0, 0.1018, 0.0, 0.5437, 0.0201, 0.0096, 0.0071, 0.1609, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.1195, 0.014, 0.0, 0.0, 0.0748, 0.0, 0.5799, 0.0167, 0.0105, 0.0079, 0.1677, 0.001, 0.0078, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 53.0, 40.0]), label=6.0, probability=DenseVector([0.0823, 0.0156, 0.0, 0.0, 0.0537, 0.0, 0.6341, 0.0094, 0.0086, 0.005, 0.1849, 0.0004, 0.006, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 55.0, 39.0]), label=6.0, probability=DenseVector([0.1221, 0.0132, 0.0, 0.0, 0.0743, 0.0, 0.5879, 0.0157, 0.0097, 0.0077, 0.1608, 0.001, 0.0075, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 56.0, 32.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 56.0, 36.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 59.0, 29.0]), label=6.0, probability=DenseVector([0.1229, 0.018, 0.0, 0.0, 0.0919, 0.0, 0.6011, 0.0189, 0.008, 0.0061, 0.1246, 0.0008, 0.0077, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 30.0, 40.0]), label=0.0, probability=DenseVector([0.3211, 0.1558, 0.0, 0.0123, 0.1764, 0.0, 0.1141, 0.0711, 0.0204, 0.0044, 0.0841, 0.0001, 0.0401, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 21.0]), label=6.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 28.0]), label=12.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 37.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 30.0]), label=6.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 44.0, 37.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([2.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.1185, 0.0617, 0.0034, 0.0012, 0.1033, 0.0, 0.393, 0.0313, 0.0188, 0.014, 0.2368, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 45.0, 47.0]), label=6.0, probability=DenseVector([0.0832, 0.0775, 0.0161, 0.0084, 0.0608, 0.0002, 0.4768, 0.0312, 0.0385, 0.0145, 0.1477, 0.0029, 0.0419, 0.0003]))
Row(prediction=10.0, features=DenseVector([2.0, 47.0, 37.0]), label=6.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.1481, 0.0186, 0.0, 0.0, 0.1106, 0.0, 0.3984, 0.0232, 0.0109, 0.0165, 0.266, 0.0, 0.0077, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.0687, 0.0452, 0.0264, 0.008, 0.0546, 0.0, 0.5763, 0.0144, 0.0189, 0.0163, 0.1542, 0.0018, 0.014, 0.0011]))
Row(prediction=6.0, features=DenseVector([2.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0805, 0.0147, 0.0, 0.0, 0.055, 0.0, 0.608, 0.011, 0.007, 0.0082, 0.2098, 0.0003, 0.0054, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0738, 0.0439, 0.0194, 0.0044, 0.0602, 0.0, 0.5702, 0.0146, 0.0188, 0.0167, 0.1621, 0.0018, 0.014, 0.0002]))
Row(prediction=6.0, features=DenseVector([2.0, 50.0, 34.0]), label=0.0, probability=DenseVector([0.1292, 0.0128, 0.0, 0.0, 0.0871, 0.0, 0.5168, 0.0235, 0.0159, 0.0087, 0.1926, 0.0005, 0.0128, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.1292, 0.0128, 0.0, 0.0, 0.0871, 0.0, 0.5168, 0.0235, 0.0159, 0.0087, 0.1926, 0.0005, 0.0128, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 51.0, 46.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([2.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 54.0, 43.0]), label=6.0, probability=DenseVector([0.0687, 0.0452, 0.0264, 0.008, 0.0546, 0.0, 0.5763, 0.0144, 0.0189, 0.0163, 0.1542, 0.0018, 0.014, 0.0011]))
Row(prediction=6.0, features=DenseVector([2.0, 57.0, 33.0]), label=6.0, probability=DenseVector([0.1331, 0.0127, 0.0, 0.0, 0.0795, 0.0, 0.5768, 0.0168, 0.0092, 0.0075, 0.1557, 0.0008, 0.008, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 57.0, 41.0]), label=6.0, probability=DenseVector([0.1, 0.0394, 0.0194, 0.0043, 0.0773, 0.0, 0.5409, 0.0139, 0.0176, 0.0167, 0.1555, 0.0018, 0.013, 0.0002]))
Row(prediction=6.0, features=DenseVector([2.0, 58.0, 34.0]), label=0.0, probability=DenseVector([0.1331, 0.0127, 0.0, 0.0, 0.0795, 0.0, 0.5768, 0.0168, 0.0092, 0.0075, 0.1557, 0.0008, 0.008, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 61.0, 34.0]), label=6.0, probability=DenseVector([0.1331, 0.0127, 0.0, 0.0, 0.0795, 0.0, 0.5768, 0.0168, 0.0092, 0.0075, 0.1557, 0.0008, 0.008, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 63.0, 40.0]), label=6.0, probability=DenseVector([0.1186, 0.0141, 0.0, 0.0, 0.0698, 0.0, 0.61, 0.0079, 0.0068, 0.0048, 0.162, 0.0004, 0.0058, 0.0]))
Row(prediction=1.0, features=DenseVector([3.0, 15.0, 27.0]), label=6.0, probability=DenseVector([0.1196, 0.2869, 0.0, 0.0003, 0.1743, 0.0, 0.0182, 0.2107, 0.0729, 0.0011, 0.0735, 0.0, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([3.0, 25.0, 29.0]), label=6.0, probability=DenseVector([0.1206, 0.2448, 0.0, 0.0003, 0.1796, 0.0, 0.0224, 0.2375, 0.0789, 0.0011, 0.0735, 0.0, 0.0412, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 33.0, 40.0]), label=0.0, probability=DenseVector([0.5029, 0.091, 0.0, 0.0101, 0.1376, 0.0, 0.0832, 0.046, 0.0116, 0.0057, 0.0936, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 40.0]), label=0.0, probability=DenseVector([0.5407, 0.078, 0.0, 0.0025, 0.1387, 0.0, 0.06, 0.0372, 0.0107, 0.0065, 0.1077, 0.0001, 0.0178, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 28.0]), label=6.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 38.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 41.0]), label=6.0, probability=DenseVector([0.468, 0.1619, 0.0003, 0.0034, 0.0918, 0.0002, 0.0571, 0.0432, 0.0192, 0.0111, 0.1163, 0.0006, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 41.0]), label=0.0, probability=DenseVector([0.4446, 0.1437, 0.001, 0.0006, 0.0974, 0.0, 0.0802, 0.04, 0.0187, 0.0135, 0.1368, 0.0004, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 43.0, 43.0]), label=6.0, probability=DenseVector([0.2152, 0.1292, 0.0024, 0.0014, 0.1087, 0.0, 0.2291, 0.0429, 0.0209, 0.0196, 0.2105, 0.0007, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 44.0, 35.0]), label=6.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 44.0, 47.0]), label=6.0, probability=DenseVector([0.0897, 0.0806, 0.0161, 0.0084, 0.0553, 0.0002, 0.4818, 0.0327, 0.0423, 0.0145, 0.1323, 0.0029, 0.0428, 0.0003]))
Row(prediction=10.0, features=DenseVector([3.0, 45.0, 30.0]), label=0.0, probability=DenseVector([0.2942, 0.0215, 0.0, 0.0, 0.2697, 0.0, 0.0629, 0.0252, 0.0129, 0.0042, 0.2973, 0.0, 0.012, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 45.0, 38.0]), label=0.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 46.0, 31.0]), label=0.0, probability=DenseVector([0.2932, 0.0221, 0.0, 0.0, 0.2665, 0.0, 0.0666, 0.0266, 0.0129, 0.0048, 0.2954, 0.0, 0.0119, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 46.0, 35.0]), label=0.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 47.0, 30.0]), label=6.0, probability=DenseVector([0.2766, 0.0228, 0.0, 0.0, 0.2591, 0.0, 0.0868, 0.0262, 0.0133, 0.0055, 0.2977, 0.0, 0.0119, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.284, 0.0167, 0.0, 0.0, 0.2363, 0.0, 0.0972, 0.0223, 0.0108, 0.0061, 0.3178, 0.0, 0.0087, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 48.0, 45.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([3.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.1428, 0.0188, 0.0, 0.0, 0.1071, 0.0, 0.3999, 0.025, 0.0129, 0.0147, 0.2703, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0738, 0.0439, 0.0194, 0.0044, 0.0602, 0.0, 0.5702, 0.0146, 0.0188, 0.0167, 0.1621, 0.0018, 0.014, 0.0002]))
Row(prediction=6.0, features=DenseVector([3.0, 49.0, 46.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([3.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.1328, 0.0127, 0.0, 0.0, 0.0827, 0.0, 0.5569, 0.019, 0.0105, 0.0079, 0.1683, 0.0008, 0.0084, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 52.0, 34.0]), label=0.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0735, 0.0398, 0.0194, 0.0043, 0.057, 0.0, 0.5757, 0.0141, 0.0185, 0.0167, 0.166, 0.0018, 0.013, 0.0002]))
Row(prediction=6.0, features=DenseVector([3.0, 54.0, 40.0]), label=6.0, probability=DenseVector([0.0823, 0.0156, 0.0, 0.0, 0.0537, 0.0, 0.6341, 0.0094, 0.0086, 0.005, 0.1849, 0.0004, 0.006, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 54.0, 40.0]), label=6.0, probability=DenseVector([0.0823, 0.0156, 0.0, 0.0, 0.0537, 0.0, 0.6341, 0.0094, 0.0086, 0.005, 0.1849, 0.0004, 0.006, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 55.0, 32.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 57.0, 29.0]), label=6.0, probability=DenseVector([0.1229, 0.018, 0.0, 0.0, 0.0919, 0.0, 0.6011, 0.0189, 0.008, 0.0061, 0.1246, 0.0008, 0.0077, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 57.0, 43.0]), label=6.0, probability=DenseVector([0.0666, 0.0447, 0.0264, 0.008, 0.0535, 0.0, 0.5565, 0.0192, 0.018, 0.0163, 0.1537, 0.0018, 0.034, 0.0011]))
Row(prediction=6.0, features=DenseVector([3.0, 62.0, 27.0]), label=6.0, probability=DenseVector([0.1229, 0.018, 0.0, 0.0, 0.0919, 0.0, 0.6011, 0.0189, 0.008, 0.0061, 0.1246, 0.0008, 0.0077, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 26.0, 38.0]), label=6.0, probability=DenseVector([0.269, 0.2295, 0.0, 0.0032, 0.1188, 0.0, 0.1381, 0.1068, 0.0713, 0.0011, 0.0337, 0.0, 0.0283, 0.0]))
Row(prediction=4.0, features=DenseVector([4.0, 31.0, 31.0]), label=0.0, probability=DenseVector([0.2468, 0.1724, 0.0, 0.0023, 0.287, 0.0, 0.0145, 0.1061, 0.0521, 0.0, 0.0817, 0.0, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 32.0, 31.0]), label=0.0, probability=DenseVector([0.3682, 0.0817, 0.0, 0.0022, 0.3148, 0.0, 0.0103, 0.065, 0.0355, 0.0044, 0.0952, 0.0, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 38.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.4417, 0.1764, 0.0007, 0.0074, 0.0849, 0.0002, 0.0564, 0.0507, 0.026, 0.0116, 0.1075, 0.0019, 0.0346, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 43.0]), label=0.0, probability=DenseVector([0.3351, 0.1744, 0.0003, 0.0059, 0.0919, 0.0002, 0.1757, 0.0422, 0.0279, 0.0084, 0.1073, 0.0005, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.3253, 0.0239, 0.0, 0.0, 0.2301, 0.0, 0.0793, 0.027, 0.0135, 0.0072, 0.284, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 40.0]), label=6.0, probability=DenseVector([0.4912, 0.0537, 0.0, 0.0003, 0.1423, 0.0, 0.0716, 0.0279, 0.0115, 0.0101, 0.1775, 0.0, 0.0138, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 44.0, 36.0]), label=6.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 44.0, 46.0]), label=6.0, probability=DenseVector([0.0897, 0.0806, 0.0161, 0.0084, 0.0553, 0.0002, 0.4818, 0.0327, 0.0423, 0.0145, 0.1323, 0.0029, 0.0428, 0.0003]))
Row(prediction=10.0, features=DenseVector([4.0, 45.0, 20.0]), label=6.0, probability=DenseVector([0.2607, 0.0242, 0.0, 0.0, 0.2644, 0.0, 0.0819, 0.0356, 0.0258, 0.0027, 0.2875, 0.0, 0.0171, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.1185, 0.0617, 0.0034, 0.0012, 0.1033, 0.0, 0.393, 0.0313, 0.0188, 0.014, 0.2368, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 45.0, 47.0]), label=6.0, probability=DenseVector([0.0832, 0.0775, 0.0161, 0.0084, 0.0608, 0.0002, 0.4768, 0.0312, 0.0385, 0.0145, 0.1477, 0.0029, 0.0419, 0.0003]))
Row(prediction=10.0, features=DenseVector([4.0, 46.0, 34.0]), label=0.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 46.0, 44.0]), label=6.0, probability=DenseVector([0.0866, 0.0472, 0.0378, 0.0124, 0.0678, 0.0002, 0.4647, 0.0305, 0.0331, 0.0158, 0.1814, 0.0042, 0.0179, 0.0004]))
Row(prediction=10.0, features=DenseVector([4.0, 47.0, 34.0]), label=0.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 47.0, 34.0]), label=6.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.2867, 0.0203, 0.0, 0.0, 0.2192, 0.0, 0.1159, 0.0238, 0.0116, 0.0072, 0.3064, 0.0, 0.0088, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 47.0, 40.0]), label=6.0, probability=DenseVector([0.1563, 0.0206, 0.0, 0.0, 0.1172, 0.0, 0.4165, 0.0166, 0.0117, 0.004, 0.2484, 0.0, 0.0088, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.1473, 0.0272, 0.0, 0.0, 0.1295, 0.0, 0.4039, 0.0325, 0.0147, 0.0054, 0.2253, 0.0, 0.0141, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([4.0, 50.0, 46.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([4.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 53.0, 43.0]), label=6.0, probability=DenseVector([0.0687, 0.0452, 0.0264, 0.008, 0.0546, 0.0, 0.5763, 0.0144, 0.0189, 0.0163, 0.1542, 0.0018, 0.014, 0.0011]))
Row(prediction=6.0, features=DenseVector([4.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 54.0, 41.0]), label=6.0, probability=DenseVector([0.0735, 0.0398, 0.0194, 0.0043, 0.057, 0.0, 0.5757, 0.0141, 0.0185, 0.0167, 0.166, 0.0018, 0.013, 0.0002]))
Row(prediction=6.0, features=DenseVector([4.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 55.0, 44.0]), label=6.0, probability=DenseVector([0.064, 0.0453, 0.0269, 0.0108, 0.0544, 0.0002, 0.5519, 0.0196, 0.0299, 0.0237, 0.1526, 0.0036, 0.0167, 0.0003]))
Row(prediction=6.0, features=DenseVector([4.0, 60.0, 34.0]), label=6.0, probability=DenseVector([0.1331, 0.0127, 0.0, 0.0, 0.0795, 0.0, 0.5768, 0.0168, 0.0092, 0.0075, 0.1557, 0.0008, 0.008, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 60.0, 37.0]), label=6.0, probability=DenseVector([0.1331, 0.0127, 0.0, 0.0, 0.0795, 0.0, 0.5768, 0.0168, 0.0092, 0.0075, 0.1557, 0.0008, 0.008, 0.0]))
Row(prediction=4.0, features=DenseVector([5.0, 31.0, 31.0]), label=0.0, probability=DenseVector([0.2468, 0.1724, 0.0, 0.0023, 0.287, 0.0, 0.0145, 0.1061, 0.0521, 0.0, 0.0817, 0.0, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.3307, 0.2091, 0.0, 0.0021, 0.2146, 0.0, 0.0179, 0.0996, 0.0346, 0.0005, 0.0646, 0.0, 0.0264, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 31.0, 36.0]), label=0.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 31.0, 37.0]), label=0.0, probability=DenseVector([0.3211, 0.2418, 0.0, 0.0019, 0.173, 0.0, 0.0446, 0.1038, 0.0313, 0.001, 0.0476, 0.0001, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 28.0]), label=6.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 34.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.5727, 0.0689, 0.0, 0.0003, 0.1343, 0.0, 0.041, 0.0308, 0.0102, 0.0086, 0.1189, 0.0001, 0.0142, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.4417, 0.1764, 0.0007, 0.0074, 0.0849, 0.0002, 0.0564, 0.0507, 0.026, 0.0116, 0.1075, 0.0019, 0.0346, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 29.0]), label=6.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 42.0]), label=6.0, probability=DenseVector([0.4437, 0.1642, 0.0003, 0.0035, 0.0891, 0.0002, 0.0813, 0.0432, 0.0193, 0.0111, 0.1157, 0.0006, 0.0279, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 29.0]), label=0.0, probability=DenseVector([0.2816, 0.0291, 0.0, 0.0, 0.2647, 0.0, 0.0691, 0.0398, 0.0281, 0.0041, 0.2656, 0.0, 0.0179, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.3253, 0.0239, 0.0, 0.0, 0.2301, 0.0, 0.0793, 0.027, 0.0135, 0.0072, 0.284, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 41.0]), label=0.0, probability=DenseVector([0.4446, 0.1437, 0.001, 0.0006, 0.0974, 0.0, 0.0802, 0.04, 0.0187, 0.0135, 0.1368, 0.0004, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 41.0]), label=0.0, probability=DenseVector([0.4446, 0.1437, 0.001, 0.0006, 0.0974, 0.0, 0.0802, 0.04, 0.0187, 0.0135, 0.1368, 0.0004, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 39.0]), label=6.0, probability=DenseVector([0.3126, 0.0197, 0.0, 0.0, 0.2327, 0.0, 0.085, 0.0238, 0.0113, 0.0066, 0.2992, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 44.0, 38.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.3126, 0.0197, 0.0, 0.0, 0.2327, 0.0, 0.085, 0.0238, 0.0113, 0.0066, 0.2992, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 45.0, 29.0]), label=0.0, probability=DenseVector([0.2607, 0.0242, 0.0, 0.0, 0.2644, 0.0, 0.0819, 0.0356, 0.0258, 0.0027, 0.2875, 0.0, 0.0171, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.2942, 0.0215, 0.0, 0.0, 0.2697, 0.0, 0.0629, 0.0252, 0.0129, 0.0042, 0.2973, 0.0, 0.012, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.3015, 0.0155, 0.0, 0.0, 0.2469, 0.0, 0.0733, 0.0213, 0.0104, 0.0048, 0.3174, 0.0, 0.0088, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 46.0, 30.0]), label=6.0, probability=DenseVector([0.2932, 0.0221, 0.0, 0.0, 0.2665, 0.0, 0.0666, 0.0266, 0.0129, 0.0048, 0.2954, 0.0, 0.0119, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 46.0, 32.0]), label=6.0, probability=DenseVector([0.3006, 0.0161, 0.0, 0.0, 0.2437, 0.0, 0.0769, 0.0227, 0.0104, 0.0053, 0.3155, 0.0, 0.0088, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 46.0, 34.0]), label=0.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 47.0, 43.0]), label=6.0, probability=DenseVector([0.091, 0.0446, 0.0264, 0.008, 0.0747, 0.0, 0.5057, 0.0157, 0.0191, 0.0152, 0.182, 0.0016, 0.0149, 0.0011]))
Row(prediction=6.0, features=DenseVector([5.0, 48.0, 36.0]), label=6.0, probability=DenseVector([0.1456, 0.021, 0.0, 0.0, 0.1112, 0.0, 0.368, 0.0204, 0.0118, 0.0149, 0.2999, 0.0, 0.0073, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.0805, 0.0147, 0.0, 0.0, 0.055, 0.0, 0.608, 0.011, 0.007, 0.0082, 0.2098, 0.0003, 0.0054, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 49.0, 26.0]), label=0.0, probability=DenseVector([0.1473, 0.0272, 0.0, 0.0, 0.1295, 0.0, 0.4039, 0.0325, 0.0147, 0.0054, 0.2253, 0.0, 0.0141, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.1537, 0.0233, 0.0, 0.0, 0.1174, 0.0, 0.3615, 0.0289, 0.0169, 0.0075, 0.281, 0.0, 0.01, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.1428, 0.0188, 0.0, 0.0, 0.1071, 0.0, 0.3999, 0.025, 0.0129, 0.0147, 0.2703, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 49.0, 38.0]), label=9.0, probability=DenseVector([0.1428, 0.0188, 0.0, 0.0, 0.1071, 0.0, 0.3999, 0.025, 0.0129, 0.0147, 0.2703, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.0735, 0.0398, 0.0194, 0.0043, 0.057, 0.0, 0.5757, 0.0141, 0.0185, 0.0167, 0.166, 0.0018, 0.013, 0.0002]))
Row(prediction=6.0, features=DenseVector([5.0, 50.0, 23.0]), label=6.0, probability=DenseVector([0.1285, 0.0192, 0.0, 0.0, 0.1194, 0.0, 0.505, 0.0264, 0.0148, 0.0064, 0.1565, 0.0005, 0.0233, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.1328, 0.0127, 0.0, 0.0, 0.0827, 0.0, 0.5569, 0.019, 0.0105, 0.0079, 0.1683, 0.0008, 0.0084, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 54.0, 37.0]), label=0.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 55.0, 30.0]), label=6.0, probability=DenseVector([0.1371, 0.0125, 0.0, 0.0, 0.1013, 0.0, 0.5517, 0.019, 0.0088, 0.0069, 0.154, 0.0008, 0.0079, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 55.0, 36.0]), label=6.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 56.0, 30.0]), label=6.0, probability=DenseVector([0.1371, 0.0125, 0.0, 0.0, 0.1013, 0.0, 0.5517, 0.019, 0.0088, 0.0069, 0.154, 0.0008, 0.0079, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 58.0, 39.0]), label=6.0, probability=DenseVector([0.1197, 0.0141, 0.0, 0.0, 0.0716, 0.0, 0.5998, 0.0146, 0.0092, 0.0075, 0.1552, 0.001, 0.0074, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 31.0, 36.0]), label=0.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 32.0, 30.0]), label=0.0, probability=DenseVector([0.3682, 0.0817, 0.0, 0.0022, 0.3148, 0.0, 0.0103, 0.065, 0.0355, 0.0044, 0.0952, 0.0, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 32.0, 31.0]), label=0.0, probability=DenseVector([0.3682, 0.0817, 0.0, 0.0022, 0.3148, 0.0, 0.0103, 0.065, 0.0355, 0.0044, 0.0952, 0.0, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4856, 0.0755, 0.0, 0.0028, 0.255, 0.0, 0.0098, 0.0497, 0.0212, 0.0051, 0.0797, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 29.0]), label=0.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 28.0]), label=6.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 40.0]), label=6.0, probability=DenseVector([0.5285, 0.0814, 0.0, 0.0033, 0.1378, 0.0, 0.0641, 0.0412, 0.0123, 0.007, 0.1054, 0.0001, 0.0189, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 28.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 27.0]), label=0.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 38.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 37.0]), label=6.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.468, 0.1619, 0.0003, 0.0034, 0.0918, 0.0002, 0.0571, 0.0432, 0.0192, 0.0111, 0.1163, 0.0006, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.4912, 0.0537, 0.0, 0.0003, 0.1423, 0.0, 0.0716, 0.0279, 0.0115, 0.0101, 0.1775, 0.0, 0.0138, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 43.0, 39.0]), label=0.0, probability=DenseVector([0.3126, 0.0197, 0.0, 0.0, 0.2327, 0.0, 0.085, 0.0238, 0.0113, 0.0066, 0.2992, 0.0, 0.0091, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 43.0, 44.0]), label=6.0, probability=DenseVector([0.1632, 0.1341, 0.0162, 0.0086, 0.0929, 0.0002, 0.2611, 0.0506, 0.0394, 0.0247, 0.1714, 0.0039, 0.0333, 0.0003]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 35.0]), label=6.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 37.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 38.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 38.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 45.0, 30.0]), label=0.0, probability=DenseVector([0.2942, 0.0215, 0.0, 0.0, 0.2697, 0.0, 0.0629, 0.0252, 0.0129, 0.0042, 0.2973, 0.0, 0.012, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.3015, 0.0155, 0.0, 0.0, 0.2469, 0.0, 0.0733, 0.0213, 0.0104, 0.0048, 0.3174, 0.0, 0.0088, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 45.0, 38.0]), label=0.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 46.0, 38.0]), label=0.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 46.0, 46.0]), label=6.0, probability=DenseVector([0.0723, 0.0475, 0.0378, 0.0124, 0.0603, 0.0002, 0.4987, 0.0281, 0.0358, 0.0145, 0.1602, 0.0042, 0.0276, 0.0004]))
Row(prediction=10.0, features=DenseVector([6.0, 47.0, 35.0]), label=0.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 47.0, 36.0]), label=6.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.0961, 0.0433, 0.0194, 0.0044, 0.0803, 0.0, 0.4995, 0.016, 0.0189, 0.0156, 0.1898, 0.0015, 0.0149, 0.0002]))
Row(prediction=6.0, features=DenseVector([6.0, 47.0, 43.0]), label=6.0, probability=DenseVector([0.091, 0.0446, 0.0264, 0.008, 0.0747, 0.0, 0.5057, 0.0157, 0.0191, 0.0152, 0.182, 0.0016, 0.0149, 0.0011]))
Row(prediction=6.0, features=DenseVector([6.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.1473, 0.0272, 0.0, 0.0, 0.1295, 0.0, 0.4039, 0.0325, 0.0147, 0.0054, 0.2253, 0.0, 0.0141, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 49.0, 30.0]), label=0.0, probability=DenseVector([0.1497, 0.0216, 0.0, 0.0, 0.1355, 0.0, 0.3854, 0.0302, 0.0145, 0.0065, 0.2464, 0.0, 0.0101, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 50.0, 35.0]), label=0.0, probability=DenseVector([0.1292, 0.0128, 0.0, 0.0, 0.0871, 0.0, 0.5168, 0.0235, 0.0159, 0.0087, 0.1926, 0.0005, 0.0128, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.1292, 0.0128, 0.0, 0.0, 0.0871, 0.0, 0.5168, 0.0235, 0.0159, 0.0087, 0.1926, 0.0005, 0.0128, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.1158, 0.0142, 0.0, 0.0, 0.0793, 0.0, 0.5398, 0.0213, 0.016, 0.0087, 0.1921, 0.0007, 0.0122, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.1328, 0.0127, 0.0, 0.0, 0.0827, 0.0, 0.5569, 0.019, 0.0105, 0.0079, 0.1683, 0.0008, 0.0084, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.1195, 0.014, 0.0, 0.0, 0.0748, 0.0, 0.5799, 0.0167, 0.0105, 0.0079, 0.1677, 0.001, 0.0078, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 51.0, 48.0]), label=6.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=6.0, features=DenseVector([6.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.1301, 0.0156, 0.0, 0.0, 0.1177, 0.0, 0.5452, 0.02, 0.0085, 0.0064, 0.1407, 0.0008, 0.0149, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.1371, 0.0125, 0.0, 0.0, 0.1013, 0.0, 0.5517, 0.019, 0.0088, 0.0069, 0.154, 0.0008, 0.0079, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.1221, 0.0132, 0.0, 0.0, 0.0743, 0.0, 0.5879, 0.0157, 0.0097, 0.0077, 0.1608, 0.001, 0.0075, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 54.0, 37.0]), label=0.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 57.0, 35.0]), label=6.0, probability=DenseVector([0.1331, 0.0127, 0.0, 0.0, 0.0795, 0.0, 0.5768, 0.0168, 0.0092, 0.0075, 0.1557, 0.0008, 0.008, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 57.0, 42.0]), label=6.0, probability=DenseVector([0.0718, 0.0434, 0.0194, 0.0044, 0.059, 0.0, 0.5504, 0.0194, 0.0179, 0.0167, 0.1616, 0.0018, 0.034, 0.0002]))
Row(prediction=6.0, features=DenseVector([6.0, 58.0, 35.0]), label=6.0, probability=DenseVector([0.1331, 0.0127, 0.0, 0.0, 0.0795, 0.0, 0.5768, 0.0168, 0.0092, 0.0075, 0.1557, 0.0008, 0.008, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 59.0, 39.0]), label=6.0, probability=DenseVector([0.1197, 0.0141, 0.0, 0.0, 0.0716, 0.0, 0.5998, 0.0146, 0.0092, 0.0075, 0.1552, 0.001, 0.0074, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 60.0, 37.0]), label=6.0, probability=DenseVector([0.1331, 0.0127, 0.0, 0.0, 0.0795, 0.0, 0.5768, 0.0168, 0.0092, 0.0075, 0.1557, 0.0008, 0.008, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 62.0, 35.0]), label=6.0, probability=DenseVector([0.1331, 0.0127, 0.0, 0.0, 0.0795, 0.0, 0.5768, 0.0168, 0.0092, 0.0075, 0.1557, 0.0008, 0.008, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.3732, 0.2209, 0.0, 0.0014, 0.1791, 0.0, 0.0126, 0.1002, 0.0377, 0.0005, 0.0431, 0.0, 0.0313, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.3732, 0.2209, 0.0, 0.0014, 0.1791, 0.0, 0.0126, 0.1002, 0.0377, 0.0005, 0.0431, 0.0, 0.0313, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.3559, 0.2469, 0.0, 0.0014, 0.1653, 0.0, 0.0136, 0.111, 0.035, 0.0006, 0.0401, 0.0, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 31.0, 38.0]), label=6.0, probability=DenseVector([0.3215, 0.2686, 0.0, 0.0012, 0.1417, 0.0, 0.0139, 0.126, 0.0227, 0.0072, 0.0374, 0.0001, 0.0598, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 32.0, 31.0]), label=0.0, probability=DenseVector([0.4342, 0.1142, 0.0, 0.0018, 0.2164, 0.0, 0.0066, 0.0759, 0.053, 0.0044, 0.0517, 0.0, 0.0416, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5178, 0.0825, 0.0, 0.0026, 0.2242, 0.0, 0.0083, 0.0535, 0.0246, 0.0052, 0.062, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5178, 0.0825, 0.0, 0.0026, 0.2242, 0.0, 0.0083, 0.0535, 0.0246, 0.0052, 0.062, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 28.0]), label=0.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4172, 0.0391, 0.0, 0.0, 0.2429, 0.0, 0.024, 0.0412, 0.0203, 0.0194, 0.1752, 0.0, 0.0205, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.3957, 0.0458, 0.0, 0.0, 0.2291, 0.0, 0.029, 0.0407, 0.0213, 0.0241, 0.1928, 0.0, 0.0213, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.4932, 0.0686, 0.0, 0.0, 0.1424, 0.0, 0.0455, 0.0347, 0.0142, 0.0174, 0.1624, 0.0, 0.0214, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.4932, 0.0686, 0.0, 0.0, 0.1424, 0.0, 0.0455, 0.0347, 0.0142, 0.0174, 0.1624, 0.0, 0.0214, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 43.0]), label=0.0, probability=DenseVector([0.3426, 0.1872, 0.001, 0.0004, 0.1024, 0.0, 0.0728, 0.0503, 0.0283, 0.016, 0.15, 0.0012, 0.0478, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.038, 0.0, 0.0, 0.2421, 0.0, 0.0264, 0.042, 0.0233, 0.0199, 0.1773, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 39.0]), label=0.0, probability=DenseVector([0.3783, 0.0545, 0.0003, 0.0001, 0.223, 0.0, 0.0331, 0.0426, 0.0232, 0.0265, 0.195, 0.0002, 0.0231, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 39.0]), label=0.0, probability=DenseVector([0.3783, 0.0545, 0.0003, 0.0001, 0.223, 0.0, 0.0331, 0.0426, 0.0232, 0.0265, 0.195, 0.0002, 0.0231, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 31.0]), label=0.0, probability=DenseVector([0.4124, 0.0471, 0.0, 0.0, 0.2456, 0.0, 0.0263, 0.0471, 0.0299, 0.0128, 0.1516, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.038, 0.0, 0.0, 0.2421, 0.0, 0.0264, 0.042, 0.0233, 0.0199, 0.1773, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 37.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 37.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.3783, 0.0545, 0.0003, 0.0001, 0.223, 0.0, 0.0331, 0.0426, 0.0232, 0.0265, 0.195, 0.0002, 0.0231, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.3783, 0.0545, 0.0003, 0.0001, 0.223, 0.0, 0.0331, 0.0426, 0.0232, 0.0265, 0.195, 0.0002, 0.0231, 0.0]))
Row(prediction=10.0, features=DenseVector([7.0, 44.0, 41.0]), label=0.0, probability=DenseVector([0.1944, 0.1344, 0.0027, 0.0014, 0.1244, 0.0, 0.1103, 0.0501, 0.0471, 0.0372, 0.2505, 0.0008, 0.0467, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 34.0]), label=9.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([7.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.1777, 0.0999, 0.0037, 0.0014, 0.1212, 0.0, 0.1307, 0.048, 0.0443, 0.0403, 0.2843, 0.0007, 0.0476, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 46.0, 31.0]), label=0.0, probability=DenseVector([0.4055, 0.0462, 0.0, 0.0, 0.2409, 0.0, 0.0329, 0.0485, 0.0314, 0.012, 0.1564, 0.0, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 46.0, 35.0]), label=0.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 46.0, 39.0]), label=0.0, probability=DenseVector([0.3714, 0.0537, 0.0003, 0.0001, 0.2183, 0.0, 0.0398, 0.044, 0.0246, 0.0257, 0.1998, 0.0002, 0.0221, 0.0]))
Row(prediction=10.0, features=DenseVector([7.0, 46.0, 41.0]), label=0.0, probability=DenseVector([0.18, 0.0999, 0.0037, 0.0014, 0.1224, 0.0, 0.1301, 0.0454, 0.0448, 0.0409, 0.2841, 0.0007, 0.0467, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 47.0, 29.0]), label=6.0, probability=DenseVector([0.3793, 0.0556, 0.0, 0.0, 0.2186, 0.0, 0.0587, 0.0599, 0.0458, 0.0117, 0.1376, 0.0, 0.0329, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 47.0, 34.0]), label=0.0, probability=DenseVector([0.3939, 0.0384, 0.0, 0.0, 0.2316, 0.0, 0.0451, 0.0422, 0.024, 0.0223, 0.1833, 0.0, 0.0194, 0.0]))
Row(prediction=10.0, features=DenseVector([7.0, 47.0, 41.0]), label=0.0, probability=DenseVector([0.1681, 0.0789, 0.0197, 0.0044, 0.1208, 0.0, 0.1768, 0.0367, 0.0456, 0.0418, 0.2599, 0.002, 0.0451, 0.0002]))
Row(prediction=0.0, features=DenseVector([7.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.3424, 0.0453, 0.0002, 0.0, 0.1704, 0.0, 0.1993, 0.048, 0.0208, 0.0233, 0.1228, 0.0007, 0.0268, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.2744, 0.0317, 0.0002, 0.0, 0.1198, 0.0, 0.3905, 0.0302, 0.0182, 0.0195, 0.0969, 0.0019, 0.0167, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 51.0, 27.0]), label=0.0, probability=DenseVector([0.313, 0.0418, 0.0002, 0.0, 0.1043, 0.0, 0.3897, 0.0317, 0.0234, 0.0139, 0.0615, 0.0022, 0.0181, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 51.0, 27.0]), label=0.0, probability=DenseVector([0.313, 0.0418, 0.0002, 0.0, 0.1043, 0.0, 0.3897, 0.0317, 0.0234, 0.0139, 0.0615, 0.0022, 0.0181, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 51.0, 30.0]), label=0.0, probability=DenseVector([0.3001, 0.0367, 0.0002, 0.0, 0.1175, 0.0, 0.3939, 0.0289, 0.0214, 0.0139, 0.069, 0.0022, 0.0161, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.2623, 0.0276, 0.0002, 0.0, 0.1041, 0.0, 0.4522, 0.0288, 0.0168, 0.0147, 0.0785, 0.0022, 0.0126, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.2653, 0.0314, 0.0002, 0.0, 0.0976, 0.0, 0.4613, 0.0249, 0.0178, 0.0131, 0.0727, 0.0022, 0.0133, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 53.0, 41.0]), label=6.0, probability=DenseVector([0.1487, 0.0898, 0.0196, 0.0043, 0.0794, 0.0, 0.395, 0.0189, 0.0307, 0.0379, 0.1394, 0.0034, 0.0326, 0.0002]))
Row(prediction=6.0, features=DenseVector([7.0, 55.0, 38.0]), label=0.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 58.0, 32.0]), label=6.0, probability=DenseVector([0.2335, 0.0285, 0.0002, 0.0, 0.0849, 0.0, 0.5207, 0.0195, 0.0144, 0.0103, 0.0753, 0.0018, 0.0108, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 62.0, 33.0]), label=6.0, probability=DenseVector([0.2256, 0.027, 0.0002, 0.0, 0.0815, 0.0, 0.539, 0.0178, 0.0135, 0.0092, 0.0741, 0.0016, 0.0104, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 31.0, 36.0]), label=0.0, probability=DenseVector([0.3559, 0.2469, 0.0, 0.0014, 0.1653, 0.0, 0.0136, 0.111, 0.035, 0.0006, 0.0401, 0.0, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 30.0]), label=0.0, probability=DenseVector([0.4342, 0.1142, 0.0, 0.0018, 0.2164, 0.0, 0.0066, 0.0759, 0.053, 0.0044, 0.0517, 0.0, 0.0416, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5178, 0.0825, 0.0, 0.0026, 0.2242, 0.0, 0.0083, 0.0535, 0.0246, 0.0052, 0.062, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 33.0, 44.0]), label=0.0, probability=DenseVector([0.1786, 0.3396, 0.0008, 0.008, 0.0443, 0.0009, 0.0559, 0.1246, 0.0329, 0.0147, 0.0434, 0.0007, 0.1556, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 28.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 35.0, 43.0]), label=6.0, probability=DenseVector([0.2535, 0.2842, 0.0007, 0.0089, 0.0587, 0.0002, 0.0609, 0.1089, 0.0326, 0.0101, 0.0698, 0.0017, 0.1099, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 29.0]), label=4.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.5599, 0.0789, 0.0, 0.0001, 0.1335, 0.0, 0.0352, 0.0329, 0.0102, 0.0116, 0.1193, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 37.0]), label=6.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.4289, 0.1865, 0.0007, 0.0071, 0.0841, 0.0002, 0.0506, 0.0529, 0.026, 0.0145, 0.1079, 0.0019, 0.0387, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.4553, 0.1719, 0.0003, 0.0031, 0.091, 0.0002, 0.0514, 0.0453, 0.0192, 0.014, 0.1167, 0.0006, 0.0311, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.4553, 0.1719, 0.0003, 0.0031, 0.091, 0.0002, 0.0514, 0.0453, 0.0192, 0.014, 0.1167, 0.0006, 0.0311, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 40.0, 47.0]), label=6.0, probability=DenseVector([0.1973, 0.2691, 0.0019, 0.0055, 0.0637, 0.0002, 0.1065, 0.075, 0.0609, 0.0244, 0.0744, 0.0039, 0.1171, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.4553, 0.1719, 0.0003, 0.0031, 0.091, 0.0002, 0.0514, 0.0453, 0.0192, 0.014, 0.1167, 0.0006, 0.0311, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 42.0]), label=6.0, probability=DenseVector([0.4569, 0.1739, 0.0003, 0.0031, 0.091, 0.0002, 0.0489, 0.0452, 0.0206, 0.0124, 0.115, 0.0006, 0.0319, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4205, 0.0482, 0.0, 0.0, 0.2464, 0.0, 0.0239, 0.0462, 0.027, 0.0123, 0.1496, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 31.0]), label=6.0, probability=DenseVector([0.4205, 0.0482, 0.0, 0.0, 0.2464, 0.0, 0.0239, 0.0462, 0.027, 0.0123, 0.1496, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4172, 0.0391, 0.0, 0.0, 0.2429, 0.0, 0.024, 0.0412, 0.0203, 0.0194, 0.1752, 0.0, 0.0205, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 34.0]), label=9.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 36.0]), label=9.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 30.0]), label=0.0, probability=DenseVector([0.4124, 0.0471, 0.0, 0.0, 0.2456, 0.0, 0.0263, 0.0471, 0.0299, 0.0128, 0.1516, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 37.0]), label=9.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 30.0]), label=6.0, probability=DenseVector([0.4124, 0.0471, 0.0, 0.0, 0.2456, 0.0, 0.0263, 0.0471, 0.0299, 0.0128, 0.1516, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.038, 0.0, 0.0, 0.2421, 0.0, 0.0264, 0.042, 0.0233, 0.0199, 0.1773, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.3783, 0.0545, 0.0003, 0.0001, 0.223, 0.0, 0.0331, 0.0426, 0.0232, 0.0265, 0.195, 0.0002, 0.0231, 0.0]))
Row(prediction=10.0, features=DenseVector([8.0, 44.0, 42.0]), label=0.0, probability=DenseVector([0.1753, 0.1311, 0.0027, 0.0014, 0.1279, 0.0, 0.1123, 0.0529, 0.0503, 0.0366, 0.2619, 0.0008, 0.0467, 0.0]))
Row(prediction=10.0, features=DenseVector([8.0, 44.0, 46.0]), label=9.0, probability=DenseVector([0.1263, 0.1315, 0.0166, 0.0092, 0.1282, 0.0002, 0.1535, 0.0565, 0.0811, 0.0288, 0.1829, 0.0036, 0.0814, 0.0003]))
Row(prediction=0.0, features=DenseVector([8.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.4105, 0.038, 0.0, 0.0, 0.2405, 0.0, 0.0269, 0.0431, 0.0249, 0.0195, 0.175, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.4105, 0.038, 0.0, 0.0, 0.2405, 0.0, 0.0269, 0.0431, 0.0249, 0.0195, 0.175, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.4105, 0.038, 0.0, 0.0, 0.2405, 0.0, 0.0269, 0.0431, 0.0249, 0.0195, 0.175, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 45.0, 39.0]), label=6.0, probability=DenseVector([0.3796, 0.0545, 0.0003, 0.0001, 0.2213, 0.0, 0.0336, 0.0436, 0.0247, 0.0261, 0.1928, 0.0002, 0.0231, 0.0]))
Row(prediction=10.0, features=DenseVector([8.0, 45.0, 41.0]), label=0.0, probability=DenseVector([0.1777, 0.0999, 0.0037, 0.0014, 0.1212, 0.0, 0.1307, 0.048, 0.0443, 0.0403, 0.2843, 0.0007, 0.0476, 0.0]))
Row(prediction=10.0, features=DenseVector([8.0, 45.0, 45.0]), label=0.0, probability=DenseVector([0.1261, 0.1137, 0.0164, 0.0084, 0.1262, 0.0002, 0.1539, 0.0579, 0.0736, 0.0291, 0.2225, 0.0031, 0.0686, 0.0003]))
Row(prediction=0.0, features=DenseVector([8.0, 46.0, 36.0]), label=6.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=10.0, features=DenseVector([8.0, 47.0, 40.0]), label=0.0, probability=DenseVector([0.2359, 0.0624, 0.0003, 0.0001, 0.1533, 0.0, 0.1062, 0.0409, 0.0414, 0.0316, 0.286, 0.0004, 0.0414, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 48.0, 30.0]), label=6.0, probability=DenseVector([0.3472, 0.0478, 0.0002, 0.0, 0.1717, 0.0, 0.199, 0.0498, 0.0234, 0.0204, 0.1111, 0.0007, 0.0286, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 48.0, 30.0]), label=0.0, probability=DenseVector([0.3472, 0.0478, 0.0002, 0.0, 0.1717, 0.0, 0.199, 0.0498, 0.0234, 0.0204, 0.1111, 0.0007, 0.0286, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 48.0, 33.0]), label=0.0, probability=DenseVector([0.323, 0.0504, 0.0002, 0.0, 0.1704, 0.0, 0.1829, 0.0409, 0.0218, 0.0287, 0.152, 0.0007, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.3198, 0.0496, 0.0002, 0.0, 0.1747, 0.0, 0.1911, 0.0396, 0.021, 0.0319, 0.1428, 0.0007, 0.0285, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 49.0, 28.0]), label=0.0, probability=DenseVector([0.3443, 0.0571, 0.0002, 0.0, 0.1607, 0.0, 0.2088, 0.0544, 0.0265, 0.0195, 0.0933, 0.0007, 0.0346, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.3472, 0.0478, 0.0002, 0.0, 0.1717, 0.0, 0.199, 0.0498, 0.0234, 0.0204, 0.1111, 0.0007, 0.0286, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 49.0, 48.0]), label=6.0, probability=DenseVector([0.1033, 0.0992, 0.0401, 0.0115, 0.0721, 0.0002, 0.3704, 0.0234, 0.0584, 0.0379, 0.1287, 0.008, 0.0462, 0.0004]))
Row(prediction=6.0, features=DenseVector([8.0, 50.0, 28.0]), label=0.0, probability=DenseVector([0.297, 0.0458, 0.0002, 0.0, 0.1238, 0.0, 0.352, 0.0378, 0.0247, 0.0182, 0.0734, 0.0019, 0.025, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 50.0, 28.0]), label=0.0, probability=DenseVector([0.297, 0.0458, 0.0002, 0.0, 0.1238, 0.0, 0.352, 0.0378, 0.0247, 0.0182, 0.0734, 0.0019, 0.025, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.2745, 0.0319, 0.0002, 0.0, 0.1024, 0.0, 0.4422, 0.0259, 0.018, 0.0142, 0.0746, 0.0022, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.2745, 0.0319, 0.0002, 0.0, 0.1024, 0.0, 0.4422, 0.0259, 0.018, 0.0142, 0.0746, 0.0022, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 52.0, 25.0]), label=0.0, probability=DenseVector([0.3039, 0.0413, 0.0002, 0.0, 0.0995, 0.0, 0.4088, 0.0308, 0.0232, 0.0128, 0.0596, 0.0022, 0.0176, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 52.0, 28.0]), label=0.0, probability=DenseVector([0.3039, 0.0413, 0.0002, 0.0, 0.0995, 0.0, 0.4088, 0.0308, 0.0232, 0.0128, 0.0596, 0.0022, 0.0176, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.2653, 0.0314, 0.0002, 0.0, 0.0976, 0.0, 0.4613, 0.0249, 0.0178, 0.0131, 0.0727, 0.0022, 0.0133, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 52.0, 40.0]), label=6.0, probability=DenseVector([0.1834, 0.0683, 0.0002, 0.0, 0.0779, 0.0, 0.4386, 0.0159, 0.0219, 0.0271, 0.1386, 0.0022, 0.0258, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 52.0, 43.0]), label=6.0, probability=DenseVector([0.1041, 0.095, 0.0266, 0.0079, 0.0755, 0.0, 0.423, 0.0163, 0.0409, 0.036, 0.1316, 0.005, 0.037, 0.0011]))
Row(prediction=6.0, features=DenseVector([8.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 54.0, 42.0]), label=6.0, probability=DenseVector([0.122, 0.0953, 0.0196, 0.0043, 0.0758, 0.0, 0.4246, 0.0186, 0.0355, 0.0371, 0.1295, 0.0045, 0.033, 0.0002]))
Row(prediction=6.0, features=DenseVector([8.0, 56.0, 37.0]), label=6.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 56.0, 47.0]), label=6.0, probability=DenseVector([0.0992, 0.1166, 0.027, 0.0107, 0.082, 0.0002, 0.3723, 0.0199, 0.0549, 0.0434, 0.1288, 0.0068, 0.0379, 0.0003]))
Row(prediction=1.0, features=DenseVector([9.0, 24.0, 40.0]), label=0.0, probability=DenseVector([0.2124, 0.3933, 0.0, 0.0033, 0.0906, 0.0, 0.0494, 0.0976, 0.0151, 0.0153, 0.049, 0.0, 0.074, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 29.0, 31.0]), label=0.0, probability=DenseVector([0.2439, 0.255, 0.0, 0.001, 0.1524, 0.0, 0.0108, 0.1621, 0.0847, 0.0004, 0.026, 0.0001, 0.0636, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 29.0, 31.0]), label=0.0, probability=DenseVector([0.2439, 0.255, 0.0, 0.001, 0.1524, 0.0, 0.0108, 0.1621, 0.0847, 0.0004, 0.026, 0.0001, 0.0636, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 31.0, 31.0]), label=0.0, probability=DenseVector([0.3073, 0.2188, 0.0, 0.0013, 0.1764, 0.0, 0.007, 0.1241, 0.0755, 0.0001, 0.0311, 0.0, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 31.0, 36.0]), label=0.0, probability=DenseVector([0.3559, 0.2469, 0.0, 0.0014, 0.1653, 0.0, 0.0136, 0.111, 0.035, 0.0006, 0.0401, 0.0, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 31.0, 38.0]), label=0.0, probability=DenseVector([0.3215, 0.2686, 0.0, 0.0012, 0.1417, 0.0, 0.0139, 0.126, 0.0227, 0.0072, 0.0374, 0.0001, 0.0598, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 17.0]), label=0.0, probability=DenseVector([0.3431, 0.1558, 0.0, 0.0008, 0.165, 0.0, 0.0099, 0.1471, 0.0913, 0.0044, 0.0388, 0.0, 0.0438, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 29.0]), label=0.0, probability=DenseVector([0.3431, 0.1558, 0.0, 0.0008, 0.165, 0.0, 0.0099, 0.1471, 0.0913, 0.0044, 0.0388, 0.0, 0.0438, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5178, 0.0825, 0.0, 0.0026, 0.2242, 0.0, 0.0083, 0.0535, 0.0246, 0.0052, 0.062, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 32.0, 41.0]), label=6.0, probability=DenseVector([0.2633, 0.2877, 0.0008, 0.0092, 0.091, 0.0009, 0.064, 0.09, 0.0219, 0.0227, 0.0709, 0.0008, 0.0769, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 36.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 37.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 40.0]), label=0.0, probability=DenseVector([0.4971, 0.1118, 0.0, 0.001, 0.1381, 0.0, 0.0405, 0.0496, 0.0116, 0.0108, 0.1035, 0.0001, 0.0359, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 41.0]), label=0.0, probability=DenseVector([0.3764, 0.2127, 0.0007, 0.0081, 0.0888, 0.0002, 0.0552, 0.0688, 0.026, 0.0133, 0.0922, 0.0018, 0.0559, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 28.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 36.0, 46.0]), label=6.0, probability=DenseVector([0.1579, 0.3285, 0.0011, 0.009, 0.0418, 0.0002, 0.069, 0.1207, 0.0489, 0.0178, 0.0441, 0.0028, 0.1582, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 28.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 25.0]), label=6.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 41.0]), label=0.0, probability=DenseVector([0.4289, 0.1865, 0.0007, 0.0071, 0.0841, 0.0002, 0.0506, 0.0529, 0.026, 0.0145, 0.1079, 0.0019, 0.0387, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 39.0]), label=6.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.4553, 0.1719, 0.0003, 0.0031, 0.091, 0.0002, 0.0514, 0.0453, 0.0192, 0.014, 0.1167, 0.0006, 0.0311, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 28.0]), label=0.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 39.0]), label=9.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 40.0]), label=9.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 41.0]), label=9.0, probability=DenseVector([0.4553, 0.1719, 0.0003, 0.0031, 0.091, 0.0002, 0.0514, 0.0453, 0.0192, 0.014, 0.1167, 0.0006, 0.0311, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 41.0]), label=6.0, probability=DenseVector([0.4553, 0.1719, 0.0003, 0.0031, 0.091, 0.0002, 0.0514, 0.0453, 0.0192, 0.014, 0.1167, 0.0006, 0.0311, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4205, 0.0482, 0.0, 0.0, 0.2464, 0.0, 0.0239, 0.0462, 0.027, 0.0123, 0.1496, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4205, 0.0482, 0.0, 0.0, 0.2464, 0.0, 0.0239, 0.0462, 0.027, 0.0123, 0.1496, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 37.0]), label=9.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.3957, 0.0458, 0.0, 0.0, 0.2291, 0.0, 0.029, 0.0407, 0.0213, 0.0241, 0.1928, 0.0, 0.0213, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 42.0]), label=0.0, probability=DenseVector([0.4332, 0.1577, 0.001, 0.0004, 0.0979, 0.0, 0.0579, 0.0445, 0.0223, 0.017, 0.1385, 0.0004, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.038, 0.0, 0.0, 0.2421, 0.0, 0.0264, 0.042, 0.0233, 0.0199, 0.1773, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 40.0]), label=6.0, probability=DenseVector([0.2744, 0.068, 0.0003, 0.0001, 0.1886, 0.0, 0.0791, 0.0551, 0.0253, 0.0361, 0.2439, 0.0002, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 41.0]), label=0.0, probability=DenseVector([0.2345, 0.1508, 0.0027, 0.0014, 0.1198, 0.0, 0.095, 0.0633, 0.037, 0.0395, 0.2199, 0.0008, 0.0352, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 29.0]), label=0.0, probability=DenseVector([0.3957, 0.053, 0.0, 0.0, 0.2317, 0.0, 0.0298, 0.0586, 0.0439, 0.0116, 0.1449, 0.0, 0.0309, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([9.0, 44.0, 40.0]), label=0.0, probability=DenseVector([0.2518, 0.0576, 0.0003, 0.0001, 0.1808, 0.0, 0.087, 0.0392, 0.0367, 0.0321, 0.2725, 0.0002, 0.0417, 0.0]))
Row(prediction=10.0, features=DenseVector([9.0, 44.0, 43.0]), label=6.0, probability=DenseVector([0.1741, 0.137, 0.0027, 0.0014, 0.1298, 0.0, 0.1107, 0.0502, 0.0513, 0.0335, 0.257, 0.0008, 0.0517, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 45.0, 30.0]), label=6.0, probability=DenseVector([0.4137, 0.0471, 0.0, 0.0, 0.2439, 0.0, 0.0268, 0.0481, 0.0315, 0.0123, 0.1494, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.4137, 0.0471, 0.0, 0.0, 0.2439, 0.0, 0.0268, 0.0481, 0.0315, 0.0123, 0.1494, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.4105, 0.038, 0.0, 0.0, 0.2405, 0.0, 0.0269, 0.0431, 0.0249, 0.0195, 0.175, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 45.0, 39.0]), label=0.0, probability=DenseVector([0.3796, 0.0545, 0.0003, 0.0001, 0.2213, 0.0, 0.0336, 0.0436, 0.0247, 0.0261, 0.1928, 0.0002, 0.0231, 0.0]))
Row(prediction=10.0, features=DenseVector([9.0, 45.0, 40.0]), label=6.0, probability=DenseVector([0.2422, 0.0621, 0.0003, 0.0001, 0.1577, 0.0, 0.0915, 0.0428, 0.0399, 0.0327, 0.2877, 0.0002, 0.0426, 0.0]))
Row(prediction=10.0, features=DenseVector([9.0, 45.0, 43.0]), label=0.0, probability=DenseVector([0.1574, 0.1025, 0.0037, 0.0014, 0.1266, 0.0, 0.1311, 0.0481, 0.0485, 0.0366, 0.2908, 0.0007, 0.0525, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 46.0, 33.0]), label=0.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 46.0, 33.0]), label=0.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 46.0, 35.0]), label=0.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 46.0, 38.0]), label=6.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 47.0, 35.0]), label=0.0, probability=DenseVector([0.3939, 0.0384, 0.0, 0.0, 0.2316, 0.0, 0.0451, 0.0422, 0.024, 0.0223, 0.1833, 0.0, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.3939, 0.0384, 0.0, 0.0, 0.2316, 0.0, 0.0451, 0.0422, 0.024, 0.0223, 0.1833, 0.0, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 47.0, 38.0]), label=6.0, probability=DenseVector([0.3939, 0.0384, 0.0, 0.0, 0.2316, 0.0, 0.0451, 0.0422, 0.024, 0.0223, 0.1833, 0.0, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 47.0, 38.0]), label=0.0, probability=DenseVector([0.3939, 0.0384, 0.0, 0.0, 0.2316, 0.0, 0.0451, 0.0422, 0.024, 0.0223, 0.1833, 0.0, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 47.0, 39.0]), label=0.0, probability=DenseVector([0.3571, 0.0546, 0.0003, 0.0001, 0.2131, 0.0, 0.0541, 0.0432, 0.0249, 0.0277, 0.2032, 0.0002, 0.0214, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.3424, 0.0453, 0.0002, 0.0, 0.1704, 0.0, 0.1993, 0.048, 0.0208, 0.0233, 0.1228, 0.0007, 0.0268, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.323, 0.0504, 0.0002, 0.0, 0.1704, 0.0, 0.1829, 0.0409, 0.0218, 0.0287, 0.152, 0.0007, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 48.0, 37.0]), label=6.0, probability=DenseVector([0.3198, 0.0496, 0.0002, 0.0, 0.1747, 0.0, 0.1911, 0.0396, 0.021, 0.0319, 0.1428, 0.0007, 0.0285, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 50.0, 29.0]), label=0.0, probability=DenseVector([0.297, 0.0458, 0.0002, 0.0, 0.1238, 0.0, 0.352, 0.0378, 0.0247, 0.0182, 0.0734, 0.0019, 0.025, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 50.0, 38.0]), label=0.0, probability=DenseVector([0.2744, 0.0317, 0.0002, 0.0, 0.1198, 0.0, 0.3905, 0.0302, 0.0182, 0.0195, 0.0969, 0.0019, 0.0167, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 51.0, 35.0]), label=0.0, probability=DenseVector([0.2623, 0.0276, 0.0002, 0.0, 0.1041, 0.0, 0.4522, 0.0288, 0.0168, 0.0147, 0.0785, 0.0022, 0.0126, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.2395, 0.0268, 0.0002, 0.0, 0.0995, 0.0, 0.466, 0.0276, 0.0165, 0.0205, 0.0884, 0.0024, 0.0125, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 53.0, 31.0]), label=0.0, probability=DenseVector([0.2909, 0.0362, 0.0002, 0.0, 0.1127, 0.0, 0.413, 0.028, 0.0212, 0.0128, 0.0671, 0.0022, 0.0156, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.2653, 0.0314, 0.0002, 0.0, 0.0976, 0.0, 0.4613, 0.0249, 0.0178, 0.0131, 0.0727, 0.0022, 0.0133, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 54.0, 25.0]), label=6.0, probability=DenseVector([0.3039, 0.0413, 0.0002, 0.0, 0.0995, 0.0, 0.4088, 0.0308, 0.0232, 0.0128, 0.0596, 0.0022, 0.0176, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 55.0, 35.0]), label=0.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 55.0, 36.0]), label=0.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 56.0, 39.0]), label=6.0, probability=DenseVector([0.2303, 0.0263, 0.0002, 0.0, 0.0947, 0.0, 0.4852, 0.0266, 0.0163, 0.0194, 0.0865, 0.0024, 0.012, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 57.0, 34.0]), label=6.0, probability=DenseVector([0.2476, 0.0315, 0.0002, 0.0, 0.0946, 0.0, 0.4812, 0.0233, 0.0167, 0.0127, 0.0771, 0.0022, 0.0129, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 57.0, 37.0]), label=6.0, probability=DenseVector([0.2354, 0.0271, 0.0002, 0.0, 0.0962, 0.0, 0.4912, 0.0262, 0.0155, 0.0131, 0.081, 0.0022, 0.0117, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 59.0, 32.0]), label=6.0, probability=DenseVector([0.2256, 0.027, 0.0002, 0.0, 0.0815, 0.0, 0.539, 0.0178, 0.0135, 0.0092, 0.0741, 0.0016, 0.0104, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 26.0, 31.0]), label=6.0, probability=DenseVector([0.2229, 0.2764, 0.0, 0.0003, 0.1372, 0.0, 0.0229, 0.173, 0.0783, 0.0004, 0.0239, 0.0001, 0.0646, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 29.0, 30.0]), label=0.0, probability=DenseVector([0.2364, 0.2633, 0.0, 0.001, 0.1506, 0.0, 0.0103, 0.1659, 0.0836, 0.0004, 0.0251, 0.0001, 0.0632, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 29.0, 32.0]), label=0.0, probability=DenseVector([0.2765, 0.2788, 0.0, 0.0003, 0.1405, 0.0, 0.0193, 0.1607, 0.0535, 0.0009, 0.0323, 0.0001, 0.0371, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 29.0, 38.0]), label=0.0, probability=DenseVector([0.2596, 0.3271, 0.0, 0.0003, 0.1084, 0.0, 0.0395, 0.1247, 0.0376, 0.0036, 0.0343, 0.0001, 0.0647, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 30.0, 30.0]), label=12.0, probability=DenseVector([0.2999, 0.2271, 0.0, 0.0013, 0.1747, 0.0, 0.0065, 0.1279, 0.0744, 0.0001, 0.0302, 0.0, 0.058, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 30.0, 33.0]), label=0.0, probability=DenseVector([0.3414, 0.2654, 0.0, 0.0014, 0.1591, 0.0, 0.0123, 0.1197, 0.0334, 0.0006, 0.0362, 0.0, 0.0304, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 30.0, 36.0]), label=0.0, probability=DenseVector([0.3414, 0.2654, 0.0, 0.0014, 0.1591, 0.0, 0.0123, 0.1197, 0.0334, 0.0006, 0.0362, 0.0, 0.0304, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.3588, 0.2395, 0.0, 0.0014, 0.1728, 0.0, 0.0113, 0.109, 0.0362, 0.0005, 0.0392, 0.0, 0.0315, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.3588, 0.2395, 0.0, 0.0014, 0.1728, 0.0, 0.0113, 0.109, 0.0362, 0.0005, 0.0392, 0.0, 0.0315, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.3414, 0.2654, 0.0, 0.0014, 0.1591, 0.0, 0.0123, 0.1197, 0.0334, 0.0006, 0.0362, 0.0, 0.0304, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.3414, 0.2654, 0.0, 0.0014, 0.1591, 0.0, 0.0123, 0.1197, 0.0334, 0.0006, 0.0362, 0.0, 0.0304, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.3414, 0.2654, 0.0, 0.0014, 0.1591, 0.0, 0.0123, 0.1197, 0.0334, 0.0006, 0.0362, 0.0, 0.0304, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 35.0]), label=0.0, probability=DenseVector([0.3414, 0.2654, 0.0, 0.0014, 0.1591, 0.0, 0.0123, 0.1197, 0.0334, 0.0006, 0.0362, 0.0, 0.0304, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 36.0]), label=0.0, probability=DenseVector([0.3414, 0.2654, 0.0, 0.0014, 0.1591, 0.0, 0.0123, 0.1197, 0.0334, 0.0006, 0.0362, 0.0, 0.0304, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 36.0]), label=0.0, probability=DenseVector([0.3414, 0.2654, 0.0, 0.0014, 0.1591, 0.0, 0.0123, 0.1197, 0.0334, 0.0006, 0.0362, 0.0, 0.0304, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 30.0]), label=0.0, probability=DenseVector([0.4342, 0.1142, 0.0, 0.0018, 0.2164, 0.0, 0.0066, 0.0759, 0.053, 0.0044, 0.0517, 0.0, 0.0416, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5178, 0.0825, 0.0, 0.0026, 0.2242, 0.0, 0.0083, 0.0535, 0.0246, 0.0052, 0.062, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 39.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=9.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=9.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 40.0]), label=0.0, probability=DenseVector([0.3888, 0.2067, 0.0, 0.0001, 0.1353, 0.0, 0.031, 0.0778, 0.0095, 0.016, 0.0786, 0.0002, 0.056, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 34.0, 43.0]), label=0.0, probability=DenseVector([0.1754, 0.3644, 0.0007, 0.0081, 0.0466, 0.0002, 0.0482, 0.1316, 0.0336, 0.0118, 0.0436, 0.0018, 0.1339, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 26.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 28.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=9.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 40.0]), label=0.0, probability=DenseVector([0.4992, 0.1198, 0.0, 0.0001, 0.1389, 0.0, 0.0338, 0.0486, 0.0098, 0.0115, 0.103, 0.0001, 0.0353, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 41.0]), label=0.0, probability=DenseVector([0.3682, 0.2274, 0.0007, 0.0071, 0.0895, 0.0002, 0.0491, 0.0685, 0.0256, 0.0145, 0.0916, 0.0019, 0.0557, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=6.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.4067, 0.2032, 0.0007, 0.0071, 0.0881, 0.0002, 0.0481, 0.0584, 0.0271, 0.014, 0.1025, 0.0019, 0.0419, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=9.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.5599, 0.0789, 0.0, 0.0001, 0.1335, 0.0, 0.0352, 0.0329, 0.0102, 0.0116, 0.1193, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 41.0]), label=0.0, probability=DenseVector([0.4289, 0.1865, 0.0007, 0.0071, 0.0841, 0.0002, 0.0506, 0.0529, 0.026, 0.0145, 0.1079, 0.0019, 0.0387, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 31.0]), label=12.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 35.0]), label=6.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 39.0]), label=9.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 29.0]), label=0.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 40.0]), label=6.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.4553, 0.1719, 0.0003, 0.0031, 0.091, 0.0002, 0.0514, 0.0453, 0.0192, 0.014, 0.1167, 0.0006, 0.0311, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.4553, 0.1719, 0.0003, 0.0031, 0.091, 0.0002, 0.0514, 0.0453, 0.0192, 0.014, 0.1167, 0.0006, 0.0311, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 41.0, 45.0]), label=0.0, probability=DenseVector([0.2391, 0.2647, 0.0017, 0.0047, 0.0736, 0.0002, 0.0941, 0.0686, 0.0486, 0.0178, 0.0879, 0.003, 0.0962, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.419, 0.0506, 0.0, 0.0, 0.2418, 0.0, 0.0249, 0.0488, 0.0303, 0.013, 0.1445, 0.0, 0.0269, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4158, 0.0415, 0.0, 0.0, 0.2383, 0.0, 0.0251, 0.0438, 0.0237, 0.0202, 0.1702, 0.0, 0.0215, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 33.0]), label=6.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 40.0]), label=6.0, probability=DenseVector([0.4932, 0.0686, 0.0, 0.0, 0.1424, 0.0, 0.0455, 0.0347, 0.0142, 0.0174, 0.1624, 0.0, 0.0214, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 40.0]), label=0.0, probability=DenseVector([0.2744, 0.068, 0.0003, 0.0001, 0.1886, 0.0, 0.0791, 0.0551, 0.0253, 0.0361, 0.2439, 0.0002, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 27.0]), label=0.0, probability=DenseVector([0.384, 0.0556, 0.0, 0.0, 0.2199, 0.0, 0.0328, 0.0681, 0.06, 0.011, 0.1361, 0.0, 0.0325, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 30.0]), label=0.0, probability=DenseVector([0.411, 0.0495, 0.0, 0.0, 0.241, 0.0, 0.0274, 0.0497, 0.0333, 0.0135, 0.1466, 0.0, 0.0281, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.4077, 0.0404, 0.0, 0.0, 0.2375, 0.0, 0.0275, 0.0446, 0.0266, 0.0206, 0.1722, 0.0, 0.0227, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 37.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.3783, 0.0545, 0.0003, 0.0001, 0.223, 0.0, 0.0331, 0.0426, 0.0232, 0.0265, 0.195, 0.0002, 0.0231, 0.0]))
Row(prediction=10.0, features=DenseVector([10.0, 44.0, 40.0]), label=9.0, probability=DenseVector([0.2374, 0.0603, 0.0003, 0.0001, 0.1762, 0.0, 0.0844, 0.0392, 0.0417, 0.0321, 0.2887, 0.0002, 0.0395, 0.0]))
Row(prediction=10.0, features=DenseVector([10.0, 44.0, 40.0]), label=0.0, probability=DenseVector([0.2374, 0.0603, 0.0003, 0.0001, 0.1762, 0.0, 0.0844, 0.0392, 0.0417, 0.0321, 0.2887, 0.0002, 0.0395, 0.0]))
Row(prediction=10.0, features=DenseVector([10.0, 44.0, 41.0]), label=0.0, probability=DenseVector([0.18, 0.137, 0.0027, 0.0014, 0.1197, 0.0, 0.1078, 0.0501, 0.052, 0.0372, 0.2667, 0.0008, 0.0445, 0.0]))
Row(prediction=10.0, features=DenseVector([10.0, 44.0, 42.0]), label=0.0, probability=DenseVector([0.1609, 0.1338, 0.0027, 0.0014, 0.1233, 0.0, 0.1097, 0.0529, 0.0552, 0.0366, 0.2781, 0.0008, 0.0446, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 45.0, 27.0]), label=0.0, probability=DenseVector([0.3853, 0.0556, 0.0, 0.0, 0.2183, 0.0, 0.0333, 0.0691, 0.0616, 0.0105, 0.1339, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 45.0, 27.0]), label=6.0, probability=DenseVector([0.3853, 0.0556, 0.0, 0.0, 0.2183, 0.0, 0.0333, 0.0691, 0.0616, 0.0105, 0.1339, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 45.0, 34.0]), label=6.0, probability=DenseVector([0.4149, 0.0407, 0.0, 0.0, 0.2351, 0.0, 0.0257, 0.0452, 0.0271, 0.0214, 0.1678, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.4149, 0.0407, 0.0, 0.0, 0.2351, 0.0, 0.0257, 0.0452, 0.0271, 0.0214, 0.1678, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4149, 0.0407, 0.0, 0.0, 0.2351, 0.0, 0.0257, 0.0452, 0.0271, 0.0214, 0.1678, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4149, 0.0407, 0.0, 0.0, 0.2351, 0.0, 0.0257, 0.0452, 0.0271, 0.0214, 0.1678, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4149, 0.0407, 0.0, 0.0, 0.2351, 0.0, 0.0257, 0.0452, 0.0271, 0.0214, 0.1678, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.4149, 0.0407, 0.0, 0.0, 0.2351, 0.0, 0.0257, 0.0452, 0.0271, 0.0214, 0.1678, 0.0, 0.022, 0.0]))
Row(prediction=10.0, features=DenseVector([10.0, 45.0, 43.0]), label=0.0, probability=DenseVector([0.1565, 0.1034, 0.0037, 0.0014, 0.1347, 0.0, 0.1275, 0.0436, 0.0539, 0.0339, 0.2908, 0.0007, 0.0499, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 46.0, 27.0]), label=0.0, probability=DenseVector([0.3771, 0.0548, 0.0, 0.0, 0.2153, 0.0, 0.0394, 0.0694, 0.0615, 0.0102, 0.1409, 0.0, 0.0314, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 46.0, 29.0]), label=0.0, probability=DenseVector([0.3771, 0.0548, 0.0, 0.0, 0.2153, 0.0, 0.0394, 0.0694, 0.0615, 0.0102, 0.1409, 0.0, 0.0314, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 46.0, 31.0]), label=0.0, probability=DenseVector([0.4041, 0.0487, 0.0, 0.0, 0.2363, 0.0, 0.034, 0.0511, 0.0347, 0.0127, 0.1513, 0.0, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.4067, 0.0399, 0.0, 0.0, 0.2322, 0.0, 0.0318, 0.0456, 0.027, 0.0211, 0.1748, 0.0, 0.0209, 0.0]))
Row(prediction=10.0, features=DenseVector([10.0, 46.0, 48.0]), label=6.0, probability=DenseVector([0.1056, 0.0965, 0.0381, 0.0124, 0.1272, 0.0002, 0.1851, 0.0477, 0.083, 0.029, 0.2096, 0.0044, 0.0608, 0.0004]))
Row(prediction=0.0, features=DenseVector([10.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.3924, 0.0408, 0.0, 0.0, 0.227, 0.0, 0.0462, 0.0448, 0.0273, 0.023, 0.1783, 0.0, 0.0203, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 48.0, 28.0]), label=6.0, probability=DenseVector([0.3515, 0.0573, 0.0002, 0.0, 0.1558, 0.0, 0.2048, 0.0559, 0.0295, 0.0199, 0.087, 0.0007, 0.0373, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 48.0, 30.0]), label=0.0, probability=DenseVector([0.3545, 0.0479, 0.0002, 0.0, 0.1668, 0.0, 0.195, 0.0514, 0.0263, 0.0209, 0.1049, 0.0007, 0.0314, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 48.0, 41.0]), label=0.0, probability=DenseVector([0.1647, 0.0767, 0.0196, 0.0043, 0.0942, 0.0, 0.346, 0.0218, 0.0381, 0.0366, 0.1613, 0.003, 0.0335, 0.0002]))
Row(prediction=6.0, features=DenseVector([10.0, 48.0, 50.0]), label=6.0, probability=DenseVector([0.0988, 0.1153, 0.0401, 0.0115, 0.0857, 0.0002, 0.3054, 0.0326, 0.0754, 0.0313, 0.1262, 0.01, 0.0671, 0.0004]))
Row(prediction=0.0, features=DenseVector([10.0, 49.0, 36.0]), label=0.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.1128, 0.0994, 0.0401, 0.0115, 0.0766, 0.0002, 0.3617, 0.0233, 0.0601, 0.0375, 0.1205, 0.008, 0.0478, 0.0004]))
Row(prediction=6.0, features=DenseVector([10.0, 50.0, 28.0]), label=0.0, probability=DenseVector([0.297, 0.0458, 0.0002, 0.0, 0.1238, 0.0, 0.352, 0.0378, 0.0247, 0.0182, 0.0734, 0.0019, 0.025, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 52.0, 27.0]), label=0.0, probability=DenseVector([0.3039, 0.0413, 0.0002, 0.0, 0.0995, 0.0, 0.4088, 0.0308, 0.0232, 0.0128, 0.0596, 0.0022, 0.0176, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 52.0, 29.0]), label=0.0, probability=DenseVector([0.3039, 0.0413, 0.0002, 0.0, 0.0995, 0.0, 0.4088, 0.0308, 0.0232, 0.0128, 0.0596, 0.0022, 0.0176, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 52.0, 30.0]), label=0.0, probability=DenseVector([0.2909, 0.0362, 0.0002, 0.0, 0.1127, 0.0, 0.413, 0.028, 0.0212, 0.0128, 0.0671, 0.0022, 0.0156, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 52.0, 35.0]), label=0.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.1582, 0.09, 0.0196, 0.0043, 0.0839, 0.0, 0.3864, 0.0188, 0.0324, 0.0375, 0.1312, 0.0034, 0.0342, 0.0002]))
Row(prediction=6.0, features=DenseVector([10.0, 53.0, 30.0]), label=0.0, probability=DenseVector([0.2909, 0.0362, 0.0002, 0.0, 0.1127, 0.0, 0.413, 0.028, 0.0212, 0.0128, 0.0671, 0.0022, 0.0156, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 53.0, 37.0]), label=0.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.2303, 0.0263, 0.0002, 0.0, 0.0947, 0.0, 0.4852, 0.0266, 0.0163, 0.0194, 0.0865, 0.0024, 0.012, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 53.0, 40.0]), label=6.0, probability=DenseVector([0.1929, 0.0685, 0.0002, 0.0, 0.0824, 0.0, 0.4299, 0.0158, 0.0236, 0.0267, 0.1304, 0.0022, 0.0274, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.2653, 0.0314, 0.0002, 0.0, 0.0976, 0.0, 0.4613, 0.0249, 0.0178, 0.0131, 0.0727, 0.0022, 0.0133, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 54.0, 38.0]), label=6.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 54.0, 38.0]), label=0.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 55.0, 32.0]), label=0.0, probability=DenseVector([0.2653, 0.0314, 0.0002, 0.0, 0.0976, 0.0, 0.4613, 0.0249, 0.0178, 0.0131, 0.0727, 0.0022, 0.0133, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 55.0, 33.0]), label=0.0, probability=DenseVector([0.2653, 0.0314, 0.0002, 0.0, 0.0976, 0.0, 0.4613, 0.0249, 0.0178, 0.0131, 0.0727, 0.0022, 0.0133, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 56.0, 36.0]), label=6.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 57.0, 39.0]), label=6.0, probability=DenseVector([0.2125, 0.0264, 0.0002, 0.0, 0.0917, 0.0, 0.5051, 0.025, 0.0152, 0.0189, 0.0909, 0.0024, 0.0116, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 25.0, 30.0]), label=0.0, probability=DenseVector([0.1603, 0.3577, 0.0, 0.0, 0.0957, 0.0, 0.0113, 0.2141, 0.0901, 0.0046, 0.0062, 0.0005, 0.0596, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 40.0]), label=0.0, probability=DenseVector([0.1192, 0.5313, 0.0001, 0.0044, 0.0391, 0.0, 0.0329, 0.0824, 0.0429, 0.0075, 0.0178, 0.0015, 0.1208, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 31.0]), label=0.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 31.0]), label=0.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 31.0]), label=0.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 32.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 33.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 33.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 34.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 37.0]), label=0.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 46.0]), label=6.0, probability=DenseVector([0.0893, 0.4512, 0.0008, 0.0117, 0.0219, 0.0009, 0.0685, 0.0947, 0.0714, 0.0147, 0.0159, 0.0048, 0.1541, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 52.0]), label=0.0, probability=DenseVector([0.0568, 0.401, 0.0006, 0.0427, 0.0137, 0.0005, 0.0579, 0.1162, 0.0658, 0.0126, 0.0085, 0.0155, 0.2081, 0.0001]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 31.0]), label=0.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 35.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 37.0]), label=6.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 38.0]), label=0.0, probability=DenseVector([0.2304, 0.4535, 0.0, 0.0001, 0.0915, 0.0, 0.0081, 0.0941, 0.0359, 0.0039, 0.0173, 0.0004, 0.0649, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 28.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 29.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 37.0]), label=9.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 31.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=9.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 34.0, 44.0]), label=0.0, probability=DenseVector([0.1383, 0.4566, 0.0008, 0.0105, 0.034, 0.0002, 0.0417, 0.0932, 0.0584, 0.0136, 0.0311, 0.0034, 0.1181, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 34.0, 45.0]), label=0.0, probability=DenseVector([0.1383, 0.4566, 0.0008, 0.0105, 0.034, 0.0002, 0.0417, 0.0932, 0.0584, 0.0136, 0.0311, 0.0034, 0.1181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 35.0, 43.0]), label=0.0, probability=DenseVector([0.1479, 0.4445, 0.0009, 0.0099, 0.0384, 0.0002, 0.0405, 0.0986, 0.0612, 0.0153, 0.0326, 0.0037, 0.1064, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=11.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 36.0, 41.0]), label=0.0, probability=DenseVector([0.2045, 0.3947, 0.001, 0.0088, 0.0507, 0.0002, 0.0403, 0.0965, 0.0625, 0.0195, 0.0433, 0.0036, 0.0744, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 36.0, 42.0]), label=0.0, probability=DenseVector([0.2045, 0.3947, 0.001, 0.0088, 0.0507, 0.0002, 0.0403, 0.0965, 0.0625, 0.0195, 0.0433, 0.0036, 0.0744, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 36.0, 42.0]), label=0.0, probability=DenseVector([0.2045, 0.3947, 0.001, 0.0088, 0.0507, 0.0002, 0.0403, 0.0965, 0.0625, 0.0195, 0.0433, 0.0036, 0.0744, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 36.0, 42.0]), label=0.0, probability=DenseVector([0.2045, 0.3947, 0.001, 0.0088, 0.0507, 0.0002, 0.0403, 0.0965, 0.0625, 0.0195, 0.0433, 0.0036, 0.0744, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=6.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 37.0, 41.0]), label=11.0, probability=DenseVector([0.2399, 0.3626, 0.001, 0.0083, 0.0549, 0.0002, 0.0384, 0.091, 0.064, 0.0217, 0.0559, 0.0036, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 31.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=6.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.3561, 0.2315, 0.0002, 0.0009, 0.1045, 0.0, 0.0256, 0.092, 0.0594, 0.0201, 0.0705, 0.0015, 0.0378, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.2456, 0.3502, 0.001, 0.0082, 0.0557, 0.0002, 0.039, 0.0916, 0.0662, 0.0228, 0.059, 0.0034, 0.0571, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.3528, 0.2298, 0.0002, 0.0009, 0.1029, 0.0, 0.0258, 0.0942, 0.0611, 0.0203, 0.0722, 0.0015, 0.0381, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.3528, 0.2298, 0.0002, 0.0009, 0.1029, 0.0, 0.0258, 0.0942, 0.0611, 0.0203, 0.0722, 0.0015, 0.0381, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.3528, 0.2298, 0.0002, 0.0009, 0.1029, 0.0, 0.0258, 0.0942, 0.0611, 0.0203, 0.0722, 0.0015, 0.0381, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.3528, 0.2298, 0.0002, 0.0009, 0.1029, 0.0, 0.0258, 0.0942, 0.0611, 0.0203, 0.0722, 0.0015, 0.0381, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.3528, 0.2298, 0.0002, 0.0009, 0.1029, 0.0, 0.0258, 0.0942, 0.0611, 0.0203, 0.0722, 0.0015, 0.0381, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 39.0, 42.0]), label=0.0, probability=DenseVector([0.2456, 0.3502, 0.001, 0.0082, 0.0557, 0.0002, 0.039, 0.0916, 0.0662, 0.0228, 0.059, 0.0034, 0.0571, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=6.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.3528, 0.2298, 0.0002, 0.0009, 0.1029, 0.0, 0.0258, 0.0942, 0.0611, 0.0203, 0.0722, 0.0015, 0.0381, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 41.0, 42.0]), label=0.0, probability=DenseVector([0.2506, 0.3547, 0.0008, 0.0045, 0.0584, 0.0002, 0.0375, 0.0896, 0.0621, 0.0242, 0.064, 0.0022, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 41.0, 43.0]), label=0.0, probability=DenseVector([0.2197, 0.3738, 0.0008, 0.0045, 0.0561, 0.0002, 0.0385, 0.0927, 0.0656, 0.0249, 0.0602, 0.0029, 0.0601, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 34.0]), label=6.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 36.0]), label=9.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 38.0]), label=9.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.3233, 0.2251, 0.0002, 0.0009, 0.1086, 0.0, 0.035, 0.0922, 0.0646, 0.0237, 0.0859, 0.0017, 0.039, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 42.0, 43.0]), label=0.0, probability=DenseVector([0.2125, 0.3521, 0.0015, 0.0018, 0.0646, 0.0, 0.0493, 0.0897, 0.0666, 0.0297, 0.0753, 0.0031, 0.0538, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 29.0]), label=0.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 30.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 36.0]), label=9.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 43.0, 43.0]), label=0.0, probability=DenseVector([0.1996, 0.2955, 0.0047, 0.0035, 0.0795, 0.0, 0.0674, 0.0986, 0.0718, 0.0435, 0.0862, 0.0028, 0.0471, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 37.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 38.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 38.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 39.0]), label=6.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 40.0]), label=0.0, probability=DenseVector([0.2665, 0.1594, 0.0006, 0.0002, 0.1397, 0.0, 0.0687, 0.0718, 0.0616, 0.0528, 0.1388, 0.0016, 0.0383, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 44.0, 43.0]), label=0.0, probability=DenseVector([0.1882, 0.2257, 0.0045, 0.0026, 0.1027, 0.0, 0.0911, 0.0728, 0.0641, 0.0616, 0.1394, 0.0023, 0.0451, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 44.0, 46.0]), label=0.0, probability=DenseVector([0.1529, 0.2051, 0.0184, 0.0104, 0.1057, 0.0002, 0.1264, 0.0785, 0.0855, 0.0617, 0.0865, 0.0056, 0.0629, 0.0003]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 38.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 39.0]), label=0.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 40.0]), label=6.0, probability=DenseVector([0.2613, 0.1459, 0.0006, 0.0002, 0.1421, 0.0, 0.0766, 0.067, 0.0594, 0.0526, 0.1536, 0.0014, 0.0393, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 45.0, 41.0]), label=9.0, probability=DenseVector([0.185, 0.1894, 0.0055, 0.0026, 0.1122, 0.0, 0.1105, 0.0663, 0.0618, 0.062, 0.1571, 0.0022, 0.0454, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 46.0, 30.0]), label=6.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 46.0, 38.0]), label=6.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.1898, 0.1624, 0.0064, 0.0025, 0.1165, 0.0, 0.1308, 0.0558, 0.0629, 0.0582, 0.1691, 0.002, 0.0437, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 46.0, 44.0]), label=6.0, probability=DenseVector([0.1616, 0.1457, 0.0397, 0.0136, 0.1046, 0.0002, 0.1353, 0.0584, 0.0735, 0.0623, 0.1521, 0.0062, 0.0464, 0.0004]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 29.0]), label=0.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 29.0]), label=6.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 35.0]), label=9.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 37.0]), label=9.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 49.0, 31.0]), label=0.0, probability=DenseVector([0.3506, 0.0607, 0.0002, 0.0, 0.1369, 0.0, 0.215, 0.0759, 0.0447, 0.0239, 0.056, 0.0018, 0.0342, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.3506, 0.0607, 0.0002, 0.0, 0.1369, 0.0, 0.215, 0.0759, 0.0447, 0.0239, 0.056, 0.0018, 0.0342, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.3321, 0.0732, 0.0002, 0.0, 0.1518, 0.0, 0.1903, 0.0657, 0.0405, 0.032, 0.0773, 0.0014, 0.0355, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 50.0, 28.0]), label=0.0, probability=DenseVector([0.299, 0.0571, 0.0002, 0.0, 0.1125, 0.0, 0.3216, 0.0598, 0.0449, 0.0235, 0.0517, 0.003, 0.0266, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 50.0, 32.0]), label=0.0, probability=DenseVector([0.3074, 0.0518, 0.0002, 0.0, 0.1163, 0.0, 0.3207, 0.06, 0.0406, 0.025, 0.0526, 0.0031, 0.0222, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 51.0, 35.0]), label=0.0, probability=DenseVector([0.3121, 0.05, 0.0002, 0.0, 0.1112, 0.0, 0.3321, 0.0576, 0.0384, 0.023, 0.0526, 0.0029, 0.0198, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 52.0, 36.0]), label=0.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 52.0, 40.0]), label=6.0, probability=DenseVector([0.2222, 0.074, 0.0018, 0.0, 0.108, 0.0, 0.3501, 0.0254, 0.0393, 0.0305, 0.1086, 0.003, 0.0371, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 53.0, 34.0]), label=0.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.3121, 0.05, 0.0002, 0.0, 0.1112, 0.0, 0.3321, 0.0576, 0.0384, 0.023, 0.0526, 0.0029, 0.0198, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 53.0, 36.0]), label=0.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 53.0, 44.0]), label=6.0, probability=DenseVector([0.1445, 0.1003, 0.0283, 0.0109, 0.1032, 0.0002, 0.3069, 0.0262, 0.0596, 0.0535, 0.1101, 0.007, 0.0489, 0.0003]))
Row(prediction=6.0, features=DenseVector([11.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 54.0, 33.0]), label=0.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 54.0, 34.0]), label=0.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 54.0, 39.0]), label=0.0, probability=DenseVector([0.3077, 0.0597, 0.0002, 0.0, 0.1135, 0.0, 0.3138, 0.058, 0.039, 0.0259, 0.0581, 0.0031, 0.0208, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 55.0, 34.0]), label=0.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 55.0, 37.0]), label=6.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 56.0, 40.0]), label=6.0, probability=DenseVector([0.2222, 0.074, 0.0018, 0.0, 0.108, 0.0, 0.3501, 0.0254, 0.0393, 0.0305, 0.1086, 0.003, 0.0371, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 57.0, 33.0]), label=6.0, probability=DenseVector([0.3052, 0.0486, 0.0002, 0.0, 0.1062, 0.0, 0.3518, 0.0554, 0.0385, 0.0219, 0.0489, 0.004, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 59.0, 38.0]), label=0.0, probability=DenseVector([0.2745, 0.0489, 0.0002, 0.0, 0.0858, 0.0, 0.4283, 0.0461, 0.0314, 0.0202, 0.0474, 0.0026, 0.0146, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 60.0, 37.0]), label=6.0, probability=DenseVector([0.2801, 0.0494, 0.0002, 0.0, 0.0866, 0.0, 0.4252, 0.0455, 0.0307, 0.0184, 0.0465, 0.0026, 0.0147, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.2746, 0.0435, 0.0002, 0.0, 0.084, 0.0, 0.4365, 0.0472, 0.0341, 0.0176, 0.044, 0.003, 0.0153, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 63.0, 37.0]), label=6.0, probability=DenseVector([0.2801, 0.0494, 0.0002, 0.0, 0.0866, 0.0, 0.4252, 0.0455, 0.0307, 0.0184, 0.0465, 0.0026, 0.0147, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 63.0, 44.0]), label=6.0, probability=DenseVector([0.1511, 0.1054, 0.0283, 0.0109, 0.1103, 0.0002, 0.2895, 0.0256, 0.0583, 0.0516, 0.1114, 0.007, 0.0501, 0.0003]))
Row(prediction=1.0, features=DenseVector([12.0, 25.0, 51.0]), label=6.0, probability=DenseVector([0.0544, 0.4683, 0.0029, 0.0522, 0.0122, 0.0006, 0.055, 0.0882, 0.0645, 0.0187, 0.0091, 0.0056, 0.1682, 0.0001]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 37.0]), label=0.0, probability=DenseVector([0.1744, 0.486, 0.0, 0.0, 0.0742, 0.0, 0.0142, 0.117, 0.0496, 0.004, 0.0121, 0.0002, 0.0682, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 29.0]), label=0.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 36.0]), label=0.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 36.0]), label=0.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 36.0]), label=0.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 37.0]), label=0.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 38.0]), label=0.0, probability=DenseVector([0.2304, 0.4535, 0.0, 0.0001, 0.0915, 0.0, 0.0081, 0.0941, 0.0359, 0.0039, 0.0173, 0.0004, 0.0649, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 39.0]), label=0.0, probability=DenseVector([0.2191, 0.4831, 0.0, 0.0001, 0.0814, 0.0, 0.0079, 0.0899, 0.0341, 0.0038, 0.0172, 0.0004, 0.063, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 30.0]), label=0.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 35.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 35.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 37.0]), label=0.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 38.0]), label=0.0, probability=DenseVector([0.2304, 0.4535, 0.0, 0.0001, 0.0915, 0.0, 0.0081, 0.0941, 0.0359, 0.0039, 0.0173, 0.0004, 0.0649, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 29.0]), label=4.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 38.0]), label=6.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 33.0, 40.0]), label=0.0, probability=DenseVector([0.2072, 0.4019, 0.0001, 0.0035, 0.0774, 0.0, 0.0261, 0.0904, 0.0611, 0.0137, 0.03, 0.0021, 0.0864, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 29.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 34.0, 41.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=6.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 35.0, 40.0]), label=0.0, probability=DenseVector([0.22, 0.3838, 0.0002, 0.0029, 0.0828, 0.0, 0.0242, 0.0979, 0.0674, 0.0162, 0.032, 0.0025, 0.0702, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 35.0, 41.0]), label=0.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=9.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 36.0, 40.0]), label=0.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 36.0, 45.0]), label=0.0, probability=DenseVector([0.1396, 0.4567, 0.0013, 0.0092, 0.0386, 0.0002, 0.0388, 0.1058, 0.0808, 0.0232, 0.0274, 0.0041, 0.0743, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 36.0, 46.0]), label=12.0, probability=DenseVector([0.1289, 0.4455, 0.0016, 0.01, 0.036, 0.0002, 0.0441, 0.1113, 0.0839, 0.0282, 0.0242, 0.0048, 0.0815, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 36.0, 49.0]), label=6.0, probability=DenseVector([0.1028, 0.4202, 0.0034, 0.0263, 0.0278, 0.0001, 0.0574, 0.1152, 0.0873, 0.0342, 0.0186, 0.0064, 0.1002, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=9.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=9.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 37.0, 41.0]), label=0.0, probability=DenseVector([0.1653, 0.4349, 0.0012, 0.0085, 0.0448, 0.0002, 0.0359, 0.1035, 0.0782, 0.0224, 0.0354, 0.004, 0.0657, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 37.0, 44.0]), label=6.0, probability=DenseVector([0.1506, 0.4441, 0.0013, 0.0087, 0.042, 0.0002, 0.0372, 0.1071, 0.0825, 0.0241, 0.0301, 0.0042, 0.068, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=12.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=6.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 39.0, 46.0]), label=6.0, probability=DenseVector([0.1336, 0.4258, 0.0016, 0.0094, 0.0391, 0.0002, 0.0477, 0.1118, 0.0873, 0.0316, 0.0276, 0.0049, 0.0794, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 39.0, 49.0]), label=6.0, probability=DenseVector([0.1126, 0.3927, 0.004, 0.0259, 0.032, 0.0001, 0.0609, 0.1148, 0.0918, 0.0412, 0.0223, 0.0073, 0.0943, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 26.0]), label=0.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 28.0]), label=0.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=6.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=6.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=6.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 29.0]), label=0.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 29.0]), label=0.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 41.0, 45.0]), label=0.0, probability=DenseVector([0.1452, 0.4267, 0.0022, 0.0059, 0.0427, 0.0002, 0.0465, 0.106, 0.0868, 0.0324, 0.032, 0.0037, 0.0697, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 41.0, 49.0]), label=0.0, probability=DenseVector([0.12, 0.3598, 0.0049, 0.0239, 0.0418, 0.0001, 0.0749, 0.108, 0.0964, 0.0548, 0.0263, 0.0087, 0.0802, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=9.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=9.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.4055, 0.1119, 0.0, 0.0, 0.166, 0.0, 0.024, 0.1055, 0.0716, 0.0268, 0.0633, 0.0004, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.4055, 0.1119, 0.0, 0.0, 0.166, 0.0, 0.024, 0.1055, 0.0716, 0.0268, 0.0633, 0.0004, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.4055, 0.1119, 0.0, 0.0, 0.166, 0.0, 0.024, 0.1055, 0.0716, 0.0268, 0.0633, 0.0004, 0.025, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 42.0, 44.0]), label=0.0, probability=DenseVector([0.1609, 0.3685, 0.0157, 0.0088, 0.053, 0.0002, 0.0517, 0.1014, 0.0868, 0.0346, 0.0531, 0.0051, 0.0598, 0.0003]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 23.0]), label=6.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 29.0]), label=0.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 30.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 34.0]), label=6.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 35.0]), label=9.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 35.0]), label=8.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 37.0]), label=9.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 39.0]), label=0.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 40.0]), label=0.0, probability=DenseVector([0.259, 0.2434, 0.001, 0.001, 0.1105, 0.0, 0.0422, 0.1119, 0.0764, 0.0325, 0.0801, 0.0023, 0.04, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 40.0]), label=0.0, probability=DenseVector([0.259, 0.2434, 0.001, 0.001, 0.1105, 0.0, 0.0422, 0.1119, 0.0764, 0.0325, 0.0801, 0.0023, 0.04, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 43.0, 43.0]), label=0.0, probability=DenseVector([0.1804, 0.323, 0.005, 0.0036, 0.0681, 0.0, 0.0686, 0.1036, 0.0747, 0.0429, 0.0777, 0.003, 0.0494, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 43.0, 43.0]), label=0.0, probability=DenseVector([0.1804, 0.323, 0.005, 0.0036, 0.0681, 0.0, 0.0686, 0.1036, 0.0747, 0.0429, 0.0777, 0.003, 0.0494, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 27.0]), label=0.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 30.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 30.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 37.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 38.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 39.0]), label=9.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 40.0]), label=0.0, probability=DenseVector([0.2669, 0.1778, 0.0009, 0.0003, 0.1301, 0.0, 0.0656, 0.0833, 0.0662, 0.0523, 0.1177, 0.0019, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2669, 0.1778, 0.0009, 0.0003, 0.1301, 0.0, 0.0656, 0.0833, 0.0662, 0.0523, 0.1177, 0.0019, 0.0371, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 44.0, 42.0]), label=0.0, probability=DenseVector([0.1848, 0.2513, 0.0048, 0.0027, 0.0902, 0.0, 0.0898, 0.0823, 0.0681, 0.0613, 0.1162, 0.0025, 0.0459, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 45.0, 38.0]), label=9.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.1859, 0.2205, 0.0058, 0.0027, 0.0981, 0.0, 0.1064, 0.0767, 0.0679, 0.065, 0.1219, 0.0026, 0.0464, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 46.0, 28.0]), label=0.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 46.0, 29.0]), label=0.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 46.0, 30.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 46.0, 31.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 46.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 46.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 46.0, 37.0]), label=6.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 46.0, 41.0]), label=0.0, probability=DenseVector([0.1906, 0.1934, 0.0067, 0.0027, 0.1025, 0.0, 0.1266, 0.0662, 0.069, 0.0612, 0.1339, 0.0024, 0.0447, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 46.0, 43.0]), label=0.0, probability=DenseVector([0.1807, 0.1964, 0.0067, 0.0027, 0.0997, 0.0, 0.1383, 0.0667, 0.0698, 0.0621, 0.1279, 0.0024, 0.0466, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 47.0, 34.0]), label=6.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 47.0, 43.0]), label=6.0, probability=DenseVector([0.1697, 0.1483, 0.0287, 0.0081, 0.1018, 0.0, 0.21, 0.0427, 0.0632, 0.0594, 0.1187, 0.0031, 0.045, 0.0011]))
Row(prediction=6.0, features=DenseVector([12.0, 47.0, 46.0]), label=9.0, probability=DenseVector([0.1456, 0.1515, 0.0412, 0.0117, 0.0998, 0.0002, 0.2081, 0.0516, 0.0756, 0.0602, 0.0904, 0.0068, 0.0569, 0.0004]))
Row(prediction=0.0, features=DenseVector([12.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.3319, 0.0693, 0.0002, 0.0, 0.1528, 0.0, 0.1821, 0.0706, 0.0429, 0.033, 0.0775, 0.0011, 0.0385, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 48.0, 36.0]), label=12.0, probability=DenseVector([0.3332, 0.0736, 0.0002, 0.0, 0.1531, 0.0, 0.182, 0.0683, 0.0404, 0.0325, 0.0776, 0.0011, 0.0378, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.177, 0.1178, 0.0217, 0.0044, 0.1072, 0.0, 0.28, 0.0329, 0.0564, 0.0475, 0.1069, 0.0033, 0.0447, 0.0002]))
Row(prediction=0.0, features=DenseVector([12.0, 49.0, 29.0]), label=0.0, probability=DenseVector([0.3422, 0.066, 0.0002, 0.0, 0.1331, 0.0, 0.2159, 0.0757, 0.049, 0.0224, 0.055, 0.0018, 0.0387, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 49.0, 34.0]), label=0.0, probability=DenseVector([0.3265, 0.0673, 0.0002, 0.0, 0.1492, 0.0, 0.2016, 0.0674, 0.0439, 0.0312, 0.0748, 0.0018, 0.036, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.3307, 0.0688, 0.0002, 0.0, 0.1515, 0.0, 0.1905, 0.068, 0.043, 0.0325, 0.0772, 0.0014, 0.0362, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 50.0, 25.0]), label=6.0, probability=DenseVector([0.299, 0.0571, 0.0002, 0.0, 0.1125, 0.0, 0.3216, 0.0598, 0.0449, 0.0235, 0.0517, 0.003, 0.0266, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 50.0, 30.0]), label=0.0, probability=DenseVector([0.3074, 0.0518, 0.0002, 0.0, 0.1163, 0.0, 0.3207, 0.06, 0.0406, 0.025, 0.0526, 0.0031, 0.0222, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 50.0, 30.0]), label=0.0, probability=DenseVector([0.3074, 0.0518, 0.0002, 0.0, 0.1163, 0.0, 0.3207, 0.06, 0.0406, 0.025, 0.0526, 0.0031, 0.0222, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 50.0, 40.0]), label=0.0, probability=DenseVector([0.2304, 0.073, 0.0024, 0.0, 0.1182, 0.0, 0.3302, 0.0283, 0.0406, 0.0325, 0.1061, 0.0025, 0.0358, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 50.0, 42.0]), label=6.0, probability=DenseVector([0.1732, 0.1144, 0.0219, 0.0044, 0.1033, 0.0, 0.3104, 0.0315, 0.0501, 0.0432, 0.0986, 0.0036, 0.0452, 0.0002]))
Row(prediction=6.0, features=DenseVector([12.0, 50.0, 43.0]), label=0.0, probability=DenseVector([0.1602, 0.1176, 0.0288, 0.008, 0.1028, 0.0, 0.3055, 0.0292, 0.0515, 0.0439, 0.1, 0.004, 0.0473, 0.0011]))
Row(prediction=6.0, features=DenseVector([12.0, 51.0, 39.0]), label=0.0, probability=DenseVector([0.3077, 0.0597, 0.0002, 0.0, 0.1135, 0.0, 0.3138, 0.058, 0.039, 0.0259, 0.0581, 0.0031, 0.0208, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 51.0, 46.0]), label=6.0, probability=DenseVector([0.1419, 0.1184, 0.0419, 0.0124, 0.1044, 0.0002, 0.2709, 0.0337, 0.0678, 0.0514, 0.0973, 0.0085, 0.0507, 0.0004]))
Row(prediction=6.0, features=DenseVector([12.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 52.0, 37.0]), label=0.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 53.0, 34.0]), label=0.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.3121, 0.05, 0.0002, 0.0, 0.1112, 0.0, 0.3321, 0.0576, 0.0384, 0.023, 0.0526, 0.0029, 0.0198, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 53.0, 41.0]), label=6.0, probability=DenseVector([0.1831, 0.1115, 0.0219, 0.0044, 0.106, 0.0, 0.2987, 0.031, 0.0493, 0.0424, 0.1046, 0.0036, 0.0433, 0.0002]))
Row(prediction=6.0, features=DenseVector([12.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 55.0, 22.0]), label=6.0, probability=DenseVector([0.2995, 0.0538, 0.0002, 0.0, 0.1051, 0.0, 0.3441, 0.0568, 0.0436, 0.0202, 0.0492, 0.0034, 0.0241, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 55.0, 35.0]), label=0.0, probability=DenseVector([0.3121, 0.05, 0.0002, 0.0, 0.1112, 0.0, 0.3321, 0.0576, 0.0384, 0.023, 0.0526, 0.0029, 0.0198, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 55.0, 37.0]), label=6.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 55.0, 46.0]), label=6.0, probability=DenseVector([0.1442, 0.117, 0.0288, 0.0115, 0.1084, 0.0002, 0.2758, 0.031, 0.0653, 0.0569, 0.1021, 0.0073, 0.0512, 0.0003]))
Row(prediction=6.0, features=DenseVector([12.0, 56.0, 38.0]), label=6.0, probability=DenseVector([0.3078, 0.0539, 0.0002, 0.0, 0.1107, 0.0, 0.3351, 0.056, 0.0366, 0.0243, 0.0536, 0.0029, 0.0189, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 57.0, 40.0]), label=6.0, probability=DenseVector([0.2372, 0.076, 0.0024, 0.0, 0.1183, 0.0, 0.3309, 0.0253, 0.0381, 0.0293, 0.104, 0.0031, 0.0353, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 58.0, 36.0]), label=6.0, probability=DenseVector([0.2967, 0.0515, 0.0002, 0.0, 0.0992, 0.0, 0.3801, 0.0499, 0.0328, 0.0203, 0.0496, 0.0031, 0.0166, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 62.0, 35.0]), label=0.0, probability=DenseVector([0.2788, 0.045, 0.0002, 0.0, 0.0863, 0.0, 0.4253, 0.0478, 0.0332, 0.0189, 0.0464, 0.0025, 0.0155, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 62.0, 37.0]), label=6.0, probability=DenseVector([0.2801, 0.0494, 0.0002, 0.0, 0.0866, 0.0, 0.4252, 0.0455, 0.0307, 0.0184, 0.0465, 0.0026, 0.0147, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 27.0, 33.0]), label=0.0, probability=DenseVector([0.1852, 0.3501, 0.0, 0.0, 0.1219, 0.0, 0.0101, 0.1818, 0.0833, 0.0046, 0.0088, 0.0012, 0.053, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 27.0, 40.0]), label=0.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 30.0]), label=0.0, probability=DenseVector([0.181, 0.3423, 0.0, 0.0, 0.1257, 0.0, 0.0098, 0.1879, 0.0852, 0.0046, 0.0084, 0.0009, 0.0544, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 27.0]), label=6.0, probability=DenseVector([0.1535, 0.3524, 0.0, 0.0, 0.0935, 0.0, 0.0113, 0.1897, 0.1238, 0.0051, 0.0051, 0.0004, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 34.0]), label=0.0, probability=DenseVector([0.1859, 0.3615, 0.0, 0.0, 0.1189, 0.0, 0.0105, 0.1811, 0.0769, 0.0046, 0.0087, 0.0012, 0.0507, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 34.0]), label=0.0, probability=DenseVector([0.1859, 0.3615, 0.0, 0.0, 0.1189, 0.0, 0.0105, 0.1811, 0.0769, 0.0046, 0.0087, 0.0012, 0.0507, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 40.0]), label=0.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 29.0]), label=0.0, probability=DenseVector([0.197, 0.2775, 0.0, 0.0001, 0.1163, 0.0, 0.0064, 0.1714, 0.1636, 0.0027, 0.0083, 0.0003, 0.0563, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 30.0, 32.0]), label=0.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 30.0, 33.0]), label=0.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 30.0, 33.0]), label=0.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 30.0, 35.0]), label=0.0, probability=DenseVector([0.3001, 0.2609, 0.0, 0.0002, 0.1724, 0.0, 0.0038, 0.1302, 0.0661, 0.0041, 0.0174, 0.0003, 0.0446, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 30.0, 35.0]), label=0.0, probability=DenseVector([0.3001, 0.2609, 0.0, 0.0002, 0.1724, 0.0, 0.0038, 0.1302, 0.0661, 0.0041, 0.0174, 0.0003, 0.0446, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 37.0]), label=0.0, probability=DenseVector([0.2533, 0.3887, 0.0, 0.0002, 0.1121, 0.0, 0.0065, 0.1135, 0.0468, 0.0039, 0.0188, 0.0002, 0.0559, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 38.0]), label=0.0, probability=DenseVector([0.2376, 0.4466, 0.0, 0.0001, 0.0992, 0.0, 0.008, 0.0887, 0.0338, 0.004, 0.0181, 0.0004, 0.0636, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 39.0]), label=0.0, probability=DenseVector([0.2263, 0.4762, 0.0, 0.0001, 0.0891, 0.0, 0.0078, 0.0845, 0.032, 0.004, 0.0181, 0.0004, 0.0617, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 41.0]), label=0.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 44.0]), label=6.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 30.0]), label=4.0, probability=DenseVector([0.2775, 0.2643, 0.0, 0.0002, 0.1805, 0.0, 0.004, 0.1379, 0.0732, 0.0041, 0.0139, 0.0003, 0.0442, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 31.0]), label=0.0, probability=DenseVector([0.2775, 0.2643, 0.0, 0.0002, 0.1805, 0.0, 0.004, 0.1379, 0.0732, 0.0041, 0.0139, 0.0003, 0.0442, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 31.0]), label=0.0, probability=DenseVector([0.2775, 0.2643, 0.0, 0.0002, 0.1805, 0.0, 0.004, 0.1379, 0.0732, 0.0041, 0.0139, 0.0003, 0.0442, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 35.0]), label=0.0, probability=DenseVector([0.3001, 0.2609, 0.0, 0.0002, 0.1724, 0.0, 0.0038, 0.1302, 0.0661, 0.0041, 0.0174, 0.0003, 0.0446, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 37.0]), label=0.0, probability=DenseVector([0.2533, 0.3887, 0.0, 0.0002, 0.1121, 0.0, 0.0065, 0.1135, 0.0468, 0.0039, 0.0188, 0.0002, 0.0559, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 37.0]), label=0.0, probability=DenseVector([0.2533, 0.3887, 0.0, 0.0002, 0.1121, 0.0, 0.0065, 0.1135, 0.0468, 0.0039, 0.0188, 0.0002, 0.0559, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 40.0]), label=0.0, probability=DenseVector([0.1265, 0.5538, 0.0001, 0.0033, 0.0375, 0.0, 0.0237, 0.0758, 0.0426, 0.0061, 0.0193, 0.0016, 0.1098, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 40.0]), label=0.0, probability=DenseVector([0.2, 0.4265, 0.0001, 0.0035, 0.0724, 0.0, 0.0262, 0.0851, 0.0568, 0.0126, 0.0275, 0.002, 0.0872, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 45.0]), label=6.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 29.0]), label=0.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 33.0, 41.0]), label=0.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 33.0, 48.0]), label=6.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 28.0]), label=0.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 34.0, 41.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 34.0, 42.0]), label=0.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 34.0, 50.0]), label=0.0, probability=DenseVector([0.0716, 0.4436, 0.0029, 0.0296, 0.0181, 0.0001, 0.0637, 0.1067, 0.0755, 0.0233, 0.0119, 0.0063, 0.1468, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=9.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 43.0]), label=0.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 43.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=6.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=9.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 41.0]), label=0.0, probability=DenseVector([0.1543, 0.4475, 0.0012, 0.009, 0.0414, 0.0002, 0.0375, 0.1022, 0.0765, 0.0216, 0.0327, 0.0039, 0.072, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=6.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=9.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 41.0]), label=0.0, probability=DenseVector([0.1653, 0.4349, 0.0012, 0.0085, 0.0448, 0.0002, 0.0359, 0.1035, 0.0782, 0.0224, 0.0354, 0.004, 0.0657, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 41.0]), label=0.0, probability=DenseVector([0.1653, 0.4349, 0.0012, 0.0085, 0.0448, 0.0002, 0.0359, 0.1035, 0.0782, 0.0224, 0.0354, 0.004, 0.0657, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 48.0]), label=0.0, probability=DenseVector([0.1018, 0.413, 0.0034, 0.0259, 0.0301, 0.0001, 0.0604, 0.1151, 0.0886, 0.0365, 0.0189, 0.0067, 0.0995, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 23.0]), label=0.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 43.0]), label=0.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 44.0]), label=0.0, probability=DenseVector([0.1563, 0.4317, 0.0013, 0.0086, 0.0428, 0.0002, 0.0377, 0.1077, 0.0847, 0.0252, 0.0331, 0.004, 0.0667, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 47.0]), label=6.0, probability=DenseVector([0.1123, 0.4122, 0.0014, 0.01, 0.0323, 0.0002, 0.0628, 0.1148, 0.0898, 0.0378, 0.0229, 0.0051, 0.0984, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 27.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 28.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 43.0]), label=6.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 45.0]), label=0.0, probability=DenseVector([0.1443, 0.4371, 0.0013, 0.0086, 0.0417, 0.0002, 0.0423, 0.1063, 0.0842, 0.0267, 0.0308, 0.0042, 0.0722, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 28.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=6.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=6.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 39.0]), label=6.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 41.0, 45.0]), label=0.0, probability=DenseVector([0.1452, 0.4267, 0.0022, 0.0059, 0.0427, 0.0002, 0.0465, 0.106, 0.0868, 0.0324, 0.032, 0.0037, 0.0697, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 29.0]), label=0.0, probability=DenseVector([0.3907, 0.1087, 0.0, 0.0, 0.1527, 0.0, 0.0207, 0.1257, 0.1049, 0.022, 0.04, 0.0001, 0.0345, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 32.0]), label=9.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=6.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 36.0]), label=6.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 36.0]), label=8.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 36.0]), label=8.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.2593, 0.2816, 0.0004, 0.0011, 0.1032, 0.0, 0.0292, 0.1111, 0.0796, 0.0257, 0.0616, 0.0023, 0.0448, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 42.0, 42.0]), label=0.0, probability=DenseVector([0.1792, 0.3949, 0.0018, 0.002, 0.0562, 0.0, 0.0453, 0.1009, 0.0753, 0.0311, 0.054, 0.0028, 0.0563, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 42.0, 43.0]), label=0.0, probability=DenseVector([0.1792, 0.3949, 0.0018, 0.002, 0.0562, 0.0, 0.0453, 0.1009, 0.0753, 0.0311, 0.054, 0.0028, 0.0563, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 42.0, 45.0]), label=6.0, probability=DenseVector([0.1425, 0.3861, 0.0159, 0.0089, 0.0483, 0.0002, 0.053, 0.1047, 0.0901, 0.0383, 0.039, 0.0056, 0.0669, 0.0003]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 29.0]), label=0.0, probability=DenseVector([0.3826, 0.1076, 0.0, 0.0, 0.1519, 0.0, 0.0232, 0.1266, 0.1079, 0.0225, 0.042, 0.0001, 0.0357, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 32.0]), label=9.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 33.0]), label=9.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 33.0]), label=9.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 36.0]), label=9.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 38.0]), label=9.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 43.0, 40.0]), label=0.0, probability=DenseVector([0.2525, 0.2557, 0.0012, 0.0011, 0.1068, 0.0, 0.0388, 0.1166, 0.0801, 0.0347, 0.0683, 0.0025, 0.0416, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 43.0, 41.0]), label=0.0, probability=DenseVector([0.174, 0.3352, 0.0053, 0.0038, 0.0644, 0.0, 0.0653, 0.1084, 0.0784, 0.0451, 0.0659, 0.0033, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 43.0, 59.0]), label=6.0, probability=DenseVector([0.1187, 0.2912, 0.0117, 0.0196, 0.0532, 0.0025, 0.0803, 0.1039, 0.1025, 0.0778, 0.0382, 0.0174, 0.083, 0.0001]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 31.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 37.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 44.0, 41.0]), label=9.0, probability=DenseVector([0.1737, 0.2863, 0.0058, 0.0031, 0.0773, 0.0, 0.0862, 0.0956, 0.0757, 0.0656, 0.0787, 0.0032, 0.0488, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 44.0, 41.0]), label=0.0, probability=DenseVector([0.1737, 0.2863, 0.0058, 0.0031, 0.0773, 0.0, 0.0862, 0.0956, 0.0757, 0.0656, 0.0787, 0.0032, 0.0488, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 44.0, 44.0]), label=0.0, probability=DenseVector([0.1668, 0.2626, 0.0195, 0.0101, 0.0711, 0.0002, 0.0895, 0.0946, 0.0869, 0.0705, 0.0673, 0.0062, 0.0544, 0.0003]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 24.0]), label=6.0, probability=DenseVector([0.3826, 0.1076, 0.0, 0.0, 0.1519, 0.0, 0.0232, 0.1266, 0.1079, 0.0225, 0.042, 0.0001, 0.0357, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 30.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 30.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 39.0]), label=0.0, probability=DenseVector([0.3817, 0.1328, 0.0006, 0.0003, 0.1562, 0.0, 0.0248, 0.1121, 0.0772, 0.0313, 0.0538, 0.0008, 0.0284, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 45.0, 41.0]), label=0.0, probability=DenseVector([0.1748, 0.2555, 0.0068, 0.0031, 0.0853, 0.0, 0.1028, 0.09, 0.0755, 0.0692, 0.0844, 0.0033, 0.0493, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 45.0, 41.0]), label=0.0, probability=DenseVector([0.1748, 0.2555, 0.0068, 0.0031, 0.0853, 0.0, 0.1028, 0.09, 0.0755, 0.0692, 0.0844, 0.0033, 0.0493, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 45.0, 47.0]), label=0.0, probability=DenseVector([0.1724, 0.2282, 0.0195, 0.0103, 0.0809, 0.0002, 0.1115, 0.0798, 0.0855, 0.0812, 0.0677, 0.0065, 0.0559, 0.0003]))
Row(prediction=0.0, features=DenseVector([13.0, 46.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 46.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 46.0, 38.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 46.0, 38.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 47.0, 28.0]), label=6.0, probability=DenseVector([0.3826, 0.1076, 0.0, 0.0, 0.1519, 0.0, 0.0232, 0.1266, 0.1079, 0.0225, 0.042, 0.0001, 0.0357, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 47.0, 42.0]), label=0.0, probability=DenseVector([0.1688, 0.1699, 0.0229, 0.0051, 0.0993, 0.0, 0.2088, 0.0511, 0.0671, 0.0658, 0.0896, 0.004, 0.0475, 0.0002]))
Row(prediction=6.0, features=DenseVector([13.0, 47.0, 44.0]), label=6.0, probability=DenseVector([0.1594, 0.1702, 0.0424, 0.0123, 0.0907, 0.0002, 0.1785, 0.057, 0.0763, 0.069, 0.0856, 0.0076, 0.0503, 0.0004]))
Row(prediction=0.0, features=DenseVector([13.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.3319, 0.0693, 0.0002, 0.0, 0.1528, 0.0, 0.1821, 0.0706, 0.0429, 0.033, 0.0775, 0.0011, 0.0385, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.3319, 0.0693, 0.0002, 0.0, 0.1528, 0.0, 0.1821, 0.0706, 0.0429, 0.033, 0.0775, 0.0011, 0.0385, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 48.0, 38.0]), label=0.0, probability=DenseVector([0.3276, 0.0732, 0.0002, 0.0, 0.1523, 0.0, 0.185, 0.069, 0.0411, 0.0343, 0.0786, 0.0011, 0.0376, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 48.0, 45.0]), label=6.0, probability=DenseVector([0.1547, 0.1317, 0.0428, 0.0122, 0.1044, 0.0002, 0.2418, 0.0386, 0.0709, 0.0579, 0.0872, 0.0082, 0.049, 0.0004]))
Row(prediction=0.0, features=DenseVector([13.0, 49.0, 31.0]), label=0.0, probability=DenseVector([0.3506, 0.0607, 0.0002, 0.0, 0.1369, 0.0, 0.215, 0.0759, 0.0447, 0.0239, 0.056, 0.0018, 0.0342, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 49.0, 31.0]), label=0.0, probability=DenseVector([0.3506, 0.0607, 0.0002, 0.0, 0.1369, 0.0, 0.215, 0.0759, 0.0447, 0.0239, 0.056, 0.0018, 0.0342, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.3307, 0.0688, 0.0002, 0.0, 0.1515, 0.0, 0.1905, 0.068, 0.043, 0.0325, 0.0772, 0.0014, 0.0362, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 50.0, 35.0]), label=0.0, probability=DenseVector([0.3116, 0.0533, 0.0002, 0.0, 0.1186, 0.0, 0.3096, 0.0606, 0.0397, 0.0263, 0.0551, 0.0026, 0.0223, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.2356, 0.0757, 0.0028, 0.0002, 0.1219, 0.0, 0.3241, 0.0297, 0.0423, 0.033, 0.0947, 0.003, 0.0369, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 50.0, 42.0]), label=0.0, probability=DenseVector([0.1883, 0.1142, 0.0223, 0.0046, 0.1098, 0.0, 0.2927, 0.0324, 0.051, 0.0429, 0.0933, 0.004, 0.0443, 0.0002]))
Row(prediction=6.0, features=DenseVector([13.0, 50.0, 44.0]), label=6.0, probability=DenseVector([0.1628, 0.1184, 0.0425, 0.012, 0.108, 0.0002, 0.258, 0.035, 0.0654, 0.0495, 0.0912, 0.0084, 0.0483, 0.0004]))
Row(prediction=6.0, features=DenseVector([13.0, 51.0, 23.0]), label=0.0, probability=DenseVector([0.3005, 0.0533, 0.0002, 0.0, 0.1045, 0.0, 0.3442, 0.0572, 0.0417, 0.0202, 0.0492, 0.0034, 0.0256, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 51.0, 31.0]), label=0.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.1883, 0.1142, 0.0223, 0.0046, 0.1098, 0.0, 0.2927, 0.0324, 0.051, 0.0429, 0.0933, 0.004, 0.0443, 0.0002]))
Row(prediction=6.0, features=DenseVector([13.0, 51.0, 45.0]), label=9.0, probability=DenseVector([0.157, 0.1182, 0.0423, 0.0126, 0.1109, 0.0002, 0.2532, 0.0347, 0.0687, 0.051, 0.092, 0.009, 0.0499, 0.0004]))
Row(prediction=6.0, features=DenseVector([13.0, 51.0, 47.0]), label=0.0, probability=DenseVector([0.1608, 0.1041, 0.0413, 0.0125, 0.1187, 0.0002, 0.2583, 0.0305, 0.0703, 0.0554, 0.09, 0.0095, 0.0478, 0.0004]))
Row(prediction=6.0, features=DenseVector([13.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.3005, 0.0533, 0.0002, 0.0, 0.1045, 0.0, 0.3442, 0.0572, 0.0417, 0.0202, 0.0492, 0.0034, 0.0256, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 52.0, 30.0]), label=0.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 53.0, 30.0]), label=0.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 54.0, 37.0]), label=0.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 54.0, 40.0]), label=6.0, probability=DenseVector([0.2384, 0.0736, 0.0028, 0.0002, 0.1177, 0.0, 0.3337, 0.029, 0.0418, 0.0315, 0.0927, 0.003, 0.0356, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 55.0, 42.0]), label=6.0, probability=DenseVector([0.1883, 0.1142, 0.0223, 0.0046, 0.1098, 0.0, 0.2927, 0.0324, 0.051, 0.0429, 0.0933, 0.004, 0.0443, 0.0002]))
Row(prediction=6.0, features=DenseVector([13.0, 56.0, 27.0]), label=6.0, probability=DenseVector([0.3005, 0.0533, 0.0002, 0.0, 0.1045, 0.0, 0.3442, 0.0572, 0.0417, 0.0202, 0.0492, 0.0034, 0.0256, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 56.0, 36.0]), label=0.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 56.0, 38.0]), label=0.0, probability=DenseVector([0.3078, 0.0539, 0.0002, 0.0, 0.1107, 0.0, 0.3351, 0.056, 0.0366, 0.0243, 0.0536, 0.0029, 0.0189, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 57.0, 32.0]), label=0.0, probability=DenseVector([0.3052, 0.0486, 0.0002, 0.0, 0.1062, 0.0, 0.3518, 0.0554, 0.0385, 0.0219, 0.0489, 0.004, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 57.0, 36.0]), label=0.0, probability=DenseVector([0.3108, 0.0545, 0.0002, 0.0, 0.1088, 0.0, 0.3405, 0.0537, 0.0351, 0.0226, 0.0514, 0.0035, 0.0187, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 58.0, 39.0]), label=0.0, probability=DenseVector([0.291, 0.0568, 0.0002, 0.0, 0.1013, 0.0, 0.3618, 0.0526, 0.0359, 0.0237, 0.055, 0.0033, 0.0183, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 60.0, 26.0]), label=0.0, probability=DenseVector([0.2539, 0.0471, 0.0002, 0.0, 0.0775, 0.0, 0.4567, 0.0474, 0.0362, 0.0155, 0.0418, 0.0024, 0.0212, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 62.0, 45.0]), label=6.0, probability=DenseVector([0.1593, 0.1167, 0.0292, 0.0117, 0.1149, 0.0002, 0.2581, 0.032, 0.0662, 0.0566, 0.0967, 0.0077, 0.0503, 0.0003]))
Row(prediction=1.0, features=DenseVector([14.0, 27.0, 42.0]), label=0.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 32.0]), label=0.0, probability=DenseVector([0.2332, 0.3324, 0.0, 0.0, 0.1479, 0.0, 0.016, 0.1372, 0.0671, 0.003, 0.0213, 0.0007, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 32.0]), label=0.0, probability=DenseVector([0.2332, 0.3324, 0.0, 0.0, 0.1479, 0.0, 0.016, 0.1372, 0.0671, 0.003, 0.0213, 0.0007, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 46.0]), label=6.0, probability=DenseVector([0.0877, 0.4743, 0.0009, 0.0121, 0.023, 0.0009, 0.0579, 0.0894, 0.0764, 0.0165, 0.0168, 0.0029, 0.1411, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 34.0]), label=0.0, probability=DenseVector([0.2534, 0.3349, 0.0, 0.0, 0.1461, 0.0, 0.0178, 0.1188, 0.0603, 0.003, 0.0249, 0.001, 0.0399, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 34.0]), label=0.0, probability=DenseVector([0.2534, 0.3349, 0.0, 0.0, 0.1461, 0.0, 0.0178, 0.1188, 0.0603, 0.003, 0.0249, 0.001, 0.0399, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 48.0]), label=6.0, probability=DenseVector([0.0556, 0.4234, 0.0029, 0.0541, 0.0128, 0.0006, 0.0698, 0.1019, 0.0766, 0.0187, 0.0091, 0.0064, 0.168, 0.0001]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 23.0]), label=0.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 26.0]), label=0.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 19.0]), label=0.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 30.0]), label=4.0, probability=DenseVector([0.4431, 0.1221, 0.0, 0.0, 0.2616, 0.0, 0.0043, 0.064, 0.0431, 0.0018, 0.0422, 0.0001, 0.0178, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 31.0]), label=0.0, probability=DenseVector([0.4431, 0.1221, 0.0, 0.0, 0.2616, 0.0, 0.0043, 0.064, 0.0431, 0.0018, 0.0422, 0.0001, 0.0178, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 35.0]), label=0.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 36.0]), label=0.0, probability=DenseVector([0.4723, 0.124, 0.0, 0.0, 0.2437, 0.0, 0.0041, 0.055, 0.0341, 0.0018, 0.0483, 0.0001, 0.0167, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 36.0]), label=0.0, probability=DenseVector([0.4723, 0.124, 0.0, 0.0, 0.2437, 0.0, 0.0041, 0.055, 0.0341, 0.0018, 0.0483, 0.0001, 0.0167, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 38.0]), label=0.0, probability=DenseVector([0.3828, 0.2753, 0.0, 0.0, 0.1729, 0.0, 0.0082, 0.045, 0.0237, 0.0023, 0.0432, 0.0001, 0.0466, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 42.0]), label=0.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 32.0, 42.0]), label=0.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 33.0, 43.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 30.0]), label=6.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 34.0, 41.0]), label=0.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 26.0]), label=6.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 28.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 39.0]), label=11.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 40.0]), label=0.0, probability=DenseVector([0.2334, 0.3711, 0.0002, 0.0029, 0.0894, 0.0, 0.0242, 0.0915, 0.0647, 0.0146, 0.0363, 0.0025, 0.0691, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 40.0]), label=0.0, probability=DenseVector([0.2334, 0.3711, 0.0002, 0.0029, 0.0894, 0.0, 0.0242, 0.0915, 0.0647, 0.0146, 0.0363, 0.0025, 0.0691, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 41.0]), label=0.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 42.0]), label=0.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 51.0]), label=6.0, probability=DenseVector([0.0868, 0.4353, 0.003, 0.0289, 0.0242, 0.0001, 0.0575, 0.1103, 0.078, 0.0274, 0.0153, 0.0065, 0.1268, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 28.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2553, 0.3399, 0.0002, 0.0016, 0.1023, 0.0, 0.0207, 0.1002, 0.0706, 0.0155, 0.0437, 0.0024, 0.0475, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 27.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=6.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.2664, 0.3273, 0.0002, 0.0012, 0.1057, 0.0, 0.0192, 0.1014, 0.0723, 0.0164, 0.0464, 0.0024, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.2664, 0.3273, 0.0002, 0.0012, 0.1057, 0.0, 0.0192, 0.1014, 0.0723, 0.0164, 0.0464, 0.0024, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 41.0]), label=0.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 44.0]), label=6.0, probability=DenseVector([0.1506, 0.4441, 0.0013, 0.0087, 0.042, 0.0002, 0.0372, 0.1071, 0.0825, 0.0241, 0.0301, 0.0042, 0.068, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 29.0]), label=6.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 42.0]), label=0.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 47.0]), label=0.0, probability=DenseVector([0.1123, 0.4122, 0.0014, 0.01, 0.0323, 0.0002, 0.0628, 0.1148, 0.0898, 0.0378, 0.0229, 0.0051, 0.0984, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=6.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2694, 0.3026, 0.0002, 0.001, 0.1018, 0.0, 0.0203, 0.11, 0.079, 0.0184, 0.054, 0.002, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 42.0]), label=0.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 43.0]), label=0.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 44.0]), label=6.0, probability=DenseVector([0.1563, 0.4317, 0.0013, 0.0086, 0.0428, 0.0002, 0.0377, 0.1077, 0.0847, 0.0252, 0.0331, 0.004, 0.0667, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 28.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=9.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 26.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 26.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 27.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 28.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 29.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 29.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=9.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 39.0]), label=6.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 42.0]), label=0.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 45.0]), label=6.0, probability=DenseVector([0.1452, 0.4267, 0.0022, 0.0059, 0.0427, 0.0002, 0.0465, 0.106, 0.0868, 0.0324, 0.032, 0.0037, 0.0697, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 47.0]), label=6.0, probability=DenseVector([0.1331, 0.3704, 0.003, 0.0071, 0.0462, 0.0002, 0.0781, 0.1053, 0.0917, 0.0522, 0.0277, 0.0051, 0.08, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 49.0]), label=6.0, probability=DenseVector([0.12, 0.3598, 0.0049, 0.0239, 0.0418, 0.0001, 0.0749, 0.108, 0.0964, 0.0548, 0.0263, 0.0087, 0.0802, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 27.0]), label=0.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 28.0]), label=0.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 29.0]), label=0.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 29.0]), label=0.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=6.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=6.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 36.0]), label=6.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 36.0]), label=6.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 36.0]), label=6.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 36.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 39.0]), label=6.0, probability=DenseVector([0.423, 0.0955, 0.0003, 0.0002, 0.1914, 0.0, 0.0262, 0.0823, 0.0626, 0.0202, 0.0736, 0.0006, 0.0241, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.423, 0.0955, 0.0003, 0.0002, 0.1914, 0.0, 0.0262, 0.0823, 0.0626, 0.0202, 0.0736, 0.0006, 0.0241, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.423, 0.0955, 0.0003, 0.0002, 0.1914, 0.0, 0.0262, 0.0823, 0.0626, 0.0202, 0.0736, 0.0006, 0.0241, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 42.0, 41.0]), label=0.0, probability=DenseVector([0.1669, 0.4111, 0.0018, 0.002, 0.0537, 0.0, 0.0435, 0.1041, 0.0771, 0.031, 0.0488, 0.0028, 0.0571, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 42.0, 41.0]), label=0.0, probability=DenseVector([0.1669, 0.4111, 0.0018, 0.002, 0.0537, 0.0, 0.0435, 0.1041, 0.0771, 0.031, 0.0488, 0.0028, 0.0571, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 23.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 30.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 34.0]), label=6.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 35.0]), label=6.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 40.0]), label=6.0, probability=DenseVector([0.2407, 0.2605, 0.0012, 0.0011, 0.1049, 0.0, 0.0401, 0.1195, 0.0828, 0.0332, 0.0733, 0.0025, 0.0402, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 41.0]), label=6.0, probability=DenseVector([0.1617, 0.3513, 0.0053, 0.0038, 0.0619, 0.0, 0.0635, 0.1116, 0.0803, 0.0449, 0.0607, 0.0032, 0.0519, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 43.0]), label=0.0, probability=DenseVector([0.1617, 0.3513, 0.0053, 0.0038, 0.0619, 0.0, 0.0635, 0.1116, 0.0803, 0.0449, 0.0607, 0.0032, 0.0519, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 45.0]), label=0.0, probability=DenseVector([0.1403, 0.3261, 0.0191, 0.011, 0.0543, 0.0002, 0.0744, 0.1096, 0.0935, 0.0531, 0.0469, 0.0067, 0.0645, 0.0003]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 28.0]), label=6.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 35.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 36.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 36.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.3725, 0.1104, 0.0006, 0.0003, 0.1773, 0.0, 0.0435, 0.0914, 0.0736, 0.0251, 0.0744, 0.0007, 0.0301, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 39.0]), label=1.0, probability=DenseVector([0.3725, 0.1104, 0.0006, 0.0003, 0.1773, 0.0, 0.0435, 0.0914, 0.0736, 0.0251, 0.0744, 0.0007, 0.0301, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 40.0]), label=9.0, probability=DenseVector([0.244, 0.2176, 0.0018, 0.0006, 0.1153, 0.0, 0.0633, 0.0994, 0.0765, 0.055, 0.0852, 0.0026, 0.0386, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 44.0, 41.0]), label=6.0, probability=DenseVector([0.1737, 0.2863, 0.0058, 0.0031, 0.0773, 0.0, 0.0862, 0.0956, 0.0757, 0.0656, 0.0787, 0.0032, 0.0488, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 44.0, 45.0]), label=0.0, probability=DenseVector([0.1668, 0.2626, 0.0195, 0.0101, 0.0711, 0.0002, 0.0895, 0.0946, 0.0869, 0.0705, 0.0673, 0.0062, 0.0544, 0.0003]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 27.0]), label=0.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 29.0]), label=0.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 38.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 38.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 39.0]), label=6.0, probability=DenseVector([0.3725, 0.1104, 0.0006, 0.0003, 0.1773, 0.0, 0.0435, 0.0914, 0.0736, 0.0251, 0.0744, 0.0007, 0.0301, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 46.0, 30.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 46.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 46.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 46.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 46.0, 40.0]), label=6.0, probability=DenseVector([0.2463, 0.203, 0.0033, 0.0006, 0.1138, 0.0, 0.085, 0.0841, 0.0774, 0.0574, 0.0844, 0.0024, 0.0422, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 47.0, 35.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 47.0, 38.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.1688, 0.1699, 0.0229, 0.0051, 0.0993, 0.0, 0.2088, 0.0511, 0.0671, 0.0658, 0.0896, 0.004, 0.0475, 0.0002]))
Row(prediction=6.0, features=DenseVector([14.0, 47.0, 44.0]), label=6.0, probability=DenseVector([0.1594, 0.1702, 0.0424, 0.0123, 0.0907, 0.0002, 0.1785, 0.057, 0.0763, 0.069, 0.0856, 0.0076, 0.0503, 0.0004]))
Row(prediction=0.0, features=DenseVector([14.0, 48.0, 31.0]), label=0.0, probability=DenseVector([0.3413, 0.0524, 0.0002, 0.0, 0.1371, 0.0, 0.2536, 0.0617, 0.0358, 0.0226, 0.0568, 0.0015, 0.037, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 48.0, 31.0]), label=0.0, probability=DenseVector([0.3413, 0.0524, 0.0002, 0.0, 0.1371, 0.0, 0.2536, 0.0617, 0.0358, 0.0226, 0.0568, 0.0015, 0.037, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 48.0, 31.0]), label=0.0, probability=DenseVector([0.3413, 0.0524, 0.0002, 0.0, 0.1371, 0.0, 0.2536, 0.0617, 0.0358, 0.0226, 0.0568, 0.0015, 0.037, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.3413, 0.0524, 0.0002, 0.0, 0.1371, 0.0, 0.2536, 0.0617, 0.0358, 0.0226, 0.0568, 0.0015, 0.037, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 48.0, 36.0]), label=0.0, probability=DenseVector([0.3215, 0.0606, 0.0002, 0.0, 0.1517, 0.0, 0.229, 0.0539, 0.0341, 0.0311, 0.078, 0.001, 0.0389, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 48.0, 38.0]), label=0.0, probability=DenseVector([0.3159, 0.0601, 0.0002, 0.0, 0.1509, 0.0, 0.2321, 0.0545, 0.0348, 0.0328, 0.0789, 0.001, 0.0387, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 48.0, 38.0]), label=0.0, probability=DenseVector([0.3159, 0.0601, 0.0002, 0.0, 0.1509, 0.0, 0.2321, 0.0545, 0.0348, 0.0328, 0.0789, 0.001, 0.0387, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 48.0, 39.0]), label=0.0, probability=DenseVector([0.291, 0.0672, 0.0002, 0.0, 0.1498, 0.0, 0.2355, 0.0536, 0.0359, 0.041, 0.0853, 0.0013, 0.0392, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 48.0, 40.0]), label=0.0, probability=DenseVector([0.2309, 0.1169, 0.003, 0.0002, 0.1325, 0.0, 0.2395, 0.0385, 0.0509, 0.0442, 0.0948, 0.0022, 0.0464, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.1547, 0.1317, 0.0428, 0.0122, 0.1044, 0.0002, 0.2418, 0.0386, 0.0709, 0.0579, 0.0872, 0.0082, 0.049, 0.0004]))
Row(prediction=0.0, features=DenseVector([14.0, 49.0, 22.0]), label=6.0, probability=DenseVector([0.3139, 0.0481, 0.0002, 0.0, 0.12, 0.0, 0.301, 0.0646, 0.0452, 0.0192, 0.0511, 0.0018, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 49.0, 32.0]), label=0.0, probability=DenseVector([0.3346, 0.0521, 0.0002, 0.0, 0.1331, 0.0, 0.272, 0.0596, 0.0354, 0.0215, 0.0559, 0.0018, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 49.0, 33.0]), label=0.0, probability=DenseVector([0.3165, 0.0569, 0.0002, 0.0, 0.1422, 0.0, 0.2609, 0.0534, 0.0351, 0.0272, 0.0695, 0.0018, 0.0364, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 49.0, 38.0]), label=0.0, probability=DenseVector([0.3092, 0.0598, 0.0002, 0.0, 0.1469, 0.0, 0.2505, 0.0524, 0.0344, 0.0318, 0.078, 0.0013, 0.0355, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 50.0, 25.0]), label=0.0, probability=DenseVector([0.2707, 0.0393, 0.0002, 0.0, 0.0994, 0.0, 0.4068, 0.0487, 0.0411, 0.0203, 0.0478, 0.003, 0.0227, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 50.0, 28.0]), label=6.0, probability=DenseVector([0.2707, 0.0393, 0.0002, 0.0, 0.0994, 0.0, 0.4068, 0.0487, 0.0411, 0.0203, 0.0478, 0.003, 0.0227, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 50.0, 30.0]), label=0.0, probability=DenseVector([0.2914, 0.0432, 0.0002, 0.0, 0.1125, 0.0, 0.3778, 0.0437, 0.0314, 0.0226, 0.0526, 0.003, 0.0216, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 50.0, 37.0]), label=0.0, probability=DenseVector([0.2956, 0.0447, 0.0002, 0.0, 0.1148, 0.0, 0.3666, 0.0443, 0.0305, 0.0239, 0.055, 0.0025, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 50.0, 40.0]), label=0.0, probability=DenseVector([0.2356, 0.0757, 0.0028, 0.0002, 0.1219, 0.0, 0.3241, 0.0297, 0.0423, 0.033, 0.0947, 0.003, 0.0369, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.1883, 0.1142, 0.0223, 0.0046, 0.1098, 0.0, 0.2927, 0.0324, 0.051, 0.0429, 0.0933, 0.004, 0.0443, 0.0002]))
Row(prediction=6.0, features=DenseVector([14.0, 50.0, 47.0]), label=6.0, probability=DenseVector([0.1608, 0.1041, 0.0413, 0.0125, 0.1187, 0.0002, 0.2583, 0.0305, 0.0703, 0.0554, 0.09, 0.0095, 0.0478, 0.0004]))
Row(prediction=6.0, features=DenseVector([14.0, 51.0, 33.0]), label=0.0, probability=DenseVector([0.2919, 0.0399, 0.0002, 0.0, 0.1051, 0.0, 0.4003, 0.0407, 0.03, 0.0193, 0.0501, 0.0033, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.2905, 0.0409, 0.0002, 0.0, 0.1066, 0.0, 0.3922, 0.042, 0.0298, 0.0223, 0.0534, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 51.0, 45.0]), label=6.0, probability=DenseVector([0.157, 0.1182, 0.0423, 0.0126, 0.1109, 0.0002, 0.2532, 0.0347, 0.0687, 0.051, 0.092, 0.009, 0.0499, 0.0004]))
Row(prediction=6.0, features=DenseVector([14.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.2919, 0.0399, 0.0002, 0.0, 0.1051, 0.0, 0.4003, 0.0407, 0.03, 0.0193, 0.0501, 0.0033, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 52.0, 37.0]), label=0.0, probability=DenseVector([0.2961, 0.0414, 0.0002, 0.0, 0.1074, 0.0, 0.3891, 0.0413, 0.0291, 0.0206, 0.0525, 0.0029, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 52.0, 40.0]), label=0.0, probability=DenseVector([0.2384, 0.0736, 0.0028, 0.0002, 0.1177, 0.0, 0.3337, 0.029, 0.0418, 0.0315, 0.0927, 0.003, 0.0356, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 53.0, 40.0]), label=6.0, probability=DenseVector([0.2384, 0.0736, 0.0028, 0.0002, 0.1177, 0.0, 0.3337, 0.029, 0.0418, 0.0315, 0.0927, 0.003, 0.0356, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.2961, 0.0414, 0.0002, 0.0, 0.1074, 0.0, 0.3891, 0.0413, 0.0291, 0.0206, 0.0525, 0.0029, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 54.0, 39.0]), label=0.0, probability=DenseVector([0.2904, 0.0467, 0.0002, 0.0, 0.1094, 0.0, 0.3709, 0.044, 0.0323, 0.024, 0.0579, 0.0031, 0.021, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 55.0, 34.0]), label=0.0, probability=DenseVector([0.2919, 0.0399, 0.0002, 0.0, 0.1051, 0.0, 0.4003, 0.0407, 0.03, 0.0193, 0.0501, 0.0033, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 55.0, 34.0]), label=0.0, probability=DenseVector([0.2919, 0.0399, 0.0002, 0.0, 0.1051, 0.0, 0.4003, 0.0407, 0.03, 0.0193, 0.0501, 0.0033, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 56.0, 35.0]), label=6.0, probability=DenseVector([0.2961, 0.0414, 0.0002, 0.0, 0.1074, 0.0, 0.3891, 0.0413, 0.0291, 0.0206, 0.0525, 0.0029, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 58.0, 35.0]), label=6.0, probability=DenseVector([0.2794, 0.0385, 0.0002, 0.0, 0.0951, 0.0, 0.4372, 0.0359, 0.026, 0.0183, 0.0494, 0.003, 0.0168, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 59.0, 38.0]), label=6.0, probability=DenseVector([0.2572, 0.0359, 0.0002, 0.0, 0.0817, 0.0, 0.4854, 0.0321, 0.0247, 0.0182, 0.0473, 0.0025, 0.0147, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 59.0, 40.0]), label=0.0, probability=DenseVector([0.2214, 0.0712, 0.0028, 0.0002, 0.102, 0.0, 0.3447, 0.0229, 0.039, 0.0298, 0.1296, 0.003, 0.0334, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 61.0, 33.0]), label=6.0, probability=DenseVector([0.2586, 0.0349, 0.0002, 0.0, 0.0802, 0.0, 0.4935, 0.0309, 0.0249, 0.0152, 0.0439, 0.003, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 62.0, 26.0]), label=6.0, probability=DenseVector([0.2245, 0.0297, 0.0002, 0.0, 0.065, 0.0, 0.5419, 0.0359, 0.0343, 0.0123, 0.038, 0.0024, 0.0158, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 62.0, 36.0]), label=6.0, probability=DenseVector([0.2628, 0.0364, 0.0002, 0.0, 0.0825, 0.0, 0.4823, 0.0315, 0.024, 0.0165, 0.0463, 0.0025, 0.0149, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 24.0, 45.0]), label=0.0, probability=DenseVector([0.0914, 0.5487, 0.0009, 0.0101, 0.0237, 0.0009, 0.0396, 0.0751, 0.0517, 0.0146, 0.0171, 0.0023, 0.1237, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 28.0, 33.0]), label=0.0, probability=DenseVector([0.2374, 0.3402, 0.0, 0.0, 0.1441, 0.0, 0.0164, 0.1311, 0.0652, 0.003, 0.0217, 0.001, 0.0399, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 28.0, 41.0]), label=0.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 28.0, 48.0]), label=6.0, probability=DenseVector([0.0556, 0.4234, 0.0029, 0.0541, 0.0128, 0.0006, 0.0698, 0.1019, 0.0766, 0.0187, 0.0091, 0.0064, 0.168, 0.0001]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 35.0]), label=0.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 35.0]), label=0.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 35.0]), label=0.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 35.0]), label=0.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 31.0, 36.0]), label=0.0, probability=DenseVector([0.4723, 0.124, 0.0, 0.0, 0.2437, 0.0, 0.0041, 0.055, 0.0341, 0.0018, 0.0483, 0.0001, 0.0167, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 31.0, 46.0]), label=6.0, probability=DenseVector([0.0885, 0.4607, 0.0009, 0.0118, 0.023, 0.0009, 0.068, 0.0916, 0.0767, 0.0162, 0.0161, 0.005, 0.1406, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 32.0, 40.0]), label=0.0, probability=DenseVector([0.2135, 0.4138, 0.0001, 0.0035, 0.0791, 0.0, 0.0261, 0.0788, 0.0541, 0.0111, 0.0319, 0.002, 0.0861, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 32.0, 50.0]), label=0.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 28.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 33.0, 40.0]), label=0.0, probability=DenseVector([0.2207, 0.3892, 0.0001, 0.0035, 0.084, 0.0, 0.0261, 0.0841, 0.0584, 0.0122, 0.0344, 0.0021, 0.0853, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 28.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 40.0]), label=1.0, probability=DenseVector([0.2207, 0.3892, 0.0001, 0.0035, 0.084, 0.0, 0.0261, 0.0841, 0.0584, 0.0122, 0.0344, 0.0021, 0.0853, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 41.0]), label=0.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 45.0]), label=9.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 48.0]), label=0.0, probability=DenseVector([0.0716, 0.4436, 0.0029, 0.0296, 0.0181, 0.0001, 0.0637, 0.1067, 0.0755, 0.0233, 0.0119, 0.0063, 0.1468, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 20.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 40.0]), label=0.0, probability=DenseVector([0.2309, 0.3694, 0.0003, 0.003, 0.0874, 0.0, 0.025, 0.0936, 0.0674, 0.0158, 0.0365, 0.0025, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 40.0]), label=0.0, probability=DenseVector([0.2309, 0.3694, 0.0003, 0.003, 0.0874, 0.0, 0.025, 0.0936, 0.0674, 0.0158, 0.0365, 0.0025, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 41.0]), label=0.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 27.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 28.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 40.0]), label=0.0, probability=DenseVector([0.2528, 0.3382, 0.0003, 0.0017, 0.1003, 0.0, 0.0215, 0.1022, 0.0733, 0.0168, 0.0438, 0.0024, 0.0467, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 47.0]), label=6.0, probability=DenseVector([0.105, 0.4301, 0.0015, 0.0107, 0.0272, 0.0002, 0.06, 0.1164, 0.0891, 0.0356, 0.0196, 0.005, 0.0996, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 28.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 42.0]), label=6.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 27.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 41.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 43.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 47.0]), label=6.0, probability=DenseVector([0.1075, 0.4273, 0.0015, 0.0103, 0.028, 0.0002, 0.0595, 0.1188, 0.091, 0.0371, 0.0202, 0.0049, 0.0937, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 48.0]), label=0.0, probability=DenseVector([0.1028, 0.4157, 0.0035, 0.026, 0.0266, 0.0001, 0.0576, 0.1198, 0.0919, 0.037, 0.0192, 0.0063, 0.0935, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 48.0]), label=6.0, probability=DenseVector([0.1028, 0.4157, 0.0035, 0.026, 0.0266, 0.0001, 0.0576, 0.1198, 0.0919, 0.037, 0.0192, 0.0063, 0.0935, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 49.0]), label=6.0, probability=DenseVector([0.1028, 0.4157, 0.0035, 0.026, 0.0266, 0.0001, 0.0576, 0.1198, 0.0919, 0.037, 0.0192, 0.0063, 0.0935, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 50.0]), label=9.0, probability=DenseVector([0.1028, 0.4157, 0.0035, 0.026, 0.0266, 0.0001, 0.0576, 0.1198, 0.0919, 0.037, 0.0192, 0.0063, 0.0935, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 45.0]), label=0.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 28.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 28.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 47.0]), label=6.0, probability=DenseVector([0.1134, 0.409, 0.0031, 0.0078, 0.0301, 0.0002, 0.0636, 0.1176, 0.0946, 0.0464, 0.0216, 0.0053, 0.0874, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 26.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 29.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 29.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 29.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=9.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 43.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 62.0]), label=6.0, probability=DenseVector([0.1053, 0.344, 0.0101, 0.019, 0.038, 0.0025, 0.0649, 0.1145, 0.1075, 0.0705, 0.0236, 0.0167, 0.0835, 0.0001]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 27.0]), label=0.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 36.0]), label=6.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 36.0]), label=6.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=6.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 42.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 42.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 42.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 27.0]), label=0.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 33.0]), label=9.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 39.0]), label=1.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 43.0, 40.0]), label=0.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 43.0, 41.0]), label=0.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 43.0, 45.0]), label=9.0, probability=DenseVector([0.1394, 0.3371, 0.0194, 0.0113, 0.0492, 0.0002, 0.0719, 0.1146, 0.095, 0.053, 0.0427, 0.0063, 0.0594, 0.0003]))
Row(prediction=1.0, features=DenseVector([15.0, 43.0, 49.0]), label=0.0, probability=DenseVector([0.1296, 0.3142, 0.0196, 0.0133, 0.0506, 0.0002, 0.0904, 0.1064, 0.0979, 0.0656, 0.0372, 0.0093, 0.0655, 0.0003]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 29.0]), label=0.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 40.0]), label=6.0, probability=DenseVector([0.2346, 0.2324, 0.0029, 0.001, 0.1081, 0.0, 0.0655, 0.1053, 0.0775, 0.0526, 0.0774, 0.0029, 0.0398, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 40.0]), label=0.0, probability=DenseVector([0.2346, 0.2324, 0.0029, 0.001, 0.1081, 0.0, 0.0655, 0.1053, 0.0775, 0.0526, 0.0774, 0.0029, 0.0398, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2346, 0.2324, 0.0029, 0.001, 0.1081, 0.0, 0.0655, 0.1053, 0.0775, 0.0526, 0.0774, 0.0029, 0.0398, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 44.0, 42.0]), label=0.0, probability=DenseVector([0.1644, 0.301, 0.0069, 0.0035, 0.0701, 0.0, 0.0884, 0.1014, 0.0767, 0.0631, 0.0709, 0.0036, 0.0501, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 44.0, 42.0]), label=6.0, probability=DenseVector([0.1644, 0.301, 0.0069, 0.0035, 0.0701, 0.0, 0.0884, 0.1014, 0.0767, 0.0631, 0.0709, 0.0036, 0.0501, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 44.0, 48.0]), label=0.0, probability=DenseVector([0.1559, 0.2534, 0.0208, 0.0114, 0.0682, 0.0002, 0.1115, 0.0905, 0.087, 0.0779, 0.0545, 0.0072, 0.0613, 0.0003]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 40.0]), label=0.0, probability=DenseVector([0.2336, 0.2242, 0.0029, 0.001, 0.1089, 0.0, 0.0706, 0.1014, 0.0775, 0.0556, 0.0802, 0.0029, 0.041, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 45.0, 42.0]), label=6.0, probability=DenseVector([0.1654, 0.2702, 0.0079, 0.0034, 0.0781, 0.0, 0.105, 0.0958, 0.0765, 0.0668, 0.0766, 0.0037, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 45.0, 47.0]), label=6.0, probability=DenseVector([0.163, 0.243, 0.0206, 0.0107, 0.0737, 0.0002, 0.1137, 0.0856, 0.0865, 0.0787, 0.06, 0.0069, 0.0572, 0.0003]))
Row(prediction=1.0, features=DenseVector([15.0, 45.0, 53.0]), label=6.0, probability=DenseVector([0.1443, 0.236, 0.0163, 0.0203, 0.0665, 0.0, 0.0994, 0.0926, 0.0936, 0.0847, 0.0557, 0.0212, 0.0693, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 23.0]), label=0.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 30.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 36.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 36.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 37.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 38.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 46.0, 42.0]), label=6.0, probability=DenseVector([0.1726, 0.2468, 0.0096, 0.0035, 0.0798, 0.0, 0.1207, 0.0874, 0.0778, 0.0726, 0.0749, 0.0037, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 46.0, 51.0]), label=6.0, probability=DenseVector([0.1446, 0.2043, 0.0423, 0.0169, 0.0787, 0.0002, 0.1309, 0.0806, 0.0928, 0.0796, 0.0665, 0.0117, 0.0505, 0.0004]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 30.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 31.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 33.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 37.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 38.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 47.0, 41.0]), label=9.0, probability=DenseVector([0.1713, 0.1856, 0.0241, 0.0052, 0.0922, 0.0, 0.2004, 0.0553, 0.0673, 0.067, 0.0786, 0.0037, 0.0491, 0.0002]))
Row(prediction=6.0, features=DenseVector([15.0, 47.0, 43.0]), label=6.0, probability=DenseVector([0.164, 0.1803, 0.0312, 0.009, 0.091, 0.0, 0.2004, 0.0554, 0.0673, 0.0685, 0.0797, 0.0041, 0.048, 0.0011]))
Row(prediction=0.0, features=DenseVector([15.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.3403, 0.0533, 0.0002, 0.0, 0.132, 0.0, 0.2584, 0.0611, 0.0372, 0.0232, 0.0561, 0.0011, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.3403, 0.0533, 0.0002, 0.0, 0.132, 0.0, 0.2584, 0.0611, 0.0372, 0.0232, 0.0561, 0.0011, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 48.0, 33.0]), label=0.0, probability=DenseVector([0.3221, 0.0581, 0.0002, 0.0, 0.1411, 0.0, 0.2473, 0.0549, 0.0368, 0.0289, 0.0697, 0.0011, 0.0398, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.3205, 0.0614, 0.0002, 0.0, 0.1466, 0.0, 0.2339, 0.0532, 0.0354, 0.0317, 0.0773, 0.0007, 0.039, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.1522, 0.1418, 0.0441, 0.0125, 0.0983, 0.0002, 0.2389, 0.0435, 0.0711, 0.0611, 0.0777, 0.0084, 0.0499, 0.0004]))
Row(prediction=0.0, features=DenseVector([15.0, 49.0, 25.0]), label=0.0, probability=DenseVector([0.3128, 0.049, 0.0002, 0.0, 0.1149, 0.0, 0.3059, 0.064, 0.0465, 0.0198, 0.0504, 0.0014, 0.0349, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 49.0, 29.0]), label=0.0, probability=DenseVector([0.3128, 0.049, 0.0002, 0.0, 0.1149, 0.0, 0.3059, 0.064, 0.0465, 0.0198, 0.0504, 0.0014, 0.0349, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.3336, 0.0529, 0.0002, 0.0, 0.128, 0.0, 0.2769, 0.0589, 0.0368, 0.0222, 0.0552, 0.0014, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 49.0, 32.0]), label=0.0, probability=DenseVector([0.3336, 0.0529, 0.0002, 0.0, 0.128, 0.0, 0.2769, 0.0589, 0.0368, 0.0222, 0.0552, 0.0014, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 49.0, 33.0]), label=0.0, probability=DenseVector([0.3154, 0.0577, 0.0002, 0.0, 0.1371, 0.0, 0.2657, 0.0527, 0.0364, 0.0279, 0.0688, 0.0014, 0.0365, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.3095, 0.0595, 0.0002, 0.0, 0.1402, 0.0, 0.2635, 0.0505, 0.036, 0.0294, 0.074, 0.0014, 0.0356, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.3137, 0.061, 0.0002, 0.0, 0.1426, 0.0, 0.2523, 0.0511, 0.0351, 0.0307, 0.0764, 0.001, 0.0358, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 49.0, 41.0]), label=0.0, probability=DenseVector([0.1839, 0.1209, 0.0226, 0.0048, 0.1063, 0.0, 0.2938, 0.0348, 0.0519, 0.0436, 0.089, 0.004, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([15.0, 49.0, 43.0]), label=0.0, probability=DenseVector([0.171, 0.1241, 0.0296, 0.0084, 0.1059, 0.0, 0.2889, 0.0325, 0.0532, 0.0442, 0.0903, 0.0044, 0.0465, 0.0011]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 24.0]), label=8.0, probability=DenseVector([0.2696, 0.0401, 0.0002, 0.0, 0.0943, 0.0, 0.4116, 0.0481, 0.0425, 0.0209, 0.0471, 0.0027, 0.0228, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 29.0]), label=0.0, probability=DenseVector([0.2696, 0.0401, 0.0002, 0.0, 0.0943, 0.0, 0.4116, 0.0481, 0.0425, 0.0209, 0.0471, 0.0027, 0.0228, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 31.0]), label=0.0, probability=DenseVector([0.2903, 0.044, 0.0002, 0.0, 0.1074, 0.0, 0.3826, 0.043, 0.0327, 0.0233, 0.0519, 0.0027, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.2903, 0.044, 0.0002, 0.0, 0.1074, 0.0, 0.3826, 0.043, 0.0327, 0.0233, 0.0519, 0.0027, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.2903, 0.044, 0.0002, 0.0, 0.1074, 0.0, 0.3826, 0.043, 0.0327, 0.0233, 0.0519, 0.0027, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.2946, 0.0456, 0.0002, 0.0, 0.1097, 0.0, 0.3715, 0.0437, 0.0318, 0.0245, 0.0543, 0.0022, 0.022, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 38.0]), label=0.0, probability=DenseVector([0.289, 0.0451, 0.0002, 0.0, 0.1088, 0.0, 0.3745, 0.0443, 0.0325, 0.0263, 0.0552, 0.0022, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 39.0]), label=0.0, probability=DenseVector([0.2845, 0.0576, 0.0005, 0.0002, 0.1082, 0.0, 0.3543, 0.0487, 0.0358, 0.0286, 0.0554, 0.0024, 0.0237, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 42.0]), label=6.0, probability=DenseVector([0.1839, 0.1209, 0.0226, 0.0048, 0.1063, 0.0, 0.2938, 0.0348, 0.0519, 0.0436, 0.089, 0.004, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 42.0]), label=9.0, probability=DenseVector([0.1839, 0.1209, 0.0226, 0.0048, 0.1063, 0.0, 0.2938, 0.0348, 0.0519, 0.0436, 0.089, 0.004, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 45.0]), label=6.0, probability=DenseVector([0.1527, 0.1248, 0.0426, 0.0128, 0.1074, 0.0002, 0.2542, 0.037, 0.0696, 0.0517, 0.0877, 0.009, 0.0499, 0.0004]))
Row(prediction=6.0, features=DenseVector([15.0, 51.0, 26.0]), label=6.0, probability=DenseVector([0.2701, 0.0368, 0.0002, 0.0, 0.0869, 0.0, 0.4342, 0.0451, 0.0411, 0.0176, 0.0447, 0.003, 0.0203, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 51.0, 37.0]), label=0.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 20.0]), label=6.0, probability=DenseVector([0.2701, 0.0368, 0.0002, 0.0, 0.0869, 0.0, 0.4342, 0.0451, 0.0411, 0.0176, 0.0447, 0.003, 0.0203, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 29.0]), label=0.0, probability=DenseVector([0.2701, 0.0368, 0.0002, 0.0, 0.0869, 0.0, 0.4342, 0.0451, 0.0411, 0.0176, 0.0447, 0.003, 0.0203, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 31.0]), label=0.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 32.0]), label=0.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 36.0]), label=0.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.2895, 0.0418, 0.0002, 0.0, 0.1014, 0.0, 0.397, 0.0413, 0.0312, 0.0229, 0.0528, 0.0025, 0.0192, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 39.0]), label=0.0, probability=DenseVector([0.285, 0.0542, 0.0005, 0.0002, 0.1008, 0.0, 0.3768, 0.0458, 0.0345, 0.0253, 0.0529, 0.0027, 0.0212, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 40.0]), label=6.0, probability=DenseVector([0.2329, 0.0811, 0.0031, 0.0004, 0.109, 0.0, 0.3396, 0.0308, 0.044, 0.0329, 0.0877, 0.0026, 0.0358, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 54.0, 38.0]), label=6.0, probability=DenseVector([0.2895, 0.0418, 0.0002, 0.0, 0.1014, 0.0, 0.397, 0.0413, 0.0312, 0.0229, 0.0528, 0.0025, 0.0192, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 54.0, 42.0]), label=6.0, probability=DenseVector([0.1839, 0.1209, 0.0226, 0.0048, 0.1063, 0.0, 0.2938, 0.0348, 0.0519, 0.0436, 0.089, 0.004, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([15.0, 54.0, 43.0]), label=9.0, probability=DenseVector([0.171, 0.1241, 0.0296, 0.0084, 0.1059, 0.0, 0.2889, 0.0325, 0.0532, 0.0442, 0.0903, 0.0044, 0.0465, 0.0011]))
Row(prediction=6.0, features=DenseVector([15.0, 55.0, 34.0]), label=0.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 56.0, 41.0]), label=0.0, probability=DenseVector([0.1839, 0.1209, 0.0226, 0.0048, 0.1063, 0.0, 0.2938, 0.0348, 0.0519, 0.0436, 0.089, 0.004, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([15.0, 57.0, 28.0]), label=6.0, probability=DenseVector([0.2542, 0.0357, 0.0002, 0.0, 0.0821, 0.0, 0.462, 0.0435, 0.04, 0.0171, 0.0422, 0.003, 0.0199, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 58.0, 31.0]), label=6.0, probability=DenseVector([0.2742, 0.0378, 0.0002, 0.0, 0.0877, 0.0, 0.4532, 0.0347, 0.0283, 0.0177, 0.0464, 0.0031, 0.0168, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 58.0, 37.0]), label=0.0, probability=DenseVector([0.2784, 0.0393, 0.0002, 0.0, 0.09, 0.0, 0.442, 0.0353, 0.0274, 0.019, 0.0488, 0.0027, 0.0169, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 59.0, 27.0]), label=0.0, probability=DenseVector([0.2245, 0.0297, 0.0002, 0.0, 0.065, 0.0, 0.5419, 0.0359, 0.0343, 0.0123, 0.038, 0.0024, 0.0158, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 11.0, 27.0]), label=12.0, probability=DenseVector([0.2038, 0.357, 0.0, 0.0, 0.1131, 0.0, 0.019, 0.1384, 0.0978, 0.0048, 0.0189, 0.0002, 0.0468, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 16.0, 39.0]), label=6.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 17.0, 36.0]), label=6.0, probability=DenseVector([0.214, 0.4184, 0.0, 0.0, 0.1215, 0.0, 0.0249, 0.0962, 0.0517, 0.0029, 0.0247, 0.0014, 0.0444, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 28.0, 47.0]), label=6.0, probability=DenseVector([0.0621, 0.457, 0.0008, 0.0128, 0.0148, 0.0009, 0.0817, 0.0913, 0.0824, 0.0201, 0.0117, 0.0031, 0.1613, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 33.0]), label=0.0, probability=DenseVector([0.2374, 0.3402, 0.0, 0.0, 0.1441, 0.0, 0.0164, 0.1311, 0.0652, 0.003, 0.0217, 0.001, 0.0399, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 34.0]), label=0.0, probability=DenseVector([0.2534, 0.3349, 0.0, 0.0, 0.1461, 0.0, 0.0178, 0.1188, 0.0603, 0.003, 0.0249, 0.001, 0.0399, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 35.0]), label=0.0, probability=DenseVector([0.2538, 0.3518, 0.0, 0.0, 0.1431, 0.0, 0.019, 0.1071, 0.0555, 0.0029, 0.0255, 0.001, 0.0404, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 39.0]), label=0.0, probability=DenseVector([0.2232, 0.4648, 0.0, 0.0, 0.0938, 0.0, 0.0207, 0.0668, 0.0372, 0.0033, 0.0246, 0.0001, 0.0656, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 40.0]), label=0.0, probability=DenseVector([0.1041, 0.572, 0.0001, 0.0032, 0.0308, 0.0, 0.0299, 0.0757, 0.0439, 0.0069, 0.0176, 0.0016, 0.1141, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 50.0]), label=6.0, probability=DenseVector([0.0556, 0.4234, 0.0029, 0.0541, 0.0128, 0.0006, 0.0698, 0.1019, 0.0766, 0.0187, 0.0091, 0.0064, 0.168, 0.0001]))
Row(prediction=0.0, features=DenseVector([16.0, 30.0, 35.0]), label=0.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 30.0, 35.0]), label=0.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 30.0, 49.0]), label=6.0, probability=DenseVector([0.0563, 0.4098, 0.0029, 0.0538, 0.0128, 0.0006, 0.0799, 0.1041, 0.0769, 0.0184, 0.0084, 0.0084, 0.1675, 0.0001]))
Row(prediction=1.0, features=DenseVector([16.0, 30.0, 50.0]), label=6.0, probability=DenseVector([0.0563, 0.4098, 0.0029, 0.0538, 0.0128, 0.0006, 0.0799, 0.1041, 0.0769, 0.0184, 0.0084, 0.0084, 0.1675, 0.0001]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 35.0]), label=0.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 35.0]), label=0.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 37.0]), label=6.0, probability=DenseVector([0.4091, 0.2123, 0.0, 0.0, 0.1969, 0.0, 0.0068, 0.0481, 0.0237, 0.0058, 0.0596, 0.0001, 0.0377, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 32.0, 49.0]), label=6.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 37.0]), label=6.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 43.0]), label=0.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 44.0]), label=6.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 48.0]), label=6.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 41.0]), label=0.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 42.0]), label=0.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 45.0]), label=0.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 40.0]), label=0.0, probability=DenseVector([0.2309, 0.3694, 0.0003, 0.003, 0.0874, 0.0, 0.025, 0.0936, 0.0674, 0.0158, 0.0365, 0.0025, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 41.0]), label=0.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 43.0]), label=0.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 48.0]), label=9.0, probability=DenseVector([0.0842, 0.4336, 0.0031, 0.029, 0.0222, 0.0001, 0.0583, 0.1124, 0.0806, 0.0286, 0.0154, 0.0065, 0.126, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=6.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 50.0]), label=6.0, probability=DenseVector([0.1003, 0.4185, 0.0035, 0.0264, 0.0258, 0.0001, 0.0582, 0.1173, 0.09, 0.0354, 0.0187, 0.0064, 0.0994, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 26.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 27.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.2552, 0.3353, 0.0003, 0.0013, 0.1011, 0.0, 0.021, 0.1047, 0.0752, 0.0183, 0.0444, 0.0023, 0.0408, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 41.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 28.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 43.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 44.0]), label=0.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 51.0]), label=6.0, probability=DenseVector([0.1078, 0.4078, 0.0042, 0.0262, 0.0277, 0.0001, 0.0576, 0.1189, 0.093, 0.0405, 0.0195, 0.0072, 0.0897, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 27.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 43.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 44.0]), label=0.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 45.0]), label=6.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 48.0]), label=9.0, probability=DenseVector([0.1087, 0.3974, 0.0051, 0.0235, 0.0287, 0.0001, 0.0618, 0.1185, 0.0955, 0.0463, 0.0207, 0.0067, 0.0872, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 19.0]), label=6.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 27.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 28.0]), label=6.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 43.0]), label=9.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 43.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 44.0]), label=0.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 45.0]), label=6.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 47.0]), label=0.0, probability=DenseVector([0.1283, 0.3854, 0.0031, 0.0073, 0.0418, 0.0002, 0.0748, 0.1093, 0.0929, 0.0515, 0.025, 0.005, 0.0754, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 49.0]), label=6.0, probability=DenseVector([0.1152, 0.3749, 0.0051, 0.0242, 0.0374, 0.0001, 0.0716, 0.112, 0.0976, 0.0541, 0.0236, 0.0086, 0.0756, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 28.0]), label=0.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 35.0]), label=6.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 41.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 41.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 43.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 36.0]), label=9.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 39.0]), label=6.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 41.0]), label=0.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 42.0]), label=9.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 42.0]), label=0.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 53.0]), label=6.0, probability=DenseVector([0.1191, 0.3063, 0.0154, 0.0218, 0.0464, 0.0, 0.0775, 0.1116, 0.1012, 0.0688, 0.0334, 0.0214, 0.0772, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 55.0]), label=6.0, probability=DenseVector([0.1178, 0.3022, 0.0121, 0.0198, 0.0482, 0.0025, 0.0778, 0.1089, 0.104, 0.0777, 0.034, 0.0171, 0.0779, 0.0001]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 37.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 38.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 43.0]), label=6.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 46.0]), label=12.0, probability=DenseVector([0.1411, 0.2908, 0.0218, 0.0115, 0.0553, 0.0002, 0.0977, 0.107, 0.09, 0.0676, 0.0476, 0.0084, 0.0606, 0.0003]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 48.0]), label=6.0, probability=DenseVector([0.1449, 0.2709, 0.0218, 0.0116, 0.0608, 0.0002, 0.1152, 0.0952, 0.0884, 0.0757, 0.0445, 0.0086, 0.0617, 0.0003]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 24.0]), label=0.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 34.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 34.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 38.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 40.0]), label=0.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 40.0]), label=0.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 43.0]), label=6.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 43.0]), label=0.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 51.0]), label=0.0, probability=DenseVector([0.1417, 0.2671, 0.023, 0.0122, 0.06, 0.0002, 0.1157, 0.0958, 0.0906, 0.0792, 0.0447, 0.0107, 0.0588, 0.0003]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 62.0]), label=6.0, probability=DenseVector([0.1299, 0.2551, 0.0154, 0.0187, 0.0576, 0.0025, 0.1031, 0.0983, 0.0967, 0.0913, 0.0415, 0.0185, 0.0712, 0.0001]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 30.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 36.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 37.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 46.0, 40.0]), label=0.0, probability=DenseVector([0.2285, 0.2443, 0.0076, 0.0012, 0.096, 0.0, 0.0823, 0.0989, 0.0785, 0.0552, 0.0605, 0.0034, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 46.0, 43.0]), label=6.0, probability=DenseVector([0.1572, 0.278, 0.0126, 0.0038, 0.0682, 0.0, 0.1209, 0.0972, 0.0786, 0.0672, 0.0605, 0.0045, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 46.0, 43.0]), label=0.0, probability=DenseVector([0.1572, 0.278, 0.0126, 0.0038, 0.0682, 0.0, 0.1209, 0.0972, 0.0786, 0.0672, 0.0605, 0.0045, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 27.0]), label=6.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 30.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 31.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 47.0, 43.0]), label=6.0, probability=DenseVector([0.1522, 0.1917, 0.0352, 0.0099, 0.0849, 0.0, 0.2194, 0.0585, 0.0647, 0.063, 0.0659, 0.0046, 0.0489, 0.0011]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 28.0]), label=0.0, probability=DenseVector([0.3196, 0.0493, 0.0002, 0.0, 0.1189, 0.0, 0.2874, 0.0661, 0.0469, 0.0208, 0.0514, 0.0011, 0.0382, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 30.0]), label=6.0, probability=DenseVector([0.3403, 0.0533, 0.0002, 0.0, 0.132, 0.0, 0.2584, 0.0611, 0.0372, 0.0232, 0.0561, 0.0011, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 30.0]), label=0.0, probability=DenseVector([0.3403, 0.0533, 0.0002, 0.0, 0.132, 0.0, 0.2584, 0.0611, 0.0372, 0.0232, 0.0561, 0.0011, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.3403, 0.0533, 0.0002, 0.0, 0.132, 0.0, 0.2584, 0.0611, 0.0372, 0.0232, 0.0561, 0.0011, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.3221, 0.0581, 0.0002, 0.0, 0.1411, 0.0, 0.2473, 0.0549, 0.0368, 0.0289, 0.0697, 0.0011, 0.0398, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.3162, 0.0599, 0.0002, 0.0, 0.1443, 0.0, 0.245, 0.0526, 0.0363, 0.0305, 0.0749, 0.0011, 0.0389, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.3162, 0.0599, 0.0002, 0.0, 0.1443, 0.0, 0.245, 0.0526, 0.0363, 0.0305, 0.0749, 0.0011, 0.0389, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.3162, 0.0599, 0.0002, 0.0, 0.1443, 0.0, 0.245, 0.0526, 0.0363, 0.0305, 0.0749, 0.0011, 0.0389, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.3162, 0.0599, 0.0002, 0.0, 0.1443, 0.0, 0.245, 0.0526, 0.0363, 0.0305, 0.0749, 0.0011, 0.0389, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.3205, 0.0614, 0.0002, 0.0, 0.1466, 0.0, 0.2339, 0.0532, 0.0354, 0.0317, 0.0773, 0.0007, 0.039, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.3205, 0.0614, 0.0002, 0.0, 0.1466, 0.0, 0.2339, 0.0532, 0.0354, 0.0317, 0.0773, 0.0007, 0.039, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 35.0]), label=6.0, probability=DenseVector([0.3205, 0.0614, 0.0002, 0.0, 0.1466, 0.0, 0.2339, 0.0532, 0.0354, 0.0317, 0.0773, 0.0007, 0.039, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 37.0]), label=9.0, probability=DenseVector([0.3205, 0.0614, 0.0002, 0.0, 0.1466, 0.0, 0.2339, 0.0532, 0.0354, 0.0317, 0.0773, 0.0007, 0.039, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.2856, 0.0747, 0.0005, 0.0002, 0.1411, 0.0, 0.2415, 0.0554, 0.0381, 0.0423, 0.0803, 0.0009, 0.0394, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.2856, 0.0747, 0.0005, 0.0002, 0.1411, 0.0, 0.2415, 0.0554, 0.0381, 0.0423, 0.0803, 0.0009, 0.0394, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 39.0]), label=0.0, probability=DenseVector([0.2856, 0.0747, 0.0005, 0.0002, 0.1411, 0.0, 0.2415, 0.0554, 0.0381, 0.0423, 0.0803, 0.0009, 0.0394, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 39.0]), label=0.0, probability=DenseVector([0.2856, 0.0747, 0.0005, 0.0002, 0.1411, 0.0, 0.2415, 0.0554, 0.0381, 0.0423, 0.0803, 0.0009, 0.0394, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 48.0, 41.0]), label=6.0, probability=DenseVector([0.175, 0.1587, 0.0265, 0.0057, 0.0945, 0.0, 0.2664, 0.0439, 0.056, 0.0543, 0.0679, 0.0041, 0.0467, 0.0002]))
Row(prediction=6.0, features=DenseVector([16.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.17, 0.1531, 0.0266, 0.0059, 0.0954, 0.0, 0.2719, 0.0446, 0.056, 0.0563, 0.0694, 0.0045, 0.0461, 0.0002]))
Row(prediction=6.0, features=DenseVector([16.0, 48.0, 44.0]), label=0.0, probability=DenseVector([0.1468, 0.1492, 0.0461, 0.0134, 0.0945, 0.0002, 0.2405, 0.0458, 0.0699, 0.066, 0.0669, 0.0096, 0.0507, 0.0004]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 24.0]), label=6.0, probability=DenseVector([0.3128, 0.049, 0.0002, 0.0, 0.1149, 0.0, 0.3059, 0.064, 0.0465, 0.0198, 0.0504, 0.0014, 0.0349, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 27.0]), label=0.0, probability=DenseVector([0.3128, 0.049, 0.0002, 0.0, 0.1149, 0.0, 0.3059, 0.064, 0.0465, 0.0198, 0.0504, 0.0014, 0.0349, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.3336, 0.0529, 0.0002, 0.0, 0.128, 0.0, 0.2769, 0.0589, 0.0368, 0.0222, 0.0552, 0.0014, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.3336, 0.0529, 0.0002, 0.0, 0.128, 0.0, 0.2769, 0.0589, 0.0368, 0.0222, 0.0552, 0.0014, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.3336, 0.0529, 0.0002, 0.0, 0.128, 0.0, 0.2769, 0.0589, 0.0368, 0.0222, 0.0552, 0.0014, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.3336, 0.0529, 0.0002, 0.0, 0.128, 0.0, 0.2769, 0.0589, 0.0368, 0.0222, 0.0552, 0.0014, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 31.0]), label=0.0, probability=DenseVector([0.3336, 0.0529, 0.0002, 0.0, 0.128, 0.0, 0.2769, 0.0589, 0.0368, 0.0222, 0.0552, 0.0014, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.3336, 0.0529, 0.0002, 0.0, 0.128, 0.0, 0.2769, 0.0589, 0.0368, 0.0222, 0.0552, 0.0014, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 32.0]), label=0.0, probability=DenseVector([0.3336, 0.0529, 0.0002, 0.0, 0.128, 0.0, 0.2769, 0.0589, 0.0368, 0.0222, 0.0552, 0.0014, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 33.0]), label=0.0, probability=DenseVector([0.3154, 0.0577, 0.0002, 0.0, 0.1371, 0.0, 0.2657, 0.0527, 0.0364, 0.0279, 0.0688, 0.0014, 0.0365, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.3095, 0.0595, 0.0002, 0.0, 0.1402, 0.0, 0.2635, 0.0505, 0.036, 0.0294, 0.074, 0.0014, 0.0356, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 35.0]), label=0.0, probability=DenseVector([0.3137, 0.061, 0.0002, 0.0, 0.1426, 0.0, 0.2523, 0.0511, 0.0351, 0.0307, 0.0764, 0.001, 0.0358, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 38.0]), label=0.0, probability=DenseVector([0.3081, 0.0606, 0.0002, 0.0, 0.1417, 0.0, 0.2554, 0.0517, 0.0358, 0.0325, 0.0774, 0.001, 0.0356, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 49.0, 40.0]), label=0.0, probability=DenseVector([0.2242, 0.0988, 0.0058, 0.0012, 0.1305, 0.0, 0.2866, 0.035, 0.0462, 0.0417, 0.0825, 0.0023, 0.0452, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.2242, 0.0988, 0.0058, 0.0012, 0.1305, 0.0, 0.2866, 0.035, 0.0462, 0.0417, 0.0825, 0.0023, 0.0452, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 28.0]), label=6.0, probability=DenseVector([0.2696, 0.0401, 0.0002, 0.0, 0.0943, 0.0, 0.4116, 0.0481, 0.0425, 0.0209, 0.0471, 0.0027, 0.0228, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 29.0]), label=0.0, probability=DenseVector([0.2696, 0.0401, 0.0002, 0.0, 0.0943, 0.0, 0.4116, 0.0481, 0.0425, 0.0209, 0.0471, 0.0027, 0.0228, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.2903, 0.044, 0.0002, 0.0, 0.1074, 0.0, 0.3826, 0.043, 0.0327, 0.0233, 0.0519, 0.0027, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.2903, 0.044, 0.0002, 0.0, 0.1074, 0.0, 0.3826, 0.043, 0.0327, 0.0233, 0.0519, 0.0027, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.2903, 0.044, 0.0002, 0.0, 0.1074, 0.0, 0.3826, 0.043, 0.0327, 0.0233, 0.0519, 0.0027, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 32.0]), label=0.0, probability=DenseVector([0.2903, 0.044, 0.0002, 0.0, 0.1074, 0.0, 0.3826, 0.043, 0.0327, 0.0233, 0.0519, 0.0027, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 32.0]), label=0.0, probability=DenseVector([0.2903, 0.044, 0.0002, 0.0, 0.1074, 0.0, 0.3826, 0.043, 0.0327, 0.0233, 0.0519, 0.0027, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 34.0]), label=0.0, probability=DenseVector([0.2903, 0.044, 0.0002, 0.0, 0.1074, 0.0, 0.3826, 0.043, 0.0327, 0.0233, 0.0519, 0.0027, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.2946, 0.0456, 0.0002, 0.0, 0.1097, 0.0, 0.3715, 0.0437, 0.0318, 0.0245, 0.0543, 0.0022, 0.022, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.1778, 0.1268, 0.0254, 0.0055, 0.1077, 0.0, 0.2957, 0.0375, 0.0526, 0.0473, 0.074, 0.004, 0.0455, 0.0002]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 44.0]), label=6.0, probability=DenseVector([0.1537, 0.1363, 0.0448, 0.013, 0.1026, 0.0002, 0.2494, 0.0413, 0.0675, 0.0582, 0.073, 0.0093, 0.0501, 0.0004]))
Row(prediction=6.0, features=DenseVector([16.0, 50.0, 46.0]), label=6.0, probability=DenseVector([0.148, 0.1361, 0.0446, 0.0137, 0.1055, 0.0002, 0.2446, 0.041, 0.0708, 0.0598, 0.0738, 0.0099, 0.0516, 0.0004]))
Row(prediction=6.0, features=DenseVector([16.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 51.0, 36.0]), label=0.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 51.0, 38.0]), label=0.0, probability=DenseVector([0.2895, 0.0418, 0.0002, 0.0, 0.1014, 0.0, 0.397, 0.0413, 0.0312, 0.0229, 0.0528, 0.0025, 0.0192, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.285, 0.0542, 0.0005, 0.0002, 0.1008, 0.0, 0.3768, 0.0458, 0.0345, 0.0253, 0.0529, 0.0027, 0.0212, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 51.0, 39.0]), label=0.0, probability=DenseVector([0.285, 0.0542, 0.0005, 0.0002, 0.1008, 0.0, 0.3768, 0.0458, 0.0345, 0.0253, 0.0529, 0.0027, 0.0212, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 51.0, 44.0]), label=6.0, probability=DenseVector([0.1537, 0.1363, 0.0448, 0.013, 0.1026, 0.0002, 0.2494, 0.0413, 0.0675, 0.0582, 0.073, 0.0093, 0.0501, 0.0004]))
Row(prediction=6.0, features=DenseVector([16.0, 52.0, 28.0]), label=0.0, probability=DenseVector([0.2701, 0.0368, 0.0002, 0.0, 0.0869, 0.0, 0.4342, 0.0451, 0.0411, 0.0176, 0.0447, 0.003, 0.0203, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.2701, 0.0368, 0.0002, 0.0, 0.0869, 0.0, 0.4342, 0.0451, 0.0411, 0.0176, 0.0447, 0.003, 0.0203, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 52.0, 39.0]), label=0.0, probability=DenseVector([0.285, 0.0542, 0.0005, 0.0002, 0.1008, 0.0, 0.3768, 0.0458, 0.0345, 0.0253, 0.0529, 0.0027, 0.0212, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 52.0, 47.0]), label=6.0, probability=DenseVector([0.1518, 0.1221, 0.0436, 0.0136, 0.1133, 0.0002, 0.2498, 0.0368, 0.0724, 0.0642, 0.0718, 0.0104, 0.0496, 0.0004]))
Row(prediction=6.0, features=DenseVector([16.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 53.0, 32.0]), label=0.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 53.0, 42.0]), label=9.0, probability=DenseVector([0.1778, 0.1268, 0.0254, 0.0055, 0.1077, 0.0, 0.2957, 0.0375, 0.0526, 0.0473, 0.074, 0.004, 0.0455, 0.0002]))
Row(prediction=6.0, features=DenseVector([16.0, 54.0, 40.0]), label=6.0, probability=DenseVector([0.2268, 0.0871, 0.0058, 0.0012, 0.1105, 0.0, 0.3416, 0.0335, 0.0447, 0.0366, 0.0727, 0.0026, 0.0369, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 56.0, 34.0]), label=0.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 57.0, 32.0]), label=6.0, probability=DenseVector([0.2882, 0.0408, 0.0002, 0.0, 0.0973, 0.0, 0.4137, 0.0384, 0.0306, 0.0201, 0.0481, 0.0036, 0.0189, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 57.0, 33.0]), label=6.0, probability=DenseVector([0.2882, 0.0408, 0.0002, 0.0, 0.0973, 0.0, 0.4137, 0.0384, 0.0306, 0.0201, 0.0481, 0.0036, 0.0189, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 58.0, 38.0]), label=9.0, probability=DenseVector([0.2728, 0.0389, 0.0002, 0.0, 0.0892, 0.0, 0.4451, 0.0359, 0.0281, 0.0207, 0.0497, 0.0027, 0.0168, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 60.0, 30.0]), label=6.0, probability=DenseVector([0.2586, 0.0349, 0.0002, 0.0, 0.0802, 0.0, 0.4935, 0.0309, 0.0249, 0.0152, 0.0439, 0.003, 0.0148, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 5.0, 62.0]), label=12.0, probability=DenseVector([0.0419, 0.4292, 0.0012, 0.013, 0.0106, 0.0, 0.0529, 0.0813, 0.0723, 0.0526, 0.007, 0.0029, 0.2351, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 26.0, 47.0]), label=0.0, probability=DenseVector([0.0627, 0.4773, 0.0008, 0.0133, 0.0148, 0.0009, 0.0608, 0.0935, 0.0817, 0.0198, 0.0099, 0.0032, 0.1615, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 28.0, 47.0]), label=6.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 34.0]), label=0.0, probability=DenseVector([0.2534, 0.3349, 0.0, 0.0, 0.1461, 0.0, 0.0178, 0.1188, 0.0603, 0.003, 0.0249, 0.001, 0.0399, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 50.0]), label=9.0, probability=DenseVector([0.0573, 0.4088, 0.0029, 0.0544, 0.0128, 0.0006, 0.0682, 0.1098, 0.0831, 0.0184, 0.0084, 0.0064, 0.1687, 0.0001]))
Row(prediction=0.0, features=DenseVector([17.0, 30.0, 29.0]), label=0.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 30.0, 40.0]), label=0.0, probability=DenseVector([0.1441, 0.547, 0.0001, 0.0032, 0.0509, 0.0, 0.0244, 0.0603, 0.0337, 0.0063, 0.0257, 0.0016, 0.1027, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 31.0, 31.0]), label=0.0, probability=DenseVector([0.4431, 0.1221, 0.0, 0.0, 0.2616, 0.0, 0.0043, 0.064, 0.0431, 0.0018, 0.0422, 0.0001, 0.0178, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 31.0, 35.0]), label=0.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 31.0, 38.0]), label=0.0, probability=DenseVector([0.3764, 0.258, 0.0, 0.0, 0.1732, 0.0, 0.0082, 0.045, 0.0237, 0.0059, 0.0565, 0.0001, 0.053, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 31.0, 46.0]), label=6.0, probability=DenseVector([0.0876, 0.4558, 0.0009, 0.0122, 0.023, 0.0009, 0.0558, 0.0939, 0.0943, 0.0162, 0.0161, 0.0035, 0.1397, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 31.0, 47.0]), label=9.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 40.0]), label=0.0, probability=DenseVector([0.2135, 0.4138, 0.0001, 0.0035, 0.0791, 0.0, 0.0261, 0.0788, 0.0541, 0.0111, 0.0319, 0.002, 0.0861, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 47.0]), label=6.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 52.0]), label=11.0, probability=DenseVector([0.0572, 0.4389, 0.0009, 0.0404, 0.0155, 0.0005, 0.0603, 0.1118, 0.0691, 0.0213, 0.009, 0.016, 0.1591, 0.0001]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 48.0]), label=9.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 49.0]), label=6.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 49.0]), label=6.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 33.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 34.0, 48.0]), label=6.0, probability=DenseVector([0.0716, 0.4436, 0.0029, 0.0296, 0.0181, 0.0001, 0.0637, 0.1067, 0.0755, 0.0233, 0.0119, 0.0063, 0.1468, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 40.0]), label=0.0, probability=DenseVector([0.2309, 0.3694, 0.0003, 0.003, 0.0874, 0.0, 0.025, 0.0936, 0.0674, 0.0158, 0.0365, 0.0025, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 44.0]), label=0.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 47.0]), label=6.0, probability=DenseVector([0.089, 0.4452, 0.0011, 0.0132, 0.0236, 0.0002, 0.0601, 0.1115, 0.0797, 0.0288, 0.0163, 0.005, 0.1262, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 47.0]), label=9.0, probability=DenseVector([0.089, 0.4452, 0.0011, 0.0132, 0.0236, 0.0002, 0.0601, 0.1115, 0.0797, 0.0288, 0.0163, 0.005, 0.1262, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 25.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 46.0]), label=0.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 46.0]), label=9.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 40.0]), label=6.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 41.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 43.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 44.0]), label=0.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 49.0]), label=9.0, probability=DenseVector([0.1028, 0.4157, 0.0035, 0.026, 0.0266, 0.0001, 0.0576, 0.1198, 0.0919, 0.037, 0.0192, 0.0063, 0.0935, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 39.0]), label=6.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 40.0]), label=6.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 42.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 42.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 50.0]), label=9.0, probability=DenseVector([0.1078, 0.4078, 0.0042, 0.0262, 0.0277, 0.0001, 0.0576, 0.1189, 0.093, 0.0405, 0.0195, 0.0072, 0.0897, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 34.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 43.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 48.0]), label=11.0, probability=DenseVector([0.1087, 0.3974, 0.0051, 0.0235, 0.0287, 0.0001, 0.0618, 0.1185, 0.0955, 0.0463, 0.0207, 0.0067, 0.0872, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.1087, 0.3974, 0.0051, 0.0235, 0.0287, 0.0001, 0.0618, 0.1185, 0.0955, 0.0463, 0.0207, 0.0067, 0.0872, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 23.0]), label=6.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 38.0]), label=6.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 39.0]), label=1.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 43.0]), label=6.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 44.0]), label=0.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 48.0]), label=9.0, probability=DenseVector([0.1235, 0.3738, 0.0051, 0.023, 0.0404, 0.0001, 0.073, 0.1102, 0.0938, 0.0513, 0.0241, 0.0064, 0.0752, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 23.0]), label=8.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 40.0]), label=9.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 44.0]), label=0.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 47.0]), label=6.0, probability=DenseVector([0.1265, 0.3587, 0.0171, 0.0105, 0.0453, 0.0002, 0.0794, 0.1069, 0.0948, 0.0548, 0.0289, 0.0066, 0.07, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 49.0]), label=0.0, probability=DenseVector([0.1182, 0.3597, 0.0171, 0.0116, 0.0424, 0.0002, 0.078, 0.1087, 0.0986, 0.0576, 0.0284, 0.0088, 0.0704, 0.0003]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 36.0]), label=6.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 37.0]), label=9.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 37.0]), label=9.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 43.0]), label=6.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 44.0]), label=9.0, probability=DenseVector([0.1394, 0.3371, 0.0194, 0.0113, 0.0492, 0.0002, 0.0719, 0.1146, 0.095, 0.053, 0.0427, 0.0063, 0.0594, 0.0003]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 32.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 36.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 38.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 41.0]), label=9.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 42.0]), label=6.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 42.0]), label=0.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 43.0]), label=6.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 44.0]), label=9.0, probability=DenseVector([0.1465, 0.2948, 0.0216, 0.0108, 0.0564, 0.0002, 0.0954, 0.1051, 0.0892, 0.0659, 0.0496, 0.008, 0.0561, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 45.0]), label=9.0, probability=DenseVector([0.1465, 0.2948, 0.0216, 0.0108, 0.0564, 0.0002, 0.0954, 0.1051, 0.0892, 0.0659, 0.0496, 0.008, 0.0561, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 45.0]), label=1.0, probability=DenseVector([0.1465, 0.2948, 0.0216, 0.0108, 0.0564, 0.0002, 0.0954, 0.1051, 0.0892, 0.0659, 0.0496, 0.008, 0.0561, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 47.0]), label=6.0, probability=DenseVector([0.1449, 0.2709, 0.0218, 0.0116, 0.0608, 0.0002, 0.1152, 0.0952, 0.0884, 0.0757, 0.0445, 0.0086, 0.0617, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 49.0]), label=9.0, probability=DenseVector([0.1366, 0.2719, 0.0218, 0.0128, 0.0578, 0.0002, 0.1139, 0.097, 0.0922, 0.0785, 0.044, 0.0109, 0.0622, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 53.0]), label=6.0, probability=DenseVector([0.1262, 0.264, 0.0176, 0.0213, 0.0536, 0.0, 0.1009, 0.1022, 0.0955, 0.0817, 0.0402, 0.023, 0.0739, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 24.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 29.0]), label=0.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 30.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 32.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 35.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 37.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 39.0]), label=6.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 41.0]), label=0.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 43.0]), label=6.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 43.0]), label=1.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 44.0]), label=9.0, probability=DenseVector([0.1461, 0.286, 0.023, 0.0109, 0.0575, 0.0002, 0.0996, 0.1059, 0.0885, 0.0683, 0.0482, 0.0082, 0.0573, 0.0003]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 30.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 31.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 32.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 32.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 33.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 33.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 34.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 34.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 37.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 38.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 42.0]), label=2.0, probability=DenseVector([0.1572, 0.278, 0.0126, 0.0038, 0.0682, 0.0, 0.1209, 0.0972, 0.0786, 0.0672, 0.0605, 0.0045, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 42.0]), label=0.0, probability=DenseVector([0.1572, 0.278, 0.0126, 0.0038, 0.0682, 0.0, 0.1209, 0.0972, 0.0786, 0.0672, 0.0605, 0.0045, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.1413, 0.2503, 0.0453, 0.015, 0.0599, 0.0002, 0.117, 0.0979, 0.0879, 0.0735, 0.0491, 0.0096, 0.0526, 0.0004]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.1413, 0.2503, 0.0453, 0.015, 0.0599, 0.0002, 0.117, 0.0979, 0.0879, 0.0735, 0.0491, 0.0096, 0.0526, 0.0004]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 47.0]), label=0.0, probability=DenseVector([0.1481, 0.2182, 0.0447, 0.0148, 0.0726, 0.0002, 0.1432, 0.0835, 0.0861, 0.0771, 0.0496, 0.0097, 0.0518, 0.0004]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 47.0]), label=6.0, probability=DenseVector([0.1481, 0.2182, 0.0447, 0.0148, 0.0726, 0.0002, 0.1432, 0.0835, 0.0861, 0.0771, 0.0496, 0.0097, 0.0518, 0.0004]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 28.0]), label=0.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 29.0]), label=0.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 29.0]), label=0.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 30.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 31.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 32.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 32.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 34.0]), label=6.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 40.0]), label=0.0, probability=DenseVector([0.2369, 0.189, 0.0086, 0.0017, 0.1131, 0.0, 0.1392, 0.0742, 0.069, 0.0514, 0.0691, 0.0027, 0.045, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 40.0]), label=6.0, probability=DenseVector([0.2369, 0.189, 0.0086, 0.0017, 0.1131, 0.0, 0.1392, 0.0742, 0.069, 0.0514, 0.0691, 0.0027, 0.045, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 47.0, 42.0]), label=9.0, probability=DenseVector([0.1545, 0.1914, 0.0282, 0.0063, 0.0871, 0.0, 0.2248, 0.059, 0.0648, 0.0634, 0.0663, 0.0046, 0.0494, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.1545, 0.1914, 0.0282, 0.0063, 0.0871, 0.0, 0.2248, 0.059, 0.0648, 0.0634, 0.0663, 0.0046, 0.0494, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 47.0, 43.0]), label=0.0, probability=DenseVector([0.1522, 0.1917, 0.0352, 0.0099, 0.0849, 0.0, 0.2194, 0.0585, 0.0647, 0.063, 0.0659, 0.0046, 0.0489, 0.0011]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 19.0]), label=6.0, probability=DenseVector([0.2799, 0.0462, 0.0002, 0.0, 0.097, 0.0, 0.3559, 0.0691, 0.0628, 0.0199, 0.0341, 0.0009, 0.0339, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 27.0]), label=6.0, probability=DenseVector([0.2799, 0.0462, 0.0002, 0.0, 0.097, 0.0, 0.3559, 0.0691, 0.0628, 0.0199, 0.0341, 0.0009, 0.0339, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 30.0]), label=9.0, probability=DenseVector([0.3141, 0.0526, 0.0002, 0.0, 0.1155, 0.0, 0.3141, 0.0592, 0.0435, 0.0241, 0.0414, 0.0009, 0.0344, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 30.0]), label=0.0, probability=DenseVector([0.3141, 0.0526, 0.0002, 0.0, 0.1155, 0.0, 0.3141, 0.0592, 0.0435, 0.0241, 0.0414, 0.0009, 0.0344, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 31.0]), label=6.0, probability=DenseVector([0.3141, 0.0526, 0.0002, 0.0, 0.1155, 0.0, 0.3141, 0.0592, 0.0435, 0.0241, 0.0414, 0.0009, 0.0344, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 31.0]), label=0.0, probability=DenseVector([0.3141, 0.0526, 0.0002, 0.0, 0.1155, 0.0, 0.3141, 0.0592, 0.0435, 0.0241, 0.0414, 0.0009, 0.0344, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.3041, 0.0602, 0.0003, 0.0, 0.1128, 0.0, 0.3143, 0.0512, 0.0408, 0.0325, 0.0483, 0.0009, 0.0345, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.3041, 0.0602, 0.0003, 0.0, 0.1128, 0.0, 0.3143, 0.0512, 0.0408, 0.0325, 0.0483, 0.0009, 0.0345, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 33.0]), label=0.0, probability=DenseVector([0.3041, 0.0602, 0.0003, 0.0, 0.1128, 0.0, 0.3143, 0.0512, 0.0408, 0.0325, 0.0483, 0.0009, 0.0345, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.2958, 0.0638, 0.0005, 0.0, 0.1076, 0.0, 0.3246, 0.0492, 0.04, 0.0352, 0.0481, 0.0009, 0.0343, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 37.0]), label=6.0, probability=DenseVector([0.3, 0.0653, 0.0005, 0.0, 0.1099, 0.0, 0.3135, 0.0498, 0.0391, 0.0364, 0.0505, 0.0004, 0.0344, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 37.0]), label=6.0, probability=DenseVector([0.3, 0.0653, 0.0005, 0.0, 0.1099, 0.0, 0.3135, 0.0498, 0.0391, 0.0364, 0.0505, 0.0004, 0.0344, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 38.0]), label=0.0, probability=DenseVector([0.2944, 0.0648, 0.0005, 0.0, 0.1091, 0.0, 0.3165, 0.0505, 0.0398, 0.0382, 0.0514, 0.0004, 0.0342, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 46.0]), label=0.0, probability=DenseVector([0.1468, 0.1492, 0.0461, 0.0134, 0.0945, 0.0002, 0.2405, 0.0458, 0.0699, 0.066, 0.0669, 0.0096, 0.0507, 0.0004]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.2934, 0.0555, 0.0002, 0.0, 0.1026, 0.0, 0.3544, 0.0578, 0.0461, 0.0222, 0.037, 0.0009, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.2934, 0.0555, 0.0002, 0.0, 0.1026, 0.0, 0.3544, 0.0578, 0.0461, 0.0222, 0.037, 0.0009, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.2934, 0.0555, 0.0002, 0.0, 0.1026, 0.0, 0.3544, 0.0578, 0.0461, 0.0222, 0.037, 0.0009, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.2934, 0.0555, 0.0002, 0.0, 0.1026, 0.0, 0.3544, 0.0578, 0.0461, 0.0222, 0.037, 0.0009, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 31.0]), label=0.0, probability=DenseVector([0.2934, 0.0555, 0.0002, 0.0, 0.1026, 0.0, 0.3544, 0.0578, 0.0461, 0.0222, 0.037, 0.0009, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.2934, 0.0555, 0.0002, 0.0, 0.1026, 0.0, 0.3544, 0.0578, 0.0461, 0.0222, 0.037, 0.0009, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.2934, 0.0555, 0.0002, 0.0, 0.1026, 0.0, 0.3544, 0.0578, 0.0461, 0.0222, 0.037, 0.0009, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.2934, 0.0555, 0.0002, 0.0, 0.1026, 0.0, 0.3544, 0.0578, 0.0461, 0.0222, 0.037, 0.0009, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 32.0]), label=0.0, probability=DenseVector([0.2934, 0.0555, 0.0002, 0.0, 0.1026, 0.0, 0.3544, 0.0578, 0.0461, 0.0222, 0.037, 0.0009, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 33.0]), label=0.0, probability=DenseVector([0.2835, 0.063, 0.0003, 0.0, 0.1, 0.0, 0.3547, 0.0499, 0.0434, 0.0306, 0.0439, 0.0009, 0.0299, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 33.0]), label=0.0, probability=DenseVector([0.2835, 0.063, 0.0003, 0.0, 0.1, 0.0, 0.3547, 0.0499, 0.0434, 0.0306, 0.0439, 0.0009, 0.0299, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.2794, 0.0682, 0.0005, 0.0, 0.0971, 0.0, 0.3538, 0.0485, 0.0417, 0.0345, 0.0461, 0.0004, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.2794, 0.0682, 0.0005, 0.0, 0.0971, 0.0, 0.3538, 0.0485, 0.0417, 0.0345, 0.0461, 0.0004, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 37.0]), label=0.0, probability=DenseVector([0.2794, 0.0682, 0.0005, 0.0, 0.0971, 0.0, 0.3538, 0.0485, 0.0417, 0.0345, 0.0461, 0.0004, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.2738, 0.0677, 0.0005, 0.0, 0.0962, 0.0, 0.3569, 0.0491, 0.0424, 0.0363, 0.047, 0.0004, 0.0297, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.2738, 0.0677, 0.0005, 0.0, 0.0962, 0.0, 0.3569, 0.0491, 0.0424, 0.0363, 0.047, 0.0004, 0.0297, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 40.0]), label=9.0, probability=DenseVector([0.2152, 0.1022, 0.0061, 0.0012, 0.11, 0.0, 0.3223, 0.0346, 0.046, 0.0435, 0.0728, 0.0023, 0.0438, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.2152, 0.1022, 0.0061, 0.0012, 0.11, 0.0, 0.3223, 0.0346, 0.046, 0.0435, 0.0728, 0.0023, 0.0438, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 43.0]), label=0.0, probability=DenseVector([0.1648, 0.13, 0.0323, 0.0091, 0.1073, 0.0, 0.2908, 0.0353, 0.0539, 0.0479, 0.0754, 0.0044, 0.0476, 0.0011]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.1648, 0.13, 0.0323, 0.0091, 0.1073, 0.0, 0.2908, 0.0353, 0.0539, 0.0479, 0.0754, 0.0044, 0.0476, 0.0011]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.1537, 0.1363, 0.0448, 0.013, 0.1026, 0.0002, 0.2494, 0.0413, 0.0675, 0.0582, 0.073, 0.0093, 0.0501, 0.0004]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.2512, 0.0412, 0.0002, 0.0, 0.0807, 0.0, 0.4504, 0.0488, 0.0442, 0.0203, 0.0405, 0.0021, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.2719, 0.0451, 0.0002, 0.0, 0.0937, 0.0, 0.4213, 0.0437, 0.0345, 0.0226, 0.0452, 0.0021, 0.0195, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.2719, 0.0451, 0.0002, 0.0, 0.0937, 0.0, 0.4213, 0.0437, 0.0345, 0.0226, 0.0452, 0.0021, 0.0195, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.2719, 0.0451, 0.0002, 0.0, 0.0937, 0.0, 0.4213, 0.0437, 0.0345, 0.0226, 0.0452, 0.0021, 0.0195, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.2719, 0.0451, 0.0002, 0.0, 0.0937, 0.0, 0.4213, 0.0437, 0.0345, 0.0226, 0.0452, 0.0021, 0.0195, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.2719, 0.0451, 0.0002, 0.0, 0.0937, 0.0, 0.4213, 0.0437, 0.0345, 0.0226, 0.0452, 0.0021, 0.0195, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.2706, 0.0462, 0.0002, 0.0, 0.0952, 0.0, 0.4132, 0.045, 0.0343, 0.0256, 0.0486, 0.0016, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 38.0]), label=0.0, probability=DenseVector([0.2706, 0.0462, 0.0002, 0.0, 0.0952, 0.0, 0.4132, 0.045, 0.0343, 0.0256, 0.0486, 0.0016, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.2661, 0.0586, 0.0005, 0.0002, 0.0946, 0.0, 0.393, 0.0494, 0.0376, 0.028, 0.0487, 0.0018, 0.0214, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 40.0]), label=0.0, probability=DenseVector([0.221, 0.0891, 0.0058, 0.0012, 0.109, 0.0, 0.3447, 0.0344, 0.0459, 0.0375, 0.0715, 0.0026, 0.0374, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.249, 0.0399, 0.0002, 0.0, 0.0775, 0.0, 0.4633, 0.0465, 0.0434, 0.0185, 0.04, 0.0024, 0.0192, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 29.0]), label=0.0, probability=DenseVector([0.249, 0.0399, 0.0002, 0.0, 0.0775, 0.0, 0.4633, 0.0465, 0.0434, 0.0185, 0.04, 0.0024, 0.0192, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.2697, 0.0438, 0.0002, 0.0, 0.0906, 0.0, 0.4343, 0.0415, 0.0336, 0.0208, 0.0448, 0.0024, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.2697, 0.0438, 0.0002, 0.0, 0.0906, 0.0, 0.4343, 0.0415, 0.0336, 0.0208, 0.0448, 0.0024, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.2697, 0.0438, 0.0002, 0.0, 0.0906, 0.0, 0.4343, 0.0415, 0.0336, 0.0208, 0.0448, 0.0024, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 31.0]), label=0.0, probability=DenseVector([0.2697, 0.0438, 0.0002, 0.0, 0.0906, 0.0, 0.4343, 0.0415, 0.0336, 0.0208, 0.0448, 0.0024, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 32.0]), label=0.0, probability=DenseVector([0.2697, 0.0438, 0.0002, 0.0, 0.0906, 0.0, 0.4343, 0.0415, 0.0336, 0.0208, 0.0448, 0.0024, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.2697, 0.0438, 0.0002, 0.0, 0.0906, 0.0, 0.4343, 0.0415, 0.0336, 0.0208, 0.0448, 0.0024, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.274, 0.0453, 0.0002, 0.0, 0.0929, 0.0, 0.4231, 0.0421, 0.0327, 0.0221, 0.0472, 0.002, 0.0184, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.274, 0.0453, 0.0002, 0.0, 0.0929, 0.0, 0.4231, 0.0421, 0.0327, 0.0221, 0.0472, 0.002, 0.0184, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.274, 0.0453, 0.0002, 0.0, 0.0929, 0.0, 0.4231, 0.0421, 0.0327, 0.0221, 0.0472, 0.002, 0.0184, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.274, 0.0453, 0.0002, 0.0, 0.0929, 0.0, 0.4231, 0.0421, 0.0327, 0.0221, 0.0472, 0.002, 0.0184, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.221, 0.0891, 0.0058, 0.0012, 0.109, 0.0, 0.3447, 0.0344, 0.0459, 0.0375, 0.0715, 0.0026, 0.0374, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 46.0]), label=9.0, probability=DenseVector([0.148, 0.1361, 0.0446, 0.0137, 0.1055, 0.0002, 0.2446, 0.041, 0.0708, 0.0598, 0.0738, 0.0099, 0.0516, 0.0004]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 47.0]), label=6.0, probability=DenseVector([0.1518, 0.1221, 0.0436, 0.0136, 0.1133, 0.0002, 0.2498, 0.0368, 0.0724, 0.0642, 0.0718, 0.0104, 0.0496, 0.0004]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 51.0]), label=9.0, probability=DenseVector([0.1262, 0.1445, 0.0428, 0.0188, 0.1046, 0.0002, 0.2311, 0.0419, 0.0835, 0.0636, 0.0767, 0.0166, 0.0491, 0.0004]))
Row(prediction=6.0, features=DenseVector([17.0, 52.0, 26.0]), label=6.0, probability=DenseVector([0.249, 0.0399, 0.0002, 0.0, 0.0775, 0.0, 0.4633, 0.0465, 0.0434, 0.0185, 0.04, 0.0024, 0.0192, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.249, 0.0399, 0.0002, 0.0, 0.0775, 0.0, 0.4633, 0.0465, 0.0434, 0.0185, 0.04, 0.0024, 0.0192, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 52.0, 30.0]), label=0.0, probability=DenseVector([0.2697, 0.0438, 0.0002, 0.0, 0.0906, 0.0, 0.4343, 0.0415, 0.0336, 0.0208, 0.0448, 0.0024, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 52.0, 33.0]), label=0.0, probability=DenseVector([0.2697, 0.0438, 0.0002, 0.0, 0.0906, 0.0, 0.4343, 0.0415, 0.0336, 0.0208, 0.0448, 0.0024, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.274, 0.0453, 0.0002, 0.0, 0.0929, 0.0, 0.4231, 0.0421, 0.0327, 0.0221, 0.0472, 0.002, 0.0184, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 52.0, 49.0]), label=9.0, probability=DenseVector([0.1435, 0.1231, 0.0436, 0.0147, 0.1103, 0.0002, 0.2484, 0.0386, 0.0762, 0.0669, 0.0714, 0.0127, 0.05, 0.0004]))
Row(prediction=6.0, features=DenseVector([17.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.2684, 0.0449, 0.0002, 0.0, 0.0921, 0.0, 0.4262, 0.0427, 0.0334, 0.0238, 0.0481, 0.002, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.2684, 0.0449, 0.0002, 0.0, 0.0921, 0.0, 0.4262, 0.0427, 0.0334, 0.0238, 0.0481, 0.002, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 53.0, 38.0]), label=0.0, probability=DenseVector([0.2684, 0.0449, 0.0002, 0.0, 0.0921, 0.0, 0.4262, 0.0427, 0.0334, 0.0238, 0.0481, 0.002, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.2639, 0.0574, 0.0005, 0.0002, 0.0914, 0.0, 0.406, 0.0472, 0.0367, 0.0262, 0.0483, 0.0021, 0.0201, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 53.0, 41.0]), label=6.0, probability=DenseVector([0.1778, 0.1268, 0.0254, 0.0055, 0.1077, 0.0, 0.2957, 0.0375, 0.0526, 0.0473, 0.074, 0.004, 0.0455, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 53.0, 42.0]), label=0.0, probability=DenseVector([0.1778, 0.1268, 0.0254, 0.0055, 0.1077, 0.0, 0.2957, 0.0375, 0.0526, 0.0473, 0.074, 0.004, 0.0455, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 53.0, 45.0]), label=6.0, probability=DenseVector([0.1502, 0.1347, 0.0315, 0.0128, 0.1096, 0.0002, 0.2495, 0.0383, 0.0682, 0.0653, 0.0786, 0.0087, 0.0521, 0.0003]))
Row(prediction=6.0, features=DenseVector([17.0, 54.0, 37.0]), label=0.0, probability=DenseVector([0.274, 0.0453, 0.0002, 0.0, 0.0929, 0.0, 0.4231, 0.0421, 0.0327, 0.0221, 0.0472, 0.002, 0.0184, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 54.0, 38.0]), label=0.0, probability=DenseVector([0.2684, 0.0449, 0.0002, 0.0, 0.0921, 0.0, 0.4262, 0.0427, 0.0334, 0.0238, 0.0481, 0.002, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 55.0, 41.0]), label=0.0, probability=DenseVector([0.1778, 0.1268, 0.0254, 0.0055, 0.1077, 0.0, 0.2957, 0.0375, 0.0526, 0.0473, 0.074, 0.004, 0.0455, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 56.0, 29.0]), label=6.0, probability=DenseVector([0.249, 0.0399, 0.0002, 0.0, 0.0775, 0.0, 0.4633, 0.0465, 0.0434, 0.0185, 0.04, 0.0024, 0.0192, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 56.0, 33.0]), label=6.0, probability=DenseVector([0.2697, 0.0438, 0.0002, 0.0, 0.0906, 0.0, 0.4343, 0.0415, 0.0336, 0.0208, 0.0448, 0.0024, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 56.0, 37.0]), label=6.0, probability=DenseVector([0.274, 0.0453, 0.0002, 0.0, 0.0929, 0.0, 0.4231, 0.0421, 0.0327, 0.0221, 0.0472, 0.002, 0.0184, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 56.0, 37.0]), label=0.0, probability=DenseVector([0.274, 0.0453, 0.0002, 0.0, 0.0929, 0.0, 0.4231, 0.0421, 0.0327, 0.0221, 0.0472, 0.002, 0.0184, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 61.0, 17.0]), label=6.0, probability=DenseVector([0.2144, 0.0327, 0.0002, 0.0, 0.0624, 0.0, 0.5482, 0.0387, 0.0366, 0.0136, 0.0352, 0.002, 0.0158, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 62.0, 32.0]), label=6.0, probability=DenseVector([0.2485, 0.0378, 0.0002, 0.0, 0.0776, 0.0, 0.4998, 0.0337, 0.0272, 0.0166, 0.0412, 0.0026, 0.0148, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 16.0, 42.0]), label=12.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 20.0, 43.0]), label=0.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 26.0, 22.0]), label=0.0, probability=DenseVector([0.1597, 0.3646, 0.0, 0.0, 0.0982, 0.0, 0.0345, 0.1598, 0.1135, 0.0069, 0.0157, 0.0002, 0.047, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 26.0]), label=0.0, probability=DenseVector([0.1943, 0.359, 0.0, 0.0, 0.0991, 0.0, 0.0295, 0.1419, 0.1016, 0.0131, 0.0158, 0.0002, 0.0453, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 31.0]), label=0.0, probability=DenseVector([0.197, 0.3608, 0.0, 0.0, 0.1385, 0.0, 0.026, 0.1355, 0.0671, 0.0051, 0.0256, 0.0007, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 43.0]), label=6.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 46.0]), label=11.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 47.0]), label=6.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 44.0]), label=0.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 48.0]), label=6.0, probability=DenseVector([0.056, 0.3789, 0.0033, 0.0654, 0.0127, 0.0006, 0.0548, 0.1225, 0.0916, 0.0184, 0.0083, 0.0073, 0.1801, 0.0001]))
Row(prediction=0.0, features=DenseVector([18.0, 31.0, 28.0]), label=0.0, probability=DenseVector([0.3866, 0.1466, 0.0, 0.0, 0.1734, 0.0, 0.0115, 0.099, 0.1111, 0.0075, 0.0448, 0.0, 0.0193, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4338, 0.118, 0.0, 0.0, 0.2684, 0.0, 0.0093, 0.0565, 0.036, 0.0017, 0.0588, 0.0, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 31.0, 35.0]), label=0.0, probability=DenseVector([0.4457, 0.1166, 0.0, 0.0, 0.2573, 0.0, 0.0091, 0.0548, 0.035, 0.0017, 0.0616, 0.0, 0.0181, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 47.0]), label=6.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 48.0]), label=3.0, probability=DenseVector([0.0705, 0.4239, 0.0034, 0.0355, 0.018, 0.0001, 0.0544, 0.1144, 0.0833, 0.0232, 0.0118, 0.0068, 0.1549, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.4947, 0.0727, 0.0, 0.0, 0.2159, 0.0, 0.0132, 0.0649, 0.0514, 0.0091, 0.0642, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 46.0]), label=9.0, probability=DenseVector([0.1103, 0.4588, 0.0013, 0.0126, 0.0304, 0.0002, 0.045, 0.1084, 0.0771, 0.0226, 0.021, 0.0049, 0.1073, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 51.0]), label=6.0, probability=DenseVector([0.0847, 0.4222, 0.0033, 0.0313, 0.0227, 0.0001, 0.0521, 0.1238, 0.0862, 0.0265, 0.0153, 0.0107, 0.1212, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 38.0]), label=6.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 44.0]), label=6.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 46.0]), label=0.0, probability=DenseVector([0.1263, 0.4438, 0.0017, 0.01, 0.034, 0.0002, 0.0449, 0.1134, 0.0865, 0.0294, 0.0244, 0.0048, 0.0807, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 46.0]), label=0.0, probability=DenseVector([0.1263, 0.4438, 0.0017, 0.01, 0.034, 0.0002, 0.0449, 0.1134, 0.0865, 0.0294, 0.0244, 0.0048, 0.0807, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 47.0]), label=9.0, probability=DenseVector([0.1046, 0.4207, 0.0018, 0.012, 0.0268, 0.0002, 0.0518, 0.1308, 0.0995, 0.0314, 0.0191, 0.0057, 0.0958, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 22.0]), label=0.0, probability=DenseVector([0.4947, 0.0727, 0.0, 0.0, 0.2159, 0.0, 0.0132, 0.0649, 0.0514, 0.0091, 0.0642, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 46.0]), label=0.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 47.0]), label=9.0, probability=DenseVector([0.107, 0.4179, 0.0018, 0.0116, 0.0276, 0.0002, 0.0512, 0.1332, 0.1013, 0.033, 0.0196, 0.0057, 0.0899, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 49.0]), label=6.0, probability=DenseVector([0.103, 0.3979, 0.0042, 0.0306, 0.0268, 0.0001, 0.0499, 0.1356, 0.0989, 0.0335, 0.0186, 0.0075, 0.0935, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.4947, 0.0727, 0.0, 0.0, 0.2159, 0.0, 0.0132, 0.0649, 0.0514, 0.0091, 0.0642, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 48.0]), label=6.0, probability=DenseVector([0.103, 0.3979, 0.0042, 0.0306, 0.0268, 0.0001, 0.0499, 0.1356, 0.0989, 0.0335, 0.0186, 0.0075, 0.0935, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=12.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 40.0]), label=12.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 44.0]), label=0.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 46.0]), label=9.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 46.0]), label=9.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 47.0]), label=9.0, probability=DenseVector([0.1118, 0.4168, 0.0022, 0.0109, 0.0287, 0.0002, 0.0547, 0.1211, 0.0983, 0.0394, 0.0205, 0.0058, 0.0896, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 43.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 43.0]), label=6.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 46.0]), label=0.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 47.0]), label=0.0, probability=DenseVector([0.1127, 0.4065, 0.0031, 0.0082, 0.0297, 0.0002, 0.0589, 0.1207, 0.1009, 0.0451, 0.0217, 0.0054, 0.0871, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.1089, 0.3928, 0.0051, 0.0249, 0.0292, 0.0001, 0.0591, 0.1186, 0.0969, 0.047, 0.0212, 0.0103, 0.0859, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 56.0]), label=6.0, probability=DenseVector([0.1051, 0.3688, 0.0101, 0.0197, 0.0309, 0.0025, 0.0604, 0.1119, 0.1058, 0.0631, 0.0201, 0.0172, 0.0844, 0.0001]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 25.0]), label=0.0, probability=DenseVector([0.4094, 0.0725, 0.0, 0.0, 0.1747, 0.0, 0.0289, 0.1032, 0.1231, 0.0095, 0.0553, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 25.0]), label=6.0, probability=DenseVector([0.4094, 0.0725, 0.0, 0.0, 0.1747, 0.0, 0.0289, 0.1032, 0.1231, 0.0095, 0.0553, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4495, 0.0794, 0.0, 0.0, 0.2059, 0.0, 0.0181, 0.0774, 0.0561, 0.014, 0.0806, 0.0, 0.0189, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 43.0]), label=6.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 44.0]), label=9.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 45.0]), label=6.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 46.0]), label=0.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 46.0]), label=6.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 48.0]), label=0.0, probability=DenseVector([0.118, 0.3738, 0.0055, 0.027, 0.0351, 0.0001, 0.0633, 0.1191, 0.0964, 0.0484, 0.0215, 0.0068, 0.0849, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 31.0]), label=6.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.4079, 0.0997, 0.0006, 0.0004, 0.1939, 0.0, 0.0295, 0.0805, 0.06, 0.0197, 0.0842, 0.0006, 0.023, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 40.0]), label=9.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 41.0]), label=6.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 42.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 43.0]), label=9.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 46.0]), label=9.0, probability=DenseVector([0.1279, 0.4038, 0.0166, 0.0101, 0.0393, 0.0002, 0.0531, 0.113, 0.0929, 0.0399, 0.03, 0.0059, 0.0669, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 46.0]), label=6.0, probability=DenseVector([0.1279, 0.4038, 0.0166, 0.0101, 0.0393, 0.0002, 0.0531, 0.113, 0.0929, 0.0399, 0.03, 0.0059, 0.0669, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 47.0]), label=9.0, probability=DenseVector([0.1318, 0.356, 0.0171, 0.0121, 0.0426, 0.0002, 0.0734, 0.1096, 0.0964, 0.0575, 0.0271, 0.0066, 0.0693, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 48.0]), label=9.0, probability=DenseVector([0.121, 0.3587, 0.0175, 0.0144, 0.04, 0.0002, 0.0697, 0.1157, 0.0975, 0.0519, 0.0264, 0.007, 0.0797, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 42.0]), label=0.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 47.0]), label=9.0, probability=DenseVector([0.1373, 0.3085, 0.0199, 0.0147, 0.0489, 0.0002, 0.0823, 0.1164, 0.1039, 0.0654, 0.0345, 0.0068, 0.0609, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 48.0]), label=0.0, probability=DenseVector([0.1265, 0.3112, 0.0204, 0.017, 0.0463, 0.0002, 0.0786, 0.1225, 0.105, 0.0598, 0.0337, 0.0072, 0.0713, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 29.0]), label=0.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 41.0]), label=6.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 42.0]), label=6.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 42.0]), label=6.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 44.0]), label=6.0, probability=DenseVector([0.1406, 0.2929, 0.0219, 0.0116, 0.0545, 0.0002, 0.0919, 0.1141, 0.0975, 0.0658, 0.0482, 0.0077, 0.0526, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 46.0]), label=9.0, probability=DenseVector([0.1352, 0.2888, 0.0221, 0.0124, 0.0533, 0.0002, 0.0943, 0.116, 0.0983, 0.0675, 0.0462, 0.0082, 0.0572, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 39.0]), label=0.0, probability=DenseVector([0.3629, 0.1157, 0.0009, 0.0005, 0.1731, 0.0, 0.0573, 0.0886, 0.0715, 0.0249, 0.0754, 0.0007, 0.0285, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 40.0]), label=6.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 42.0]), label=6.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 42.0]), label=9.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 42.0]), label=6.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 43.0]), label=6.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 45.0]), label=6.0, probability=DenseVector([0.1403, 0.284, 0.0233, 0.0118, 0.0555, 0.0002, 0.0961, 0.1149, 0.0967, 0.0682, 0.0468, 0.008, 0.0538, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 28.0]), label=6.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 29.0]), label=6.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 31.0]), label=6.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 31.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 32.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 32.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 33.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 35.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 37.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 37.0]), label=6.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 37.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 38.0]), label=6.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 40.0]), label=6.0, probability=DenseVector([0.2285, 0.2443, 0.0076, 0.0012, 0.096, 0.0, 0.0823, 0.0989, 0.0785, 0.0552, 0.0605, 0.0034, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 40.0]), label=6.0, probability=DenseVector([0.2285, 0.2443, 0.0076, 0.0012, 0.096, 0.0, 0.0823, 0.0989, 0.0785, 0.0552, 0.0605, 0.0034, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.1622, 0.2837, 0.0125, 0.0036, 0.0673, 0.0, 0.1154, 0.0965, 0.0785, 0.0653, 0.059, 0.0041, 0.0518, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 43.0]), label=6.0, probability=DenseVector([0.1572, 0.278, 0.0126, 0.0038, 0.0682, 0.0, 0.1209, 0.0972, 0.0786, 0.0672, 0.0605, 0.0045, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 46.0]), label=9.0, probability=DenseVector([0.1354, 0.2483, 0.0456, 0.0159, 0.0579, 0.0002, 0.1135, 0.1069, 0.0962, 0.0734, 0.0477, 0.0093, 0.0491, 0.0004]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 24.0]), label=6.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 29.0]), label=6.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 30.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 30.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 33.0]), label=6.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 34.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 36.0]), label=6.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 38.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.3629, 0.1157, 0.0009, 0.0005, 0.1731, 0.0, 0.0573, 0.0886, 0.0715, 0.0249, 0.0754, 0.0007, 0.0285, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 39.0]), label=0.0, probability=DenseVector([0.3629, 0.1157, 0.0009, 0.0005, 0.1731, 0.0, 0.0573, 0.0886, 0.0715, 0.0249, 0.0754, 0.0007, 0.0285, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.1576, 0.2013, 0.0286, 0.0061, 0.0852, 0.0, 0.2228, 0.059, 0.0652, 0.0613, 0.0587, 0.0039, 0.0501, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.1526, 0.1957, 0.0287, 0.0063, 0.0861, 0.0, 0.2283, 0.0597, 0.0652, 0.0633, 0.0602, 0.0043, 0.0494, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 47.0, 43.0]), label=0.0, probability=DenseVector([0.1503, 0.1959, 0.0357, 0.0099, 0.084, 0.0, 0.2228, 0.0591, 0.0651, 0.0628, 0.0598, 0.0043, 0.049, 0.0011]))
Row(prediction=6.0, features=DenseVector([18.0, 47.0, 44.0]), label=6.0, probability=DenseVector([0.1397, 0.1858, 0.0479, 0.0145, 0.0764, 0.0002, 0.1979, 0.0732, 0.0822, 0.0694, 0.0543, 0.0086, 0.0495, 0.0004]))
Row(prediction=6.0, features=DenseVector([18.0, 47.0, 47.0]), label=6.0, probability=DenseVector([0.1487, 0.1691, 0.047, 0.0161, 0.0814, 0.0002, 0.197, 0.0717, 0.0854, 0.0765, 0.0505, 0.0091, 0.0467, 0.0004]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 27.0]), label=0.0, probability=DenseVector([0.2149, 0.0386, 0.0005, 0.0001, 0.0612, 0.0, 0.5083, 0.062, 0.0628, 0.0191, 0.0142, 0.0005, 0.0177, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 29.0]), label=6.0, probability=DenseVector([0.2149, 0.0386, 0.0005, 0.0001, 0.0612, 0.0, 0.5083, 0.062, 0.0628, 0.0191, 0.0142, 0.0005, 0.0177, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 30.0]), label=6.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 30.0]), label=6.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 30.0]), label=6.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 30.0]), label=6.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 30.0]), label=0.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 31.0]), label=6.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 31.0]), label=6.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 31.0]), label=0.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 31.0]), label=0.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 33.0]), label=0.0, probability=DenseVector([0.2566, 0.057, 0.0008, 0.0001, 0.0888, 0.0, 0.4208, 0.0354, 0.0464, 0.033, 0.0384, 0.0005, 0.0223, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 33.0]), label=0.0, probability=DenseVector([0.2566, 0.057, 0.0008, 0.0001, 0.0888, 0.0, 0.4208, 0.0354, 0.0464, 0.033, 0.0384, 0.0005, 0.0223, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.2492, 0.0614, 0.001, 0.0001, 0.086, 0.0, 0.4244, 0.0344, 0.0418, 0.036, 0.0408, 0.0005, 0.0244, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.2507, 0.0673, 0.001, 0.0001, 0.0857, 0.0, 0.4104, 0.0353, 0.0424, 0.0403, 0.043, 0.0005, 0.0234, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.2507, 0.0673, 0.001, 0.0001, 0.0857, 0.0, 0.4104, 0.0353, 0.0424, 0.0403, 0.043, 0.0005, 0.0234, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 39.0]), label=0.0, probability=DenseVector([0.2284, 0.0819, 0.0013, 0.0003, 0.0877, 0.0, 0.3811, 0.0373, 0.0563, 0.0393, 0.0547, 0.0008, 0.031, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.2284, 0.0819, 0.0013, 0.0003, 0.0877, 0.0, 0.3811, 0.0373, 0.0563, 0.0393, 0.0547, 0.0008, 0.031, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.2004, 0.1529, 0.0082, 0.0014, 0.095, 0.0, 0.2853, 0.0458, 0.0532, 0.0531, 0.0562, 0.0024, 0.0461, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 41.0]), label=6.0, probability=DenseVector([0.1663, 0.1638, 0.0273, 0.0057, 0.0904, 0.0, 0.2799, 0.0446, 0.0574, 0.0547, 0.0593, 0.0039, 0.0465, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 24.0]), label=6.0, probability=DenseVector([0.2066, 0.048, 0.0005, 0.0001, 0.0554, 0.0, 0.539, 0.0503, 0.0482, 0.0201, 0.0135, 0.0005, 0.0177, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 25.0]), label=6.0, probability=DenseVector([0.2066, 0.048, 0.0005, 0.0001, 0.0554, 0.0, 0.539, 0.0503, 0.0482, 0.0201, 0.0135, 0.0005, 0.0177, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 26.0]), label=6.0, probability=DenseVector([0.2066, 0.048, 0.0005, 0.0001, 0.0554, 0.0, 0.539, 0.0503, 0.0482, 0.0201, 0.0135, 0.0005, 0.0177, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 28.0]), label=6.0, probability=DenseVector([0.2066, 0.048, 0.0005, 0.0001, 0.0554, 0.0, 0.539, 0.0503, 0.0482, 0.0201, 0.0135, 0.0005, 0.0177, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 28.0]), label=6.0, probability=DenseVector([0.2066, 0.048, 0.0005, 0.0001, 0.0554, 0.0, 0.539, 0.0503, 0.0482, 0.0201, 0.0135, 0.0005, 0.0177, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 28.0]), label=6.0, probability=DenseVector([0.2066, 0.048, 0.0005, 0.0001, 0.0554, 0.0, 0.539, 0.0503, 0.0482, 0.0201, 0.0135, 0.0005, 0.0177, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.2066, 0.048, 0.0005, 0.0001, 0.0554, 0.0, 0.539, 0.0503, 0.0482, 0.0201, 0.0135, 0.0005, 0.0177, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 30.0]), label=0.0, probability=DenseVector([0.2283, 0.0531, 0.0005, 0.0001, 0.0703, 0.0, 0.4909, 0.0461, 0.0475, 0.0215, 0.0238, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 30.0]), label=0.0, probability=DenseVector([0.2283, 0.0531, 0.0005, 0.0001, 0.0703, 0.0, 0.4909, 0.0461, 0.0475, 0.0215, 0.0238, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.2283, 0.0531, 0.0005, 0.0001, 0.0703, 0.0, 0.4909, 0.0461, 0.0475, 0.0215, 0.0238, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.2283, 0.0531, 0.0005, 0.0001, 0.0703, 0.0, 0.4909, 0.0461, 0.0475, 0.0215, 0.0238, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 31.0]), label=0.0, probability=DenseVector([0.2283, 0.0531, 0.0005, 0.0001, 0.0703, 0.0, 0.4909, 0.0461, 0.0475, 0.0215, 0.0238, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 31.0]), label=0.0, probability=DenseVector([0.2283, 0.0531, 0.0005, 0.0001, 0.0703, 0.0, 0.4909, 0.0461, 0.0475, 0.0215, 0.0238, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.2283, 0.0531, 0.0005, 0.0001, 0.0703, 0.0, 0.4909, 0.0461, 0.0475, 0.0215, 0.0238, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.2283, 0.0531, 0.0005, 0.0001, 0.0703, 0.0, 0.4909, 0.0461, 0.0475, 0.0215, 0.0238, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.2283, 0.0531, 0.0005, 0.0001, 0.0703, 0.0, 0.4909, 0.0461, 0.0475, 0.0215, 0.0238, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.2283, 0.0531, 0.0005, 0.0001, 0.0703, 0.0, 0.4909, 0.0461, 0.0475, 0.0215, 0.0238, 0.0005, 0.0173, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.2236, 0.0607, 0.0006, 0.0001, 0.0705, 0.0, 0.4789, 0.0389, 0.0445, 0.0296, 0.033, 0.0005, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 33.0]), label=0.0, probability=DenseVector([0.2236, 0.0607, 0.0006, 0.0001, 0.0705, 0.0, 0.4789, 0.0389, 0.0445, 0.0296, 0.033, 0.0005, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 34.0]), label=0.0, probability=DenseVector([0.2266, 0.0636, 0.0008, 0.0001, 0.0718, 0.0, 0.4685, 0.0371, 0.0419, 0.0326, 0.0354, 0.0005, 0.0212, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 35.0]), label=0.0, probability=DenseVector([0.228, 0.0696, 0.0008, 0.0001, 0.0715, 0.0, 0.4545, 0.0379, 0.0425, 0.0369, 0.0375, 0.0005, 0.0202, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 35.0]), label=0.0, probability=DenseVector([0.228, 0.0696, 0.0008, 0.0001, 0.0715, 0.0, 0.4545, 0.0379, 0.0425, 0.0369, 0.0375, 0.0005, 0.0202, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 35.0]), label=0.0, probability=DenseVector([0.228, 0.0696, 0.0008, 0.0001, 0.0715, 0.0, 0.4545, 0.0379, 0.0425, 0.0369, 0.0375, 0.0005, 0.0202, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 37.0]), label=0.0, probability=DenseVector([0.228, 0.0696, 0.0008, 0.0001, 0.0715, 0.0, 0.4545, 0.0379, 0.0425, 0.0369, 0.0375, 0.0005, 0.0202, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.228, 0.0696, 0.0008, 0.0001, 0.0715, 0.0, 0.4545, 0.0379, 0.0425, 0.0369, 0.0375, 0.0005, 0.0202, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.228, 0.0696, 0.0008, 0.0001, 0.0715, 0.0, 0.4545, 0.0379, 0.0425, 0.0369, 0.0375, 0.0005, 0.0202, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.228, 0.0696, 0.0008, 0.0001, 0.0715, 0.0, 0.4545, 0.0379, 0.0425, 0.0369, 0.0375, 0.0005, 0.0202, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 39.0]), label=0.0, probability=DenseVector([0.2076, 0.0801, 0.0011, 0.0003, 0.0712, 0.0, 0.4473, 0.0435, 0.0414, 0.0403, 0.0437, 0.0008, 0.0228, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 40.0]), label=0.0, probability=DenseVector([0.1923, 0.1091, 0.0076, 0.0017, 0.103, 0.0, 0.3537, 0.0361, 0.0473, 0.045, 0.0601, 0.0026, 0.0416, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.1923, 0.1091, 0.0076, 0.0017, 0.103, 0.0, 0.3537, 0.0361, 0.0473, 0.045, 0.0601, 0.0026, 0.0416, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.1923, 0.1091, 0.0076, 0.0017, 0.103, 0.0, 0.3537, 0.0361, 0.0473, 0.045, 0.0601, 0.0026, 0.0416, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 41.0]), label=0.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 25.0]), label=0.0, probability=DenseVector([0.2027, 0.0398, 0.0005, 0.0001, 0.0613, 0.0, 0.5529, 0.0402, 0.0358, 0.0214, 0.0292, 0.0012, 0.0149, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 27.0]), label=6.0, probability=DenseVector([0.2027, 0.0398, 0.0005, 0.0001, 0.0613, 0.0, 0.5529, 0.0402, 0.0358, 0.0214, 0.0292, 0.0012, 0.0149, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.2027, 0.0398, 0.0005, 0.0001, 0.0613, 0.0, 0.5529, 0.0402, 0.0358, 0.0214, 0.0292, 0.0012, 0.0149, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.2027, 0.0398, 0.0005, 0.0001, 0.0613, 0.0, 0.5529, 0.0402, 0.0358, 0.0214, 0.0292, 0.0012, 0.0149, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 30.0]), label=0.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 36.0]), label=0.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 40.0]), label=0.0, probability=DenseVector([0.1981, 0.0959, 0.0073, 0.0017, 0.102, 0.0, 0.3761, 0.0359, 0.0473, 0.039, 0.0588, 0.0028, 0.0351, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 40.0]), label=9.0, probability=DenseVector([0.1981, 0.0959, 0.0073, 0.0017, 0.102, 0.0, 0.3761, 0.0359, 0.0473, 0.039, 0.0588, 0.0028, 0.0351, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 42.0]), label=0.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 42.0]), label=6.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 26.0]), label=6.0, probability=DenseVector([0.2027, 0.0398, 0.0005, 0.0001, 0.0613, 0.0, 0.5529, 0.0402, 0.0358, 0.0214, 0.0292, 0.0012, 0.0149, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 31.0]), label=0.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 36.0]), label=0.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 38.0]), label=0.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 40.0]), label=9.0, probability=DenseVector([0.1981, 0.0959, 0.0073, 0.0017, 0.102, 0.0, 0.3761, 0.0359, 0.0473, 0.039, 0.0588, 0.0028, 0.0351, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 40.0]), label=9.0, probability=DenseVector([0.1981, 0.0959, 0.0073, 0.0017, 0.102, 0.0, 0.3761, 0.0359, 0.0473, 0.039, 0.0588, 0.0028, 0.0351, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 52.0, 27.0]), label=6.0, probability=DenseVector([0.2027, 0.0398, 0.0005, 0.0001, 0.0613, 0.0, 0.5529, 0.0402, 0.0358, 0.0214, 0.0292, 0.0012, 0.0149, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 52.0, 36.0]), label=0.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 52.0, 37.0]), label=0.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 53.0, 29.0]), label=0.0, probability=DenseVector([0.2027, 0.0398, 0.0005, 0.0001, 0.0613, 0.0, 0.5529, 0.0402, 0.0358, 0.0214, 0.0292, 0.0012, 0.0149, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 53.0, 44.0]), label=6.0, probability=DenseVector([0.1512, 0.1392, 0.0333, 0.0127, 0.0996, 0.0002, 0.2722, 0.0421, 0.0656, 0.0644, 0.0646, 0.0079, 0.0468, 0.0003]))
Row(prediction=6.0, features=DenseVector([18.0, 54.0, 30.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 54.0, 37.0]), label=0.0, probability=DenseVector([0.2394, 0.0469, 0.0005, 0.0001, 0.0742, 0.0, 0.4887, 0.0341, 0.0354, 0.024, 0.0424, 0.0012, 0.0131, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 54.0, 39.0]), label=0.0, probability=DenseVector([0.2263, 0.0569, 0.0008, 0.0003, 0.0733, 0.0, 0.4748, 0.0409, 0.0363, 0.0283, 0.046, 0.0013, 0.0147, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 55.0, 31.0]), label=0.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 55.0, 32.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.2394, 0.0469, 0.0005, 0.0001, 0.0742, 0.0, 0.4887, 0.0341, 0.0354, 0.024, 0.0424, 0.0012, 0.0131, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 55.0, 41.0]), label=6.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 56.0, 33.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 56.0, 33.0]), label=6.0, probability=DenseVector([0.2243, 0.0448, 0.0005, 0.0001, 0.0762, 0.0, 0.5048, 0.0361, 0.0351, 0.0228, 0.0395, 0.0012, 0.0145, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 56.0, 38.0]), label=0.0, probability=DenseVector([0.2222, 0.0455, 0.0005, 0.0001, 0.0742, 0.0, 0.5103, 0.0341, 0.0326, 0.0265, 0.0396, 0.0012, 0.0131, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 57.0, 37.0]), label=6.0, probability=DenseVector([0.2254, 0.0437, 0.0005, 0.0001, 0.073, 0.0, 0.5158, 0.0316, 0.0306, 0.0257, 0.0396, 0.0018, 0.0123, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 58.0, 27.0]), label=6.0, probability=DenseVector([0.1925, 0.0367, 0.0005, 0.0001, 0.058, 0.0, 0.5776, 0.0377, 0.0336, 0.02, 0.028, 0.0012, 0.0141, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 58.0, 40.0]), label=6.0, probability=DenseVector([0.2013, 0.094, 0.0073, 0.0017, 0.1008, 0.0, 0.3815, 0.0334, 0.0453, 0.0382, 0.0588, 0.0034, 0.0343, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 61.0, 35.0]), label=6.0, probability=DenseVector([0.2175, 0.0422, 0.0005, 0.0001, 0.0696, 0.0, 0.5341, 0.0299, 0.0298, 0.0246, 0.0384, 0.0016, 0.0119, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.1846, 0.0353, 0.0005, 0.0001, 0.0546, 0.0, 0.5959, 0.036, 0.0327, 0.0188, 0.0268, 0.001, 0.0137, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 16.0, 41.0]), label=6.0, probability=DenseVector([0.0874, 0.5678, 0.0012, 0.0093, 0.0232, 0.0002, 0.0426, 0.0719, 0.0504, 0.0123, 0.0171, 0.0021, 0.1143, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 20.0, 30.0]), label=12.0, probability=DenseVector([0.1718, 0.4155, 0.0, 0.0, 0.1117, 0.0, 0.0341, 0.1196, 0.069, 0.0051, 0.0248, 0.0007, 0.0479, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 24.0, 41.0]), label=6.0, probability=DenseVector([0.0884, 0.5584, 0.0014, 0.0106, 0.0245, 0.0009, 0.0435, 0.0735, 0.0531, 0.0152, 0.0168, 0.0024, 0.1113, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 29.0, 27.0]), label=0.0, probability=DenseVector([0.1927, 0.3411, 0.0, 0.0, 0.1469, 0.0, 0.0287, 0.1336, 0.0872, 0.012, 0.0158, 0.0002, 0.0417, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 30.0, 37.0]), label=6.0, probability=DenseVector([0.3891, 0.2103, 0.0, 0.0, 0.2006, 0.0, 0.0118, 0.0465, 0.0227, 0.0057, 0.0755, 0.0001, 0.0377, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 55.0]), label=6.0, probability=DenseVector([0.0402, 0.3485, 0.0017, 0.0757, 0.0098, 0.0005, 0.04, 0.1298, 0.0785, 0.0196, 0.0078, 0.0261, 0.2216, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 31.0, 30.0]), label=0.0, probability=DenseVector([0.4231, 0.12, 0.0, 0.0, 0.2654, 0.0, 0.0093, 0.0624, 0.0421, 0.0017, 0.0581, 0.0, 0.0178, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 31.0, 38.0]), label=0.0, probability=DenseVector([0.3564, 0.2559, 0.0, 0.0, 0.177, 0.0, 0.0132, 0.0434, 0.0228, 0.0058, 0.0723, 0.0001, 0.053, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 47.0]), label=6.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 47.0]), label=6.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 48.0]), label=3.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 32.0, 31.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 47.0]), label=0.0, probability=DenseVector([0.0636, 0.3773, 0.0018, 0.0462, 0.0168, 0.0009, 0.0461, 0.1181, 0.0897, 0.0213, 0.0102, 0.0075, 0.2006, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 50.0]), label=9.0, probability=DenseVector([0.0555, 0.3528, 0.0039, 0.0891, 0.014, 0.0006, 0.0438, 0.1185, 0.0843, 0.022, 0.0108, 0.015, 0.1894, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 50.0]), label=6.0, probability=DenseVector([0.0555, 0.3528, 0.0039, 0.0891, 0.014, 0.0006, 0.0438, 0.1185, 0.0843, 0.022, 0.0108, 0.015, 0.1894, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 33.0, 52.0]), label=6.0, probability=DenseVector([0.0498, 0.3479, 0.0071, 0.095, 0.0125, 0.0006, 0.0406, 0.1199, 0.0933, 0.0231, 0.0099, 0.0207, 0.1794, 0.0003]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 48.0]), label=3.0, probability=DenseVector([0.0599, 0.3442, 0.0041, 0.0749, 0.0149, 0.0001, 0.0416, 0.128, 0.0895, 0.0188, 0.0089, 0.0102, 0.2048, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 52.0]), label=11.0, probability=DenseVector([0.0565, 0.3451, 0.0168, 0.0655, 0.0152, 0.0048, 0.0448, 0.1195, 0.0993, 0.0281, 0.0113, 0.0201, 0.1732, 0.0002]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.0774, 0.3626, 0.0045, 0.0627, 0.0206, 0.0001, 0.0418, 0.1378, 0.0931, 0.0212, 0.0127, 0.0092, 0.1562, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.0774, 0.3626, 0.0045, 0.0627, 0.0206, 0.0001, 0.0418, 0.1378, 0.0931, 0.0212, 0.0127, 0.0092, 0.1562, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 49.0]), label=0.0, probability=DenseVector([0.0774, 0.3626, 0.0045, 0.0627, 0.0206, 0.0001, 0.0418, 0.1378, 0.0931, 0.0212, 0.0127, 0.0092, 0.1562, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 49.0]), label=11.0, probability=DenseVector([0.0774, 0.3626, 0.0045, 0.0627, 0.0206, 0.0001, 0.0418, 0.1378, 0.0931, 0.0212, 0.0127, 0.0092, 0.1562, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 50.0]), label=9.0, probability=DenseVector([0.0783, 0.3787, 0.004, 0.0554, 0.0209, 0.0001, 0.0463, 0.1326, 0.0904, 0.0241, 0.0153, 0.0138, 0.1401, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 54.0]), label=6.0, probability=DenseVector([0.0741, 0.3715, 0.0096, 0.0477, 0.0212, 0.0008, 0.0462, 0.1282, 0.0975, 0.0319, 0.0153, 0.0245, 0.1312, 0.0004]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 41.0]), label=6.0, probability=DenseVector([0.1378, 0.4547, 0.0018, 0.01, 0.037, 0.0002, 0.0373, 0.11, 0.083, 0.023, 0.027, 0.0039, 0.0742, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 47.0]), label=6.0, probability=DenseVector([0.1062, 0.3956, 0.0031, 0.0212, 0.0276, 0.0002, 0.0484, 0.1418, 0.1061, 0.0309, 0.0176, 0.0066, 0.0947, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 46.0]), label=0.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 46.0]), label=9.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 47.0]), label=9.0, probability=DenseVector([0.1086, 0.3928, 0.0031, 0.0208, 0.0284, 0.0002, 0.0479, 0.1443, 0.108, 0.0324, 0.0182, 0.0065, 0.0889, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 48.0]), label=9.0, probability=DenseVector([0.1015, 0.3633, 0.0055, 0.0486, 0.0265, 0.0001, 0.0457, 0.1495, 0.1054, 0.0322, 0.0167, 0.0083, 0.0967, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 39.0]), label=6.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 46.0]), label=6.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 47.0]), label=9.0, probability=DenseVector([0.1086, 0.3928, 0.0031, 0.0208, 0.0284, 0.0002, 0.0479, 0.1443, 0.108, 0.0324, 0.0182, 0.0065, 0.0889, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 48.0]), label=0.0, probability=DenseVector([0.1015, 0.3633, 0.0055, 0.0486, 0.0265, 0.0001, 0.0457, 0.1495, 0.1054, 0.0322, 0.0167, 0.0083, 0.0967, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.1403, 0.4519, 0.0018, 0.0097, 0.0378, 0.0002, 0.0368, 0.1125, 0.0849, 0.0246, 0.0275, 0.0039, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 44.0]), label=0.0, probability=DenseVector([0.1379, 0.445, 0.0019, 0.0099, 0.0375, 0.0002, 0.0399, 0.1129, 0.0873, 0.0264, 0.0273, 0.0041, 0.0698, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 46.0]), label=9.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 46.0]), label=6.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 47.0]), label=6.0, probability=DenseVector([0.1134, 0.3917, 0.0036, 0.02, 0.0295, 0.0002, 0.0513, 0.1322, 0.1049, 0.0388, 0.0191, 0.0067, 0.0886, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 49.0]), label=6.0, probability=DenseVector([0.1063, 0.3622, 0.0059, 0.0479, 0.0276, 0.0001, 0.0492, 0.1374, 0.1024, 0.0386, 0.0176, 0.0085, 0.0964, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4352, 0.0788, 0.0001, 0.0, 0.2071, 0.0, 0.0206, 0.0762, 0.0551, 0.0141, 0.0936, 0.0, 0.0192, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 44.0]), label=0.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 44.0]), label=0.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 46.0]), label=6.0, probability=DenseVector([0.1281, 0.4234, 0.0031, 0.0079, 0.0359, 0.0002, 0.0494, 0.118, 0.0928, 0.0371, 0.0253, 0.0044, 0.0745, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 47.0]), label=6.0, probability=DenseVector([0.1143, 0.3813, 0.0045, 0.0174, 0.0305, 0.0002, 0.0555, 0.1318, 0.1075, 0.0446, 0.0202, 0.0062, 0.0861, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 48.0]), label=0.0, probability=DenseVector([0.1072, 0.3519, 0.0068, 0.0452, 0.0286, 0.0001, 0.0534, 0.137, 0.1049, 0.0443, 0.0187, 0.008, 0.0939, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 48.0]), label=9.0, probability=DenseVector([0.1072, 0.3519, 0.0068, 0.0452, 0.0286, 0.0001, 0.0534, 0.137, 0.1049, 0.0443, 0.0187, 0.008, 0.0939, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 52.0]), label=9.0, probability=DenseVector([0.1051, 0.3605, 0.0137, 0.0302, 0.0285, 0.0, 0.056, 0.1169, 0.103, 0.0532, 0.0207, 0.0233, 0.089, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 63.0]), label=3.0, probability=DenseVector([0.1037, 0.3564, 0.0104, 0.0282, 0.0303, 0.0025, 0.0563, 0.1142, 0.1058, 0.0621, 0.0213, 0.019, 0.0896, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 48.0]), label=6.0, probability=DenseVector([0.1072, 0.3519, 0.0068, 0.0452, 0.0286, 0.0001, 0.0534, 0.137, 0.1049, 0.0443, 0.0187, 0.008, 0.0939, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 48.0]), label=6.0, probability=DenseVector([0.1072, 0.3519, 0.0068, 0.0452, 0.0286, 0.0001, 0.0534, 0.137, 0.1049, 0.0443, 0.0187, 0.008, 0.0939, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 48.0]), label=6.0, probability=DenseVector([0.1072, 0.3519, 0.0068, 0.0452, 0.0286, 0.0001, 0.0534, 0.137, 0.1049, 0.0443, 0.0187, 0.008, 0.0939, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 56.0]), label=0.0, probability=DenseVector([0.1037, 0.3564, 0.0104, 0.0282, 0.0303, 0.0025, 0.0563, 0.1142, 0.1058, 0.0621, 0.0213, 0.019, 0.0896, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 28.0]), label=6.0, probability=DenseVector([0.3582, 0.0695, 0.0001, 0.0, 0.1626, 0.0, 0.0408, 0.1157, 0.1498, 0.0087, 0.0657, 0.0, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4271, 0.0689, 0.0001, 0.0, 0.2123, 0.0, 0.0262, 0.0713, 0.0591, 0.0151, 0.0975, 0.0, 0.0224, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 38.0]), label=6.0, probability=DenseVector([0.4271, 0.0689, 0.0001, 0.0, 0.2123, 0.0, 0.0262, 0.0713, 0.0591, 0.0151, 0.0975, 0.0, 0.0224, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 38.0]), label=6.0, probability=DenseVector([0.4271, 0.0689, 0.0001, 0.0, 0.2123, 0.0, 0.0262, 0.0713, 0.0591, 0.0151, 0.0975, 0.0, 0.0224, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4271, 0.0689, 0.0001, 0.0, 0.2123, 0.0, 0.0262, 0.0713, 0.0591, 0.0151, 0.0975, 0.0, 0.0224, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4271, 0.0689, 0.0001, 0.0, 0.2123, 0.0, 0.0262, 0.0713, 0.0591, 0.0151, 0.0975, 0.0, 0.0224, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 39.0]), label=6.0, probability=DenseVector([0.3935, 0.099, 0.0007, 0.0004, 0.1952, 0.0, 0.032, 0.0793, 0.059, 0.0198, 0.0972, 0.0005, 0.0233, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 43.0]), label=9.0, probability=DenseVector([0.1441, 0.431, 0.0028, 0.0034, 0.0449, 0.0, 0.0468, 0.1117, 0.0806, 0.0328, 0.0387, 0.0029, 0.0603, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 46.0]), label=1.0, probability=DenseVector([0.1263, 0.3966, 0.0171, 0.0111, 0.0394, 0.0002, 0.054, 0.1156, 0.0948, 0.0404, 0.0292, 0.006, 0.0691, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 47.0]), label=6.0, probability=DenseVector([0.1241, 0.3435, 0.0185, 0.0214, 0.0372, 0.0002, 0.0643, 0.1247, 0.105, 0.0542, 0.0248, 0.0077, 0.0741, 0.0003]))
Row(prediction=0.0, features=DenseVector([19.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4084, 0.0701, 0.0001, 0.0, 0.2094, 0.0, 0.0313, 0.0744, 0.0656, 0.0166, 0.0991, 0.0, 0.0251, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4084, 0.0701, 0.0001, 0.0, 0.2094, 0.0, 0.0313, 0.0744, 0.0656, 0.0166, 0.0991, 0.0, 0.0251, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 40.0]), label=0.0, probability=DenseVector([0.2134, 0.2763, 0.0017, 0.0014, 0.1, 0.0, 0.0447, 0.1219, 0.0828, 0.0346, 0.0798, 0.0025, 0.0409, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 41.0]), label=0.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 42.0]), label=0.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 42.0]), label=6.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 45.0]), label=6.0, probability=DenseVector([0.1336, 0.3352, 0.0197, 0.0122, 0.0473, 0.0002, 0.0685, 0.1236, 0.1033, 0.0529, 0.0413, 0.0061, 0.0559, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 53.0]), label=9.0, probability=DenseVector([0.1125, 0.3262, 0.0157, 0.0247, 0.0369, 0.0, 0.0688, 0.1175, 0.1067, 0.0614, 0.0301, 0.0231, 0.0764, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 25.0]), label=6.0, probability=DenseVector([0.2947, 0.0666, 0.0001, 0.0, 0.1274, 0.0, 0.0537, 0.154, 0.2117, 0.0088, 0.0492, 0.0, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 27.0]), label=0.0, probability=DenseVector([0.2947, 0.0666, 0.0001, 0.0, 0.1274, 0.0, 0.0537, 0.154, 0.2117, 0.0088, 0.0492, 0.0, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 30.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 36.0]), label=6.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 37.0]), label=9.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.3485, 0.1151, 0.001, 0.0005, 0.1744, 0.0, 0.0598, 0.0874, 0.0705, 0.025, 0.0884, 0.0007, 0.0288, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 41.0]), label=9.0, probability=DenseVector([0.1612, 0.3153, 0.0119, 0.0054, 0.0609, 0.0, 0.089, 0.114, 0.0799, 0.0538, 0.0567, 0.0044, 0.0476, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 42.0]), label=9.0, probability=DenseVector([0.1612, 0.3153, 0.0119, 0.0054, 0.0609, 0.0, 0.089, 0.114, 0.0799, 0.0538, 0.0567, 0.0044, 0.0476, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 42.0]), label=6.0, probability=DenseVector([0.1612, 0.3153, 0.0119, 0.0054, 0.0609, 0.0, 0.089, 0.114, 0.0799, 0.0538, 0.0567, 0.0044, 0.0476, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 46.0]), label=0.0, probability=DenseVector([0.1442, 0.2743, 0.0266, 0.0146, 0.0512, 0.0002, 0.0907, 0.129, 0.1029, 0.0638, 0.0404, 0.0077, 0.0541, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 63.0]), label=12.0, probability=DenseVector([0.1272, 0.2653, 0.019, 0.0244, 0.0439, 0.0025, 0.089, 0.1182, 0.1084, 0.0796, 0.0318, 0.0199, 0.0707, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 27.0]), label=6.0, probability=DenseVector([0.2947, 0.0666, 0.0001, 0.0, 0.1274, 0.0, 0.0537, 0.154, 0.2117, 0.0088, 0.0492, 0.0, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 38.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 38.0]), label=6.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 39.0]), label=0.0, probability=DenseVector([0.3485, 0.1151, 0.001, 0.0005, 0.1744, 0.0, 0.0598, 0.0874, 0.0705, 0.025, 0.0884, 0.0007, 0.0288, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 40.0]), label=6.0, probability=DenseVector([0.214, 0.2435, 0.0094, 0.003, 0.0977, 0.0, 0.0735, 0.1165, 0.0787, 0.0462, 0.0741, 0.0038, 0.0397, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 44.0]), label=9.0, probability=DenseVector([0.1493, 0.2695, 0.0278, 0.014, 0.0534, 0.0002, 0.0925, 0.1279, 0.1014, 0.0645, 0.041, 0.0075, 0.0508, 0.0003]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 27.0]), label=6.0, probability=DenseVector([0.2947, 0.0666, 0.0001, 0.0, 0.1274, 0.0, 0.0537, 0.154, 0.2117, 0.0088, 0.0492, 0.0, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 27.0]), label=6.0, probability=DenseVector([0.2947, 0.0666, 0.0001, 0.0, 0.1274, 0.0, 0.0537, 0.154, 0.2117, 0.0088, 0.0492, 0.0, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 28.0]), label=6.0, probability=DenseVector([0.2947, 0.0666, 0.0001, 0.0, 0.1274, 0.0, 0.0537, 0.154, 0.2117, 0.0088, 0.0492, 0.0, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 29.0]), label=6.0, probability=DenseVector([0.2947, 0.0666, 0.0001, 0.0, 0.1274, 0.0, 0.0537, 0.154, 0.2117, 0.0088, 0.0492, 0.0, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 29.0]), label=6.0, probability=DenseVector([0.2947, 0.0666, 0.0001, 0.0, 0.1274, 0.0, 0.0537, 0.154, 0.2117, 0.0088, 0.0492, 0.0, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 30.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 30.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 30.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 31.0]), label=6.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 31.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 31.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 32.0]), label=6.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 32.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 32.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 33.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 36.0]), label=6.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 37.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 37.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 37.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 39.0]), label=0.0, probability=DenseVector([0.3485, 0.1151, 0.001, 0.0005, 0.1744, 0.0, 0.0598, 0.0874, 0.0705, 0.025, 0.0884, 0.0007, 0.0288, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 40.0]), label=9.0, probability=DenseVector([0.2241, 0.2324, 0.011, 0.003, 0.0964, 0.0, 0.085, 0.1041, 0.0789, 0.0512, 0.0687, 0.0035, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.1723, 0.2724, 0.0158, 0.0054, 0.0665, 0.0, 0.1156, 0.103, 0.0799, 0.0612, 0.0542, 0.0042, 0.0496, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 43.0]), label=0.0, probability=DenseVector([0.1673, 0.2667, 0.0159, 0.0056, 0.0674, 0.0, 0.1211, 0.1037, 0.08, 0.0631, 0.0558, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 44.0]), label=11.0, probability=DenseVector([0.1444, 0.2338, 0.0501, 0.0181, 0.0559, 0.0002, 0.1099, 0.1198, 0.1009, 0.0697, 0.0419, 0.0089, 0.0461, 0.0004]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 44.0]), label=0.0, probability=DenseVector([0.1444, 0.2338, 0.0501, 0.0181, 0.0559, 0.0002, 0.1099, 0.1198, 0.1009, 0.0697, 0.0419, 0.0089, 0.0461, 0.0004]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 50.0]), label=6.0, probability=DenseVector([0.1278, 0.226, 0.0494, 0.0224, 0.0554, 0.0002, 0.114, 0.117, 0.1043, 0.0665, 0.0437, 0.0157, 0.0573, 0.0004]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 23.0]), label=6.0, probability=DenseVector([0.2947, 0.0666, 0.0001, 0.0, 0.1274, 0.0, 0.0537, 0.154, 0.2117, 0.0088, 0.0492, 0.0, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 27.0]), label=0.0, probability=DenseVector([0.2947, 0.0666, 0.0001, 0.0, 0.1274, 0.0, 0.0537, 0.154, 0.2117, 0.0088, 0.0492, 0.0, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 28.0]), label=6.0, probability=DenseVector([0.2947, 0.0666, 0.0001, 0.0, 0.1274, 0.0, 0.0537, 0.154, 0.2117, 0.0088, 0.0492, 0.0, 0.0337, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 30.0]), label=6.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 30.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 31.0]), label=6.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 32.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 32.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 34.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 37.0]), label=6.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 39.0]), label=0.0, probability=DenseVector([0.3485, 0.1151, 0.001, 0.0005, 0.1744, 0.0, 0.0598, 0.0874, 0.0705, 0.025, 0.0884, 0.0007, 0.0288, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 39.0]), label=0.0, probability=DenseVector([0.3485, 0.1151, 0.001, 0.0005, 0.1744, 0.0, 0.0598, 0.0874, 0.0705, 0.025, 0.0884, 0.0007, 0.0288, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 40.0]), label=6.0, probability=DenseVector([0.2207, 0.1926, 0.0092, 0.0017, 0.1133, 0.0, 0.1452, 0.0737, 0.0684, 0.0514, 0.076, 0.0024, 0.0453, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.1576, 0.2013, 0.0286, 0.0061, 0.0852, 0.0, 0.2228, 0.059, 0.0652, 0.0613, 0.0587, 0.0039, 0.0501, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 47.0, 46.0]), label=9.0, probability=DenseVector([0.1386, 0.1826, 0.0491, 0.015, 0.0752, 0.0002, 0.1941, 0.0797, 0.0855, 0.0699, 0.0533, 0.008, 0.0486, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 30.0]), label=6.0, probability=DenseVector([0.245, 0.0487, 0.0019, 0.0017, 0.0829, 0.0, 0.4608, 0.0392, 0.047, 0.0255, 0.0284, 0.001, 0.018, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 31.0]), label=6.0, probability=DenseVector([0.245, 0.0487, 0.0019, 0.0017, 0.0829, 0.0, 0.4608, 0.0392, 0.047, 0.0255, 0.0284, 0.001, 0.018, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 31.0]), label=0.0, probability=DenseVector([0.245, 0.0487, 0.0019, 0.0017, 0.0829, 0.0, 0.4608, 0.0392, 0.047, 0.0255, 0.0284, 0.001, 0.018, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 31.0]), label=0.0, probability=DenseVector([0.245, 0.0487, 0.0019, 0.0017, 0.0829, 0.0, 0.4608, 0.0392, 0.047, 0.0255, 0.0284, 0.001, 0.018, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.2478, 0.0562, 0.002, 0.0017, 0.0868, 0.0, 0.43, 0.0339, 0.0464, 0.034, 0.0375, 0.001, 0.0225, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.2478, 0.0562, 0.002, 0.0017, 0.0868, 0.0, 0.43, 0.0339, 0.0464, 0.034, 0.0375, 0.001, 0.0225, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.2478, 0.0562, 0.002, 0.0017, 0.0868, 0.0, 0.43, 0.0339, 0.0464, 0.034, 0.0375, 0.001, 0.0225, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 33.0]), label=0.0, probability=DenseVector([0.2478, 0.0562, 0.002, 0.0017, 0.0868, 0.0, 0.43, 0.0339, 0.0464, 0.034, 0.0375, 0.001, 0.0225, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 33.0]), label=0.0, probability=DenseVector([0.2478, 0.0562, 0.002, 0.0017, 0.0868, 0.0, 0.43, 0.0339, 0.0464, 0.034, 0.0375, 0.001, 0.0225, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 33.0]), label=0.0, probability=DenseVector([0.2478, 0.0562, 0.002, 0.0017, 0.0868, 0.0, 0.43, 0.0339, 0.0464, 0.034, 0.0375, 0.001, 0.0225, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.2405, 0.0606, 0.0021, 0.0017, 0.0841, 0.0, 0.4336, 0.0329, 0.0418, 0.037, 0.04, 0.001, 0.0247, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.2405, 0.0606, 0.0021, 0.0017, 0.0841, 0.0, 0.4336, 0.0329, 0.0418, 0.037, 0.04, 0.001, 0.0247, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.2405, 0.0606, 0.0021, 0.0017, 0.0841, 0.0, 0.4336, 0.0329, 0.0418, 0.037, 0.04, 0.001, 0.0247, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.2419, 0.0665, 0.0021, 0.0017, 0.0838, 0.0, 0.4196, 0.0338, 0.0425, 0.0413, 0.0421, 0.001, 0.0237, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 35.0]), label=6.0, probability=DenseVector([0.2419, 0.0665, 0.0021, 0.0017, 0.0838, 0.0, 0.4196, 0.0338, 0.0425, 0.0413, 0.0421, 0.001, 0.0237, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 36.0]), label=9.0, probability=DenseVector([0.2419, 0.0665, 0.0021, 0.0017, 0.0838, 0.0, 0.4196, 0.0338, 0.0425, 0.0413, 0.0421, 0.001, 0.0237, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 36.0]), label=6.0, probability=DenseVector([0.2419, 0.0665, 0.0021, 0.0017, 0.0838, 0.0, 0.4196, 0.0338, 0.0425, 0.0413, 0.0421, 0.001, 0.0237, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 36.0]), label=6.0, probability=DenseVector([0.2419, 0.0665, 0.0021, 0.0017, 0.0838, 0.0, 0.4196, 0.0338, 0.0425, 0.0413, 0.0421, 0.001, 0.0237, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.2419, 0.0665, 0.0021, 0.0017, 0.0838, 0.0, 0.4196, 0.0338, 0.0425, 0.0413, 0.0421, 0.001, 0.0237, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 42.0]), label=11.0, probability=DenseVector([0.1613, 0.1582, 0.0274, 0.0059, 0.0913, 0.0, 0.2854, 0.0453, 0.0574, 0.0567, 0.0608, 0.0043, 0.0459, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 47.0]), label=0.0, probability=DenseVector([0.1514, 0.1356, 0.0478, 0.0165, 0.0872, 0.0002, 0.2422, 0.0629, 0.0818, 0.0702, 0.0506, 0.0097, 0.0436, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 28.0]), label=0.0, probability=DenseVector([0.1904, 0.0474, 0.0017, 0.0017, 0.0497, 0.0, 0.5669, 0.0469, 0.0458, 0.0206, 0.0126, 0.001, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.1904, 0.0474, 0.0017, 0.0017, 0.0497, 0.0, 0.5669, 0.0469, 0.0458, 0.0206, 0.0126, 0.001, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.1904, 0.0474, 0.0017, 0.0017, 0.0497, 0.0, 0.5669, 0.0469, 0.0458, 0.0206, 0.0126, 0.001, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.1904, 0.0474, 0.0017, 0.0017, 0.0497, 0.0, 0.5669, 0.0469, 0.0458, 0.0206, 0.0126, 0.001, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.1904, 0.0474, 0.0017, 0.0017, 0.0497, 0.0, 0.5669, 0.0469, 0.0458, 0.0206, 0.0126, 0.001, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.212, 0.0524, 0.0017, 0.0017, 0.0646, 0.0, 0.5189, 0.0428, 0.0451, 0.0221, 0.023, 0.001, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.212, 0.0524, 0.0017, 0.0017, 0.0646, 0.0, 0.5189, 0.0428, 0.0451, 0.0221, 0.023, 0.001, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 30.0]), label=0.0, probability=DenseVector([0.212, 0.0524, 0.0017, 0.0017, 0.0646, 0.0, 0.5189, 0.0428, 0.0451, 0.0221, 0.023, 0.001, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.212, 0.0524, 0.0017, 0.0017, 0.0646, 0.0, 0.5189, 0.0428, 0.0451, 0.0221, 0.023, 0.001, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.212, 0.0524, 0.0017, 0.0017, 0.0646, 0.0, 0.5189, 0.0428, 0.0451, 0.0221, 0.023, 0.001, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.212, 0.0524, 0.0017, 0.0017, 0.0646, 0.0, 0.5189, 0.0428, 0.0451, 0.0221, 0.023, 0.001, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.212, 0.0524, 0.0017, 0.0017, 0.0646, 0.0, 0.5189, 0.0428, 0.0451, 0.0221, 0.023, 0.001, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.212, 0.0524, 0.0017, 0.0017, 0.0646, 0.0, 0.5189, 0.0428, 0.0451, 0.0221, 0.023, 0.001, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 32.0]), label=0.0, probability=DenseVector([0.212, 0.0524, 0.0017, 0.0017, 0.0646, 0.0, 0.5189, 0.0428, 0.0451, 0.0221, 0.023, 0.001, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 33.0]), label=0.0, probability=DenseVector([0.2149, 0.0599, 0.0018, 0.0017, 0.0686, 0.0, 0.4881, 0.0374, 0.0446, 0.0306, 0.0321, 0.001, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.2149, 0.0599, 0.0018, 0.0017, 0.0686, 0.0, 0.4881, 0.0374, 0.0446, 0.0306, 0.0321, 0.001, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.2149, 0.0599, 0.0018, 0.0017, 0.0686, 0.0, 0.4881, 0.0374, 0.0446, 0.0306, 0.0321, 0.001, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 33.0]), label=0.0, probability=DenseVector([0.2149, 0.0599, 0.0018, 0.0017, 0.0686, 0.0, 0.4881, 0.0374, 0.0446, 0.0306, 0.0321, 0.001, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 33.0]), label=0.0, probability=DenseVector([0.2149, 0.0599, 0.0018, 0.0017, 0.0686, 0.0, 0.4881, 0.0374, 0.0446, 0.0306, 0.0321, 0.001, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 34.0]), label=0.0, probability=DenseVector([0.2178, 0.0628, 0.0019, 0.0017, 0.0699, 0.0, 0.4777, 0.0355, 0.042, 0.0336, 0.0345, 0.001, 0.0215, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 34.0]), label=0.0, probability=DenseVector([0.2178, 0.0628, 0.0019, 0.0017, 0.0699, 0.0, 0.4777, 0.0355, 0.042, 0.0336, 0.0345, 0.001, 0.0215, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.2178, 0.0628, 0.0019, 0.0017, 0.0699, 0.0, 0.4777, 0.0355, 0.042, 0.0336, 0.0345, 0.001, 0.0215, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.2193, 0.0687, 0.0019, 0.0017, 0.0696, 0.0, 0.4637, 0.0364, 0.0426, 0.0379, 0.0367, 0.001, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 37.0]), label=0.0, probability=DenseVector([0.2193, 0.0687, 0.0019, 0.0017, 0.0696, 0.0, 0.4637, 0.0364, 0.0426, 0.0379, 0.0367, 0.001, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 38.0]), label=0.0, probability=DenseVector([0.2193, 0.0687, 0.0019, 0.0017, 0.0696, 0.0, 0.4637, 0.0364, 0.0426, 0.0379, 0.0367, 0.001, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 38.0]), label=0.0, probability=DenseVector([0.2193, 0.0687, 0.0019, 0.0017, 0.0696, 0.0, 0.4637, 0.0364, 0.0426, 0.0379, 0.0367, 0.001, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.1988, 0.0793, 0.0023, 0.0019, 0.0693, 0.0, 0.4565, 0.0419, 0.0415, 0.0413, 0.0429, 0.0012, 0.0231, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.16, 0.1343, 0.0338, 0.0096, 0.1003, 0.0, 0.3087, 0.0387, 0.0546, 0.0486, 0.0621, 0.0042, 0.0439, 0.0011]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.16, 0.1343, 0.0338, 0.0096, 0.1003, 0.0, 0.3087, 0.0387, 0.0546, 0.0486, 0.0621, 0.0042, 0.0439, 0.0011]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.16, 0.1343, 0.0338, 0.0096, 0.1003, 0.0, 0.3087, 0.0387, 0.0546, 0.0486, 0.0621, 0.0042, 0.0439, 0.0011]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.16, 0.1343, 0.0338, 0.0096, 0.1003, 0.0, 0.3087, 0.0387, 0.0546, 0.0486, 0.0621, 0.0042, 0.0439, 0.0011]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.16, 0.1343, 0.0338, 0.0096, 0.1003, 0.0, 0.3087, 0.0387, 0.0546, 0.0486, 0.0621, 0.0042, 0.0439, 0.0011]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.1479, 0.1374, 0.0475, 0.0139, 0.0944, 0.0002, 0.2635, 0.0513, 0.0714, 0.0593, 0.0588, 0.0085, 0.0455, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 46.0]), label=6.0, probability=DenseVector([0.1421, 0.1371, 0.0473, 0.0146, 0.0973, 0.0002, 0.2587, 0.051, 0.0747, 0.0609, 0.0595, 0.0091, 0.047, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 18.0]), label=0.0, probability=DenseVector([0.1939, 0.039, 0.0017, 0.0017, 0.0594, 0.0, 0.5621, 0.0387, 0.0359, 0.0224, 0.0283, 0.0017, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.1939, 0.039, 0.0017, 0.0017, 0.0594, 0.0, 0.5621, 0.0387, 0.0359, 0.0224, 0.0283, 0.0017, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.1939, 0.039, 0.0017, 0.0017, 0.0594, 0.0, 0.5621, 0.0387, 0.0359, 0.0224, 0.0283, 0.0017, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.1939, 0.039, 0.0017, 0.0017, 0.0594, 0.0, 0.5621, 0.0387, 0.0359, 0.0224, 0.0283, 0.0017, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 34.0]), label=0.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 35.0]), label=0.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 37.0]), label=0.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 38.0]), label=0.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 42.0]), label=0.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 43.0]), label=6.0, probability=DenseVector([0.16, 0.1343, 0.0338, 0.0096, 0.1003, 0.0, 0.3087, 0.0387, 0.0546, 0.0486, 0.0621, 0.0042, 0.0439, 0.0011]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 27.0]), label=6.0, probability=DenseVector([0.1939, 0.039, 0.0017, 0.0017, 0.0594, 0.0, 0.5621, 0.0387, 0.0359, 0.0224, 0.0283, 0.0017, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.1939, 0.039, 0.0017, 0.0017, 0.0594, 0.0, 0.5621, 0.0387, 0.0359, 0.0224, 0.0283, 0.0017, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.1939, 0.039, 0.0017, 0.0017, 0.0594, 0.0, 0.5621, 0.0387, 0.0359, 0.0224, 0.0283, 0.0017, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 36.0]), label=0.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 45.0]), label=6.0, probability=DenseVector([0.1421, 0.1371, 0.0473, 0.0146, 0.0973, 0.0002, 0.2587, 0.051, 0.0747, 0.0609, 0.0595, 0.0091, 0.047, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 46.0]), label=6.0, probability=DenseVector([0.1421, 0.1371, 0.0473, 0.0146, 0.0973, 0.0002, 0.2587, 0.051, 0.0747, 0.0609, 0.0595, 0.0091, 0.047, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 52.0, 28.0]), label=0.0, probability=DenseVector([0.1939, 0.039, 0.0017, 0.0017, 0.0594, 0.0, 0.5621, 0.0387, 0.0359, 0.0224, 0.0283, 0.0017, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.1939, 0.039, 0.0017, 0.0017, 0.0594, 0.0, 0.5621, 0.0387, 0.0359, 0.0224, 0.0283, 0.0017, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 52.0, 44.0]), label=6.0, probability=DenseVector([0.1479, 0.1374, 0.0475, 0.0139, 0.0944, 0.0002, 0.2635, 0.0513, 0.0714, 0.0593, 0.0588, 0.0085, 0.0455, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.2039, 0.0599, 0.002, 0.0019, 0.0731, 0.0, 0.4861, 0.0422, 0.0367, 0.0324, 0.0445, 0.0018, 0.0154, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 53.0, 40.0]), label=0.0, probability=DenseVector([0.1894, 0.0951, 0.0085, 0.0033, 0.1001, 0.0, 0.3853, 0.0344, 0.0474, 0.04, 0.0579, 0.0033, 0.0354, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 53.0, 41.0]), label=6.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 54.0, 23.0]), label=6.0, probability=DenseVector([0.1939, 0.039, 0.0017, 0.0017, 0.0594, 0.0, 0.5621, 0.0387, 0.0359, 0.0224, 0.0283, 0.0017, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 54.0, 30.0]), label=0.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 54.0, 31.0]), label=0.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.2307, 0.0461, 0.0017, 0.0017, 0.0723, 0.0, 0.4979, 0.0326, 0.0355, 0.025, 0.0415, 0.0017, 0.0134, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 54.0, 40.0]), label=6.0, probability=DenseVector([0.1894, 0.0951, 0.0085, 0.0033, 0.1001, 0.0, 0.3853, 0.0344, 0.0474, 0.04, 0.0579, 0.0033, 0.0354, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 54.0, 42.0]), label=6.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 55.0, 30.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 55.0, 40.0]), label=6.0, probability=DenseVector([0.1894, 0.0951, 0.0085, 0.0033, 0.1001, 0.0, 0.3853, 0.0344, 0.0474, 0.04, 0.0579, 0.0033, 0.0354, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 55.0, 45.0]), label=6.0, probability=DenseVector([0.1444, 0.1357, 0.0342, 0.0137, 0.1013, 0.0002, 0.2636, 0.0483, 0.0722, 0.0664, 0.0643, 0.0079, 0.0475, 0.0003]))
Row(prediction=6.0, features=DenseVector([19.0, 56.0, 31.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 56.0, 34.0]), label=6.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 57.0, 38.0]), label=0.0, probability=DenseVector([0.2254, 0.0437, 0.0005, 0.0001, 0.073, 0.0, 0.5158, 0.0316, 0.0306, 0.0257, 0.0396, 0.0018, 0.0123, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 57.0, 53.0]), label=9.0, probability=DenseVector([0.1098, 0.1484, 0.0151, 0.0231, 0.1007, 0.0002, 0.2181, 0.0456, 0.0908, 0.1144, 0.0617, 0.0264, 0.0459, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 59.0, 22.0]), label=6.0, probability=DenseVector([0.1846, 0.0353, 0.0005, 0.0001, 0.0546, 0.0, 0.5959, 0.036, 0.0327, 0.0188, 0.0268, 0.001, 0.0137, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 60.0, 30.0]), label=6.0, probability=DenseVector([0.2196, 0.0415, 0.0005, 0.0001, 0.0716, 0.0, 0.5285, 0.0318, 0.0322, 0.0209, 0.0383, 0.0016, 0.0133, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 60.0, 35.0]), label=6.0, probability=DenseVector([0.2175, 0.0422, 0.0005, 0.0001, 0.0696, 0.0, 0.5341, 0.0299, 0.0298, 0.0246, 0.0384, 0.0016, 0.0119, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 61.0, 26.0]), label=6.0, probability=DenseVector([0.1846, 0.0353, 0.0005, 0.0001, 0.0546, 0.0, 0.5959, 0.036, 0.0327, 0.0188, 0.0268, 0.001, 0.0137, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 61.0, 37.0]), label=0.0, probability=DenseVector([0.2175, 0.0422, 0.0005, 0.0001, 0.0696, 0.0, 0.5341, 0.0299, 0.0298, 0.0246, 0.0384, 0.0016, 0.0119, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 62.0, 38.0]), label=6.0, probability=DenseVector([0.2175, 0.0422, 0.0005, 0.0001, 0.0696, 0.0, 0.5341, 0.0299, 0.0298, 0.0246, 0.0384, 0.0016, 0.0119, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 14.0, 36.0]), label=6.0, probability=DenseVector([0.0752, 0.2619, 0.0, 0.0583, 0.1127, 0.009, 0.1478, 0.0239, 0.0117, 0.0412, 0.2185, 0.0002, 0.0395, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 15.0, 39.0]), label=6.0, probability=DenseVector([0.0634, 0.2872, 0.0055, 0.0767, 0.0359, 0.047, 0.2603, 0.0211, 0.0136, 0.0372, 0.0784, 0.019, 0.0548, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 19.0, 44.0]), label=6.0, probability=DenseVector([0.0319, 0.2938, 0.0115, 0.3279, 0.0101, 0.036, 0.0655, 0.05, 0.0472, 0.0211, 0.0051, 0.0132, 0.0863, 0.0004]))
Row(prediction=3.0, features=DenseVector([20.0, 21.0, 46.0]), label=6.0, probability=DenseVector([0.0312, 0.286, 0.0119, 0.3437, 0.0091, 0.0353, 0.0551, 0.0517, 0.0494, 0.0217, 0.005, 0.014, 0.0855, 0.0005]))
Row(prediction=3.0, features=DenseVector([20.0, 22.0, 47.0]), label=12.0, probability=DenseVector([0.0261, 0.2526, 0.0134, 0.3816, 0.0081, 0.0189, 0.0456, 0.0616, 0.0585, 0.0252, 0.003, 0.0156, 0.0892, 0.0005]))
Row(prediction=10.0, features=DenseVector([20.0, 25.0, 37.0]), label=6.0, probability=DenseVector([0.0872, 0.1774, 0.0012, 0.0175, 0.1272, 0.0052, 0.2223, 0.0271, 0.0134, 0.038, 0.2501, 0.0004, 0.0331, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 25.0, 46.0]), label=11.0, probability=DenseVector([0.0337, 0.2805, 0.0123, 0.3357, 0.0122, 0.0197, 0.0639, 0.0566, 0.0547, 0.0249, 0.0049, 0.0139, 0.0866, 0.0005]))
Row(prediction=1.0, features=DenseVector([20.0, 26.0, 29.0]), label=12.0, probability=DenseVector([0.0735, 0.2433, 0.0011, 0.017, 0.0971, 0.0051, 0.2231, 0.05, 0.0162, 0.0467, 0.1936, 0.0003, 0.0327, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 28.0, 43.0]), label=6.0, probability=DenseVector([0.0476, 0.2756, 0.0251, 0.2573, 0.0194, 0.0118, 0.0892, 0.0635, 0.0641, 0.0292, 0.0138, 0.0148, 0.0882, 0.0004]))
Row(prediction=3.0, features=DenseVector([20.0, 28.0, 50.0]), label=6.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 28.0, 52.0]), label=0.0, probability=DenseVector([0.0132, 0.2217, 0.0232, 0.3811, 0.0042, 0.0099, 0.0204, 0.0801, 0.0751, 0.0308, 0.0007, 0.0307, 0.1081, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 50.0]), label=0.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 52.0]), label=6.0, probability=DenseVector([0.0146, 0.2262, 0.0232, 0.3824, 0.0034, 0.0099, 0.0211, 0.0869, 0.0756, 0.0273, 0.0007, 0.0347, 0.0931, 0.001]))
Row(prediction=1.0, features=DenseVector([20.0, 31.0, 44.0]), label=6.0, probability=DenseVector([0.0438, 0.266, 0.038, 0.2623, 0.0175, 0.0111, 0.0794, 0.0682, 0.071, 0.0314, 0.0077, 0.0166, 0.0863, 0.0007]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 53.0]), label=0.0, probability=DenseVector([0.0146, 0.2262, 0.0232, 0.3824, 0.0034, 0.0099, 0.0211, 0.0869, 0.0756, 0.0273, 0.0007, 0.0347, 0.0931, 0.001]))
Row(prediction=10.0, features=DenseVector([20.0, 32.0, 34.0]), label=6.0, probability=DenseVector([0.131, 0.0638, 0.0013, 0.0016, 0.187, 0.0, 0.1571, 0.0259, 0.0132, 0.0219, 0.3767, 0.0005, 0.0199, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.131, 0.0638, 0.0013, 0.0016, 0.187, 0.0, 0.1571, 0.0259, 0.0132, 0.0219, 0.3767, 0.0005, 0.0199, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 46.0]), label=6.0, probability=DenseVector([0.0432, 0.2581, 0.0385, 0.2781, 0.0164, 0.0104, 0.069, 0.07, 0.0731, 0.032, 0.0076, 0.0173, 0.0856, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 46.0]), label=6.0, probability=DenseVector([0.0432, 0.2581, 0.0385, 0.2781, 0.0164, 0.0104, 0.069, 0.07, 0.0731, 0.032, 0.0076, 0.0173, 0.0856, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 47.0]), label=0.0, probability=DenseVector([0.0356, 0.2302, 0.0395, 0.324, 0.0124, 0.0096, 0.0508, 0.075, 0.0769, 0.0323, 0.0056, 0.019, 0.0881, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 50.0]), label=0.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 55.0]), label=11.0, probability=DenseVector([0.014, 0.227, 0.023, 0.3467, 0.0036, 0.0085, 0.021, 0.0848, 0.0791, 0.0421, 0.0012, 0.0429, 0.1053, 0.0009]))
Row(prediction=10.0, features=DenseVector([20.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 52.0]), label=6.0, probability=DenseVector([0.0134, 0.1995, 0.0328, 0.3991, 0.0025, 0.0098, 0.0192, 0.0868, 0.0975, 0.0303, 0.0009, 0.0306, 0.076, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 48.0]), label=3.0, probability=DenseVector([0.0338, 0.1811, 0.0673, 0.3038, 0.009, 0.0192, 0.0341, 0.1067, 0.1054, 0.0295, 0.0045, 0.0292, 0.0751, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 48.0]), label=0.0, probability=DenseVector([0.0338, 0.1811, 0.0673, 0.3038, 0.009, 0.0192, 0.0341, 0.1067, 0.1054, 0.0295, 0.0045, 0.0292, 0.0751, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 49.0]), label=3.0, probability=DenseVector([0.0324, 0.182, 0.0604, 0.3159, 0.0082, 0.0199, 0.0314, 0.1064, 0.1048, 0.0286, 0.0041, 0.0297, 0.075, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0305, 0.1743, 0.0875, 0.266, 0.0085, 0.0237, 0.0244, 0.1097, 0.138, 0.0399, 0.0045, 0.0374, 0.0538, 0.0018]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 33.0]), label=6.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 35.0, 45.0]), label=6.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 48.0]), label=3.0, probability=DenseVector([0.0428, 0.1737, 0.0892, 0.223, 0.0121, 0.0185, 0.0413, 0.1237, 0.1264, 0.0342, 0.006, 0.0364, 0.0713, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 52.0]), label=11.0, probability=DenseVector([0.0359, 0.1693, 0.1025, 0.2245, 0.0092, 0.0235, 0.0268, 0.1205, 0.1527, 0.0389, 0.0049, 0.0413, 0.0485, 0.0017]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 38.0]), label=6.0, probability=DenseVector([0.1454, 0.0514, 0.0025, 0.002, 0.1922, 0.0, 0.138, 0.0261, 0.015, 0.0143, 0.3935, 0.0006, 0.0188, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 40.0]), label=0.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 40.0]), label=6.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 36.0, 44.0]), label=0.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 36.0, 44.0]), label=6.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 36.0, 45.0]), label=6.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 36.0, 46.0]), label=6.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 36.0, 46.0]), label=1.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 49.0]), label=3.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 37.0, 42.0]), label=0.0, probability=DenseVector([0.0873, 0.2139, 0.0528, 0.1107, 0.0442, 0.0039, 0.1116, 0.094, 0.0932, 0.0364, 0.0664, 0.0227, 0.0625, 0.0003]))
Row(prediction=1.0, features=DenseVector([20.0, 37.0, 46.0]), label=0.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 37.0, 47.0]), label=0.0, probability=DenseVector([0.0574, 0.2006, 0.0905, 0.1703, 0.0184, 0.014, 0.0575, 0.1181, 0.1243, 0.0367, 0.0091, 0.0314, 0.0704, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 49.0]), label=11.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 49.0]), label=6.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 38.0, 42.0]), label=0.0, probability=DenseVector([0.0873, 0.2139, 0.0528, 0.1107, 0.0442, 0.0039, 0.1116, 0.094, 0.0932, 0.0364, 0.0664, 0.0227, 0.0625, 0.0003]))
Row(prediction=1.0, features=DenseVector([20.0, 38.0, 42.0]), label=6.0, probability=DenseVector([0.0873, 0.2139, 0.0528, 0.1107, 0.0442, 0.0039, 0.1116, 0.094, 0.0932, 0.0364, 0.0664, 0.0227, 0.0625, 0.0003]))
Row(prediction=1.0, features=DenseVector([20.0, 38.0, 45.0]), label=0.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 38.0, 45.0]), label=0.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 48.0]), label=11.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 48.0]), label=9.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 48.0]), label=0.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 49.0]), label=6.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 50.0]), label=6.0, probability=DenseVector([0.0427, 0.1688, 0.0895, 0.2209, 0.012, 0.03, 0.0379, 0.123, 0.128, 0.0328, 0.0066, 0.0374, 0.0685, 0.0019]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 54.0]), label=11.0, probability=DenseVector([0.0379, 0.1822, 0.0983, 0.1941, 0.0109, 0.0239, 0.0281, 0.1175, 0.1439, 0.0487, 0.006, 0.0488, 0.0579, 0.0018]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 39.0, 46.0]), label=0.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 39.0, 49.0]), label=9.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.1398, 0.2045, 0.0171, 0.0087, 0.0856, 0.0002, 0.1946, 0.0462, 0.034, 0.037, 0.1814, 0.0034, 0.0476, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 40.0, 43.0]), label=0.0, probability=DenseVector([0.0798, 0.2001, 0.1219, 0.0943, 0.0304, 0.006, 0.0946, 0.0934, 0.1163, 0.046, 0.0233, 0.0278, 0.0649, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 40.0, 46.0]), label=6.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 40.0, 48.0]), label=0.0, probability=DenseVector([0.0524, 0.1515, 0.1344, 0.1635, 0.0146, 0.0084, 0.0505, 0.1118, 0.1398, 0.0461, 0.0083, 0.0378, 0.0795, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 40.0, 48.0]), label=6.0, probability=DenseVector([0.0524, 0.1515, 0.1344, 0.1635, 0.0146, 0.0084, 0.0505, 0.1118, 0.1398, 0.0461, 0.0083, 0.0378, 0.0795, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 40.0, 48.0]), label=9.0, probability=DenseVector([0.0524, 0.1515, 0.1344, 0.1635, 0.0146, 0.0084, 0.0505, 0.1118, 0.1398, 0.0461, 0.0083, 0.0378, 0.0795, 0.0014]))
Row(prediction=10.0, features=DenseVector([20.0, 41.0, 35.0]), label=6.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 42.0]), label=6.0, probability=DenseVector([0.0965, 0.1969, 0.0822, 0.0641, 0.0515, 0.0029, 0.1346, 0.081, 0.0909, 0.045, 0.0721, 0.02, 0.0618, 0.0004]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 43.0]), label=0.0, probability=DenseVector([0.0798, 0.2001, 0.1219, 0.0943, 0.0304, 0.006, 0.0946, 0.0934, 0.1163, 0.046, 0.0233, 0.0278, 0.0649, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 43.0]), label=6.0, probability=DenseVector([0.0798, 0.2001, 0.1219, 0.0943, 0.0304, 0.006, 0.0946, 0.0934, 0.1163, 0.046, 0.0233, 0.0278, 0.0649, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 45.0]), label=6.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 41.0, 49.0]), label=6.0, probability=DenseVector([0.0511, 0.1524, 0.1274, 0.1757, 0.0137, 0.0091, 0.0479, 0.1115, 0.1392, 0.0453, 0.0079, 0.0383, 0.0793, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0511, 0.1524, 0.1274, 0.1757, 0.0137, 0.0091, 0.0479, 0.1115, 0.1392, 0.0453, 0.0079, 0.0383, 0.0793, 0.0012]))
Row(prediction=6.0, features=DenseVector([20.0, 42.0, 29.0]), label=6.0, probability=DenseVector([0.1115, 0.0639, 0.0014, 0.0012, 0.1454, 0.0, 0.2992, 0.0295, 0.0228, 0.017, 0.2772, 0.0005, 0.0304, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 42.0, 40.0]), label=6.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 43.0]), label=6.0, probability=DenseVector([0.0809, 0.1903, 0.1307, 0.0884, 0.0329, 0.0058, 0.1006, 0.0899, 0.1146, 0.0502, 0.027, 0.0266, 0.0609, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 46.0]), label=9.0, probability=DenseVector([0.0664, 0.169, 0.1576, 0.1134, 0.0217, 0.0084, 0.0636, 0.0976, 0.1368, 0.0524, 0.013, 0.0334, 0.065, 0.0017]))
Row(prediction=3.0, features=DenseVector([20.0, 42.0, 51.0]), label=6.0, probability=DenseVector([0.0511, 0.1456, 0.1472, 0.1598, 0.0153, 0.0092, 0.0519, 0.107, 0.141, 0.0493, 0.0089, 0.0373, 0.0749, 0.0015]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 55.0]), label=6.0, probability=DenseVector([0.0534, 0.1599, 0.1217, 0.1508, 0.0179, 0.0172, 0.0436, 0.0954, 0.1461, 0.0718, 0.0096, 0.0438, 0.067, 0.0018]))
Row(prediction=10.0, features=DenseVector([20.0, 43.0, 32.0]), label=0.0, probability=DenseVector([0.1889, 0.0559, 0.0045, 0.0023, 0.1672, 0.0001, 0.1923, 0.0245, 0.0263, 0.021, 0.2948, 0.0011, 0.021, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 43.0, 42.0]), label=6.0, probability=DenseVector([0.107, 0.1541, 0.0994, 0.0567, 0.0607, 0.0027, 0.1533, 0.076, 0.0902, 0.0556, 0.0793, 0.0185, 0.046, 0.0004]))
Row(prediction=1.0, features=DenseVector([20.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.0903, 0.1574, 0.1392, 0.0868, 0.0396, 0.0058, 0.1133, 0.0883, 0.1157, 0.0566, 0.0306, 0.0262, 0.0491, 0.0012]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 46.0]), label=0.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 47.0]), label=11.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 48.0]), label=0.0, probability=DenseVector([0.0634, 0.1483, 0.1608, 0.13, 0.0233, 0.0085, 0.065, 0.0996, 0.1401, 0.0552, 0.0154, 0.0362, 0.0526, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 49.0]), label=6.0, probability=DenseVector([0.0621, 0.1492, 0.1539, 0.1421, 0.0224, 0.0092, 0.0623, 0.0993, 0.1395, 0.0543, 0.015, 0.0367, 0.0525, 0.0015]))
Row(prediction=6.0, features=DenseVector([20.0, 44.0, 27.0]), label=6.0, probability=DenseVector([0.1758, 0.0753, 0.0085, 0.0039, 0.1024, 0.0, 0.3783, 0.0286, 0.0385, 0.0271, 0.1269, 0.0014, 0.0332, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 44.0, 27.0]), label=0.0, probability=DenseVector([0.1758, 0.0753, 0.0085, 0.0039, 0.1024, 0.0, 0.3783, 0.0286, 0.0385, 0.0271, 0.1269, 0.0014, 0.0332, 0.0002]))
Row(prediction=10.0, features=DenseVector([20.0, 44.0, 31.0]), label=0.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=10.0, features=DenseVector([20.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=10.0, features=DenseVector([20.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=10.0, features=DenseVector([20.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=10.0, features=DenseVector([20.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=10.0, features=DenseVector([20.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=10.0, features=DenseVector([20.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=10.0, features=DenseVector([20.0, 44.0, 38.0]), label=0.0, probability=DenseVector([0.195, 0.0623, 0.0096, 0.0047, 0.1469, 0.0, 0.2348, 0.025, 0.0292, 0.0242, 0.2444, 0.0014, 0.0223, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 44.0, 41.0]), label=0.0, probability=DenseVector([0.1575, 0.1673, 0.0262, 0.0092, 0.0756, 0.0, 0.2573, 0.0448, 0.0369, 0.0472, 0.1343, 0.0037, 0.0398, 0.0002]))
Row(prediction=1.0, features=DenseVector([20.0, 44.0, 43.0]), label=1.0, probability=DenseVector([0.0903, 0.1574, 0.1392, 0.0868, 0.0396, 0.0058, 0.1133, 0.0883, 0.1157, 0.0566, 0.0306, 0.0262, 0.0491, 0.0012]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 44.0]), label=0.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 46.0]), label=6.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 46.0]), label=9.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 49.0]), label=1.0, probability=DenseVector([0.0621, 0.1492, 0.1539, 0.1421, 0.0224, 0.0092, 0.0623, 0.0993, 0.1395, 0.0543, 0.015, 0.0367, 0.0525, 0.0015]))
Row(prediction=1.0, features=DenseVector([20.0, 44.0, 54.0]), label=11.0, probability=DenseVector([0.06, 0.1655, 0.1311, 0.1441, 0.0202, 0.0146, 0.0496, 0.0947, 0.1425, 0.0653, 0.0113, 0.0474, 0.0521, 0.0017]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 35.0]), label=6.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 35.0]), label=9.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 39.0]), label=9.0, probability=DenseVector([0.1827, 0.1261, 0.0169, 0.0052, 0.0938, 0.0, 0.2796, 0.0275, 0.027, 0.0386, 0.166, 0.0025, 0.0337, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 40.0]), label=0.0, probability=DenseVector([0.1827, 0.1261, 0.0169, 0.0052, 0.0938, 0.0, 0.2796, 0.0275, 0.027, 0.0386, 0.166, 0.0025, 0.0337, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 40.0]), label=0.0, probability=DenseVector([0.1827, 0.1261, 0.0169, 0.0052, 0.0938, 0.0, 0.2796, 0.0275, 0.027, 0.0386, 0.166, 0.0025, 0.0337, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 40.0]), label=0.0, probability=DenseVector([0.1827, 0.1261, 0.0169, 0.0052, 0.0938, 0.0, 0.2796, 0.0275, 0.027, 0.0386, 0.166, 0.0025, 0.0337, 0.0002]))
Row(prediction=1.0, features=DenseVector([20.0, 45.0, 43.0]), label=6.0, probability=DenseVector([0.0892, 0.1559, 0.1486, 0.0821, 0.0398, 0.0033, 0.1154, 0.0867, 0.1147, 0.0574, 0.0307, 0.0257, 0.048, 0.0025]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 45.0]), label=11.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 46.0]), label=6.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=6.0, features=DenseVector([20.0, 46.0, 27.0]), label=6.0, probability=DenseVector([0.1828, 0.068, 0.0087, 0.0044, 0.0872, 0.0, 0.4279, 0.0311, 0.0352, 0.028, 0.1024, 0.0015, 0.0226, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 46.0, 29.0]), label=0.0, probability=DenseVector([0.1828, 0.068, 0.0087, 0.0044, 0.0872, 0.0, 0.4279, 0.0311, 0.0352, 0.028, 0.1024, 0.0015, 0.0226, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 46.0, 30.0]), label=6.0, probability=DenseVector([0.2106, 0.0634, 0.0093, 0.005, 0.1226, 0.0, 0.3103, 0.0233, 0.0333, 0.0243, 0.1762, 0.0015, 0.02, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 46.0, 35.0]), label=0.0, probability=DenseVector([0.2106, 0.0634, 0.0093, 0.005, 0.1226, 0.0, 0.3103, 0.0233, 0.0333, 0.0243, 0.1762, 0.0015, 0.02, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 46.0, 39.0]), label=6.0, probability=DenseVector([0.1803, 0.1198, 0.0197, 0.0092, 0.085, 0.0, 0.3139, 0.0259, 0.03, 0.0449, 0.1358, 0.0036, 0.0318, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 46.0, 39.0]), label=0.0, probability=DenseVector([0.1803, 0.1198, 0.0197, 0.0092, 0.085, 0.0, 0.3139, 0.0259, 0.03, 0.0449, 0.1358, 0.0036, 0.0318, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 30.0]), label=0.0, probability=DenseVector([0.1974, 0.0608, 0.0118, 0.009, 0.094, 0.0, 0.4053, 0.0223, 0.0361, 0.029, 0.1128, 0.0023, 0.019, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.1974, 0.0608, 0.0118, 0.009, 0.094, 0.0, 0.4053, 0.0223, 0.0361, 0.029, 0.1128, 0.0023, 0.019, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 32.0]), label=0.0, probability=DenseVector([0.1974, 0.0608, 0.0118, 0.009, 0.094, 0.0, 0.4053, 0.0223, 0.0361, 0.029, 0.1128, 0.0023, 0.019, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 33.0]), label=6.0, probability=DenseVector([0.1974, 0.0608, 0.0118, 0.009, 0.094, 0.0, 0.4053, 0.0223, 0.0361, 0.029, 0.1128, 0.0023, 0.019, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 34.0]), label=6.0, probability=DenseVector([0.1974, 0.0608, 0.0118, 0.009, 0.094, 0.0, 0.4053, 0.0223, 0.0361, 0.029, 0.1128, 0.0023, 0.019, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.197, 0.0616, 0.0159, 0.0131, 0.0941, 0.0, 0.3804, 0.0216, 0.0415, 0.036, 0.1141, 0.0033, 0.0211, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.1663, 0.1021, 0.024, 0.0152, 0.071, 0.0, 0.3826, 0.023, 0.035, 0.0492, 0.0977, 0.0044, 0.0291, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 40.0]), label=9.0, probability=DenseVector([0.1655, 0.103, 0.0296, 0.0166, 0.0717, 0.0, 0.3718, 0.0242, 0.0374, 0.0489, 0.098, 0.0044, 0.0285, 0.0004]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 40.0]), label=9.0, probability=DenseVector([0.1655, 0.103, 0.0296, 0.0166, 0.0717, 0.0, 0.3718, 0.0242, 0.0374, 0.0489, 0.098, 0.0044, 0.0285, 0.0004]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 42.0]), label=9.0, probability=DenseVector([0.0933, 0.1158, 0.1428, 0.0541, 0.0521, 0.0006, 0.2476, 0.0575, 0.0793, 0.0579, 0.043, 0.0169, 0.0349, 0.0042]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 43.0]), label=6.0, probability=DenseVector([0.0694, 0.1147, 0.2047, 0.0784, 0.0398, 0.0013, 0.1731, 0.0669, 0.0995, 0.0594, 0.0272, 0.0224, 0.0345, 0.0086]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 43.0]), label=0.0, probability=DenseVector([0.0694, 0.1147, 0.2047, 0.0784, 0.0398, 0.0013, 0.1731, 0.0669, 0.0995, 0.0594, 0.0272, 0.0224, 0.0345, 0.0086]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 44.0]), label=6.0, probability=DenseVector([0.0513, 0.1131, 0.242, 0.0894, 0.0295, 0.0016, 0.115, 0.0778, 0.1207, 0.0617, 0.0228, 0.0278, 0.0361, 0.0111]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 44.0]), label=6.0, probability=DenseVector([0.0513, 0.1131, 0.242, 0.0894, 0.0295, 0.0016, 0.115, 0.0778, 0.1207, 0.0617, 0.0228, 0.0278, 0.0361, 0.0111]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 45.0]), label=6.0, probability=DenseVector([0.0513, 0.1131, 0.242, 0.0894, 0.0295, 0.0016, 0.115, 0.0778, 0.1207, 0.0617, 0.0228, 0.0278, 0.0361, 0.0111]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 48.0]), label=9.0, probability=DenseVector([0.0502, 0.1168, 0.2232, 0.1066, 0.0279, 0.0017, 0.1082, 0.0808, 0.1236, 0.0609, 0.0219, 0.0313, 0.038, 0.009]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 28.0]), label=6.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 29.0]), label=6.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 30.0]), label=9.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 30.0]), label=0.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 31.0]), label=6.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 33.0]), label=0.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 33.0]), label=0.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 35.0]), label=6.0, probability=DenseVector([0.0999, 0.0498, 0.0228, 0.0231, 0.0396, 0.0, 0.6136, 0.0226, 0.0367, 0.0358, 0.0343, 0.0054, 0.016, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 35.0]), label=6.0, probability=DenseVector([0.0999, 0.0498, 0.0228, 0.0231, 0.0396, 0.0, 0.6136, 0.0226, 0.0367, 0.0358, 0.0343, 0.0054, 0.016, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 35.0]), label=6.0, probability=DenseVector([0.0999, 0.0498, 0.0228, 0.0231, 0.0396, 0.0, 0.6136, 0.0226, 0.0367, 0.0358, 0.0343, 0.0054, 0.016, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.1095, 0.0519, 0.0298, 0.0272, 0.0432, 0.0, 0.5672, 0.0243, 0.0417, 0.043, 0.0389, 0.0065, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.1061, 0.0569, 0.0343, 0.0271, 0.0363, 0.0, 0.5803, 0.0247, 0.0428, 0.0446, 0.0227, 0.0069, 0.017, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.1061, 0.0569, 0.0343, 0.0271, 0.0363, 0.0, 0.5803, 0.0247, 0.0428, 0.0446, 0.0227, 0.0069, 0.017, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.1053, 0.0578, 0.0398, 0.0285, 0.037, 0.0, 0.5695, 0.0259, 0.0452, 0.0443, 0.023, 0.0068, 0.0164, 0.0004]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.1053, 0.0578, 0.0398, 0.0285, 0.037, 0.0, 0.5695, 0.0259, 0.0452, 0.0443, 0.023, 0.0068, 0.0164, 0.0004]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 40.0]), label=0.0, probability=DenseVector([0.1053, 0.0578, 0.0398, 0.0285, 0.037, 0.0, 0.5695, 0.0259, 0.0452, 0.0443, 0.023, 0.0068, 0.0164, 0.0004]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 41.0]), label=2.0, probability=DenseVector([0.0898, 0.0687, 0.0602, 0.0296, 0.0448, 0.0, 0.5193, 0.0287, 0.0503, 0.0493, 0.0304, 0.0073, 0.0209, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 41.0]), label=6.0, probability=DenseVector([0.0898, 0.0687, 0.0602, 0.0296, 0.0448, 0.0, 0.5193, 0.0287, 0.0503, 0.0493, 0.0304, 0.0073, 0.0209, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 41.0]), label=6.0, probability=DenseVector([0.0898, 0.0687, 0.0602, 0.0296, 0.0448, 0.0, 0.5193, 0.0287, 0.0503, 0.0493, 0.0304, 0.0073, 0.0209, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 41.0]), label=6.0, probability=DenseVector([0.0898, 0.0687, 0.0602, 0.0296, 0.0448, 0.0, 0.5193, 0.0287, 0.0503, 0.0493, 0.0304, 0.0073, 0.0209, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 41.0]), label=0.0, probability=DenseVector([0.0898, 0.0687, 0.0602, 0.0296, 0.0448, 0.0, 0.5193, 0.0287, 0.0503, 0.0493, 0.0304, 0.0073, 0.0209, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 42.0]), label=11.0, probability=DenseVector([0.0839, 0.1116, 0.1466, 0.054, 0.0469, 0.0006, 0.2769, 0.0588, 0.0792, 0.056, 0.0329, 0.0169, 0.0317, 0.0042]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 23.0]), label=6.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 28.0]), label=0.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 32.0]), label=0.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 32.0]), label=0.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 34.0]), label=0.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 35.0]), label=0.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 36.0]), label=0.0, probability=DenseVector([0.0941, 0.0491, 0.0253, 0.0259, 0.0379, 0.0, 0.6086, 0.0232, 0.0401, 0.0389, 0.0338, 0.0061, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.0941, 0.0491, 0.0253, 0.0259, 0.0379, 0.0, 0.6086, 0.0232, 0.0401, 0.0389, 0.0338, 0.0061, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.0941, 0.0491, 0.0253, 0.0259, 0.0379, 0.0, 0.6086, 0.0232, 0.0401, 0.0389, 0.0338, 0.0061, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 36.0]), label=0.0, probability=DenseVector([0.0941, 0.0491, 0.0253, 0.0259, 0.0379, 0.0, 0.6086, 0.0232, 0.0401, 0.0389, 0.0338, 0.0061, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.0898, 0.0687, 0.0602, 0.0296, 0.0448, 0.0, 0.5193, 0.0287, 0.0503, 0.0493, 0.0304, 0.0073, 0.0209, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0839, 0.1116, 0.1466, 0.054, 0.0469, 0.0006, 0.2769, 0.0588, 0.0792, 0.056, 0.0329, 0.0169, 0.0317, 0.0042]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0839, 0.1116, 0.1466, 0.054, 0.0469, 0.0006, 0.2769, 0.0588, 0.0792, 0.056, 0.0329, 0.0169, 0.0317, 0.0042]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0839, 0.1116, 0.1466, 0.054, 0.0469, 0.0006, 0.2769, 0.0588, 0.0792, 0.056, 0.0329, 0.0169, 0.0317, 0.0042]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 27.0]), label=6.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.0941, 0.0491, 0.0253, 0.0259, 0.0379, 0.0, 0.6086, 0.0232, 0.0401, 0.0389, 0.0338, 0.0061, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.0941, 0.0491, 0.0253, 0.0259, 0.0379, 0.0, 0.6086, 0.0232, 0.0401, 0.0389, 0.0338, 0.0061, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 39.0]), label=0.0, probability=DenseVector([0.0913, 0.0528, 0.0365, 0.0291, 0.0316, 0.0, 0.6009, 0.0246, 0.0461, 0.0444, 0.0189, 0.0072, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0905, 0.0537, 0.0421, 0.0304, 0.0324, 0.0, 0.5901, 0.0258, 0.0485, 0.0441, 0.0191, 0.0072, 0.0156, 0.0004]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0905, 0.0537, 0.0421, 0.0304, 0.0324, 0.0, 0.5901, 0.0258, 0.0485, 0.0441, 0.0191, 0.0072, 0.0156, 0.0004]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0905, 0.0537, 0.0421, 0.0304, 0.0324, 0.0, 0.5901, 0.0258, 0.0485, 0.0441, 0.0191, 0.0072, 0.0156, 0.0004]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.0898, 0.0687, 0.0602, 0.0296, 0.0448, 0.0, 0.5193, 0.0287, 0.0503, 0.0493, 0.0304, 0.0073, 0.0209, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.0898, 0.0687, 0.0602, 0.0296, 0.0448, 0.0, 0.5193, 0.0287, 0.0503, 0.0493, 0.0304, 0.0073, 0.0209, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 27.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 33.0]), label=0.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 35.0]), label=0.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 36.0]), label=0.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 36.0]), label=0.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0718, 0.0542, 0.0749, 0.0358, 0.0453, 0.0, 0.5075, 0.0321, 0.0629, 0.0538, 0.0267, 0.0126, 0.022, 0.0004]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0643, 0.1036, 0.1878, 0.068, 0.0474, 0.0007, 0.2265, 0.0611, 0.0867, 0.0655, 0.0305, 0.0185, 0.0343, 0.0053]))
Row(prediction=6.0, features=DenseVector([20.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0643, 0.1036, 0.1878, 0.068, 0.0474, 0.0007, 0.2265, 0.0611, 0.0867, 0.0655, 0.0305, 0.0185, 0.0343, 0.0053]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 27.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 28.0]), label=0.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 38.0]), label=0.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 53.0, 18.0]), label=0.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 53.0, 25.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 53.0, 27.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 53.0, 33.0]), label=0.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 54.0, 36.0]), label=0.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 54.0, 40.0]), label=6.0, probability=DenseVector([0.0718, 0.0422, 0.0493, 0.037, 0.034, 0.0, 0.5924, 0.025, 0.0515, 0.0532, 0.0137, 0.0116, 0.0167, 0.0015]))
Row(prediction=6.0, features=DenseVector([20.0, 55.0, 31.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 55.0, 38.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 56.0, 32.0]), label=6.0, probability=DenseVector([0.0662, 0.034, 0.0149, 0.0231, 0.021, 0.0, 0.7404, 0.0167, 0.0321, 0.0299, 0.0048, 0.0049, 0.012, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 56.0, 34.0]), label=6.0, probability=DenseVector([0.0662, 0.034, 0.0149, 0.0231, 0.021, 0.0, 0.7404, 0.0167, 0.0321, 0.0299, 0.0048, 0.0049, 0.012, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 56.0, 34.0]), label=0.0, probability=DenseVector([0.0662, 0.034, 0.0149, 0.0231, 0.021, 0.0, 0.7404, 0.0167, 0.0321, 0.0299, 0.0048, 0.0049, 0.012, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 56.0, 36.0]), label=0.0, probability=DenseVector([0.0713, 0.0349, 0.0217, 0.0289, 0.0222, 0.0, 0.6994, 0.017, 0.0393, 0.0376, 0.0074, 0.0061, 0.0142, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 56.0, 38.0]), label=6.0, probability=DenseVector([0.0728, 0.0349, 0.0248, 0.0298, 0.0231, 0.0, 0.6889, 0.0181, 0.0407, 0.0385, 0.0082, 0.0063, 0.0139, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 57.0, 36.0]), label=6.0, probability=DenseVector([0.0567, 0.0315, 0.0182, 0.024, 0.018, 0.0, 0.7437, 0.0133, 0.0331, 0.038, 0.0065, 0.005, 0.0119, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 57.0, 36.0]), label=6.0, probability=DenseVector([0.0567, 0.0315, 0.0182, 0.024, 0.018, 0.0, 0.7437, 0.0133, 0.0331, 0.038, 0.0065, 0.005, 0.0119, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 58.0, 40.0]), label=6.0, probability=DenseVector([0.0586, 0.0375, 0.0336, 0.0289, 0.026, 0.0, 0.6811, 0.0181, 0.0373, 0.0473, 0.0093, 0.0077, 0.0131, 0.0015]))
Row(prediction=6.0, features=DenseVector([20.0, 61.0, 32.0]), label=6.0, probability=DenseVector([0.0451, 0.0291, 0.0114, 0.0169, 0.0152, 0.0, 0.8008, 0.0112, 0.024, 0.0293, 0.0038, 0.0037, 0.0095, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 61.0, 42.0]), label=6.0, probability=DenseVector([0.0626, 0.098, 0.1486, 0.0578, 0.044, 0.0006, 0.3195, 0.0547, 0.078, 0.0571, 0.0247, 0.0177, 0.0315, 0.0052]))
Row(prediction=3.0, features=DenseVector([21.0, 12.0, 44.0]), label=6.0, probability=DenseVector([0.0196, 0.2779, 0.0109, 0.3468, 0.0072, 0.0648, 0.0762, 0.0383, 0.0387, 0.021, 0.003, 0.013, 0.0823, 0.0004]))
Row(prediction=3.0, features=DenseVector([21.0, 12.0, 58.0]), label=9.0, probability=DenseVector([0.0144, 0.2265, 0.0284, 0.3291, 0.004, 0.0086, 0.0214, 0.0572, 0.074, 0.0557, 0.0021, 0.0285, 0.1491, 0.0009]))
Row(prediction=3.0, features=DenseVector([21.0, 21.0, 46.0]), label=6.0, probability=DenseVector([0.0194, 0.2704, 0.0114, 0.4059, 0.0061, 0.0363, 0.0514, 0.0401, 0.0408, 0.0203, 0.0029, 0.014, 0.0807, 0.0005]))
Row(prediction=10.0, features=DenseVector([21.0, 22.0, 35.0]), label=6.0, probability=DenseVector([0.0872, 0.1774, 0.0012, 0.0175, 0.1272, 0.0052, 0.2223, 0.0271, 0.0134, 0.038, 0.2501, 0.0004, 0.0331, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 22.0, 51.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 43.0]), label=6.0, probability=DenseVector([0.0298, 0.2659, 0.0174, 0.3153, 0.0141, 0.038, 0.0927, 0.046, 0.0484, 0.0248, 0.0105, 0.0137, 0.082, 0.0014]))
Row(prediction=6.0, features=DenseVector([21.0, 25.0, 39.0]), label=6.0, probability=DenseVector([0.0753, 0.2154, 0.0061, 0.0167, 0.0514, 0.033, 0.3695, 0.0244, 0.0156, 0.0308, 0.1101, 0.0016, 0.05, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 25.0, 44.0]), label=6.0, probability=DenseVector([0.024, 0.2642, 0.018, 0.3409, 0.0113, 0.0383, 0.0815, 0.0463, 0.0486, 0.025, 0.0037, 0.0142, 0.0825, 0.0015]))
Row(prediction=6.0, features=DenseVector([21.0, 26.0, 39.0]), label=6.0, probability=DenseVector([0.0753, 0.2154, 0.0061, 0.0167, 0.0514, 0.033, 0.3695, 0.0244, 0.0156, 0.0308, 0.1101, 0.0016, 0.05, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 26.0, 45.0]), label=6.0, probability=DenseVector([0.0243, 0.2647, 0.018, 0.3627, 0.0112, 0.0262, 0.072, 0.0463, 0.0486, 0.0243, 0.0037, 0.0144, 0.0821, 0.0015]))
Row(prediction=3.0, features=DenseVector([21.0, 26.0, 62.0]), label=9.0, probability=DenseVector([0.011, 0.2001, 0.0276, 0.3497, 0.0045, 0.0091, 0.0172, 0.0593, 0.0858, 0.0908, 0.0014, 0.0244, 0.1182, 0.001]))
Row(prediction=6.0, features=DenseVector([21.0, 29.0, 30.0]), label=6.0, probability=DenseVector([0.0887, 0.1195, 0.0012, 0.0018, 0.1307, 0.0001, 0.2775, 0.0284, 0.0132, 0.0546, 0.2531, 0.0025, 0.0286, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 44.0]), label=6.0, probability=DenseVector([0.0338, 0.2423, 0.047, 0.2987, 0.0155, 0.0175, 0.079, 0.059, 0.0663, 0.0322, 0.0065, 0.0177, 0.0828, 0.0018]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 48.0]), label=12.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 49.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 45.0]), label=0.0, probability=DenseVector([0.0358, 0.2342, 0.0594, 0.2782, 0.0165, 0.0164, 0.0804, 0.0635, 0.0729, 0.0342, 0.0071, 0.0188, 0.0805, 0.0021]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 48.0]), label=0.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 48.0]), label=12.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 49.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=10.0, features=DenseVector([21.0, 31.0, 32.0]), label=6.0, probability=DenseVector([0.1215, 0.0707, 0.0012, 0.0016, 0.1678, 0.0001, 0.2297, 0.024, 0.0114, 0.0455, 0.2999, 0.0068, 0.0197, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 31.0, 35.0]), label=6.0, probability=DenseVector([0.1215, 0.0707, 0.0012, 0.0016, 0.1678, 0.0001, 0.2297, 0.024, 0.0114, 0.0455, 0.2999, 0.0068, 0.0197, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 47.0]), label=6.0, probability=DenseVector([0.0338, 0.2126, 0.0607, 0.3325, 0.013, 0.015, 0.0516, 0.0654, 0.0763, 0.0347, 0.0066, 0.0207, 0.0748, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 51.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 56.0]), label=11.0, probability=DenseVector([0.0138, 0.2234, 0.0286, 0.3555, 0.0038, 0.0091, 0.0202, 0.0799, 0.08, 0.043, 0.0014, 0.0443, 0.0961, 0.001]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 48.0]), label=9.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=9.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 43.0]), label=6.0, probability=DenseVector([0.0428, 0.2341, 0.0515, 0.2508, 0.0211, 0.0161, 0.1048, 0.0614, 0.0696, 0.0341, 0.0147, 0.0177, 0.0793, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 49.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 51.0]), label=0.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 56.0]), label=11.0, probability=DenseVector([0.0137, 0.2122, 0.0333, 0.3704, 0.0041, 0.0103, 0.0203, 0.0784, 0.0949, 0.0433, 0.0018, 0.0379, 0.0781, 0.0012]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 48.0]), label=3.0, probability=DenseVector([0.0341, 0.174, 0.0792, 0.3156, 0.01, 0.0251, 0.033, 0.0948, 0.1056, 0.0316, 0.0055, 0.0317, 0.0574, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 49.0]), label=3.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 49.0]), label=3.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 49.0]), label=11.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 51.0]), label=6.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 53.0]), label=6.0, probability=DenseVector([0.0303, 0.1707, 0.0931, 0.2748, 0.0087, 0.0243, 0.0235, 0.1048, 0.1389, 0.0408, 0.0047, 0.0388, 0.0446, 0.0019]))
Row(prediction=10.0, features=DenseVector([21.0, 35.0, 40.0]), label=6.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 35.0, 40.0]), label=6.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 35.0, 42.0]), label=6.0, probability=DenseVector([0.0805, 0.1805, 0.0669, 0.1248, 0.0449, 0.0093, 0.1257, 0.0874, 0.0921, 0.0393, 0.0667, 0.0244, 0.0559, 0.0015]))
Row(prediction=1.0, features=DenseVector([21.0, 35.0, 46.0]), label=6.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 51.0]), label=6.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 32.0]), label=9.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 49.0]), label=6.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=6.0, features=DenseVector([21.0, 37.0, 26.0]), label=6.0, probability=DenseVector([0.1115, 0.0639, 0.0014, 0.0012, 0.1454, 0.0, 0.2992, 0.0295, 0.0228, 0.017, 0.2772, 0.0005, 0.0304, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 37.0, 44.0]), label=0.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 48.0]), label=6.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 32.0]), label=6.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 38.0]), label=6.0, probability=DenseVector([0.1454, 0.0514, 0.0025, 0.002, 0.1922, 0.0, 0.138, 0.0261, 0.015, 0.0143, 0.3935, 0.0006, 0.0188, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 38.0, 48.0]), label=1.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 38.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 38.0, 50.0]), label=6.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 31.0]), label=6.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 33.0]), label=6.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 40.0]), label=6.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 39.0, 42.0]), label=0.0, probability=DenseVector([0.0805, 0.1805, 0.0669, 0.1248, 0.0449, 0.0093, 0.1257, 0.0874, 0.0921, 0.0393, 0.0667, 0.0244, 0.0559, 0.0015]))
Row(prediction=3.0, features=DenseVector([21.0, 39.0, 48.0]), label=0.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 39.0, 48.0]), label=0.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 39.0, 48.0]), label=0.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 39.0, 48.0]), label=0.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 39.0, 49.0]), label=6.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 39.0, 53.0]), label=11.0, probability=DenseVector([0.0372, 0.1663, 0.1136, 0.2215, 0.0102, 0.0284, 0.0263, 0.1145, 0.1485, 0.0426, 0.0055, 0.044, 0.0397, 0.0017]))
Row(prediction=10.0, features=DenseVector([21.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 40.0, 34.0]), label=6.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=2.0, features=DenseVector([21.0, 40.0, 44.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 40.0, 46.0]), label=11.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([21.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 40.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=10.0, features=DenseVector([21.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=6.0, features=DenseVector([21.0, 41.0, 41.0]), label=6.0, probability=DenseVector([0.133, 0.171, 0.0312, 0.0228, 0.0864, 0.0055, 0.2087, 0.0396, 0.0329, 0.0398, 0.1816, 0.0051, 0.041, 0.0012]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 48.0]), label=0.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=10.0, features=DenseVector([21.0, 42.0, 37.0]), label=6.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 45.0]), label=0.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 48.0]), label=6.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([21.0, 42.0, 52.0]), label=9.0, probability=DenseVector([0.0502, 0.1433, 0.1423, 0.1883, 0.014, 0.0154, 0.0397, 0.0932, 0.1466, 0.0551, 0.0076, 0.0499, 0.0526, 0.0019]))
Row(prediction=10.0, features=DenseVector([21.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.1889, 0.0559, 0.0045, 0.0023, 0.1672, 0.0001, 0.1923, 0.0245, 0.0263, 0.021, 0.2948, 0.0011, 0.021, 0.0]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 47.0]), label=6.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 47.0]), label=1.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([21.0, 43.0, 49.0]), label=9.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=10.0, features=DenseVector([21.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=10.0, features=DenseVector([21.0, 44.0, 37.0]), label=9.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=10.0, features=DenseVector([21.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.195, 0.0623, 0.0096, 0.0047, 0.1469, 0.0, 0.2348, 0.025, 0.0292, 0.0242, 0.2444, 0.0014, 0.0223, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 44.0, 42.0]), label=6.0, probability=DenseVector([0.0994, 0.1309, 0.1182, 0.0749, 0.0474, 0.0081, 0.2002, 0.0658, 0.0885, 0.059, 0.0405, 0.0212, 0.0438, 0.002]))
Row(prediction=6.0, features=DenseVector([21.0, 44.0, 42.0]), label=0.0, probability=DenseVector([0.0994, 0.1309, 0.1182, 0.0749, 0.0474, 0.0081, 0.2002, 0.0658, 0.0885, 0.059, 0.0405, 0.0212, 0.0438, 0.002]))
Row(prediction=6.0, features=DenseVector([21.0, 44.0, 42.0]), label=0.0, probability=DenseVector([0.0994, 0.1309, 0.1182, 0.0749, 0.0474, 0.0081, 0.2002, 0.0658, 0.0885, 0.059, 0.0405, 0.0212, 0.0438, 0.002]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 44.0]), label=6.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 44.0]), label=11.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 46.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([21.0, 44.0, 49.0]), label=6.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([21.0, 44.0, 49.0]), label=6.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 34.0]), label=6.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 38.0]), label=0.0, probability=DenseVector([0.2036, 0.0661, 0.0102, 0.0049, 0.1386, 0.0, 0.2483, 0.0254, 0.0306, 0.0251, 0.2237, 0.0014, 0.022, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 39.0]), label=6.0, probability=DenseVector([0.1827, 0.1261, 0.0169, 0.0052, 0.0938, 0.0, 0.2796, 0.0275, 0.027, 0.0386, 0.166, 0.0025, 0.0337, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 40.0]), label=6.0, probability=DenseVector([0.1827, 0.1261, 0.0169, 0.0052, 0.0938, 0.0, 0.2796, 0.0275, 0.027, 0.0386, 0.166, 0.0025, 0.0337, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 41.0]), label=0.0, probability=DenseVector([0.1475, 0.1409, 0.0512, 0.0178, 0.0732, 0.0002, 0.2757, 0.0347, 0.0348, 0.0511, 0.1283, 0.0063, 0.0363, 0.0018]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 42.0]), label=6.0, probability=DenseVector([0.0989, 0.1292, 0.1284, 0.0672, 0.0474, 0.0028, 0.2045, 0.0661, 0.0894, 0.0597, 0.0402, 0.0214, 0.0424, 0.0022]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 45.0]), label=6.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 45.0]), label=9.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 29.0]), label=0.0, probability=DenseVector([0.1828, 0.068, 0.0087, 0.0044, 0.0872, 0.0, 0.4279, 0.0311, 0.0352, 0.028, 0.1024, 0.0015, 0.0226, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 31.0]), label=6.0, probability=DenseVector([0.2106, 0.0634, 0.0093, 0.005, 0.1226, 0.0, 0.3103, 0.0233, 0.0333, 0.0243, 0.1762, 0.0015, 0.02, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 33.0]), label=0.0, probability=DenseVector([0.2106, 0.0634, 0.0093, 0.005, 0.1226, 0.0, 0.3103, 0.0233, 0.0333, 0.0243, 0.1762, 0.0015, 0.02, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 34.0]), label=0.0, probability=DenseVector([0.2106, 0.0634, 0.0093, 0.005, 0.1226, 0.0, 0.3103, 0.0233, 0.0333, 0.0243, 0.1762, 0.0015, 0.02, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.2117, 0.0631, 0.0108, 0.0071, 0.1229, 0.0, 0.2983, 0.023, 0.0359, 0.0273, 0.1769, 0.002, 0.0208, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 37.0]), label=6.0, probability=DenseVector([0.2084, 0.0652, 0.0119, 0.0084, 0.1236, 0.0, 0.2899, 0.0239, 0.0349, 0.0311, 0.1781, 0.0025, 0.0218, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 37.0]), label=6.0, probability=DenseVector([0.2084, 0.0652, 0.0119, 0.0084, 0.1236, 0.0, 0.2899, 0.0239, 0.0349, 0.0311, 0.1781, 0.0025, 0.0218, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 38.0]), label=0.0, probability=DenseVector([0.2004, 0.0698, 0.0129, 0.0088, 0.1216, 0.0, 0.2886, 0.024, 0.0334, 0.0326, 0.1821, 0.0026, 0.0229, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 38.0]), label=0.0, probability=DenseVector([0.2004, 0.0698, 0.0129, 0.0088, 0.1216, 0.0, 0.2886, 0.024, 0.0334, 0.0326, 0.1821, 0.0026, 0.0229, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 39.0]), label=6.0, probability=DenseVector([0.1803, 0.1198, 0.0197, 0.0092, 0.085, 0.0, 0.3139, 0.0259, 0.03, 0.0449, 0.1358, 0.0036, 0.0318, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 40.0]), label=0.0, probability=DenseVector([0.1795, 0.1207, 0.0253, 0.0105, 0.0858, 0.0, 0.3032, 0.027, 0.0324, 0.0446, 0.136, 0.0035, 0.0311, 0.0003]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 47.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 47.0]), label=1.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 27.0]), label=6.0, probability=DenseVector([0.1767, 0.0579, 0.0112, 0.0085, 0.0751, 0.0, 0.4862, 0.0237, 0.0338, 0.0291, 0.0761, 0.0024, 0.0192, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 28.0]), label=0.0, probability=DenseVector([0.1767, 0.0579, 0.0112, 0.0085, 0.0751, 0.0, 0.4862, 0.0237, 0.0338, 0.0291, 0.0761, 0.0024, 0.0192, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.1974, 0.0608, 0.0118, 0.009, 0.094, 0.0, 0.4053, 0.0223, 0.0361, 0.029, 0.1128, 0.0023, 0.019, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.1974, 0.0608, 0.0118, 0.009, 0.094, 0.0, 0.4053, 0.0223, 0.0361, 0.029, 0.1128, 0.0023, 0.019, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.197, 0.0616, 0.0159, 0.0131, 0.0941, 0.0, 0.3804, 0.0216, 0.0415, 0.036, 0.1141, 0.0033, 0.0211, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 39.0]), label=0.0, probability=DenseVector([0.1663, 0.1021, 0.024, 0.0152, 0.071, 0.0, 0.3826, 0.023, 0.035, 0.0492, 0.0977, 0.0044, 0.0291, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 41.0]), label=2.0, probability=DenseVector([0.1212, 0.106, 0.074, 0.0285, 0.0568, 0.0001, 0.3694, 0.0308, 0.0463, 0.0534, 0.0752, 0.0073, 0.0289, 0.002]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.1212, 0.106, 0.074, 0.0285, 0.0568, 0.0001, 0.3694, 0.0308, 0.0463, 0.0534, 0.0752, 0.0073, 0.0289, 0.002]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.1212, 0.106, 0.074, 0.0285, 0.0568, 0.0001, 0.3694, 0.0308, 0.0463, 0.0534, 0.0752, 0.0073, 0.0289, 0.002]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 42.0]), label=2.0, probability=DenseVector([0.0864, 0.1124, 0.1644, 0.0614, 0.0468, 0.0007, 0.2355, 0.0603, 0.0829, 0.0575, 0.035, 0.0184, 0.0327, 0.0057]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.0864, 0.1124, 0.1644, 0.0614, 0.0468, 0.0007, 0.2355, 0.0603, 0.0829, 0.0575, 0.035, 0.0184, 0.0327, 0.0057]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 42.0]), label=0.0, probability=DenseVector([0.0864, 0.1124, 0.1644, 0.0614, 0.0468, 0.0007, 0.2355, 0.0603, 0.0829, 0.0575, 0.035, 0.0184, 0.0327, 0.0057]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.0864, 0.1124, 0.1644, 0.0614, 0.0468, 0.0007, 0.2355, 0.0603, 0.0829, 0.0575, 0.035, 0.0184, 0.0327, 0.0057]))
Row(prediction=2.0, features=DenseVector([21.0, 47.0, 46.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 47.0, 46.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 47.0, 46.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 47.0, 49.0]), label=6.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 23.0]), label=6.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 24.0]), label=6.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 24.0]), label=6.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 29.0]), label=6.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 30.0]), label=6.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 31.0]), label=0.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 31.0]), label=0.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 32.0]), label=0.0, probability=DenseVector([0.1014, 0.0486, 0.0203, 0.0211, 0.0398, 0.0, 0.6264, 0.023, 0.0339, 0.0318, 0.0338, 0.0049, 0.0147, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.0999, 0.0498, 0.0228, 0.0231, 0.0396, 0.0, 0.6136, 0.0226, 0.0367, 0.0358, 0.0343, 0.0054, 0.016, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.0999, 0.0498, 0.0228, 0.0231, 0.0396, 0.0, 0.6136, 0.0226, 0.0367, 0.0358, 0.0343, 0.0054, 0.016, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 37.0]), label=6.0, probability=DenseVector([0.1095, 0.0519, 0.0298, 0.0272, 0.0432, 0.0, 0.5672, 0.0243, 0.0417, 0.043, 0.0389, 0.0065, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 38.0]), label=0.0, probability=DenseVector([0.1095, 0.0519, 0.0298, 0.0272, 0.0432, 0.0, 0.5672, 0.0243, 0.0417, 0.043, 0.0389, 0.0065, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.1095, 0.0519, 0.0298, 0.0272, 0.0432, 0.0, 0.5672, 0.0243, 0.0417, 0.043, 0.0389, 0.0065, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 39.0]), label=0.0, probability=DenseVector([0.1061, 0.0569, 0.0343, 0.0271, 0.0363, 0.0, 0.5803, 0.0247, 0.0428, 0.0446, 0.0227, 0.0069, 0.017, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 40.0]), label=0.0, probability=DenseVector([0.1053, 0.0578, 0.0398, 0.0285, 0.037, 0.0, 0.5695, 0.0259, 0.0452, 0.0443, 0.023, 0.0068, 0.0164, 0.0004]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.077, 0.1081, 0.1682, 0.0613, 0.0416, 0.0007, 0.2648, 0.0616, 0.0828, 0.0556, 0.0249, 0.0184, 0.0295, 0.0057]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.077, 0.1081, 0.1682, 0.0613, 0.0416, 0.0007, 0.2648, 0.0616, 0.0828, 0.0556, 0.0249, 0.0184, 0.0295, 0.0057]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 42.0]), label=0.0, probability=DenseVector([0.077, 0.1081, 0.1682, 0.0613, 0.0416, 0.0007, 0.2648, 0.0616, 0.0828, 0.0556, 0.0249, 0.0184, 0.0295, 0.0057]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.077, 0.1081, 0.1682, 0.0613, 0.0416, 0.0007, 0.2648, 0.0616, 0.0828, 0.0556, 0.0249, 0.0184, 0.0295, 0.0057]))
Row(prediction=2.0, features=DenseVector([21.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.0569, 0.11, 0.227, 0.0856, 0.0312, 0.0014, 0.1772, 0.071, 0.1025, 0.057, 0.0155, 0.0236, 0.031, 0.0101]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 26.0]), label=6.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 28.0]), label=6.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 31.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 33.0]), label=0.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.0941, 0.0491, 0.0253, 0.0259, 0.0379, 0.0, 0.6086, 0.0232, 0.0401, 0.0389, 0.0338, 0.0061, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.0941, 0.0491, 0.0253, 0.0259, 0.0379, 0.0, 0.6086, 0.0232, 0.0401, 0.0389, 0.0338, 0.0061, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 37.0]), label=0.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0913, 0.0528, 0.0365, 0.0291, 0.0316, 0.0, 0.6009, 0.0246, 0.0461, 0.0444, 0.0189, 0.0072, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0913, 0.0528, 0.0365, 0.0291, 0.0316, 0.0, 0.6009, 0.0246, 0.0461, 0.0444, 0.0189, 0.0072, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0913, 0.0528, 0.0365, 0.0291, 0.0316, 0.0, 0.6009, 0.0246, 0.0461, 0.0444, 0.0189, 0.0072, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0913, 0.0528, 0.0365, 0.0291, 0.0316, 0.0, 0.6009, 0.0246, 0.0461, 0.0444, 0.0189, 0.0072, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 39.0]), label=0.0, probability=DenseVector([0.0913, 0.0528, 0.0365, 0.0291, 0.0316, 0.0, 0.6009, 0.0246, 0.0461, 0.0444, 0.0189, 0.0072, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0913, 0.0528, 0.0365, 0.0291, 0.0316, 0.0, 0.6009, 0.0246, 0.0461, 0.0444, 0.0189, 0.0072, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0905, 0.0537, 0.0421, 0.0304, 0.0324, 0.0, 0.5901, 0.0258, 0.0485, 0.0441, 0.0191, 0.0072, 0.0156, 0.0004]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0905, 0.0537, 0.0421, 0.0304, 0.0324, 0.0, 0.5901, 0.0258, 0.0485, 0.0441, 0.0191, 0.0072, 0.0156, 0.0004]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0905, 0.0537, 0.0421, 0.0304, 0.0324, 0.0, 0.5901, 0.0258, 0.0485, 0.0441, 0.0191, 0.0072, 0.0156, 0.0004]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 40.0]), label=0.0, probability=DenseVector([0.0905, 0.0537, 0.0421, 0.0304, 0.0324, 0.0, 0.5901, 0.0258, 0.0485, 0.0441, 0.0191, 0.0072, 0.0156, 0.0004]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 41.0]), label=0.0, probability=DenseVector([0.083, 0.0652, 0.0819, 0.0369, 0.0395, 0.0001, 0.5072, 0.0315, 0.0539, 0.0488, 0.0224, 0.0089, 0.0188, 0.002]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 42.0]), label=2.0, probability=DenseVector([0.077, 0.1081, 0.1682, 0.0613, 0.0416, 0.0007, 0.2648, 0.0616, 0.0828, 0.0556, 0.0249, 0.0184, 0.0295, 0.0057]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.077, 0.1081, 0.1682, 0.0613, 0.0416, 0.0007, 0.2648, 0.0616, 0.0828, 0.0556, 0.0249, 0.0184, 0.0295, 0.0057]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.077, 0.1081, 0.1682, 0.0613, 0.0416, 0.0007, 0.2648, 0.0616, 0.0828, 0.0556, 0.0249, 0.0184, 0.0295, 0.0057]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 42.0]), label=0.0, probability=DenseVector([0.077, 0.1081, 0.1682, 0.0613, 0.0416, 0.0007, 0.2648, 0.0616, 0.0828, 0.0556, 0.0249, 0.0184, 0.0295, 0.0057]))
Row(prediction=2.0, features=DenseVector([21.0, 49.0, 43.0]), label=0.0, probability=DenseVector([0.0569, 0.11, 0.227, 0.0856, 0.0312, 0.0014, 0.1772, 0.071, 0.1025, 0.057, 0.0155, 0.0236, 0.031, 0.0101]))
Row(prediction=2.0, features=DenseVector([21.0, 49.0, 43.0]), label=11.0, probability=DenseVector([0.0569, 0.11, 0.227, 0.0856, 0.0312, 0.0014, 0.1772, 0.071, 0.1025, 0.057, 0.0155, 0.0236, 0.031, 0.0101]))
Row(prediction=2.0, features=DenseVector([21.0, 49.0, 44.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 49.0, 48.0]), label=6.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=2.0, features=DenseVector([21.0, 49.0, 48.0]), label=6.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 31.0]), label=0.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 34.0]), label=0.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 34.0]), label=0.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 35.0]), label=0.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.0941, 0.0491, 0.0253, 0.0259, 0.0379, 0.0, 0.6086, 0.0232, 0.0401, 0.0389, 0.0338, 0.0061, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.0941, 0.0491, 0.0253, 0.0259, 0.0379, 0.0, 0.6086, 0.0232, 0.0401, 0.0389, 0.0338, 0.0061, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.0941, 0.0491, 0.0253, 0.0259, 0.0379, 0.0, 0.6086, 0.0232, 0.0401, 0.0389, 0.0338, 0.0061, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0913, 0.0528, 0.0365, 0.0291, 0.0316, 0.0, 0.6009, 0.0246, 0.0461, 0.0444, 0.0189, 0.0072, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 39.0]), label=0.0, probability=DenseVector([0.0913, 0.0528, 0.0365, 0.0291, 0.0316, 0.0, 0.6009, 0.0246, 0.0461, 0.0444, 0.0189, 0.0072, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.083, 0.0652, 0.0819, 0.0369, 0.0395, 0.0001, 0.5072, 0.0315, 0.0539, 0.0488, 0.0224, 0.0089, 0.0188, 0.002]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.083, 0.0652, 0.0819, 0.0369, 0.0395, 0.0001, 0.5072, 0.0315, 0.0539, 0.0488, 0.0224, 0.0089, 0.0188, 0.002]))
Row(prediction=2.0, features=DenseVector([21.0, 50.0, 48.0]), label=6.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 20.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 27.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 29.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 31.0]), label=0.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 33.0]), label=0.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 33.0]), label=0.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 38.0]), label=0.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 38.0]), label=0.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 41.0]), label=0.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=2.0, features=DenseVector([21.0, 51.0, 43.0]), label=6.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=2.0, features=DenseVector([21.0, 51.0, 45.0]), label=6.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=2.0, features=DenseVector([21.0, 51.0, 48.0]), label=0.0, probability=DenseVector([0.0435, 0.1074, 0.2143, 0.1198, 0.03, 0.0016, 0.1189, 0.0774, 0.1163, 0.0793, 0.0191, 0.0289, 0.0372, 0.0065]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 25.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 27.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 35.0]), label=0.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 40.0]), label=6.0, probability=DenseVector([0.0725, 0.0392, 0.0568, 0.0366, 0.0329, 0.0, 0.5783, 0.0292, 0.0612, 0.0486, 0.0155, 0.0124, 0.0166, 0.0002]))
Row(prediction=2.0, features=DenseVector([21.0, 52.0, 43.0]), label=6.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=6.0, features=DenseVector([21.0, 53.0, 27.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 53.0, 28.0]), label=0.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0674, 0.0328, 0.0138, 0.023, 0.0217, 0.0, 0.7414, 0.0184, 0.0301, 0.0285, 0.0037, 0.0051, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 53.0, 41.0]), label=6.0, probability=DenseVector([0.0646, 0.0505, 0.0931, 0.0426, 0.0407, 0.0001, 0.5068, 0.0325, 0.059, 0.0563, 0.0177, 0.0148, 0.0192, 0.0023]))
Row(prediction=2.0, features=DenseVector([21.0, 53.0, 44.0]), label=6.0, probability=DenseVector([0.0526, 0.1001, 0.2175, 0.0813, 0.0379, 0.0009, 0.1664, 0.0705, 0.1074, 0.0714, 0.0255, 0.024, 0.0359, 0.0087]))
Row(prediction=6.0, features=DenseVector([21.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0762, 0.0376, 0.0229, 0.0314, 0.0245, 0.0, 0.6791, 0.0183, 0.0418, 0.0374, 0.0074, 0.0067, 0.0165, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 54.0, 39.0]), label=6.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 54.0, 41.0]), label=0.0, probability=DenseVector([0.0642, 0.0537, 0.089, 0.0435, 0.0412, 0.0001, 0.5094, 0.0307, 0.0568, 0.058, 0.017, 0.0133, 0.0199, 0.0031]))
Row(prediction=6.0, features=DenseVector([21.0, 55.0, 32.0]), label=6.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 55.0, 40.0]), label=6.0, probability=DenseVector([0.0718, 0.0422, 0.0493, 0.037, 0.034, 0.0, 0.5924, 0.025, 0.0515, 0.0532, 0.0137, 0.0116, 0.0167, 0.0015]))
Row(prediction=6.0, features=DenseVector([21.0, 55.0, 41.0]), label=6.0, probability=DenseVector([0.0642, 0.0537, 0.089, 0.0435, 0.0412, 0.0001, 0.5094, 0.0307, 0.0568, 0.058, 0.017, 0.0133, 0.0199, 0.0031]))
Row(prediction=6.0, features=DenseVector([21.0, 56.0, 33.0]), label=6.0, probability=DenseVector([0.0662, 0.034, 0.0149, 0.0231, 0.021, 0.0, 0.7404, 0.0167, 0.0321, 0.0299, 0.0048, 0.0049, 0.012, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 56.0, 35.0]), label=6.0, probability=DenseVector([0.0675, 0.035, 0.0189, 0.0259, 0.0211, 0.0, 0.7204, 0.0165, 0.0357, 0.0341, 0.0059, 0.0054, 0.0134, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 56.0, 39.0]), label=6.0, probability=DenseVector([0.0728, 0.0349, 0.0248, 0.0298, 0.0231, 0.0, 0.6889, 0.0181, 0.0407, 0.0385, 0.0082, 0.0063, 0.0139, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 57.0, 29.0]), label=6.0, probability=DenseVector([0.0421, 0.0248, 0.0091, 0.0147, 0.0133, 0.0, 0.8229, 0.0119, 0.0201, 0.026, 0.0026, 0.0033, 0.0092, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 57.0, 39.0]), label=6.0, probability=DenseVector([0.0583, 0.0315, 0.0213, 0.0249, 0.0189, 0.0, 0.7332, 0.0144, 0.0345, 0.0389, 0.0074, 0.0052, 0.0116, 0.0001]))
Row(prediction=2.0, features=DenseVector([21.0, 57.0, 45.0]), label=0.0, probability=DenseVector([0.0494, 0.0955, 0.1965, 0.0807, 0.0399, 0.0009, 0.1867, 0.0655, 0.1043, 0.0944, 0.0208, 0.0227, 0.0342, 0.0086]))
Row(prediction=6.0, features=DenseVector([21.0, 58.0, 28.0]), label=6.0, probability=DenseVector([0.0421, 0.0248, 0.0091, 0.0147, 0.0133, 0.0, 0.8229, 0.0119, 0.0201, 0.026, 0.0026, 0.0033, 0.0092, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 58.0, 32.0]), label=6.0, probability=DenseVector([0.0469, 0.03, 0.0114, 0.0174, 0.0153, 0.0, 0.7949, 0.0116, 0.025, 0.0302, 0.0039, 0.0037, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 58.0, 33.0]), label=6.0, probability=DenseVector([0.0469, 0.03, 0.0114, 0.0174, 0.0153, 0.0, 0.7949, 0.0116, 0.025, 0.0302, 0.0039, 0.0037, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 58.0, 38.0]), label=6.0, probability=DenseVector([0.0583, 0.0315, 0.0213, 0.0249, 0.0189, 0.0, 0.7332, 0.0144, 0.0345, 0.0389, 0.0074, 0.0052, 0.0116, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 60.0, 34.0]), label=6.0, probability=DenseVector([0.0451, 0.0291, 0.0114, 0.0169, 0.0152, 0.0, 0.8008, 0.0112, 0.024, 0.0293, 0.0038, 0.0037, 0.0095, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 61.0, 19.0]), label=6.0, probability=DenseVector([0.0403, 0.0239, 0.0091, 0.0142, 0.0132, 0.0, 0.8288, 0.0115, 0.0191, 0.0251, 0.0024, 0.0033, 0.009, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 61.0, 39.0]), label=6.0, probability=DenseVector([0.0565, 0.0306, 0.0213, 0.0244, 0.0189, 0.0, 0.7391, 0.014, 0.0335, 0.0379, 0.0072, 0.0052, 0.0114, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 62.0, 21.0]), label=6.0, probability=DenseVector([0.0403, 0.0239, 0.0091, 0.0142, 0.0132, 0.0, 0.8288, 0.0115, 0.0191, 0.0251, 0.0024, 0.0033, 0.009, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 62.0, 35.0]), label=6.0, probability=DenseVector([0.0512, 0.0307, 0.0154, 0.0205, 0.0169, 0.0, 0.7706, 0.0124, 0.0285, 0.0335, 0.0049, 0.0043, 0.0108, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 63.0, 13.0]), label=6.0, probability=DenseVector([0.0403, 0.0239, 0.0091, 0.0142, 0.0132, 0.0, 0.8288, 0.0115, 0.0191, 0.0251, 0.0024, 0.0033, 0.009, 0.0001]))
Row(prediction=1.0, features=DenseVector([22.0, 11.0, 42.0]), label=6.0, probability=DenseVector([0.0385, 0.2739, 0.0065, 0.2504, 0.0231, 0.0913, 0.1099, 0.0316, 0.0303, 0.0207, 0.038, 0.0085, 0.0771, 0.0001]))
Row(prediction=3.0, features=DenseVector([22.0, 16.0, 48.0]), label=12.0, probability=DenseVector([0.0148, 0.2234, 0.0252, 0.4461, 0.0033, 0.0156, 0.029, 0.0555, 0.0593, 0.0247, 0.0022, 0.0216, 0.0786, 0.0007]))
Row(prediction=3.0, features=DenseVector([22.0, 22.0, 45.0]), label=6.0, probability=DenseVector([0.0243, 0.2647, 0.018, 0.3627, 0.0112, 0.0262, 0.072, 0.0463, 0.0486, 0.0243, 0.0037, 0.0144, 0.0821, 0.0015]))
Row(prediction=6.0, features=DenseVector([22.0, 25.0, 35.0]), label=6.0, probability=DenseVector([0.0877, 0.1338, 0.0033, 0.0197, 0.1276, 0.0052, 0.2622, 0.019, 0.0121, 0.0462, 0.2537, 0.0008, 0.0286, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 25.0, 42.0]), label=6.0, probability=DenseVector([0.0489, 0.2449, 0.0147, 0.2287, 0.0315, 0.0617, 0.1301, 0.0407, 0.0412, 0.0257, 0.0461, 0.0099, 0.0746, 0.0012]))
Row(prediction=6.0, features=DenseVector([22.0, 26.0, 32.0]), label=6.0, probability=DenseVector([0.0866, 0.1342, 0.0012, 0.0181, 0.1272, 0.0052, 0.2746, 0.0191, 0.0099, 0.0431, 0.2529, 0.0005, 0.0273, 0.0]))
Row(prediction=6.0, features=DenseVector([22.0, 27.0, 33.0]), label=6.0, probability=DenseVector([0.0882, 0.0763, 0.0012, 0.0024, 0.1308, 0.0001, 0.3299, 0.0204, 0.0097, 0.0597, 0.2558, 0.0026, 0.0229, 0.0]))
Row(prediction=6.0, features=DenseVector([22.0, 27.0, 36.0]), label=6.0, probability=DenseVector([0.0893, 0.0759, 0.0033, 0.0041, 0.1311, 0.0001, 0.3175, 0.0203, 0.0119, 0.0629, 0.2567, 0.0029, 0.0241, 0.0]))
Row(prediction=6.0, features=DenseVector([22.0, 27.0, 37.0]), label=6.0, probability=DenseVector([0.0893, 0.0759, 0.0033, 0.0041, 0.1311, 0.0001, 0.3175, 0.0203, 0.0119, 0.0629, 0.2567, 0.0029, 0.0241, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 50.0]), label=0.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 48.0]), label=0.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=6.0, features=DenseVector([22.0, 30.0, 34.0]), label=6.0, probability=DenseVector([0.0973, 0.0657, 0.0013, 0.0022, 0.1423, 0.0001, 0.3048, 0.0207, 0.0106, 0.0506, 0.2773, 0.0069, 0.0201, 0.0]))
Row(prediction=6.0, features=DenseVector([22.0, 30.0, 39.0]), label=6.0, probability=DenseVector([0.0949, 0.1377, 0.0094, 0.0142, 0.07, 0.0041, 0.4017, 0.0172, 0.017, 0.0526, 0.1394, 0.0021, 0.0396, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 53.0]), label=0.0, probability=DenseVector([0.0143, 0.2226, 0.0288, 0.3912, 0.0036, 0.0105, 0.0203, 0.082, 0.0764, 0.0281, 0.0009, 0.0361, 0.0839, 0.001]))
Row(prediction=1.0, features=DenseVector([22.0, 31.0, 42.0]), label=9.0, probability=DenseVector([0.0604, 0.2179, 0.0364, 0.18, 0.0395, 0.012, 0.1627, 0.0519, 0.056, 0.0441, 0.0518, 0.0129, 0.0732, 0.0014]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 47.0]), label=9.0, probability=DenseVector([0.0338, 0.2126, 0.0607, 0.3325, 0.013, 0.015, 0.0516, 0.0654, 0.0763, 0.0347, 0.0066, 0.0207, 0.0748, 0.0022]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 49.0]), label=0.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 49.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 49.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 51.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([22.0, 32.0, 39.0]), label=6.0, probability=DenseVector([0.12, 0.129, 0.0095, 0.0046, 0.1009, 0.0, 0.2922, 0.0211, 0.0183, 0.043, 0.222, 0.0022, 0.0372, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 47.0]), label=0.0, probability=DenseVector([0.0338, 0.2126, 0.0607, 0.3325, 0.013, 0.015, 0.0516, 0.0654, 0.0763, 0.0347, 0.0066, 0.0207, 0.0748, 0.0022]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 47.0]), label=6.0, probability=DenseVector([0.0338, 0.2126, 0.0607, 0.3325, 0.013, 0.015, 0.0516, 0.0654, 0.0763, 0.0347, 0.0066, 0.0207, 0.0748, 0.0022]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 49.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 49.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 54.0]), label=12.0, probability=DenseVector([0.0146, 0.2271, 0.0267, 0.3781, 0.0042, 0.0104, 0.0201, 0.0812, 0.0781, 0.0338, 0.0014, 0.0369, 0.0863, 0.001]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 48.0]), label=0.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 48.0]), label=6.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 49.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 53.0]), label=11.0, probability=DenseVector([0.0131, 0.196, 0.0385, 0.4079, 0.0027, 0.0104, 0.0184, 0.0819, 0.0984, 0.0312, 0.0011, 0.032, 0.0669, 0.0015]))
Row(prediction=10.0, features=DenseVector([22.0, 34.0, 35.0]), label=6.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 34.0, 36.0]), label=6.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 34.0, 44.0]), label=6.0, probability=DenseVector([0.0495, 0.2025, 0.0946, 0.2021, 0.0189, 0.0209, 0.0702, 0.0954, 0.1073, 0.0354, 0.0092, 0.027, 0.0642, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 49.0]), label=11.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 50.0]), label=0.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 51.0]), label=6.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 51.0]), label=6.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0303, 0.1707, 0.0931, 0.2748, 0.0087, 0.0243, 0.0235, 0.1048, 0.1389, 0.0408, 0.0047, 0.0388, 0.0446, 0.0019]))
Row(prediction=1.0, features=DenseVector([22.0, 35.0, 46.0]), label=6.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 49.0]), label=11.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 49.0]), label=6.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 51.0]), label=6.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0356, 0.1657, 0.1082, 0.2333, 0.0093, 0.0241, 0.0259, 0.1156, 0.1536, 0.0398, 0.005, 0.0427, 0.0393, 0.0018]))
Row(prediction=10.0, features=DenseVector([22.0, 36.0, 31.0]), label=6.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 36.0, 37.0]), label=6.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 49.0]), label=3.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 49.0]), label=9.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 52.0]), label=6.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 55.0]), label=11.0, probability=DenseVector([0.0371, 0.1847, 0.0998, 0.193, 0.0113, 0.0236, 0.0283, 0.1116, 0.1462, 0.0543, 0.0061, 0.0505, 0.0522, 0.0015]))
Row(prediction=10.0, features=DenseVector([22.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 37.0, 42.0]), label=6.0, probability=DenseVector([0.0805, 0.1805, 0.0669, 0.1248, 0.0449, 0.0093, 0.1257, 0.0874, 0.0921, 0.0393, 0.0667, 0.0244, 0.0559, 0.0015]))
Row(prediction=1.0, features=DenseVector([22.0, 37.0, 43.0]), label=0.0, probability=DenseVector([0.061, 0.1876, 0.0961, 0.1664, 0.0232, 0.0169, 0.0826, 0.1033, 0.1154, 0.0386, 0.0174, 0.0311, 0.0581, 0.0022]))
Row(prediction=1.0, features=DenseVector([22.0, 37.0, 45.0]), label=6.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 48.0]), label=1.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.1362, 0.0524, 0.0046, 0.0042, 0.1755, 0.0, 0.1717, 0.0241, 0.0163, 0.0189, 0.3758, 0.001, 0.0193, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 39.0]), label=6.0, probability=DenseVector([0.1402, 0.1156, 0.0113, 0.0047, 0.1125, 0.0, 0.2406, 0.0256, 0.0211, 0.0389, 0.2538, 0.0026, 0.0331, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 39.0]), label=6.0, probability=DenseVector([0.1402, 0.1156, 0.0113, 0.0047, 0.1125, 0.0, 0.2406, 0.0256, 0.0211, 0.0389, 0.2538, 0.0026, 0.0331, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 38.0, 42.0]), label=6.0, probability=DenseVector([0.0805, 0.1805, 0.0669, 0.1248, 0.0449, 0.0093, 0.1257, 0.0874, 0.0921, 0.0393, 0.0667, 0.0244, 0.0559, 0.0015]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 49.0]), label=6.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 49.0]), label=6.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=10.0, features=DenseVector([22.0, 39.0, 31.0]), label=6.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 39.0, 38.0]), label=6.0, probability=DenseVector([0.1362, 0.0524, 0.0046, 0.0042, 0.1755, 0.0, 0.1717, 0.0241, 0.0163, 0.0189, 0.3758, 0.001, 0.0193, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 39.0, 44.0]), label=6.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([22.0, 39.0, 44.0]), label=0.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([22.0, 39.0, 47.0]), label=6.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 52.0]), label=6.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 63.0]), label=9.0, probability=DenseVector([0.0359, 0.1827, 0.0962, 0.1866, 0.0121, 0.0234, 0.0289, 0.1078, 0.1476, 0.0645, 0.008, 0.0495, 0.0554, 0.0014]))
Row(prediction=6.0, features=DenseVector([22.0, 40.0, 25.0]), label=0.0, probability=DenseVector([0.1007, 0.066, 0.0014, 0.0018, 0.1289, 0.0, 0.353, 0.0286, 0.0168, 0.02, 0.2615, 0.0006, 0.0207, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 40.0, 39.0]), label=6.0, probability=DenseVector([0.1402, 0.1156, 0.0113, 0.0047, 0.1125, 0.0, 0.2406, 0.0256, 0.0211, 0.0389, 0.2538, 0.0026, 0.0331, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 40.0, 40.0]), label=6.0, probability=DenseVector([0.1402, 0.1156, 0.0113, 0.0047, 0.1125, 0.0, 0.2406, 0.0256, 0.0211, 0.0389, 0.2538, 0.0026, 0.0331, 0.0]))
Row(prediction=2.0, features=DenseVector([22.0, 40.0, 44.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 40.0, 45.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 40.0, 47.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=6.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=0.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 50.0]), label=0.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=6.0, features=DenseVector([22.0, 41.0, 20.0]), label=6.0, probability=DenseVector([0.1007, 0.066, 0.0014, 0.0018, 0.1289, 0.0, 0.353, 0.0286, 0.0168, 0.02, 0.2615, 0.0006, 0.0207, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=2.0, features=DenseVector([22.0, 41.0, 47.0]), label=11.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=11.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=9.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 49.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 50.0]), label=6.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=10.0, features=DenseVector([22.0, 42.0, 33.0]), label=6.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 42.0, 37.0]), label=6.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 42.0, 37.0]), label=6.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 42.0, 37.0]), label=6.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 42.0, 39.0]), label=6.0, probability=DenseVector([0.1402, 0.1156, 0.0113, 0.0047, 0.1125, 0.0, 0.2406, 0.0256, 0.0211, 0.0389, 0.2538, 0.0026, 0.0331, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 42.0, 43.0]), label=6.0, probability=DenseVector([0.0741, 0.1568, 0.1448, 0.1025, 0.0337, 0.0112, 0.1148, 0.0833, 0.1135, 0.053, 0.0272, 0.0283, 0.0543, 0.0024]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 47.0]), label=11.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=3.0, features=DenseVector([22.0, 42.0, 49.0]), label=6.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([22.0, 42.0, 49.0]), label=6.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([22.0, 42.0, 49.0]), label=9.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([22.0, 42.0, 50.0]), label=6.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([22.0, 42.0, 52.0]), label=0.0, probability=DenseVector([0.0502, 0.1433, 0.1423, 0.1883, 0.014, 0.0154, 0.0397, 0.0932, 0.1466, 0.0551, 0.0076, 0.0499, 0.0526, 0.0019]))
Row(prediction=6.0, features=DenseVector([22.0, 43.0, 27.0]), label=6.0, probability=DenseVector([0.151, 0.0756, 0.0044, 0.0025, 0.1041, 0.0001, 0.3881, 0.0275, 0.0282, 0.0284, 0.1655, 0.0012, 0.0233, 0.0]))
Row(prediction=6.0, features=DenseVector([22.0, 43.0, 29.0]), label=6.0, probability=DenseVector([0.151, 0.0756, 0.0044, 0.0025, 0.1041, 0.0001, 0.3881, 0.0275, 0.0282, 0.0284, 0.1655, 0.0012, 0.0233, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 43.0, 32.0]), label=6.0, probability=DenseVector([0.1787, 0.0573, 0.0046, 0.0029, 0.15, 0.0001, 0.2384, 0.0226, 0.0254, 0.0225, 0.2762, 0.0012, 0.0202, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.1787, 0.0573, 0.0046, 0.0029, 0.15, 0.0001, 0.2384, 0.0226, 0.0254, 0.0225, 0.2762, 0.0012, 0.0202, 0.0]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 44.0]), label=6.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 48.0]), label=9.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=6.0, features=DenseVector([22.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.1927, 0.0591, 0.0086, 0.0049, 0.1317, 0.0, 0.2823, 0.0229, 0.0297, 0.0242, 0.2219, 0.0014, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 44.0, 36.0]), label=6.0, probability=DenseVector([0.1938, 0.0587, 0.0106, 0.0065, 0.1321, 0.0, 0.2698, 0.0228, 0.0319, 0.0273, 0.2227, 0.0017, 0.0217, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.1938, 0.0587, 0.0106, 0.0065, 0.1321, 0.0, 0.2698, 0.0228, 0.0319, 0.0273, 0.2227, 0.0017, 0.0217, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 44.0, 41.0]), label=6.0, probability=DenseVector([0.149, 0.1362, 0.0409, 0.0255, 0.0756, 0.0055, 0.2809, 0.0332, 0.0342, 0.0535, 0.1218, 0.006, 0.036, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 44.0, 52.0]), label=11.0, probability=DenseVector([0.0498, 0.1434, 0.1473, 0.1859, 0.0148, 0.0154, 0.0428, 0.0926, 0.1463, 0.0557, 0.0078, 0.0496, 0.0466, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 44.0, 52.0]), label=9.0, probability=DenseVector([0.0498, 0.1434, 0.1473, 0.1859, 0.0148, 0.0154, 0.0428, 0.0926, 0.1463, 0.0557, 0.0078, 0.0496, 0.0466, 0.0019]))
Row(prediction=6.0, features=DenseVector([22.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.1927, 0.0591, 0.0086, 0.0049, 0.1317, 0.0, 0.2823, 0.0229, 0.0297, 0.0242, 0.2219, 0.0014, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 45.0, 37.0]), label=0.0, probability=DenseVector([0.1938, 0.0587, 0.0106, 0.0065, 0.1321, 0.0, 0.2698, 0.0228, 0.0319, 0.0273, 0.2227, 0.0017, 0.0217, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 45.0, 39.0]), label=6.0, probability=DenseVector([0.166, 0.117, 0.0184, 0.0073, 0.0879, 0.0, 0.3093, 0.0239, 0.0272, 0.0452, 0.162, 0.0028, 0.0328, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.1486, 0.1346, 0.0512, 0.0178, 0.0756, 0.0002, 0.2852, 0.0334, 0.0351, 0.0542, 0.1215, 0.0062, 0.0346, 0.0018]))
Row(prediction=6.0, features=DenseVector([22.0, 45.0, 42.0]), label=6.0, probability=DenseVector([0.0989, 0.1292, 0.1284, 0.0672, 0.0474, 0.0028, 0.2045, 0.0661, 0.0894, 0.0597, 0.0402, 0.0214, 0.0424, 0.0022]))
Row(prediction=6.0, features=DenseVector([22.0, 45.0, 42.0]), label=0.0, probability=DenseVector([0.0989, 0.1292, 0.1284, 0.0672, 0.0474, 0.0028, 0.2045, 0.0661, 0.0894, 0.0597, 0.0402, 0.0214, 0.0424, 0.0022]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 43.0]), label=6.0, probability=DenseVector([0.0792, 0.1296, 0.1736, 0.0907, 0.0373, 0.0035, 0.1338, 0.0767, 0.1126, 0.0613, 0.0247, 0.0283, 0.0445, 0.0041]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 46.0]), label=0.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 48.0]), label=9.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 28.0]), label=6.0, probability=DenseVector([0.17, 0.0781, 0.0086, 0.005, 0.0769, 0.0, 0.4579, 0.0269, 0.0341, 0.03, 0.0888, 0.0016, 0.0217, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 32.0]), label=0.0, probability=DenseVector([0.1917, 0.061, 0.0087, 0.0054, 0.1138, 0.0, 0.3429, 0.021, 0.0309, 0.0248, 0.1783, 0.0016, 0.0195, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 34.0]), label=0.0, probability=DenseVector([0.1917, 0.061, 0.0087, 0.0054, 0.1138, 0.0, 0.3429, 0.021, 0.0309, 0.0248, 0.1783, 0.0016, 0.0195, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 37.0]), label=0.0, probability=DenseVector([0.1906, 0.0624, 0.0134, 0.0105, 0.1152, 0.0, 0.3102, 0.0215, 0.0347, 0.0347, 0.181, 0.0029, 0.0226, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 39.0]), label=0.0, probability=DenseVector([0.1624, 0.117, 0.0212, 0.0113, 0.0767, 0.0, 0.3342, 0.0235, 0.0298, 0.0485, 0.1387, 0.004, 0.0326, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 39.0]), label=6.0, probability=DenseVector([0.1624, 0.117, 0.0212, 0.0113, 0.0767, 0.0, 0.3342, 0.0235, 0.0298, 0.0485, 0.1387, 0.004, 0.0326, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 39.0]), label=6.0, probability=DenseVector([0.1624, 0.117, 0.0212, 0.0113, 0.0767, 0.0, 0.3342, 0.0235, 0.0298, 0.0485, 0.1387, 0.004, 0.0326, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 39.0]), label=0.0, probability=DenseVector([0.1624, 0.117, 0.0212, 0.0113, 0.0767, 0.0, 0.3342, 0.0235, 0.0298, 0.0485, 0.1387, 0.004, 0.0326, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 40.0]), label=9.0, probability=DenseVector([0.1617, 0.1179, 0.0267, 0.0126, 0.0774, 0.0, 0.3234, 0.0247, 0.0322, 0.0482, 0.139, 0.0039, 0.032, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 40.0]), label=6.0, probability=DenseVector([0.1617, 0.1179, 0.0267, 0.0126, 0.0774, 0.0, 0.3234, 0.0247, 0.0322, 0.0482, 0.139, 0.0039, 0.032, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 42.0]), label=9.0, probability=DenseVector([0.0945, 0.1208, 0.1531, 0.0608, 0.0478, 0.0008, 0.2191, 0.061, 0.0814, 0.0619, 0.0399, 0.0187, 0.0345, 0.0057]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 42.0]), label=11.0, probability=DenseVector([0.0945, 0.1208, 0.1531, 0.0608, 0.0478, 0.0008, 0.2191, 0.061, 0.0814, 0.0619, 0.0399, 0.0187, 0.0345, 0.0057]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 44.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 44.0]), label=11.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 46.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 47.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 48.0]), label=0.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 48.0]), label=9.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 48.0]), label=0.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 49.0]), label=9.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 17.0]), label=0.0, probability=DenseVector([0.164, 0.068, 0.0111, 0.0091, 0.0648, 0.0, 0.5162, 0.0195, 0.0326, 0.0311, 0.0624, 0.0025, 0.0184, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 19.0]), label=6.0, probability=DenseVector([0.164, 0.068, 0.0111, 0.0091, 0.0648, 0.0, 0.5162, 0.0195, 0.0326, 0.0311, 0.0624, 0.0025, 0.0184, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 29.0]), label=6.0, probability=DenseVector([0.164, 0.068, 0.0111, 0.0091, 0.0648, 0.0, 0.5162, 0.0195, 0.0326, 0.0311, 0.0624, 0.0025, 0.0184, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 35.0]), label=9.0, probability=DenseVector([0.1781, 0.0592, 0.0158, 0.0131, 0.0854, 0.0, 0.4127, 0.0195, 0.0387, 0.0366, 0.1163, 0.0032, 0.0211, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 35.0]), label=6.0, probability=DenseVector([0.1781, 0.0592, 0.0158, 0.0131, 0.0854, 0.0, 0.4127, 0.0195, 0.0387, 0.0366, 0.1163, 0.0032, 0.0211, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.1792, 0.0588, 0.0174, 0.0152, 0.0857, 0.0, 0.4007, 0.0193, 0.0413, 0.0396, 0.117, 0.0037, 0.0219, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.1792, 0.0588, 0.0174, 0.0152, 0.0857, 0.0, 0.4007, 0.0193, 0.0413, 0.0396, 0.117, 0.0037, 0.0219, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 37.0]), label=6.0, probability=DenseVector([0.1759, 0.061, 0.0185, 0.0165, 0.0864, 0.0, 0.3923, 0.0201, 0.0403, 0.0434, 0.1182, 0.0042, 0.0229, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 37.0]), label=0.0, probability=DenseVector([0.1759, 0.061, 0.0185, 0.0165, 0.0864, 0.0, 0.3923, 0.0201, 0.0403, 0.0434, 0.1182, 0.0042, 0.0229, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 38.0]), label=0.0, probability=DenseVector([0.1679, 0.0656, 0.0194, 0.0169, 0.0845, 0.0, 0.391, 0.0203, 0.0388, 0.0448, 0.1221, 0.0043, 0.024, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 39.0]), label=2.0, probability=DenseVector([0.1484, 0.0993, 0.0255, 0.0173, 0.0626, 0.0, 0.4028, 0.0206, 0.0348, 0.0528, 0.1007, 0.0048, 0.0299, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 39.0]), label=0.0, probability=DenseVector([0.1484, 0.0993, 0.0255, 0.0173, 0.0626, 0.0, 0.4028, 0.0206, 0.0348, 0.0528, 0.1007, 0.0048, 0.0299, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.1484, 0.0993, 0.0255, 0.0173, 0.0626, 0.0, 0.4028, 0.0206, 0.0348, 0.0528, 0.1007, 0.0048, 0.0299, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.1484, 0.0993, 0.0255, 0.0173, 0.0626, 0.0, 0.4028, 0.0206, 0.0348, 0.0528, 0.1007, 0.0048, 0.0299, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.1484, 0.0993, 0.0255, 0.0173, 0.0626, 0.0, 0.4028, 0.0206, 0.0348, 0.0528, 0.1007, 0.0048, 0.0299, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 40.0]), label=6.0, probability=DenseVector([0.1477, 0.1002, 0.0311, 0.0187, 0.0634, 0.0, 0.392, 0.0218, 0.0372, 0.0525, 0.1009, 0.0048, 0.0293, 0.0004]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.1212, 0.106, 0.074, 0.0285, 0.0568, 0.0001, 0.3694, 0.0308, 0.0463, 0.0534, 0.0752, 0.0073, 0.0289, 0.002]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 43.0]), label=6.0, probability=DenseVector([0.0626, 0.1112, 0.2264, 0.0857, 0.0345, 0.0014, 0.1611, 0.0696, 0.1031, 0.059, 0.0192, 0.024, 0.0324, 0.0101]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 44.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 45.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 30.0]), label=0.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 31.0]), label=0.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.0878, 0.0461, 0.0243, 0.0252, 0.038, 0.0, 0.6238, 0.0212, 0.0373, 0.0387, 0.0345, 0.0058, 0.017, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 35.0]), label=6.0, probability=DenseVector([0.0878, 0.0461, 0.0243, 0.0252, 0.038, 0.0, 0.6238, 0.0212, 0.0373, 0.0387, 0.0345, 0.0058, 0.017, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 36.0]), label=6.0, probability=DenseVector([0.0916, 0.0459, 0.0272, 0.0281, 0.0391, 0.0, 0.6027, 0.0217, 0.041, 0.0422, 0.0359, 0.0065, 0.0179, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 37.0]), label=6.0, probability=DenseVector([0.0974, 0.0482, 0.0312, 0.0292, 0.0416, 0.0, 0.5774, 0.0228, 0.0423, 0.0459, 0.0391, 0.0069, 0.0176, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 37.0]), label=0.0, probability=DenseVector([0.0974, 0.0482, 0.0312, 0.0292, 0.0416, 0.0, 0.5774, 0.0228, 0.0423, 0.0459, 0.0391, 0.0069, 0.0176, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.0939, 0.0532, 0.0358, 0.0292, 0.0347, 0.0, 0.5905, 0.0233, 0.0434, 0.0476, 0.0229, 0.0073, 0.018, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.0939, 0.0532, 0.0358, 0.0292, 0.0347, 0.0, 0.5905, 0.0233, 0.0434, 0.0476, 0.0229, 0.0073, 0.018, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.0939, 0.0532, 0.0358, 0.0292, 0.0347, 0.0, 0.5905, 0.0233, 0.0434, 0.0476, 0.0229, 0.0073, 0.018, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.0932, 0.0541, 0.0413, 0.0306, 0.0354, 0.0, 0.5797, 0.0245, 0.0458, 0.0473, 0.0231, 0.0072, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.0932, 0.0541, 0.0413, 0.0306, 0.0354, 0.0, 0.5797, 0.0245, 0.0458, 0.0473, 0.0231, 0.0072, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.0932, 0.0541, 0.0413, 0.0306, 0.0354, 0.0, 0.5797, 0.0245, 0.0458, 0.0473, 0.0231, 0.0072, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 40.0]), label=0.0, probability=DenseVector([0.0932, 0.0541, 0.0413, 0.0306, 0.0354, 0.0, 0.5797, 0.0245, 0.0458, 0.0473, 0.0231, 0.0072, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 40.0]), label=0.0, probability=DenseVector([0.0932, 0.0541, 0.0413, 0.0306, 0.0354, 0.0, 0.5797, 0.0245, 0.0458, 0.0473, 0.0231, 0.0072, 0.0174, 0.0004]))
Row(prediction=2.0, features=DenseVector([22.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 48.0, 63.0]), label=9.0, probability=DenseVector([0.0329, 0.1352, 0.1811, 0.1196, 0.0299, 0.0048, 0.0544, 0.0703, 0.1343, 0.1232, 0.0147, 0.04, 0.0512, 0.0083]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 21.0]), label=6.0, probability=DenseVector([0.0823, 0.0472, 0.0176, 0.019, 0.0303, 0.0, 0.6841, 0.0217, 0.0291, 0.0306, 0.0185, 0.0046, 0.0146, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 28.0]), label=6.0, probability=DenseVector([0.0823, 0.0472, 0.0176, 0.019, 0.0303, 0.0, 0.6841, 0.0217, 0.0291, 0.0306, 0.0185, 0.0046, 0.0146, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.0823, 0.0472, 0.0176, 0.019, 0.0303, 0.0, 0.6841, 0.0217, 0.0291, 0.0306, 0.0185, 0.0046, 0.0146, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0878, 0.0461, 0.0243, 0.0252, 0.038, 0.0, 0.6238, 0.0212, 0.0373, 0.0387, 0.0345, 0.0058, 0.017, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0878, 0.0461, 0.0243, 0.0252, 0.038, 0.0, 0.6238, 0.0212, 0.0373, 0.0387, 0.0345, 0.0058, 0.017, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0878, 0.0461, 0.0243, 0.0252, 0.038, 0.0, 0.6238, 0.0212, 0.0373, 0.0387, 0.0345, 0.0058, 0.017, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.0916, 0.0459, 0.0272, 0.0281, 0.0391, 0.0, 0.6027, 0.0217, 0.041, 0.0422, 0.0359, 0.0065, 0.0179, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 37.0]), label=0.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 38.0]), label=0.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 39.0]), label=2.0, probability=DenseVector([0.0887, 0.0496, 0.0384, 0.0313, 0.0328, 0.0, 0.595, 0.0231, 0.047, 0.0476, 0.021, 0.0076, 0.0175, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0887, 0.0496, 0.0384, 0.0313, 0.0328, 0.0, 0.595, 0.0231, 0.047, 0.0476, 0.021, 0.0076, 0.0175, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0887, 0.0496, 0.0384, 0.0313, 0.0328, 0.0, 0.595, 0.0231, 0.047, 0.0476, 0.021, 0.0076, 0.0175, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0887, 0.0496, 0.0384, 0.0313, 0.0328, 0.0, 0.595, 0.0231, 0.047, 0.0476, 0.021, 0.0076, 0.0175, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 39.0]), label=0.0, probability=DenseVector([0.0887, 0.0496, 0.0384, 0.0313, 0.0328, 0.0, 0.595, 0.0231, 0.047, 0.0476, 0.021, 0.0076, 0.0175, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.083, 0.0652, 0.0819, 0.0369, 0.0395, 0.0001, 0.5072, 0.0315, 0.0539, 0.0488, 0.0224, 0.0089, 0.0188, 0.002]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.083, 0.0652, 0.0819, 0.0369, 0.0395, 0.0001, 0.5072, 0.0315, 0.0539, 0.0488, 0.0224, 0.0089, 0.0188, 0.002]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.083, 0.0652, 0.0819, 0.0369, 0.0395, 0.0001, 0.5072, 0.0315, 0.0539, 0.0488, 0.0224, 0.0089, 0.0188, 0.002]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 27.0]), label=6.0, probability=DenseVector([0.0823, 0.0472, 0.0176, 0.019, 0.0303, 0.0, 0.6841, 0.0217, 0.0291, 0.0306, 0.0185, 0.0046, 0.0146, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 28.0]), label=6.0, probability=DenseVector([0.0823, 0.0472, 0.0176, 0.019, 0.0303, 0.0, 0.6841, 0.0217, 0.0291, 0.0306, 0.0185, 0.0046, 0.0146, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.0823, 0.0472, 0.0176, 0.019, 0.0303, 0.0, 0.6841, 0.0217, 0.0291, 0.0306, 0.0185, 0.0046, 0.0146, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.0823, 0.0472, 0.0176, 0.019, 0.0303, 0.0, 0.6841, 0.0217, 0.0291, 0.0306, 0.0185, 0.0046, 0.0146, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 33.0]), label=0.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0878, 0.0461, 0.0243, 0.0252, 0.038, 0.0, 0.6238, 0.0212, 0.0373, 0.0387, 0.0345, 0.0058, 0.017, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.0916, 0.0459, 0.0272, 0.0281, 0.0391, 0.0, 0.6027, 0.0217, 0.041, 0.0422, 0.0359, 0.0065, 0.0179, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.0916, 0.0459, 0.0272, 0.0281, 0.0391, 0.0, 0.6027, 0.0217, 0.041, 0.0422, 0.0359, 0.0065, 0.0179, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 37.0]), label=0.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 39.0]), label=2.0, probability=DenseVector([0.0887, 0.0496, 0.0384, 0.0313, 0.0328, 0.0, 0.595, 0.0231, 0.047, 0.0476, 0.021, 0.0076, 0.0175, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 39.0]), label=0.0, probability=DenseVector([0.0887, 0.0496, 0.0384, 0.0313, 0.0328, 0.0, 0.595, 0.0231, 0.047, 0.0476, 0.021, 0.0076, 0.0175, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.088, 0.0505, 0.044, 0.0327, 0.0335, 0.0, 0.5842, 0.0243, 0.0494, 0.0473, 0.0212, 0.0076, 0.0169, 0.0004]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.083, 0.0652, 0.0819, 0.0369, 0.0395, 0.0001, 0.5072, 0.0315, 0.0539, 0.0488, 0.0224, 0.0089, 0.0188, 0.002]))
Row(prediction=2.0, features=DenseVector([22.0, 50.0, 43.0]), label=0.0, probability=DenseVector([0.0569, 0.11, 0.227, 0.0856, 0.0312, 0.0014, 0.1772, 0.071, 0.1025, 0.057, 0.0155, 0.0236, 0.031, 0.0101]))
Row(prediction=2.0, features=DenseVector([22.0, 50.0, 43.0]), label=6.0, probability=DenseVector([0.0569, 0.11, 0.227, 0.0856, 0.0312, 0.0014, 0.1772, 0.071, 0.1025, 0.057, 0.0155, 0.0236, 0.031, 0.0101]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 32.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 33.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 38.0]), label=0.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=2.0, features=DenseVector([22.0, 51.0, 43.0]), label=6.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=2.0, features=DenseVector([22.0, 51.0, 43.0]), label=6.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 26.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 30.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 33.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 33.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 34.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 41.0]), label=0.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=2.0, features=DenseVector([22.0, 52.0, 43.0]), label=6.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=2.0, features=DenseVector([22.0, 52.0, 44.0]), label=6.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=2.0, features=DenseVector([22.0, 52.0, 45.0]), label=6.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 38.0]), label=0.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 43.0]), label=6.0, probability=DenseVector([0.0578, 0.0996, 0.2033, 0.0753, 0.0422, 0.0007, 0.2231, 0.0623, 0.0896, 0.0639, 0.0222, 0.0205, 0.0318, 0.0077]))
Row(prediction=6.0, features=DenseVector([22.0, 54.0, 20.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 54.0, 24.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 54.0, 26.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 54.0, 40.0]), label=9.0, probability=DenseVector([0.0693, 0.039, 0.0511, 0.0393, 0.0352, 0.0, 0.5865, 0.0235, 0.0524, 0.0565, 0.0158, 0.012, 0.018, 0.0015]))
Row(prediction=6.0, features=DenseVector([22.0, 55.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 55.0, 36.0]), label=0.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 55.0, 37.0]), label=0.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 55.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 55.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 55.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 55.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 56.0, 30.0]), label=6.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 56.0, 35.0]), label=6.0, probability=DenseVector([0.065, 0.0318, 0.0207, 0.0282, 0.0223, 0.0, 0.7145, 0.015, 0.0365, 0.0374, 0.008, 0.0058, 0.0147, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 56.0, 36.0]), label=6.0, probability=DenseVector([0.0687, 0.0316, 0.0235, 0.0311, 0.0234, 0.0, 0.6935, 0.0155, 0.0401, 0.0408, 0.0094, 0.0065, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 56.0, 40.0]), label=6.0, probability=DenseVector([0.0666, 0.0387, 0.0425, 0.0345, 0.0323, 0.0, 0.6251, 0.021, 0.0444, 0.0526, 0.0146, 0.0091, 0.0172, 0.0015]))
Row(prediction=6.0, features=DenseVector([22.0, 59.0, 38.0]), label=6.0, probability=DenseVector([0.0539, 0.0273, 0.0232, 0.0266, 0.02, 0.0, 0.7332, 0.0124, 0.0344, 0.0412, 0.0093, 0.0056, 0.0128, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 60.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 60.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 60.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 60.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 60.0, 31.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 60.0, 32.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 60.0, 33.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 61.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 62.0, 17.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 62.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 62.0, 34.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 63.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 63.0, 29.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.0539, 0.0273, 0.0232, 0.0266, 0.02, 0.0, 0.7332, 0.0124, 0.0344, 0.0412, 0.0093, 0.0056, 0.0128, 0.0001]))
Row(prediction=1.0, features=DenseVector([23.0, 13.0, 36.0]), label=6.0, probability=DenseVector([0.0226, 0.3141, 0.0001, 0.1891, 0.0391, 0.0505, 0.1665, 0.004, 0.0041, 0.0931, 0.0677, 0.0005, 0.0486, 0.0]))
Row(prediction=3.0, features=DenseVector([23.0, 13.0, 42.0]), label=6.0, probability=DenseVector([0.0177, 0.2444, 0.0051, 0.2919, 0.0087, 0.1668, 0.1098, 0.0251, 0.0258, 0.0223, 0.0072, 0.0079, 0.0671, 0.0001]))
Row(prediction=5.0, features=DenseVector([23.0, 17.0, 39.0]), label=6.0, probability=DenseVector([0.0236, 0.174, 0.0039, 0.1822, 0.0132, 0.2902, 0.1809, 0.0037, 0.0037, 0.0451, 0.0267, 0.0179, 0.0349, 0.0]))
Row(prediction=3.0, features=DenseVector([23.0, 18.0, 45.0]), label=6.0, probability=DenseVector([0.0188, 0.2602, 0.0107, 0.4178, 0.0071, 0.0393, 0.0589, 0.0373, 0.0385, 0.0207, 0.0022, 0.0133, 0.0748, 0.0004]))
Row(prediction=3.0, features=DenseVector([23.0, 22.0, 44.0]), label=12.0, probability=DenseVector([0.024, 0.2642, 0.018, 0.3409, 0.0113, 0.0383, 0.0815, 0.0463, 0.0486, 0.025, 0.0037, 0.0142, 0.0825, 0.0015]))
Row(prediction=3.0, features=DenseVector([23.0, 22.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 44.0]), label=6.0, probability=DenseVector([0.024, 0.2642, 0.018, 0.3409, 0.0113, 0.0383, 0.0815, 0.0463, 0.0486, 0.025, 0.0037, 0.0142, 0.0825, 0.0015]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 52.0]), label=9.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([23.0, 24.0, 35.0]), label=6.0, probability=DenseVector([0.0585, 0.1657, 0.0072, 0.0452, 0.0638, 0.0218, 0.3782, 0.0095, 0.0108, 0.0784, 0.1299, 0.0013, 0.0295, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 24.0, 42.0]), label=6.0, probability=DenseVector([0.0377, 0.2301, 0.0204, 0.236, 0.023, 0.066, 0.1745, 0.0375, 0.0396, 0.0317, 0.0214, 0.0101, 0.0705, 0.0016]))
Row(prediction=6.0, features=DenseVector([23.0, 25.0, 34.0]), label=6.0, probability=DenseVector([0.0574, 0.1661, 0.0051, 0.0435, 0.0635, 0.0218, 0.3906, 0.0096, 0.0086, 0.0753, 0.1291, 0.001, 0.0282, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 48.0]), label=11.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 49.0]), label=11.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([23.0, 26.0, 35.0]), label=6.0, probability=DenseVector([0.0585, 0.1657, 0.0072, 0.0452, 0.0638, 0.0218, 0.3782, 0.0095, 0.0108, 0.0784, 0.1299, 0.0013, 0.0295, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 26.0, 41.0]), label=6.0, probability=DenseVector([0.0728, 0.1451, 0.0241, 0.0729, 0.042, 0.0568, 0.364, 0.0234, 0.0263, 0.0541, 0.0703, 0.0051, 0.0418, 0.0015]))
Row(prediction=3.0, features=DenseVector([23.0, 26.0, 49.0]), label=0.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([23.0, 27.0, 35.0]), label=6.0, probability=DenseVector([0.0741, 0.0511, 0.0075, 0.0092, 0.0714, 0.0044, 0.498, 0.0116, 0.0112, 0.0859, 0.1506, 0.0035, 0.0213, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([23.0, 28.0, 40.0]), label=6.0, probability=DenseVector([0.0718, 0.0817, 0.0174, 0.0232, 0.0538, 0.0085, 0.5168, 0.0116, 0.015, 0.0721, 0.0978, 0.0024, 0.0274, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 28.0, 42.0]), label=6.0, probability=DenseVector([0.0492, 0.203, 0.0421, 0.1873, 0.031, 0.0163, 0.2071, 0.0487, 0.0544, 0.05, 0.027, 0.013, 0.0691, 0.0018]))
Row(prediction=3.0, features=DenseVector([23.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([23.0, 29.0, 37.0]), label=6.0, probability=DenseVector([0.0741, 0.0511, 0.0075, 0.0092, 0.0714, 0.0044, 0.498, 0.0116, 0.0112, 0.0859, 0.1506, 0.0035, 0.0213, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 29.0, 39.0]), label=6.0, probability=DenseVector([0.0726, 0.0798, 0.0158, 0.0226, 0.0528, 0.0085, 0.5223, 0.0115, 0.0138, 0.0697, 0.1013, 0.0023, 0.0267, 0.0004]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 47.0]), label=0.0, probability=DenseVector([0.0318, 0.2207, 0.0483, 0.3531, 0.012, 0.0161, 0.0502, 0.0609, 0.0697, 0.0327, 0.0061, 0.0196, 0.0771, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 47.0]), label=12.0, probability=DenseVector([0.0318, 0.2207, 0.0483, 0.3531, 0.012, 0.0161, 0.0502, 0.0609, 0.0697, 0.0327, 0.0061, 0.0196, 0.0771, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 50.0]), label=0.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([23.0, 30.0, 34.0]), label=6.0, probability=DenseVector([0.0738, 0.051, 0.0054, 0.0073, 0.0725, 0.0044, 0.5133, 0.0114, 0.0089, 0.0737, 0.1507, 0.0075, 0.0198, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 51.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=0.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 51.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 51.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 54.0]), label=11.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=6.0, features=DenseVector([23.0, 32.0, 31.0]), label=6.0, probability=DenseVector([0.0972, 0.0504, 0.0055, 0.0072, 0.1001, 0.0043, 0.4117, 0.0147, 0.0106, 0.0464, 0.2316, 0.0012, 0.0188, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 46.0]), label=6.0, probability=DenseVector([0.0352, 0.2264, 0.0598, 0.2939, 0.0155, 0.0157, 0.07, 0.0653, 0.075, 0.0348, 0.007, 0.0196, 0.0797, 0.0022]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 50.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 52.0]), label=6.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([23.0, 33.0, 22.0]), label=6.0, probability=DenseVector([0.0812, 0.0593, 0.0056, 0.0069, 0.0752, 0.0043, 0.5182, 0.0122, 0.0104, 0.0403, 0.1664, 0.0012, 0.0187, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 33.0, 27.0]), label=6.0, probability=DenseVector([0.0812, 0.0593, 0.0056, 0.0069, 0.0752, 0.0043, 0.5182, 0.0122, 0.0104, 0.0403, 0.1664, 0.0012, 0.0187, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 33.0, 39.0]), label=6.0, probability=DenseVector([0.1028, 0.0717, 0.016, 0.0132, 0.0879, 0.0044, 0.3978, 0.016, 0.0156, 0.0517, 0.1966, 0.0023, 0.0236, 0.0004]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 43.0]), label=6.0, probability=DenseVector([0.0409, 0.2251, 0.0542, 0.252, 0.0207, 0.0161, 0.1192, 0.0603, 0.0686, 0.0357, 0.0113, 0.0174, 0.0766, 0.002]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 49.0]), label=11.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 49.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 51.0]), label=11.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 52.0]), label=11.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 53.0]), label=6.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 54.0]), label=6.0, probability=DenseVector([0.0122, 0.196, 0.0385, 0.3998, 0.0039, 0.0112, 0.018, 0.0753, 0.0953, 0.0408, 0.0019, 0.0356, 0.0697, 0.0018]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 62.0]), label=12.0, probability=DenseVector([0.0116, 0.202, 0.0343, 0.39, 0.0041, 0.0104, 0.019, 0.0743, 0.0967, 0.0454, 0.0018, 0.0358, 0.0732, 0.0013]))
Row(prediction=6.0, features=DenseVector([23.0, 34.0, 37.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 49.0]), label=6.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 52.0]), label=11.0, probability=DenseVector([0.0295, 0.1674, 0.0945, 0.2811, 0.0081, 0.0243, 0.0232, 0.1056, 0.1407, 0.0384, 0.0043, 0.0376, 0.0434, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0303, 0.1707, 0.0931, 0.2748, 0.0087, 0.0243, 0.0235, 0.1048, 0.1389, 0.0408, 0.0047, 0.0388, 0.0446, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0303, 0.1707, 0.0931, 0.2748, 0.0087, 0.0243, 0.0235, 0.1048, 0.1389, 0.0408, 0.0047, 0.0388, 0.0446, 0.0019]))
Row(prediction=6.0, features=DenseVector([23.0, 35.0, 32.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 35.0, 33.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 35.0, 36.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 35.0, 38.0]), label=6.0, probability=DenseVector([0.1057, 0.0556, 0.0087, 0.0093, 0.0987, 0.0043, 0.3943, 0.0151, 0.0139, 0.043, 0.2293, 0.0016, 0.0204, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 35.0, 42.0]), label=6.0, probability=DenseVector([0.0693, 0.1656, 0.0725, 0.1321, 0.0364, 0.0136, 0.1702, 0.0842, 0.0906, 0.0453, 0.0419, 0.0246, 0.0518, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 49.0]), label=6.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 49.0]), label=6.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=6.0, features=DenseVector([23.0, 36.0, 36.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=1.0, features=DenseVector([23.0, 36.0, 46.0]), label=6.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 36.0, 48.0]), label=6.0, probability=DenseVector([0.0432, 0.1666, 0.1011, 0.2348, 0.013, 0.0244, 0.0402, 0.1118, 0.1265, 0.0363, 0.007, 0.0389, 0.0535, 0.0025]))
Row(prediction=3.0, features=DenseVector([23.0, 36.0, 49.0]), label=6.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 36.0, 50.0]), label=6.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([23.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([23.0, 36.0, 52.0]), label=6.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=6.0, features=DenseVector([23.0, 37.0, 30.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 37.0, 31.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 37.0, 37.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=1.0, features=DenseVector([23.0, 37.0, 43.0]), label=0.0, probability=DenseVector([0.0591, 0.1786, 0.0988, 0.1676, 0.0227, 0.0169, 0.097, 0.1022, 0.1144, 0.0401, 0.0141, 0.0308, 0.0554, 0.0024]))
Row(prediction=1.0, features=DenseVector([23.0, 37.0, 47.0]), label=6.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([23.0, 37.0, 47.0]), label=11.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 49.0]), label=6.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 49.0]), label=9.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 50.0]), label=6.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 52.0]), label=6.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 62.0]), label=6.0, probability=DenseVector([0.0359, 0.1827, 0.0962, 0.1866, 0.0121, 0.0234, 0.0289, 0.1078, 0.1476, 0.0645, 0.008, 0.0495, 0.0554, 0.0014]))
Row(prediction=1.0, features=DenseVector([23.0, 38.0, 44.0]), label=6.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([23.0, 38.0, 44.0]), label=0.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 49.0]), label=6.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 49.0]), label=6.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 51.0]), label=9.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=6.0, features=DenseVector([23.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 39.0, 37.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 39.0, 38.0]), label=6.0, probability=DenseVector([0.1057, 0.0556, 0.0087, 0.0093, 0.0987, 0.0043, 0.3943, 0.0151, 0.0139, 0.043, 0.2293, 0.0016, 0.0204, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 48.0]), label=0.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 50.0]), label=0.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 50.0]), label=0.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 57.0]), label=11.0, probability=DenseVector([0.0359, 0.1827, 0.0962, 0.1866, 0.0121, 0.0234, 0.0289, 0.1078, 0.1476, 0.0645, 0.008, 0.0495, 0.0554, 0.0014]))
Row(prediction=6.0, features=DenseVector([23.0, 40.0, 30.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 40.0, 35.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 40.0, 38.0]), label=6.0, probability=DenseVector([0.1057, 0.0556, 0.0087, 0.0093, 0.0987, 0.0043, 0.3943, 0.0151, 0.0139, 0.043, 0.2293, 0.0016, 0.0204, 0.0002]))
Row(prediction=2.0, features=DenseVector([23.0, 40.0, 45.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([23.0, 40.0, 47.0]), label=0.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 48.0]), label=0.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=6.0, features=DenseVector([23.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 41.0, 37.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.1057, 0.0556, 0.0087, 0.0093, 0.0987, 0.0043, 0.3943, 0.0151, 0.0139, 0.043, 0.2293, 0.0016, 0.0204, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 41.0, 40.0]), label=6.0, probability=DenseVector([0.1019, 0.0737, 0.0177, 0.0137, 0.0889, 0.0044, 0.3923, 0.0162, 0.0168, 0.054, 0.1931, 0.0025, 0.0244, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 41.0, 41.0]), label=6.0, probability=DenseVector([0.0958, 0.1227, 0.0375, 0.0317, 0.0653, 0.0099, 0.37, 0.0289, 0.029, 0.0581, 0.114, 0.0049, 0.0306, 0.0017]))
Row(prediction=1.0, features=DenseVector([23.0, 41.0, 43.0]), label=6.0, probability=DenseVector([0.071, 0.1577, 0.1387, 0.1096, 0.0307, 0.0114, 0.1231, 0.0856, 0.1142, 0.0505, 0.0202, 0.0292, 0.0557, 0.0025]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 44.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 44.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 45.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 46.0]), label=9.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 47.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 47.0]), label=11.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([23.0, 41.0, 48.0]), label=0.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 41.0, 48.0]), label=0.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=6.0, features=DenseVector([23.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 42.0, 36.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 44.0]), label=6.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 45.0]), label=11.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 47.0]), label=6.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 42.0, 49.0]), label=0.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 42.0, 50.0]), label=9.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=6.0, features=DenseVector([23.0, 43.0, 21.0]), label=6.0, probability=DenseVector([0.1132, 0.0661, 0.0074, 0.0073, 0.0625, 0.0044, 0.5363, 0.0109, 0.0163, 0.0456, 0.1092, 0.0014, 0.0192, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 43.0, 35.0]), label=6.0, probability=DenseVector([0.131, 0.0574, 0.0095, 0.0094, 0.0856, 0.0044, 0.4315, 0.0133, 0.0197, 0.0465, 0.1693, 0.0017, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 43.0, 37.0]), label=6.0, probability=DenseVector([0.131, 0.0574, 0.0095, 0.0094, 0.0856, 0.0044, 0.4315, 0.0133, 0.0197, 0.0465, 0.1693, 0.0017, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 43.0, 39.0]), label=6.0, probability=DenseVector([0.1201, 0.0781, 0.0178, 0.0137, 0.0728, 0.0044, 0.4337, 0.0145, 0.0199, 0.0566, 0.1406, 0.0025, 0.0249, 0.0004]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 43.0]), label=6.0, probability=DenseVector([0.0722, 0.1302, 0.1553, 0.1042, 0.0354, 0.0113, 0.1418, 0.0773, 0.1111, 0.0601, 0.0242, 0.0286, 0.0458, 0.0027]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 46.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 46.0]), label=11.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 47.0]), label=9.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 47.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 49.0]), label=9.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 50.0]), label=0.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 50.0]), label=9.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 53.0]), label=6.0, probability=DenseVector([0.0506, 0.1467, 0.1459, 0.1797, 0.0154, 0.0154, 0.0432, 0.0918, 0.1445, 0.0581, 0.0081, 0.0508, 0.0479, 0.0019]))
Row(prediction=6.0, features=DenseVector([23.0, 44.0, 25.0]), label=6.0, probability=DenseVector([0.1196, 0.0661, 0.0113, 0.0064, 0.0595, 0.0001, 0.5497, 0.0124, 0.0178, 0.0441, 0.0921, 0.0017, 0.019, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.1363, 0.0578, 0.0114, 0.0067, 0.0822, 0.0001, 0.4573, 0.0148, 0.019, 0.0419, 0.1514, 0.0016, 0.0191, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.1374, 0.0574, 0.0135, 0.0084, 0.0826, 0.0001, 0.4449, 0.0148, 0.0212, 0.045, 0.1522, 0.0019, 0.0203, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.1374, 0.0574, 0.0135, 0.0084, 0.0826, 0.0001, 0.4449, 0.0148, 0.0212, 0.045, 0.1522, 0.0019, 0.0203, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 44.0, 38.0]), label=0.0, probability=DenseVector([0.1293, 0.062, 0.0145, 0.0088, 0.0807, 0.0001, 0.4435, 0.015, 0.0198, 0.0465, 0.1562, 0.002, 0.0215, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.1264, 0.0781, 0.0218, 0.0127, 0.0698, 0.0001, 0.4471, 0.0159, 0.0214, 0.0551, 0.1235, 0.0027, 0.0247, 0.0006]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 44.0]), label=1.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 46.0]), label=6.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 47.0]), label=9.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 47.0]), label=6.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 47.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 48.0]), label=6.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([23.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 44.0, 49.0]), label=6.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([23.0, 45.0, 33.0]), label=6.0, probability=DenseVector([0.1363, 0.0578, 0.0114, 0.0067, 0.0822, 0.0001, 0.4573, 0.0148, 0.019, 0.0419, 0.1514, 0.0016, 0.0191, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 45.0, 38.0]), label=6.0, probability=DenseVector([0.1293, 0.062, 0.0145, 0.0088, 0.0807, 0.0001, 0.4435, 0.015, 0.0198, 0.0465, 0.1562, 0.002, 0.0215, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 45.0, 40.0]), label=0.0, probability=DenseVector([0.1256, 0.08, 0.0234, 0.0132, 0.0709, 0.0001, 0.4416, 0.0161, 0.0226, 0.0575, 0.12, 0.0029, 0.0255, 0.0006]))
Row(prediction=6.0, features=DenseVector([23.0, 45.0, 42.0]), label=6.0, probability=DenseVector([0.0856, 0.1194, 0.1328, 0.0715, 0.0454, 0.0029, 0.2295, 0.0645, 0.0876, 0.0628, 0.0341, 0.0218, 0.0397, 0.0027]))
Row(prediction=6.0, features=DenseVector([23.0, 45.0, 42.0]), label=1.0, probability=DenseVector([0.0856, 0.1194, 0.1328, 0.0715, 0.0454, 0.0029, 0.2295, 0.0645, 0.0876, 0.0628, 0.0341, 0.0218, 0.0397, 0.0027]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 46.0]), label=6.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 47.0]), label=9.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 48.0]), label=9.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 20.0]), label=6.0, probability=DenseVector([0.1297, 0.0651, 0.0112, 0.0067, 0.0597, 0.0001, 0.5494, 0.0128, 0.0198, 0.0404, 0.0862, 0.0018, 0.0168, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 32.0]), label=6.0, probability=DenseVector([0.1404, 0.0579, 0.0113, 0.007, 0.0734, 0.0001, 0.4917, 0.0142, 0.0207, 0.039, 0.1244, 0.0018, 0.0177, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 32.0]), label=0.0, probability=DenseVector([0.1404, 0.0579, 0.0113, 0.007, 0.0734, 0.0001, 0.4917, 0.0142, 0.0207, 0.039, 0.1244, 0.0018, 0.0177, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.1425, 0.0571, 0.0149, 0.0109, 0.0741, 0.0001, 0.4672, 0.0139, 0.0255, 0.0451, 0.1259, 0.0025, 0.0199, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.1425, 0.0571, 0.0149, 0.0109, 0.0741, 0.0001, 0.4672, 0.0139, 0.0255, 0.0451, 0.1259, 0.0025, 0.0199, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 38.0]), label=6.0, probability=DenseVector([0.1312, 0.0639, 0.017, 0.0126, 0.0729, 0.0001, 0.4576, 0.0149, 0.023, 0.0504, 0.1311, 0.0031, 0.022, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 38.0]), label=6.0, probability=DenseVector([0.1312, 0.0639, 0.017, 0.0126, 0.0729, 0.0001, 0.4576, 0.0149, 0.023, 0.0504, 0.1311, 0.0031, 0.022, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 39.0]), label=6.0, probability=DenseVector([0.1283, 0.08, 0.0243, 0.0164, 0.0621, 0.0001, 0.4611, 0.0159, 0.0247, 0.059, 0.0984, 0.0039, 0.0252, 0.0006]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 39.0]), label=0.0, probability=DenseVector([0.1283, 0.08, 0.0243, 0.0164, 0.0621, 0.0001, 0.4611, 0.0159, 0.0247, 0.059, 0.0984, 0.0039, 0.0252, 0.0006]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 40.0]), label=6.0, probability=DenseVector([0.1267, 0.0829, 0.0315, 0.0183, 0.0638, 0.0001, 0.4448, 0.0172, 0.0283, 0.0611, 0.0951, 0.0041, 0.0253, 0.0007]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 42.0]), label=6.0, probability=DenseVector([0.0812, 0.111, 0.1574, 0.065, 0.0458, 0.0009, 0.2441, 0.0594, 0.0796, 0.0649, 0.0338, 0.0191, 0.0317, 0.0061]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 42.0]), label=6.0, probability=DenseVector([0.0812, 0.111, 0.1574, 0.065, 0.0458, 0.0009, 0.2441, 0.0594, 0.0796, 0.0649, 0.0338, 0.0191, 0.0317, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 47.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 47.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 48.0]), label=9.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=6.0, features=DenseVector([23.0, 47.0, 29.0]), label=6.0, probability=DenseVector([0.1289, 0.0625, 0.0131, 0.0103, 0.0568, 0.0001, 0.5672, 0.0147, 0.0238, 0.0368, 0.0674, 0.0025, 0.0156, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 47.0, 34.0]), label=6.0, probability=DenseVector([0.1396, 0.0554, 0.0132, 0.0107, 0.0705, 0.0001, 0.5096, 0.0161, 0.0247, 0.0355, 0.1056, 0.0024, 0.0165, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0986, 0.085, 0.0779, 0.0336, 0.0539, 0.0002, 0.4291, 0.0273, 0.0437, 0.0601, 0.056, 0.0077, 0.0244, 0.0024]))
Row(prediction=6.0, features=DenseVector([23.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0986, 0.085, 0.0779, 0.0336, 0.0539, 0.0002, 0.4291, 0.0273, 0.0437, 0.0601, 0.056, 0.0077, 0.0244, 0.0024]))
Row(prediction=6.0, features=DenseVector([23.0, 48.0, 21.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 48.0, 37.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 48.0, 37.0]), label=0.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 48.0, 38.0]), label=0.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 44.0]), label=0.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 45.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 46.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 47.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 26.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 31.0]), label=0.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 41.0]), label=11.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=2.0, features=DenseVector([23.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 49.0, 45.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 49.0, 47.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 26.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 40.0]), label=11.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=2.0, features=DenseVector([23.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([23.0, 50.0, 43.0]), label=9.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([23.0, 50.0, 48.0]), label=11.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=2.0, features=DenseVector([23.0, 50.0, 49.0]), label=9.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 31.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 33.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 35.0]), label=0.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 35.0]), label=0.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 36.0]), label=0.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=2.0, features=DenseVector([23.0, 51.0, 44.0]), label=0.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=2.0, features=DenseVector([23.0, 51.0, 53.0]), label=9.0, probability=DenseVector([0.0409, 0.1191, 0.1675, 0.1166, 0.0352, 0.0012, 0.101, 0.0679, 0.1187, 0.1336, 0.0209, 0.0345, 0.0381, 0.0048]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 24.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 24.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 25.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 26.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 32.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 32.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 33.0]), label=9.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 37.0]), label=0.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 39.0]), label=0.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 40.0]), label=6.0, probability=DenseVector([0.0699, 0.036, 0.0586, 0.0388, 0.0341, 0.0, 0.5724, 0.0277, 0.062, 0.0519, 0.0175, 0.0128, 0.018, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 42.0]), label=0.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 42.0]), label=6.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 42.0]), label=6.0, probability=DenseVector([0.0601, 0.0993, 0.1963, 0.0717, 0.0444, 0.0007, 0.2286, 0.0628, 0.0897, 0.0643, 0.0226, 0.0205, 0.0322, 0.0067]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 42.0]), label=0.0, probability=DenseVector([0.0601, 0.0993, 0.1963, 0.0717, 0.0444, 0.0007, 0.2286, 0.0628, 0.0897, 0.0643, 0.0226, 0.0205, 0.0322, 0.0067]))
Row(prediction=6.0, features=DenseVector([23.0, 53.0, 43.0]), label=6.0, probability=DenseVector([0.0578, 0.0996, 0.2033, 0.0753, 0.0422, 0.0007, 0.2231, 0.0623, 0.0896, 0.0639, 0.0222, 0.0205, 0.0318, 0.0077]))
Row(prediction=2.0, features=DenseVector([23.0, 53.0, 48.0]), label=6.0, probability=DenseVector([0.0456, 0.1065, 0.1846, 0.1159, 0.0382, 0.0016, 0.1213, 0.0748, 0.1156, 0.0997, 0.0254, 0.0272, 0.0376, 0.006]))
Row(prediction=6.0, features=DenseVector([23.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 54.0, 34.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 54.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([23.0, 54.0, 45.0]), label=6.0, probability=DenseVector([0.0537, 0.1011, 0.2041, 0.0768, 0.0387, 0.0009, 0.1828, 0.0702, 0.1071, 0.0709, 0.0248, 0.0239, 0.0366, 0.0086]))
Row(prediction=6.0, features=DenseVector([23.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 55.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 55.0, 41.0]), label=6.0, probability=DenseVector([0.0642, 0.0537, 0.089, 0.0435, 0.0412, 0.0001, 0.5094, 0.0307, 0.0568, 0.058, 0.017, 0.0133, 0.0199, 0.0031]))
Row(prediction=6.0, features=DenseVector([23.0, 56.0, 26.0]), label=6.0, probability=DenseVector([0.0606, 0.0306, 0.0126, 0.0212, 0.021, 0.0, 0.7614, 0.0143, 0.0276, 0.0288, 0.0058, 0.0046, 0.0115, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 56.0, 30.0]), label=6.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 56.0, 34.0]), label=6.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 56.0, 40.0]), label=6.0, probability=DenseVector([0.0666, 0.0387, 0.0425, 0.0345, 0.0323, 0.0, 0.6251, 0.021, 0.0444, 0.0526, 0.0146, 0.0091, 0.0172, 0.0015]))
Row(prediction=2.0, features=DenseVector([23.0, 56.0, 50.0]), label=9.0, probability=DenseVector([0.0429, 0.1049, 0.1627, 0.1133, 0.0417, 0.0021, 0.1071, 0.0727, 0.1151, 0.1447, 0.0232, 0.026, 0.0383, 0.0052]))
Row(prediction=9.0, features=DenseVector([23.0, 56.0, 55.0]), label=9.0, probability=DenseVector([0.0406, 0.1211, 0.1139, 0.097, 0.0474, 0.0017, 0.089, 0.0625, 0.1191, 0.2047, 0.0255, 0.0324, 0.0416, 0.0035]))
Row(prediction=6.0, features=DenseVector([23.0, 57.0, 22.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 57.0, 24.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 57.0, 27.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 58.0, 25.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 59.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 59.0, 34.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 60.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 61.0, 34.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 61.0, 41.0]), label=6.0, probability=DenseVector([0.0599, 0.0509, 0.079, 0.0401, 0.0362, 0.0001, 0.5599, 0.0263, 0.0493, 0.0531, 0.0133, 0.0108, 0.0179, 0.0031]))
Row(prediction=6.0, features=DenseVector([23.0, 62.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 62.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 62.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 62.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 63.0, 31.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 63.0, 32.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.0539, 0.0273, 0.0232, 0.0266, 0.02, 0.0, 0.7332, 0.0124, 0.0344, 0.0412, 0.0093, 0.0056, 0.0128, 0.0001]))
Row(prediction=5.0, features=DenseVector([24.0, 10.0, 40.0]), label=6.0, probability=DenseVector([0.0236, 0.16, 0.0039, 0.1814, 0.0125, 0.319, 0.1729, 0.0037, 0.0035, 0.0412, 0.0267, 0.0179, 0.0338, 0.0]))
Row(prediction=1.0, features=DenseVector([24.0, 14.0, 38.0]), label=6.0, probability=DenseVector([0.025, 0.3035, 0.0011, 0.2058, 0.0324, 0.0505, 0.1822, 0.0037, 0.0047, 0.0903, 0.0517, 0.0007, 0.0485, 0.0]))
Row(prediction=1.0, features=DenseVector([24.0, 16.0, 38.0]), label=6.0, probability=DenseVector([0.025, 0.3035, 0.0011, 0.2058, 0.0324, 0.0505, 0.1822, 0.0037, 0.0047, 0.0903, 0.0517, 0.0007, 0.0485, 0.0]))
Row(prediction=5.0, features=DenseVector([24.0, 16.0, 39.0]), label=6.0, probability=DenseVector([0.0236, 0.174, 0.0039, 0.1822, 0.0132, 0.2902, 0.1809, 0.0037, 0.0037, 0.0451, 0.0267, 0.0179, 0.0349, 0.0]))
Row(prediction=5.0, features=DenseVector([24.0, 17.0, 39.0]), label=6.0, probability=DenseVector([0.0236, 0.174, 0.0039, 0.1822, 0.0132, 0.2902, 0.1809, 0.0037, 0.0037, 0.0451, 0.0267, 0.0179, 0.0349, 0.0]))
Row(prediction=5.0, features=DenseVector([24.0, 17.0, 40.0]), label=6.0, probability=DenseVector([0.0236, 0.16, 0.0039, 0.1814, 0.0125, 0.319, 0.1729, 0.0037, 0.0035, 0.0412, 0.0267, 0.0179, 0.0338, 0.0]))
Row(prediction=3.0, features=DenseVector([24.0, 18.0, 42.0]), label=6.0, probability=DenseVector([0.0177, 0.2444, 0.0051, 0.2919, 0.0087, 0.1668, 0.1098, 0.0251, 0.0258, 0.0223, 0.0072, 0.0079, 0.0671, 0.0001]))
Row(prediction=3.0, features=DenseVector([24.0, 19.0, 47.0]), label=12.0, probability=DenseVector([0.0182, 0.2425, 0.0122, 0.4629, 0.0054, 0.0215, 0.038, 0.0425, 0.0445, 0.0216, 0.002, 0.0149, 0.0733, 0.0005]))
Row(prediction=3.0, features=DenseVector([24.0, 22.0, 42.0]), label=6.0, probability=DenseVector([0.0377, 0.2301, 0.0204, 0.236, 0.023, 0.066, 0.1745, 0.0375, 0.0396, 0.0317, 0.0214, 0.0101, 0.0705, 0.0016]))
Row(prediction=3.0, features=DenseVector([24.0, 22.0, 55.0]), label=12.0, probability=DenseVector([0.0102, 0.1924, 0.03, 0.3758, 0.0036, 0.0094, 0.0175, 0.0633, 0.0811, 0.0762, 0.0014, 0.0331, 0.1048, 0.0011]))
Row(prediction=6.0, features=DenseVector([24.0, 23.0, 34.0]), label=6.0, probability=DenseVector([0.0574, 0.1661, 0.0051, 0.0435, 0.0635, 0.0218, 0.3906, 0.0096, 0.0086, 0.0753, 0.1291, 0.001, 0.0282, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 23.0, 35.0]), label=6.0, probability=DenseVector([0.0585, 0.1657, 0.0072, 0.0452, 0.0638, 0.0218, 0.3782, 0.0095, 0.0108, 0.0784, 0.1299, 0.0013, 0.0295, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 23.0, 48.0]), label=12.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=6.0, features=DenseVector([24.0, 24.0, 33.0]), label=6.0, probability=DenseVector([0.0574, 0.1661, 0.0051, 0.0435, 0.0635, 0.0218, 0.3906, 0.0096, 0.0086, 0.0753, 0.1291, 0.001, 0.0282, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 24.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([24.0, 27.0, 37.0]), label=6.0, probability=DenseVector([0.0741, 0.0511, 0.0075, 0.0092, 0.0714, 0.0044, 0.498, 0.0116, 0.0112, 0.0859, 0.1506, 0.0035, 0.0213, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 27.0, 39.0]), label=6.0, probability=DenseVector([0.0726, 0.0798, 0.0158, 0.0226, 0.0528, 0.0085, 0.5223, 0.0115, 0.0138, 0.0697, 0.1013, 0.0023, 0.0267, 0.0004]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 51.0]), label=0.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([24.0, 28.0, 42.0]), label=6.0, probability=DenseVector([0.0492, 0.203, 0.0421, 0.1873, 0.031, 0.0163, 0.2071, 0.0487, 0.0544, 0.05, 0.027, 0.013, 0.0691, 0.0018]))
Row(prediction=3.0, features=DenseVector([24.0, 28.0, 44.0]), label=6.0, probability=DenseVector([0.0338, 0.2423, 0.047, 0.2987, 0.0155, 0.0175, 0.079, 0.059, 0.0663, 0.0322, 0.0065, 0.0177, 0.0828, 0.0018]))
Row(prediction=3.0, features=DenseVector([24.0, 29.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([24.0, 30.0, 29.0]), label=6.0, probability=DenseVector([0.0678, 0.1116, 0.0054, 0.0069, 0.0639, 0.0043, 0.4901, 0.0123, 0.008, 0.0725, 0.13, 0.0076, 0.0194, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 30.0, 52.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([24.0, 31.0, 36.0]), label=6.0, probability=DenseVector([0.0749, 0.0505, 0.0075, 0.0089, 0.0729, 0.0044, 0.5009, 0.0114, 0.0112, 0.0768, 0.1516, 0.0078, 0.021, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 31.0, 36.0]), label=6.0, probability=DenseVector([0.0749, 0.0505, 0.0075, 0.0089, 0.0729, 0.0044, 0.5009, 0.0114, 0.0112, 0.0768, 0.1516, 0.0078, 0.021, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 31.0, 36.0]), label=6.0, probability=DenseVector([0.0749, 0.0505, 0.0075, 0.0089, 0.0729, 0.0044, 0.5009, 0.0114, 0.0112, 0.0768, 0.1516, 0.0078, 0.021, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 31.0, 37.0]), label=6.0, probability=DenseVector([0.0749, 0.0505, 0.0075, 0.0089, 0.0729, 0.0044, 0.5009, 0.0114, 0.0112, 0.0768, 0.1516, 0.0078, 0.021, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 43.0]), label=6.0, probability=DenseVector([0.0409, 0.2251, 0.0542, 0.252, 0.0207, 0.0161, 0.1192, 0.0603, 0.0686, 0.0357, 0.0113, 0.0174, 0.0766, 0.002]))
Row(prediction=6.0, features=DenseVector([24.0, 32.0, 32.0]), label=9.0, probability=DenseVector([0.0972, 0.0504, 0.0055, 0.0072, 0.1001, 0.0043, 0.4117, 0.0147, 0.0106, 0.0464, 0.2316, 0.0012, 0.0188, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 32.0, 36.0]), label=6.0, probability=DenseVector([0.0983, 0.05, 0.0076, 0.0089, 0.1005, 0.0043, 0.3993, 0.0146, 0.0128, 0.0496, 0.2324, 0.0015, 0.0201, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 43.0]), label=6.0, probability=DenseVector([0.0409, 0.2251, 0.0542, 0.252, 0.0207, 0.0161, 0.1192, 0.0603, 0.0686, 0.0357, 0.0113, 0.0174, 0.0766, 0.002]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 49.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 51.0]), label=6.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([24.0, 33.0, 32.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 33.0, 35.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 33.0, 40.0]), label=6.0, probability=DenseVector([0.1019, 0.0737, 0.0177, 0.0137, 0.0889, 0.0044, 0.3923, 0.0162, 0.0168, 0.054, 0.1931, 0.0025, 0.0244, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 33.0, 41.0]), label=6.0, probability=DenseVector([0.0876, 0.1257, 0.0321, 0.0517, 0.0608, 0.0113, 0.3601, 0.0275, 0.0301, 0.0576, 0.11, 0.0059, 0.0379, 0.0017]))
Row(prediction=6.0, features=DenseVector([24.0, 34.0, 31.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 49.0]), label=6.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=6.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 53.0]), label=6.0, probability=DenseVector([0.0303, 0.1707, 0.0931, 0.2748, 0.0087, 0.0243, 0.0235, 0.1048, 0.1389, 0.0408, 0.0047, 0.0388, 0.0446, 0.0019]))
Row(prediction=6.0, features=DenseVector([24.0, 35.0, 37.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 35.0, 41.0]), label=6.0, probability=DenseVector([0.0909, 0.1221, 0.0321, 0.0525, 0.0608, 0.0106, 0.3577, 0.0322, 0.0326, 0.0554, 0.1102, 0.0069, 0.0343, 0.0017]))
Row(prediction=1.0, features=DenseVector([24.0, 35.0, 45.0]), label=6.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([24.0, 35.0, 50.0]), label=0.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 35.0, 52.0]), label=6.0, probability=DenseVector([0.0356, 0.1657, 0.1082, 0.2333, 0.0093, 0.0241, 0.0259, 0.1156, 0.1536, 0.0398, 0.005, 0.0427, 0.0393, 0.0018]))
Row(prediction=3.0, features=DenseVector([24.0, 35.0, 56.0]), label=12.0, probability=DenseVector([0.035, 0.1855, 0.0894, 0.1921, 0.0119, 0.0191, 0.0289, 0.1081, 0.1509, 0.0641, 0.0079, 0.0494, 0.0562, 0.0015]))
Row(prediction=6.0, features=DenseVector([24.0, 36.0, 33.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 50.0]), label=6.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 50.0]), label=11.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 51.0]), label=6.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=6.0, features=DenseVector([24.0, 37.0, 31.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 50.0]), label=6.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=6.0, features=DenseVector([24.0, 38.0, 26.0]), label=6.0, probability=DenseVector([0.0812, 0.0593, 0.0056, 0.0069, 0.0752, 0.0043, 0.5182, 0.0122, 0.0104, 0.0403, 0.1664, 0.0012, 0.0187, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 38.0, 33.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 38.0, 36.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=1.0, features=DenseVector([24.0, 38.0, 45.0]), label=6.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 48.0]), label=1.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 49.0]), label=6.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 52.0]), label=11.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 54.0]), label=0.0, probability=DenseVector([0.0377, 0.1787, 0.104, 0.2029, 0.011, 0.0244, 0.0273, 0.1126, 0.1448, 0.0496, 0.0062, 0.0502, 0.0488, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 54.0]), label=11.0, probability=DenseVector([0.0377, 0.1787, 0.104, 0.2029, 0.011, 0.0244, 0.0273, 0.1126, 0.1448, 0.0496, 0.0062, 0.0502, 0.0488, 0.0019]))
Row(prediction=1.0, features=DenseVector([24.0, 39.0, 43.0]), label=6.0, probability=DenseVector([0.0591, 0.1786, 0.0988, 0.1676, 0.0227, 0.0169, 0.097, 0.1022, 0.1144, 0.0401, 0.0141, 0.0308, 0.0554, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.0372, 0.1663, 0.1136, 0.2215, 0.0102, 0.0284, 0.0263, 0.1145, 0.1485, 0.0426, 0.0055, 0.044, 0.0397, 0.0017]))
Row(prediction=6.0, features=DenseVector([24.0, 40.0, 26.0]), label=6.0, probability=DenseVector([0.0812, 0.0593, 0.0056, 0.0069, 0.0752, 0.0043, 0.5182, 0.0122, 0.0104, 0.0403, 0.1664, 0.0012, 0.0187, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 40.0, 29.0]), label=6.0, probability=DenseVector([0.0812, 0.0593, 0.0056, 0.0069, 0.0752, 0.0043, 0.5182, 0.0122, 0.0104, 0.0403, 0.1664, 0.0012, 0.0187, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 40.0, 33.0]), label=6.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 40.0, 40.0]), label=6.0, probability=DenseVector([0.1019, 0.0737, 0.0177, 0.0137, 0.0889, 0.0044, 0.3923, 0.0162, 0.0168, 0.054, 0.1931, 0.0025, 0.0244, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 40.0, 40.0]), label=6.0, probability=DenseVector([0.1019, 0.0737, 0.0177, 0.0137, 0.0889, 0.0044, 0.3923, 0.0162, 0.0168, 0.054, 0.1931, 0.0025, 0.0244, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 40.0, 42.0]), label=6.0, probability=DenseVector([0.0785, 0.1485, 0.102, 0.0856, 0.0438, 0.0125, 0.1932, 0.0712, 0.0882, 0.0539, 0.0475, 0.0219, 0.0511, 0.002]))
Row(prediction=2.0, features=DenseVector([24.0, 40.0, 45.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 50.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 53.0]), label=11.0, probability=DenseVector([0.0517, 0.1492, 0.1328, 0.1852, 0.0139, 0.0154, 0.0378, 0.0958, 0.1457, 0.0553, 0.0075, 0.0523, 0.0555, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 53.0]), label=11.0, probability=DenseVector([0.0517, 0.1492, 0.1328, 0.1852, 0.0139, 0.0154, 0.0378, 0.0958, 0.1457, 0.0553, 0.0075, 0.0523, 0.0555, 0.0019]))
Row(prediction=6.0, features=DenseVector([24.0, 41.0, 24.0]), label=6.0, probability=DenseVector([0.0812, 0.0593, 0.0056, 0.0069, 0.0752, 0.0043, 0.5182, 0.0122, 0.0104, 0.0403, 0.1664, 0.0012, 0.0187, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 41.0, 28.0]), label=6.0, probability=DenseVector([0.0812, 0.0593, 0.0056, 0.0069, 0.0752, 0.0043, 0.5182, 0.0122, 0.0104, 0.0403, 0.1664, 0.0012, 0.0187, 0.0002]))
Row(prediction=2.0, features=DenseVector([24.0, 41.0, 44.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([24.0, 41.0, 45.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([24.0, 41.0, 46.0]), label=11.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 49.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 49.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 50.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.0517, 0.1492, 0.1328, 0.1852, 0.0139, 0.0154, 0.0378, 0.0958, 0.1457, 0.0553, 0.0075, 0.0523, 0.0555, 0.0019]))
Row(prediction=6.0, features=DenseVector([24.0, 42.0, 37.0]), label=6.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 42.0, 40.0]), label=6.0, probability=DenseVector([0.1019, 0.0737, 0.0177, 0.0137, 0.0889, 0.0044, 0.3923, 0.0162, 0.0168, 0.054, 0.1931, 0.0025, 0.0244, 0.0004]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 44.0]), label=6.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 46.0]), label=11.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 47.0]), label=6.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=6.0, features=DenseVector([24.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.131, 0.0574, 0.0095, 0.0094, 0.0856, 0.0044, 0.4315, 0.0133, 0.0197, 0.0465, 0.1693, 0.0017, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 43.0, 39.0]), label=0.0, probability=DenseVector([0.1201, 0.0781, 0.0178, 0.0137, 0.0728, 0.0044, 0.4337, 0.0145, 0.0199, 0.0566, 0.1406, 0.0025, 0.0249, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 43.0, 42.0]), label=6.0, probability=DenseVector([0.0797, 0.121, 0.1186, 0.0802, 0.0484, 0.0124, 0.2118, 0.0628, 0.0851, 0.0636, 0.0515, 0.0214, 0.0413, 0.0023]))
Row(prediction=2.0, features=DenseVector([24.0, 43.0, 46.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 43.0, 50.0]), label=0.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 43.0, 50.0]), label=0.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 43.0, 51.0]), label=11.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 43.0, 51.0]), label=11.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([24.0, 44.0, 18.0]), label=6.0, probability=DenseVector([0.1196, 0.0661, 0.0113, 0.0064, 0.0595, 0.0001, 0.5497, 0.0124, 0.0178, 0.0441, 0.0921, 0.0017, 0.019, 0.0003]))
Row(prediction=6.0, features=DenseVector([24.0, 44.0, 25.0]), label=6.0, probability=DenseVector([0.1196, 0.0661, 0.0113, 0.0064, 0.0595, 0.0001, 0.5497, 0.0124, 0.0178, 0.0441, 0.0921, 0.0017, 0.019, 0.0003]))
Row(prediction=6.0, features=DenseVector([24.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.1293, 0.062, 0.0145, 0.0088, 0.0807, 0.0001, 0.4435, 0.015, 0.0198, 0.0465, 0.1562, 0.002, 0.0215, 0.0003]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 45.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 47.0]), label=6.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 44.0, 50.0]), label=0.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 44.0, 51.0]), label=9.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([24.0, 45.0, 31.0]), label=6.0, probability=DenseVector([0.1363, 0.0578, 0.0114, 0.0067, 0.0822, 0.0001, 0.4573, 0.0148, 0.019, 0.0419, 0.1514, 0.0016, 0.0191, 0.0003]))
Row(prediction=6.0, features=DenseVector([24.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.1363, 0.0578, 0.0114, 0.0067, 0.0822, 0.0001, 0.4573, 0.0148, 0.019, 0.0419, 0.1514, 0.0016, 0.0191, 0.0003]))
Row(prediction=6.0, features=DenseVector([24.0, 45.0, 32.0]), label=6.0, probability=DenseVector([0.1363, 0.0578, 0.0114, 0.0067, 0.0822, 0.0001, 0.4573, 0.0148, 0.019, 0.0419, 0.1514, 0.0016, 0.0191, 0.0003]))
Row(prediction=6.0, features=DenseVector([24.0, 45.0, 34.0]), label=6.0, probability=DenseVector([0.1363, 0.0578, 0.0114, 0.0067, 0.0822, 0.0001, 0.4573, 0.0148, 0.019, 0.0419, 0.1514, 0.0016, 0.0191, 0.0003]))
Row(prediction=6.0, features=DenseVector([24.0, 45.0, 35.0]), label=6.0, probability=DenseVector([0.1374, 0.0574, 0.0135, 0.0084, 0.0826, 0.0001, 0.4449, 0.0148, 0.0212, 0.045, 0.1522, 0.0019, 0.0203, 0.0003]))
Row(prediction=6.0, features=DenseVector([24.0, 45.0, 37.0]), label=6.0, probability=DenseVector([0.1374, 0.0574, 0.0135, 0.0084, 0.0826, 0.0001, 0.4449, 0.0148, 0.0212, 0.045, 0.1522, 0.0019, 0.0203, 0.0003]))
Row(prediction=6.0, features=DenseVector([24.0, 45.0, 40.0]), label=0.0, probability=DenseVector([0.1256, 0.08, 0.0234, 0.0132, 0.0709, 0.0001, 0.4416, 0.0161, 0.0226, 0.0575, 0.12, 0.0029, 0.0255, 0.0006]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 44.0]), label=6.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 47.0]), label=6.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 50.0]), label=1.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=6.0, features=DenseVector([24.0, 46.0, 28.0]), label=6.0, probability=DenseVector([0.1297, 0.0651, 0.0112, 0.0067, 0.0597, 0.0001, 0.5494, 0.0128, 0.0198, 0.0404, 0.0862, 0.0018, 0.0168, 0.0003]))
Row(prediction=6.0, features=DenseVector([24.0, 46.0, 36.0]), label=6.0, probability=DenseVector([0.1425, 0.0571, 0.0149, 0.0109, 0.0741, 0.0001, 0.4672, 0.0139, 0.0255, 0.0451, 0.1259, 0.0025, 0.0199, 0.0003]))
Row(prediction=6.0, features=DenseVector([24.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.1083, 0.0972, 0.0631, 0.0276, 0.0583, 0.0003, 0.4057, 0.027, 0.0359, 0.0664, 0.0743, 0.0069, 0.0268, 0.0024]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 43.0]), label=6.0, probability=DenseVector([0.0644, 0.1169, 0.2095, 0.0826, 0.0359, 0.0015, 0.1644, 0.0702, 0.1001, 0.064, 0.0237, 0.0242, 0.0334, 0.0093]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 43.0]), label=6.0, probability=DenseVector([0.0644, 0.1169, 0.2095, 0.0826, 0.0359, 0.0015, 0.1644, 0.0702, 0.1001, 0.064, 0.0237, 0.0242, 0.0334, 0.0093]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 44.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 45.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 45.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 47.0]), label=11.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 25.0]), label=6.0, probability=DenseVector([0.1289, 0.0625, 0.0131, 0.0103, 0.0568, 0.0001, 0.5672, 0.0147, 0.0238, 0.0368, 0.0674, 0.0025, 0.0156, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 31.0]), label=6.0, probability=DenseVector([0.1396, 0.0554, 0.0132, 0.0107, 0.0705, 0.0001, 0.5096, 0.0161, 0.0247, 0.0355, 0.1056, 0.0024, 0.0165, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 32.0]), label=0.0, probability=DenseVector([0.1396, 0.0554, 0.0132, 0.0107, 0.0705, 0.0001, 0.5096, 0.0161, 0.0247, 0.0355, 0.1056, 0.0024, 0.0165, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 33.0]), label=6.0, probability=DenseVector([0.1396, 0.0554, 0.0132, 0.0107, 0.0705, 0.0001, 0.5096, 0.0161, 0.0247, 0.0355, 0.1056, 0.0024, 0.0165, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 35.0]), label=0.0, probability=DenseVector([0.1392, 0.0561, 0.0178, 0.0143, 0.0706, 0.0001, 0.4843, 0.0156, 0.0297, 0.0426, 0.107, 0.0032, 0.0191, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 35.0]), label=6.0, probability=DenseVector([0.1392, 0.0561, 0.0178, 0.0143, 0.0706, 0.0001, 0.4843, 0.0156, 0.0297, 0.0426, 0.107, 0.0032, 0.0191, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 38.0]), label=9.0, probability=DenseVector([0.129, 0.0626, 0.0214, 0.0181, 0.0697, 0.0001, 0.4626, 0.0164, 0.0298, 0.0508, 0.1128, 0.0043, 0.022, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 38.0]), label=6.0, probability=DenseVector([0.129, 0.0626, 0.0214, 0.0181, 0.0697, 0.0001, 0.4626, 0.0164, 0.0298, 0.0508, 0.1128, 0.0043, 0.022, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 38.0]), label=0.0, probability=DenseVector([0.129, 0.0626, 0.0214, 0.0181, 0.0697, 0.0001, 0.4626, 0.0164, 0.0298, 0.0508, 0.1128, 0.0043, 0.022, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.1268, 0.0764, 0.0277, 0.0218, 0.0587, 0.0001, 0.4681, 0.017, 0.0311, 0.0572, 0.085, 0.005, 0.0246, 0.0007]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 40.0]), label=6.0, probability=DenseVector([0.1252, 0.0792, 0.0349, 0.0237, 0.0604, 0.0001, 0.4518, 0.0183, 0.0347, 0.0592, 0.0817, 0.0051, 0.0247, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0986, 0.085, 0.0779, 0.0336, 0.0539, 0.0002, 0.4291, 0.0273, 0.0437, 0.0601, 0.056, 0.0077, 0.0244, 0.0024]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0986, 0.085, 0.0779, 0.0336, 0.0539, 0.0002, 0.4291, 0.0273, 0.0437, 0.0601, 0.056, 0.0077, 0.0244, 0.0024]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0986, 0.085, 0.0779, 0.0336, 0.0539, 0.0002, 0.4291, 0.0273, 0.0437, 0.0601, 0.056, 0.0077, 0.0244, 0.0024]))
Row(prediction=6.0, features=DenseVector([24.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 43.0]), label=11.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 45.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 46.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 47.0]), label=9.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 50.0]), label=6.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 20.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 27.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 35.0]), label=0.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.09, 0.0476, 0.0363, 0.0336, 0.0379, 0.0001, 0.5862, 0.0204, 0.0416, 0.0525, 0.0269, 0.0077, 0.0185, 0.0007]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.09, 0.0476, 0.0363, 0.0336, 0.0379, 0.0001, 0.5862, 0.0204, 0.0416, 0.0525, 0.0269, 0.0077, 0.0185, 0.0007]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 39.0]), label=0.0, probability=DenseVector([0.09, 0.0476, 0.0363, 0.0336, 0.0379, 0.0001, 0.5862, 0.0204, 0.0416, 0.0525, 0.0269, 0.0077, 0.0185, 0.0007]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 40.0]), label=0.0, probability=DenseVector([0.0893, 0.0485, 0.0419, 0.0349, 0.0386, 0.0001, 0.5754, 0.0216, 0.0441, 0.0522, 0.0271, 0.0076, 0.0178, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.0893, 0.0485, 0.0419, 0.0349, 0.0386, 0.0001, 0.5754, 0.0216, 0.0441, 0.0522, 0.0271, 0.0076, 0.0178, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.0893, 0.0485, 0.0419, 0.0349, 0.0386, 0.0001, 0.5754, 0.0216, 0.0441, 0.0522, 0.0271, 0.0076, 0.0178, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.0893, 0.0485, 0.0419, 0.0349, 0.0386, 0.0001, 0.5754, 0.0216, 0.0441, 0.0522, 0.0271, 0.0076, 0.0178, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 47.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 22.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 23.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 27.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 38.0]), label=0.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 39.0]), label=0.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 47.0]), label=11.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 31.0]), label=0.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=2.0, features=DenseVector([24.0, 50.0, 45.0]), label=6.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 50.0, 46.0]), label=0.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 50.0, 47.0]), label=0.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 35.0]), label=0.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=2.0, features=DenseVector([24.0, 51.0, 43.0]), label=6.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=2.0, features=DenseVector([24.0, 51.0, 44.0]), label=6.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=2.0, features=DenseVector([24.0, 51.0, 45.0]), label=6.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=2.0, features=DenseVector([24.0, 51.0, 45.0]), label=6.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=2.0, features=DenseVector([24.0, 51.0, 47.0]), label=6.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=2.0, features=DenseVector([24.0, 51.0, 58.0]), label=9.0, probability=DenseVector([0.04, 0.1216, 0.1618, 0.097, 0.0366, 0.001, 0.1015, 0.0633, 0.1218, 0.1494, 0.0233, 0.0343, 0.0436, 0.0046]))
Row(prediction=2.0, features=DenseVector([24.0, 51.0, 59.0]), label=9.0, probability=DenseVector([0.04, 0.1216, 0.1618, 0.097, 0.0366, 0.001, 0.1015, 0.0633, 0.1218, 0.1494, 0.0233, 0.0343, 0.0436, 0.0046]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 24.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 25.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 26.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=2.0, features=DenseVector([24.0, 52.0, 43.0]), label=6.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=2.0, features=DenseVector([24.0, 52.0, 46.0]), label=11.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=2.0, features=DenseVector([24.0, 52.0, 48.0]), label=6.0, probability=DenseVector([0.0435, 0.1074, 0.2143, 0.1198, 0.03, 0.0016, 0.1189, 0.0774, 0.1163, 0.0793, 0.0191, 0.0289, 0.0372, 0.0065]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 32.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 35.0]), label=0.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 37.0]), label=0.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 40.0]), label=6.0, probability=DenseVector([0.0696, 0.0358, 0.0551, 0.0383, 0.0347, 0.0, 0.5838, 0.0253, 0.0546, 0.0547, 0.0165, 0.0135, 0.0173, 0.0007]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 41.0]), label=6.0, probability=DenseVector([0.0646, 0.0505, 0.0931, 0.0426, 0.0407, 0.0001, 0.5068, 0.0325, 0.059, 0.0563, 0.0177, 0.0148, 0.0192, 0.0023]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 30.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 41.0]), label=6.0, probability=DenseVector([0.0642, 0.0537, 0.089, 0.0435, 0.0412, 0.0001, 0.5094, 0.0307, 0.0568, 0.058, 0.017, 0.0133, 0.0199, 0.0031]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 42.0]), label=9.0, probability=DenseVector([0.0612, 0.1003, 0.1829, 0.0672, 0.0452, 0.0007, 0.245, 0.0625, 0.0894, 0.0638, 0.0219, 0.0204, 0.0329, 0.0067]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 42.0]), label=6.0, probability=DenseVector([0.0612, 0.1003, 0.1829, 0.0672, 0.0452, 0.0007, 0.245, 0.0625, 0.0894, 0.0638, 0.0219, 0.0204, 0.0329, 0.0067]))
Row(prediction=6.0, features=DenseVector([24.0, 55.0, 22.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 55.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 55.0, 37.0]), label=0.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 55.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 55.0, 40.0]), label=6.0, probability=DenseVector([0.0693, 0.039, 0.0511, 0.0393, 0.0352, 0.0, 0.5865, 0.0235, 0.0524, 0.0565, 0.0158, 0.012, 0.018, 0.0015]))
Row(prediction=6.0, features=DenseVector([24.0, 56.0, 25.0]), label=6.0, probability=DenseVector([0.0606, 0.0306, 0.0126, 0.0212, 0.021, 0.0, 0.7614, 0.0143, 0.0276, 0.0288, 0.0058, 0.0046, 0.0115, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 56.0, 31.0]), label=6.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 56.0, 36.0]), label=6.0, probability=DenseVector([0.0687, 0.0316, 0.0235, 0.0311, 0.0234, 0.0, 0.6935, 0.0155, 0.0401, 0.0408, 0.0094, 0.0065, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 56.0, 38.0]), label=0.0, probability=DenseVector([0.0703, 0.0316, 0.0266, 0.032, 0.0243, 0.0, 0.683, 0.0166, 0.0415, 0.0417, 0.0103, 0.0067, 0.0153, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 57.0, 30.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 57.0, 33.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 57.0, 38.0]), label=6.0, probability=DenseVector([0.0557, 0.0282, 0.0232, 0.0271, 0.0201, 0.0, 0.7273, 0.0128, 0.0353, 0.0421, 0.0095, 0.0056, 0.013, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 57.0, 42.0]), label=6.0, probability=DenseVector([0.0575, 0.0952, 0.1737, 0.0702, 0.0423, 0.0007, 0.2819, 0.0578, 0.0835, 0.0634, 0.0174, 0.0193, 0.0306, 0.0067]))
Row(prediction=9.0, features=DenseVector([24.0, 57.0, 63.0]), label=9.0, probability=DenseVector([0.0363, 0.1245, 0.1051, 0.0891, 0.0451, 0.0015, 0.0701, 0.0563, 0.1173, 0.2192, 0.0247, 0.031, 0.0764, 0.0034]))
Row(prediction=6.0, features=DenseVector([24.0, 58.0, 24.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 58.0, 27.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 60.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 60.0, 29.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 60.0, 42.0]), label=6.0, probability=DenseVector([0.0557, 0.0945, 0.1702, 0.0651, 0.0387, 0.0007, 0.3075, 0.0575, 0.0815, 0.0567, 0.0167, 0.0193, 0.0293, 0.0067]))
Row(prediction=6.0, features=DenseVector([24.0, 61.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 61.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 61.0, 31.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 61.0, 33.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 62.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 62.0, 29.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 62.0, 35.0]), label=6.0, probability=DenseVector([0.0486, 0.0275, 0.0172, 0.0228, 0.0181, 0.0, 0.7647, 0.0109, 0.0294, 0.0368, 0.007, 0.0047, 0.0122, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 62.0, 37.0]), label=6.0, probability=DenseVector([0.0539, 0.0273, 0.0232, 0.0266, 0.02, 0.0, 0.7332, 0.0124, 0.0344, 0.0412, 0.0093, 0.0056, 0.0128, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 63.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=1.0, features=DenseVector([25.0, 11.0, 37.0]), label=5.0, probability=DenseVector([0.0055, 0.3232, 0.0005, 0.2288, 0.013, 0.0854, 0.1819, 0.0007, 0.0025, 0.0968, 0.0074, 0.0005, 0.0536, 0.0]))
Row(prediction=1.0, features=DenseVector([25.0, 14.0, 37.0]), label=6.0, probability=DenseVector([0.0055, 0.3232, 0.0005, 0.2288, 0.013, 0.0854, 0.1819, 0.0007, 0.0025, 0.0968, 0.0074, 0.0005, 0.0536, 0.0]))
Row(prediction=3.0, features=DenseVector([25.0, 16.0, 42.0]), label=6.0, probability=DenseVector([0.0177, 0.2444, 0.0051, 0.2919, 0.0087, 0.1668, 0.1098, 0.0251, 0.0258, 0.0223, 0.0072, 0.0079, 0.0671, 0.0001]))
Row(prediction=1.0, features=DenseVector([25.0, 18.0, 38.0]), label=6.0, probability=DenseVector([0.0055, 0.3076, 0.0005, 0.2452, 0.0122, 0.0855, 0.1877, 0.0007, 0.0025, 0.0921, 0.0074, 0.0005, 0.0525, 0.0]))
Row(prediction=5.0, features=DenseVector([25.0, 18.0, 41.0]), label=6.0, probability=DenseVector([0.0133, 0.1777, 0.0021, 0.2301, 0.0069, 0.3181, 0.1544, 0.0091, 0.009, 0.0246, 0.0089, 0.0018, 0.0441, 0.0]))
Row(prediction=5.0, features=DenseVector([25.0, 19.0, 40.0]), label=6.0, probability=DenseVector([0.0056, 0.1519, 0.001, 0.2203, 0.0048, 0.3539, 0.1605, 0.0008, 0.0013, 0.0387, 0.0076, 0.0176, 0.036, 0.0]))
Row(prediction=3.0, features=DenseVector([25.0, 19.0, 44.0]), label=12.0, probability=DenseVector([0.0184, 0.2598, 0.0107, 0.3744, 0.0072, 0.0671, 0.0733, 0.0373, 0.0385, 0.022, 0.0022, 0.013, 0.0756, 0.0004]))
Row(prediction=1.0, features=DenseVector([25.0, 20.0, 25.0]), label=12.0, probability=DenseVector([0.0053, 0.3545, 0.0002, 0.213, 0.0129, 0.0722, 0.1909, 0.0009, 0.0024, 0.0881, 0.0073, 0.0003, 0.052, 0.0]))
Row(prediction=5.0, features=DenseVector([25.0, 21.0, 41.0]), label=6.0, probability=DenseVector([0.0133, 0.1777, 0.0021, 0.2301, 0.0069, 0.3181, 0.1544, 0.0091, 0.009, 0.0246, 0.0089, 0.0018, 0.0441, 0.0]))
Row(prediction=6.0, features=DenseVector([25.0, 23.0, 39.0]), label=6.0, probability=DenseVector([0.055, 0.0837, 0.0137, 0.0364, 0.0371, 0.0513, 0.5483, 0.0076, 0.0126, 0.0669, 0.0581, 0.002, 0.0268, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 23.0, 40.0]), label=6.0, probability=DenseVector([0.0587, 0.0695, 0.0155, 0.0297, 0.0396, 0.0444, 0.5628, 0.008, 0.0139, 0.0679, 0.0605, 0.0022, 0.0267, 0.0004]))
Row(prediction=3.0, features=DenseVector([25.0, 23.0, 42.0]), label=6.0, probability=DenseVector([0.0377, 0.2301, 0.0204, 0.236, 0.023, 0.066, 0.1745, 0.0375, 0.0396, 0.0317, 0.0214, 0.0101, 0.0705, 0.0016]))
Row(prediction=6.0, features=DenseVector([25.0, 24.0, 36.0]), label=6.0, probability=DenseVector([0.0467, 0.1673, 0.0084, 0.0477, 0.0333, 0.0289, 0.474, 0.0059, 0.0105, 0.0916, 0.0534, 0.0015, 0.0306, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 26.0, 40.0]), label=6.0, probability=DenseVector([0.0587, 0.0695, 0.0155, 0.0297, 0.0396, 0.0444, 0.5628, 0.008, 0.0139, 0.0679, 0.0605, 0.0022, 0.0267, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 26.0, 41.0]), label=6.0, probability=DenseVector([0.0621, 0.1284, 0.0218, 0.0743, 0.0376, 0.0639, 0.4056, 0.0212, 0.0253, 0.0575, 0.056, 0.0049, 0.04, 0.0015]))
Row(prediction=3.0, features=DenseVector([25.0, 26.0, 43.0]), label=6.0, probability=DenseVector([0.0278, 0.2569, 0.0201, 0.3165, 0.0137, 0.038, 0.1071, 0.0449, 0.0473, 0.0264, 0.0071, 0.0133, 0.0794, 0.0016]))
Row(prediction=6.0, features=DenseVector([25.0, 27.0, 34.0]), label=6.0, probability=DenseVector([0.0613, 0.0532, 0.0067, 0.0101, 0.0405, 0.0115, 0.6063, 0.008, 0.0087, 0.0959, 0.0734, 0.0033, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 27.0, 38.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 27.0, 39.0]), label=6.0, probability=DenseVector([0.06, 0.0642, 0.0138, 0.0243, 0.0406, 0.0156, 0.5903, 0.0082, 0.0129, 0.0766, 0.066, 0.0021, 0.025, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 27.0, 41.0]), label=6.0, probability=DenseVector([0.0661, 0.1156, 0.0297, 0.0626, 0.0423, 0.0224, 0.4345, 0.0235, 0.0282, 0.0708, 0.0595, 0.0057, 0.0373, 0.0017]))
Row(prediction=6.0, features=DenseVector([25.0, 27.0, 42.0]), label=6.0, probability=DenseVector([0.0492, 0.203, 0.0421, 0.1873, 0.031, 0.0163, 0.2071, 0.0487, 0.0544, 0.05, 0.027, 0.013, 0.0691, 0.0018]))
Row(prediction=3.0, features=DenseVector([25.0, 27.0, 44.0]), label=6.0, probability=DenseVector([0.0338, 0.2423, 0.047, 0.2987, 0.0155, 0.0175, 0.079, 0.059, 0.0663, 0.0322, 0.0065, 0.0177, 0.0828, 0.0018]))
Row(prediction=3.0, features=DenseVector([25.0, 27.0, 55.0]), label=12.0, probability=DenseVector([0.0102, 0.1924, 0.03, 0.3758, 0.0036, 0.0094, 0.0175, 0.0633, 0.0811, 0.0762, 0.0014, 0.0331, 0.1048, 0.0011]))
Row(prediction=6.0, features=DenseVector([25.0, 28.0, 31.0]), label=6.0, probability=DenseVector([0.0613, 0.0532, 0.0067, 0.0101, 0.0405, 0.0115, 0.6063, 0.008, 0.0087, 0.0959, 0.0734, 0.0033, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 28.0, 33.0]), label=6.0, probability=DenseVector([0.0613, 0.0532, 0.0067, 0.0101, 0.0405, 0.0115, 0.6063, 0.008, 0.0087, 0.0959, 0.0734, 0.0033, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 28.0, 38.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 28.0, 41.0]), label=0.0, probability=DenseVector([0.0661, 0.1156, 0.0297, 0.0626, 0.0423, 0.0224, 0.4345, 0.0235, 0.0282, 0.0708, 0.0595, 0.0057, 0.0373, 0.0017]))
Row(prediction=6.0, features=DenseVector([25.0, 29.0, 36.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=3.0, features=DenseVector([25.0, 29.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([25.0, 30.0, 34.0]), label=6.0, probability=DenseVector([0.0621, 0.0526, 0.0067, 0.0099, 0.042, 0.0115, 0.6092, 0.0078, 0.0087, 0.0868, 0.0743, 0.0076, 0.0208, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 30.0, 37.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 30.0, 38.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=3.0, features=DenseVector([25.0, 30.0, 44.0]), label=12.0, probability=DenseVector([0.0358, 0.2342, 0.0594, 0.2782, 0.0165, 0.0164, 0.0804, 0.0635, 0.0729, 0.0342, 0.0071, 0.0188, 0.0805, 0.0021]))
Row(prediction=6.0, features=DenseVector([25.0, 31.0, 19.0]), label=6.0, probability=DenseVector([0.0601, 0.1134, 0.0064, 0.0072, 0.0408, 0.0044, 0.5686, 0.0094, 0.0081, 0.0829, 0.071, 0.0077, 0.02, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 31.0, 36.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 31.0, 37.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 31.0, 39.0]), label=6.0, probability=DenseVector([0.06, 0.0642, 0.0138, 0.0243, 0.0406, 0.0156, 0.5903, 0.0082, 0.0129, 0.0766, 0.066, 0.0021, 0.025, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 32.0, 35.0]), label=6.0, probability=DenseVector([0.0806, 0.0503, 0.0099, 0.0123, 0.0505, 0.0115, 0.5563, 0.0091, 0.0128, 0.0809, 0.1021, 0.0019, 0.0217, 0.0002]))
Row(prediction=3.0, features=DenseVector([25.0, 32.0, 50.0]), label=11.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 32.0, 50.0]), label=9.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 46.0]), label=6.0, probability=DenseVector([0.0352, 0.2264, 0.0598, 0.2939, 0.0155, 0.0157, 0.07, 0.0653, 0.075, 0.0348, 0.007, 0.0196, 0.0797, 0.0022]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 52.0]), label=11.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 63.0]), label=9.0, probability=DenseVector([0.0116, 0.202, 0.0343, 0.39, 0.0041, 0.0104, 0.019, 0.0743, 0.0967, 0.0454, 0.0018, 0.0358, 0.0732, 0.0013]))
Row(prediction=6.0, features=DenseVector([25.0, 34.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 35.0, 34.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 35.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 35.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 35.0, 39.0]), label=6.0, probability=DenseVector([0.0842, 0.0548, 0.0151, 0.0157, 0.0562, 0.0115, 0.5269, 0.0109, 0.0149, 0.0768, 0.1074, 0.0025, 0.0225, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 35.0, 41.0]), label=6.0, probability=DenseVector([0.0727, 0.0969, 0.0343, 0.0614, 0.0472, 0.0178, 0.4257, 0.0286, 0.0363, 0.0636, 0.0752, 0.008, 0.0303, 0.0017]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 49.0]), label=0.0, probability=DenseVector([0.0378, 0.1591, 0.0986, 0.2543, 0.0114, 0.0252, 0.0355, 0.1109, 0.1305, 0.0365, 0.0062, 0.0407, 0.0508, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 53.0]), label=0.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=6.0, features=DenseVector([25.0, 36.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 36.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 45.0]), label=6.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 48.0]), label=6.0, probability=DenseVector([0.0391, 0.1582, 0.1055, 0.2421, 0.0123, 0.0245, 0.0382, 0.1113, 0.1311, 0.0374, 0.0066, 0.0402, 0.0509, 0.0026]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 49.0]), label=6.0, probability=DenseVector([0.0378, 0.1591, 0.0986, 0.2543, 0.0114, 0.0252, 0.0355, 0.1109, 0.1305, 0.0365, 0.0062, 0.0407, 0.0508, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 50.0]), label=11.0, probability=DenseVector([0.0378, 0.1591, 0.0986, 0.2543, 0.0114, 0.0252, 0.0355, 0.1109, 0.1305, 0.0365, 0.0062, 0.0407, 0.0508, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 54.0]), label=11.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 55.0]), label=6.0, probability=DenseVector([0.0319, 0.1741, 0.1088, 0.2077, 0.0095, 0.0239, 0.023, 0.1131, 0.1528, 0.0521, 0.0053, 0.0498, 0.0463, 0.0017]))
Row(prediction=6.0, features=DenseVector([25.0, 37.0, 22.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 37.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 37.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([25.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 37.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=6.0, features=DenseVector([25.0, 38.0, 30.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 38.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 49.0]), label=11.0, probability=DenseVector([0.0403, 0.1546, 0.1093, 0.2393, 0.0129, 0.0242, 0.0359, 0.1132, 0.1316, 0.0383, 0.007, 0.0424, 0.0487, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=6.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=6.0, features=DenseVector([25.0, 39.0, 25.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 39.0, 28.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 39.0, 33.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.0842, 0.0548, 0.0151, 0.0157, 0.0562, 0.0115, 0.5269, 0.0109, 0.0149, 0.0768, 0.1074, 0.0025, 0.0225, 0.0004]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 49.0]), label=1.0, probability=DenseVector([0.0403, 0.1546, 0.1093, 0.2393, 0.0129, 0.0242, 0.0359, 0.1132, 0.1316, 0.0383, 0.007, 0.0424, 0.0487, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 53.0]), label=6.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 59.0]), label=6.0, probability=DenseVector([0.0307, 0.1721, 0.1052, 0.2013, 0.0103, 0.0237, 0.0236, 0.1094, 0.1543, 0.0623, 0.0073, 0.0489, 0.0495, 0.0016]))
Row(prediction=6.0, features=DenseVector([25.0, 40.0, 27.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 40.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([25.0, 40.0, 46.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 49.0]), label=6.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 50.0]), label=0.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 50.0]), label=6.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 52.0]), label=11.0, probability=DenseVector([0.0498, 0.1437, 0.1387, 0.1988, 0.0123, 0.0155, 0.0342, 0.0987, 0.1496, 0.0498, 0.0068, 0.0491, 0.051, 0.002]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 52.0]), label=0.0, probability=DenseVector([0.0498, 0.1437, 0.1387, 0.1988, 0.0123, 0.0155, 0.0342, 0.0987, 0.1496, 0.0498, 0.0068, 0.0491, 0.051, 0.002]))
Row(prediction=6.0, features=DenseVector([25.0, 41.0, 40.0]), label=6.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=2.0, features=DenseVector([25.0, 41.0, 46.0]), label=6.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 49.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 50.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 50.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 50.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=6.0, features=DenseVector([25.0, 42.0, 25.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 42.0, 29.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 42.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 42.0, 33.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 42.0, 33.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 42.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 42.0, 41.0]), label=6.0, probability=DenseVector([0.0835, 0.0988, 0.0359, 0.0306, 0.0544, 0.0168, 0.4438, 0.0257, 0.0274, 0.0673, 0.0827, 0.0047, 0.0269, 0.0017]))
Row(prediction=6.0, features=DenseVector([25.0, 42.0, 42.0]), label=9.0, probability=DenseVector([0.0796, 0.1387, 0.1108, 0.0797, 0.0463, 0.0123, 0.1992, 0.0677, 0.0865, 0.0581, 0.0512, 0.0207, 0.0471, 0.0021]))
Row(prediction=2.0, features=DenseVector([25.0, 42.0, 44.0]), label=0.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 42.0, 47.0]), label=11.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 42.0, 48.0]), label=6.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=11.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 50.0]), label=9.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 50.0]), label=6.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 52.0]), label=11.0, probability=DenseVector([0.049, 0.1411, 0.1468, 0.1957, 0.013, 0.0155, 0.0365, 0.0953, 0.1486, 0.052, 0.0073, 0.0479, 0.0494, 0.002]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 54.0]), label=11.0, probability=DenseVector([0.05, 0.1489, 0.1434, 0.1763, 0.0142, 0.0155, 0.0366, 0.0937, 0.1485, 0.06, 0.0081, 0.0499, 0.0529, 0.002]))
Row(prediction=6.0, features=DenseVector([25.0, 43.0, 16.0]), label=6.0, probability=DenseVector([0.0869, 0.0646, 0.008, 0.0077, 0.0476, 0.0044, 0.5959, 0.0091, 0.0121, 0.0538, 0.0888, 0.0014, 0.0195, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 43.0, 25.0]), label=6.0, probability=DenseVector([0.0869, 0.0646, 0.008, 0.0077, 0.0476, 0.0044, 0.5959, 0.0091, 0.0121, 0.0538, 0.0888, 0.0014, 0.0195, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 43.0, 34.0]), label=6.0, probability=DenseVector([0.0972, 0.0548, 0.0094, 0.0111, 0.0519, 0.0115, 0.5536, 0.0097, 0.0129, 0.0688, 0.097, 0.0018, 0.0202, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 43.0, 35.0]), label=6.0, probability=DenseVector([0.0982, 0.0543, 0.0115, 0.0127, 0.0522, 0.0115, 0.5412, 0.0097, 0.0151, 0.072, 0.0978, 0.002, 0.0215, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 43.0, 40.0]), label=6.0, probability=DenseVector([0.096, 0.0602, 0.0182, 0.0166, 0.0549, 0.0116, 0.5213, 0.0109, 0.0179, 0.0786, 0.0869, 0.0028, 0.0237, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 43.0, 40.0]), label=6.0, probability=DenseVector([0.096, 0.0602, 0.0182, 0.0166, 0.0549, 0.0116, 0.5213, 0.0109, 0.0179, 0.0786, 0.0869, 0.0028, 0.0237, 0.0004]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 44.0]), label=6.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 44.0]), label=9.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 46.0]), label=6.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=6.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=11.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=11.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=0.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([25.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 43.0, 53.0]), label=11.0, probability=DenseVector([0.0494, 0.1446, 0.1505, 0.187, 0.0144, 0.0155, 0.0399, 0.0939, 0.1466, 0.0549, 0.0078, 0.0489, 0.0446, 0.002]))
Row(prediction=6.0, features=DenseVector([25.0, 44.0, 15.0]), label=0.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 44.0, 31.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 44.0, 32.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 44.0, 36.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 44.0, 42.0]), label=0.0, probability=DenseVector([0.086, 0.121, 0.1225, 0.0792, 0.0454, 0.0082, 0.2252, 0.0643, 0.0866, 0.0621, 0.0344, 0.0216, 0.0411, 0.0024]))
Row(prediction=6.0, features=DenseVector([25.0, 44.0, 42.0]), label=9.0, probability=DenseVector([0.086, 0.121, 0.1225, 0.0792, 0.0454, 0.0082, 0.2252, 0.0643, 0.0866, 0.0621, 0.0344, 0.0216, 0.0411, 0.0024]))
Row(prediction=2.0, features=DenseVector([25.0, 44.0, 44.0]), label=6.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 44.0, 47.0]), label=11.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 44.0, 50.0]), label=11.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 44.0, 50.0]), label=6.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([25.0, 45.0, 27.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 45.0, 36.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 45.0, 36.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 45.0, 40.0]), label=9.0, probability=DenseVector([0.1023, 0.0602, 0.0221, 0.0156, 0.0518, 0.0073, 0.5347, 0.0124, 0.0194, 0.0771, 0.0698, 0.0031, 0.0235, 0.0006]))
Row(prediction=6.0, features=DenseVector([25.0, 45.0, 40.0]), label=6.0, probability=DenseVector([0.1023, 0.0602, 0.0221, 0.0156, 0.0518, 0.0073, 0.5347, 0.0124, 0.0194, 0.0771, 0.0698, 0.0031, 0.0235, 0.0006]))
Row(prediction=6.0, features=DenseVector([25.0, 45.0, 42.0]), label=6.0, probability=DenseVector([0.0856, 0.1194, 0.1328, 0.0715, 0.0454, 0.0029, 0.2295, 0.0645, 0.0876, 0.0628, 0.0341, 0.0218, 0.0397, 0.0027]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 43.0]), label=6.0, probability=DenseVector([0.0706, 0.127, 0.1751, 0.0918, 0.0355, 0.0035, 0.1481, 0.0759, 0.111, 0.0616, 0.024, 0.0282, 0.0433, 0.0043]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=6.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=1.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 48.0]), label=6.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=3.0, features=DenseVector([25.0, 45.0, 53.0]), label=9.0, probability=DenseVector([0.0471, 0.1411, 0.1704, 0.1775, 0.0147, 0.0107, 0.0436, 0.0905, 0.1448, 0.0566, 0.008, 0.048, 0.0424, 0.0048]))
Row(prediction=6.0, features=DenseVector([25.0, 46.0, 32.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 46.0, 32.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 46.0, 33.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 46.0, 34.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 46.0, 38.0]), label=0.0, probability=DenseVector([0.1085, 0.0563, 0.0174, 0.0152, 0.0494, 0.0072, 0.548, 0.012, 0.02, 0.067, 0.0737, 0.0034, 0.0217, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 46.0, 38.0]), label=6.0, probability=DenseVector([0.1085, 0.0563, 0.0174, 0.0152, 0.0494, 0.0072, 0.548, 0.012, 0.02, 0.067, 0.0737, 0.0034, 0.0217, 0.0003]))
Row(prediction=6.0, features=DenseVector([25.0, 46.0, 39.0]), label=6.0, probability=DenseVector([0.1071, 0.0602, 0.0225, 0.0185, 0.051, 0.0072, 0.5336, 0.0131, 0.0215, 0.0712, 0.0663, 0.004, 0.0232, 0.0006]))
Row(prediction=6.0, features=DenseVector([25.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.0977, 0.0805, 0.0609, 0.029, 0.054, 0.0074, 0.4473, 0.0248, 0.0348, 0.0698, 0.0599, 0.0067, 0.025, 0.0024]))
Row(prediction=6.0, features=DenseVector([25.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.0977, 0.0805, 0.0609, 0.029, 0.054, 0.0074, 0.4473, 0.0248, 0.0348, 0.0698, 0.0599, 0.0067, 0.025, 0.0024]))
Row(prediction=6.0, features=DenseVector([25.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.0977, 0.0805, 0.0609, 0.029, 0.054, 0.0074, 0.4473, 0.0248, 0.0348, 0.0698, 0.0599, 0.0067, 0.025, 0.0024]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 45.0]), label=11.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 45.0]), label=11.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 45.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 46.0]), label=11.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 48.0]), label=6.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 50.0]), label=0.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 54.0]), label=0.0, probability=DenseVector([0.0385, 0.136, 0.2023, 0.1503, 0.017, 0.0091, 0.0557, 0.0845, 0.1401, 0.0697, 0.0096, 0.0414, 0.0366, 0.0093]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 60.0]), label=9.0, probability=DenseVector([0.0361, 0.1335, 0.1889, 0.1282, 0.0248, 0.005, 0.0548, 0.0764, 0.1391, 0.1054, 0.0138, 0.0403, 0.0454, 0.0085]))
Row(prediction=6.0, features=DenseVector([25.0, 47.0, 27.0]), label=0.0, probability=DenseVector([0.1026, 0.061, 0.0137, 0.0107, 0.0419, 0.0001, 0.6268, 0.0128, 0.0195, 0.0451, 0.0471, 0.0025, 0.0158, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 47.0, 34.0]), label=6.0, probability=DenseVector([0.1088, 0.0524, 0.0146, 0.0137, 0.045, 0.0072, 0.5986, 0.0134, 0.0202, 0.0535, 0.0523, 0.0027, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.1095, 0.0528, 0.0208, 0.0195, 0.0455, 0.0072, 0.5613, 0.0127, 0.0277, 0.0636, 0.0543, 0.004, 0.0208, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 47.0, 38.0]), label=6.0, probability=DenseVector([0.1063, 0.0549, 0.0219, 0.0207, 0.0462, 0.0072, 0.553, 0.0135, 0.0267, 0.0674, 0.0555, 0.0046, 0.0218, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 47.0, 39.0]), label=0.0, probability=DenseVector([0.1056, 0.0566, 0.0259, 0.0239, 0.0476, 0.0072, 0.5405, 0.0142, 0.028, 0.0694, 0.0529, 0.0051, 0.0226, 0.0007]))
Row(prediction=6.0, features=DenseVector([25.0, 47.0, 40.0]), label=0.0, probability=DenseVector([0.104, 0.0594, 0.0331, 0.0258, 0.0493, 0.0072, 0.5242, 0.0155, 0.0316, 0.0714, 0.0497, 0.0052, 0.0227, 0.0008]))
Row(prediction=6.0, features=DenseVector([25.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0879, 0.0683, 0.0756, 0.035, 0.0495, 0.0073, 0.4707, 0.0251, 0.0427, 0.0636, 0.0417, 0.0075, 0.0226, 0.0024]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 46.0]), label=9.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 46.0]), label=11.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 46.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 47.0]), label=11.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 49.0]), label=11.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 28.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 37.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 37.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.09, 0.0476, 0.0363, 0.0336, 0.0379, 0.0001, 0.5862, 0.0204, 0.0416, 0.0525, 0.0269, 0.0077, 0.0185, 0.0007]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.0893, 0.0485, 0.0419, 0.0349, 0.0386, 0.0001, 0.5754, 0.0216, 0.0441, 0.0522, 0.0271, 0.0076, 0.0178, 0.0008]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 42.0]), label=9.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 43.0]), label=2.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 43.0]), label=0.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 46.0]), label=11.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 57.0]), label=6.0, probability=DenseVector([0.0305, 0.1338, 0.1812, 0.1219, 0.0309, 0.0048, 0.052, 0.0681, 0.1303, 0.1366, 0.0144, 0.037, 0.05, 0.0083]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 60.0]), label=9.0, probability=DenseVector([0.0305, 0.1338, 0.1812, 0.1219, 0.0309, 0.0048, 0.052, 0.0681, 0.1303, 0.1366, 0.0144, 0.037, 0.05, 0.0083]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 24.0]), label=0.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 36.0]), label=0.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 42.0]), label=0.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 46.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 46.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 22.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 23.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 25.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 26.0]), label=0.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 26.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 27.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 34.0]), label=0.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 35.0]), label=9.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 35.0]), label=9.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=2.0, features=DenseVector([25.0, 50.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 50.0, 44.0]), label=0.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 50.0, 45.0]), label=11.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 50.0, 46.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 50.0, 48.0]), label=0.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 23.0]), label=8.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 24.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 25.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 25.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 26.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 28.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 34.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 34.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 35.0]), label=0.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 36.0]), label=0.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 36.0]), label=0.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.0699, 0.036, 0.0586, 0.0388, 0.0341, 0.0, 0.5724, 0.0277, 0.062, 0.0519, 0.0175, 0.0128, 0.018, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.0699, 0.036, 0.0586, 0.0388, 0.0341, 0.0, 0.5724, 0.0277, 0.062, 0.0519, 0.0175, 0.0128, 0.018, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.0699, 0.036, 0.0586, 0.0388, 0.0341, 0.0, 0.5724, 0.0277, 0.062, 0.0519, 0.0175, 0.0128, 0.018, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 42.0]), label=2.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 24.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 25.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 26.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 29.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 32.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 35.0]), label=0.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 35.0]), label=0.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 38.0]), label=11.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 40.0]), label=11.0, probability=DenseVector([0.0699, 0.036, 0.0586, 0.0388, 0.0341, 0.0, 0.5724, 0.0277, 0.062, 0.0519, 0.0175, 0.0128, 0.018, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 40.0]), label=6.0, probability=DenseVector([0.0699, 0.036, 0.0586, 0.0388, 0.0341, 0.0, 0.5724, 0.0277, 0.062, 0.0519, 0.0175, 0.0128, 0.018, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 42.0]), label=6.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 42.0]), label=6.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 42.0]), label=6.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=2.0, features=DenseVector([25.0, 52.0, 43.0]), label=6.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=2.0, features=DenseVector([25.0, 52.0, 46.0]), label=6.0, probability=DenseVector([0.0446, 0.1026, 0.2576, 0.0869, 0.0297, 0.0009, 0.1414, 0.0733, 0.1099, 0.066, 0.0185, 0.0261, 0.0336, 0.0088]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 30.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 32.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 34.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 40.0]), label=6.0, probability=DenseVector([0.0696, 0.0358, 0.0551, 0.0383, 0.0347, 0.0, 0.5838, 0.0253, 0.0546, 0.0547, 0.0165, 0.0135, 0.0173, 0.0007]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 40.0]), label=0.0, probability=DenseVector([0.0696, 0.0358, 0.0551, 0.0383, 0.0347, 0.0, 0.5838, 0.0253, 0.0546, 0.0547, 0.0165, 0.0135, 0.0173, 0.0007]))
Row(prediction=2.0, features=DenseVector([25.0, 53.0, 45.0]), label=6.0, probability=DenseVector([0.0496, 0.1004, 0.2314, 0.0825, 0.036, 0.0009, 0.1605, 0.0696, 0.1067, 0.0707, 0.0234, 0.0254, 0.0342, 0.0087]))
Row(prediction=2.0, features=DenseVector([25.0, 53.0, 45.0]), label=6.0, probability=DenseVector([0.0496, 0.1004, 0.2314, 0.0825, 0.036, 0.0009, 0.1605, 0.0696, 0.1067, 0.0707, 0.0234, 0.0254, 0.0342, 0.0087]))
Row(prediction=2.0, features=DenseVector([25.0, 53.0, 49.0]), label=9.0, probability=DenseVector([0.0427, 0.1068, 0.1985, 0.1171, 0.0363, 0.0016, 0.1154, 0.0738, 0.115, 0.099, 0.0233, 0.0286, 0.0359, 0.006]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 25.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 42.0]), label=6.0, probability=DenseVector([0.0612, 0.1003, 0.1829, 0.0672, 0.0452, 0.0007, 0.245, 0.0625, 0.0894, 0.0638, 0.0219, 0.0204, 0.0329, 0.0067]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 43.0]), label=6.0, probability=DenseVector([0.0589, 0.1005, 0.1899, 0.0707, 0.043, 0.0007, 0.2396, 0.062, 0.0893, 0.0634, 0.0215, 0.0204, 0.0324, 0.0076]))
Row(prediction=2.0, features=DenseVector([25.0, 54.0, 44.0]), label=6.0, probability=DenseVector([0.0507, 0.1013, 0.218, 0.0779, 0.0368, 0.0009, 0.1769, 0.0693, 0.1065, 0.0702, 0.0227, 0.0253, 0.0348, 0.0086]))
Row(prediction=2.0, features=DenseVector([25.0, 54.0, 45.0]), label=6.0, probability=DenseVector([0.0507, 0.1013, 0.218, 0.0779, 0.0368, 0.0009, 0.1769, 0.0693, 0.1065, 0.0702, 0.0227, 0.0253, 0.0348, 0.0086]))
Row(prediction=6.0, features=DenseVector([25.0, 55.0, 27.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 55.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 55.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 55.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 55.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 56.0, 33.0]), label=6.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 56.0, 36.0]), label=6.0, probability=DenseVector([0.0687, 0.0316, 0.0235, 0.0311, 0.0234, 0.0, 0.6935, 0.0155, 0.0401, 0.0408, 0.0094, 0.0065, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 56.0, 38.0]), label=6.0, probability=DenseVector([0.0703, 0.0316, 0.0266, 0.032, 0.0243, 0.0, 0.683, 0.0166, 0.0415, 0.0417, 0.0103, 0.0067, 0.0153, 0.0001]))
Row(prediction=9.0, features=DenseVector([25.0, 56.0, 52.0]), label=9.0, probability=DenseVector([0.0328, 0.1075, 0.1184, 0.1208, 0.046, 0.0021, 0.0838, 0.0603, 0.1086, 0.2313, 0.0202, 0.0253, 0.0394, 0.0035]))
Row(prediction=6.0, features=DenseVector([25.0, 57.0, 32.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 57.0, 33.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 57.0, 35.0]), label=6.0, probability=DenseVector([0.0504, 0.0284, 0.0172, 0.0233, 0.0181, 0.0, 0.7588, 0.0113, 0.0303, 0.0377, 0.0071, 0.0047, 0.0124, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 57.0, 36.0]), label=6.0, probability=DenseVector([0.0541, 0.0282, 0.0201, 0.0263, 0.0192, 0.0, 0.7378, 0.0118, 0.0339, 0.0412, 0.0086, 0.0054, 0.0133, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 57.0, 36.0]), label=6.0, probability=DenseVector([0.0541, 0.0282, 0.0201, 0.0263, 0.0192, 0.0, 0.7378, 0.0118, 0.0339, 0.0412, 0.0086, 0.0054, 0.0133, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 57.0, 41.0]), label=6.0, probability=DenseVector([0.0617, 0.0517, 0.0825, 0.0452, 0.0398, 0.0001, 0.5343, 0.0267, 0.0512, 0.0598, 0.014, 0.0108, 0.0192, 0.0031]))
Row(prediction=6.0, features=DenseVector([25.0, 58.0, 16.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 58.0, 24.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 58.0, 26.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 58.0, 34.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 58.0, 42.0]), label=6.0, probability=DenseVector([0.0575, 0.0952, 0.1737, 0.0702, 0.0423, 0.0007, 0.2819, 0.0578, 0.0835, 0.0634, 0.0174, 0.0193, 0.0306, 0.0067]))
Row(prediction=6.0, features=DenseVector([25.0, 59.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 59.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 59.0, 36.0]), label=6.0, probability=DenseVector([0.0524, 0.0273, 0.0201, 0.0258, 0.0191, 0.0, 0.7437, 0.0114, 0.033, 0.0403, 0.0084, 0.0054, 0.0131, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 60.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 60.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 60.0, 34.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 61.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 61.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 63.0, 13.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 63.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 63.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 63.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 63.0, 31.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.0539, 0.0273, 0.0232, 0.0266, 0.02, 0.0, 0.7332, 0.0124, 0.0344, 0.0412, 0.0093, 0.0056, 0.0128, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 63.0, 43.0]), label=6.0, probability=DenseVector([0.0528, 0.0962, 0.1772, 0.0685, 0.0543, 0.0007, 0.2729, 0.0629, 0.0832, 0.0593, 0.0163, 0.0193, 0.0288, 0.0076]))
Row(prediction=5.0, features=DenseVector([26.0, 11.0, 39.0]), label=6.0, probability=DenseVector([0.0056, 0.1659, 0.001, 0.2211, 0.0055, 0.3251, 0.1685, 0.0008, 0.0015, 0.0426, 0.0076, 0.0176, 0.0372, 0.0]))
Row(prediction=5.0, features=DenseVector([26.0, 14.0, 39.0]), label=6.0, probability=DenseVector([0.0056, 0.1659, 0.001, 0.2211, 0.0055, 0.3251, 0.1685, 0.0008, 0.0015, 0.0426, 0.0076, 0.0176, 0.0372, 0.0]))
Row(prediction=5.0, features=DenseVector([26.0, 14.0, 40.0]), label=5.0, probability=DenseVector([0.0056, 0.1519, 0.001, 0.2203, 0.0048, 0.3539, 0.1605, 0.0008, 0.0013, 0.0387, 0.0076, 0.0176, 0.036, 0.0]))
Row(prediction=5.0, features=DenseVector([26.0, 15.0, 41.0]), label=6.0, probability=DenseVector([0.0133, 0.1777, 0.0021, 0.2301, 0.0069, 0.3181, 0.1544, 0.0091, 0.009, 0.0246, 0.0089, 0.0018, 0.0441, 0.0]))
Row(prediction=1.0, features=DenseVector([26.0, 17.0, 34.0]), label=6.0, probability=DenseVector([0.0086, 0.314, 0.0005, 0.2157, 0.0144, 0.0792, 0.2149, 0.0013, 0.0029, 0.0874, 0.0096, 0.0003, 0.0513, 0.0]))
Row(prediction=5.0, features=DenseVector([26.0, 21.0, 39.0]), label=6.0, probability=DenseVector([0.0056, 0.1659, 0.001, 0.2211, 0.0055, 0.3251, 0.1685, 0.0008, 0.0015, 0.0426, 0.0076, 0.0176, 0.0372, 0.0]))
Row(prediction=3.0, features=DenseVector([26.0, 21.0, 42.0]), label=6.0, probability=DenseVector([0.0177, 0.2444, 0.0051, 0.2919, 0.0087, 0.1668, 0.1098, 0.0251, 0.0258, 0.0223, 0.0072, 0.0079, 0.0671, 0.0001]))
Row(prediction=3.0, features=DenseVector([26.0, 21.0, 49.0]), label=12.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=6.0, features=DenseVector([26.0, 22.0, 41.0]), label=6.0, probability=DenseVector([0.0621, 0.1284, 0.0218, 0.0743, 0.0376, 0.0639, 0.4056, 0.0212, 0.0253, 0.0575, 0.056, 0.0049, 0.04, 0.0015]))
Row(prediction=3.0, features=DenseVector([26.0, 23.0, 43.0]), label=6.0, probability=DenseVector([0.0278, 0.2569, 0.0201, 0.3165, 0.0137, 0.038, 0.1071, 0.0449, 0.0473, 0.0264, 0.0071, 0.0133, 0.0794, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 24.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([26.0, 25.0, 34.0]), label=6.0, probability=DenseVector([0.0456, 0.1677, 0.0064, 0.0461, 0.0329, 0.0289, 0.4865, 0.0059, 0.0083, 0.0884, 0.0526, 0.0012, 0.0293, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 26.0, 37.0]), label=6.0, probability=DenseVector([0.0467, 0.1673, 0.0084, 0.0477, 0.0333, 0.0289, 0.474, 0.0059, 0.0105, 0.0916, 0.0534, 0.0015, 0.0306, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 27.0, 37.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 27.0, 38.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 27.0, 39.0]), label=6.0, probability=DenseVector([0.06, 0.0642, 0.0138, 0.0243, 0.0406, 0.0156, 0.5903, 0.0082, 0.0129, 0.0766, 0.066, 0.0021, 0.025, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 27.0, 40.0]), label=6.0, probability=DenseVector([0.0592, 0.0662, 0.0155, 0.0249, 0.0416, 0.0156, 0.5848, 0.0084, 0.0141, 0.0789, 0.0625, 0.0023, 0.0257, 0.0004]))
Row(prediction=3.0, features=DenseVector([26.0, 27.0, 45.0]), label=6.0, probability=DenseVector([0.0338, 0.2423, 0.047, 0.2987, 0.0155, 0.0175, 0.079, 0.059, 0.0663, 0.0322, 0.0065, 0.0177, 0.0828, 0.0018]))
Row(prediction=3.0, features=DenseVector([26.0, 27.0, 47.0]), label=6.0, probability=DenseVector([0.0318, 0.2207, 0.0483, 0.3531, 0.012, 0.0161, 0.0502, 0.0609, 0.0697, 0.0327, 0.0061, 0.0196, 0.0771, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 27.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([26.0, 28.0, 35.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 28.0, 35.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=3.0, features=DenseVector([26.0, 28.0, 43.0]), label=6.0, probability=DenseVector([0.0389, 0.2332, 0.0418, 0.2726, 0.0197, 0.0171, 0.1177, 0.0558, 0.062, 0.0337, 0.0108, 0.0162, 0.0789, 0.0017]))
Row(prediction=3.0, features=DenseVector([26.0, 28.0, 56.0]), label=9.0, probability=DenseVector([0.0102, 0.1924, 0.03, 0.3758, 0.0036, 0.0094, 0.0175, 0.0633, 0.0811, 0.0762, 0.0014, 0.0331, 0.1048, 0.0011]))
Row(prediction=3.0, features=DenseVector([26.0, 28.0, 57.0]), label=12.0, probability=DenseVector([0.0102, 0.1924, 0.03, 0.3758, 0.0036, 0.0094, 0.0175, 0.0633, 0.0811, 0.0762, 0.0014, 0.0331, 0.1048, 0.0011]))
Row(prediction=6.0, features=DenseVector([26.0, 29.0, 26.0]), label=6.0, probability=DenseVector([0.0593, 0.114, 0.0064, 0.0074, 0.0393, 0.0044, 0.5657, 0.0096, 0.0081, 0.0919, 0.0701, 0.0034, 0.0203, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 29.0, 34.0]), label=6.0, probability=DenseVector([0.0613, 0.0532, 0.0067, 0.0101, 0.0405, 0.0115, 0.6063, 0.008, 0.0087, 0.0959, 0.0734, 0.0033, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([26.0, 29.0, 53.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([26.0, 30.0, 32.0]), label=6.0, probability=DenseVector([0.0621, 0.0526, 0.0067, 0.0099, 0.042, 0.0115, 0.6092, 0.0078, 0.0087, 0.0868, 0.0743, 0.0076, 0.0208, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 30.0, 33.0]), label=6.0, probability=DenseVector([0.0621, 0.0526, 0.0067, 0.0099, 0.042, 0.0115, 0.6092, 0.0078, 0.0087, 0.0868, 0.0743, 0.0076, 0.0208, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 30.0, 34.0]), label=6.0, probability=DenseVector([0.0621, 0.0526, 0.0067, 0.0099, 0.042, 0.0115, 0.6092, 0.0078, 0.0087, 0.0868, 0.0743, 0.0076, 0.0208, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 30.0, 37.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 30.0, 40.0]), label=12.0, probability=DenseVector([0.0592, 0.0662, 0.0155, 0.0249, 0.0416, 0.0156, 0.5848, 0.0084, 0.0141, 0.0789, 0.0625, 0.0023, 0.0257, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 30.0, 40.0]), label=6.0, probability=DenseVector([0.0592, 0.0662, 0.0155, 0.0249, 0.0416, 0.0156, 0.5848, 0.0084, 0.0141, 0.0789, 0.0625, 0.0023, 0.0257, 0.0004]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 54.0]), label=12.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=6.0, features=DenseVector([26.0, 31.0, 35.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 31.0, 35.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 31.0, 39.0]), label=6.0, probability=DenseVector([0.06, 0.0642, 0.0138, 0.0243, 0.0406, 0.0156, 0.5903, 0.0082, 0.0129, 0.0766, 0.066, 0.0021, 0.025, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 31.0, 39.0]), label=6.0, probability=DenseVector([0.06, 0.0642, 0.0138, 0.0243, 0.0406, 0.0156, 0.5903, 0.0082, 0.0129, 0.0766, 0.066, 0.0021, 0.025, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 31.0, 40.0]), label=6.0, probability=DenseVector([0.0592, 0.0662, 0.0155, 0.0249, 0.0416, 0.0156, 0.5848, 0.0084, 0.0141, 0.0789, 0.0625, 0.0023, 0.0257, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 31.0, 41.0]), label=6.0, probability=DenseVector([0.0661, 0.1156, 0.0297, 0.0626, 0.0423, 0.0224, 0.4345, 0.0235, 0.0282, 0.0708, 0.0595, 0.0057, 0.0373, 0.0017]))
Row(prediction=3.0, features=DenseVector([26.0, 31.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 31.0, 54.0]), label=12.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=6.0, features=DenseVector([26.0, 32.0, 26.0]), label=6.0, probability=DenseVector([0.065, 0.0604, 0.0065, 0.0072, 0.0396, 0.0044, 0.64, 0.0077, 0.0101, 0.0629, 0.0744, 0.0013, 0.0204, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 32.0, 41.0]), label=6.0, probability=DenseVector([0.0685, 0.1084, 0.0298, 0.0532, 0.0439, 0.0183, 0.4451, 0.0237, 0.0288, 0.0732, 0.0626, 0.0057, 0.0372, 0.0017]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 52.0]), label=9.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 56.0]), label=12.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=6.0, features=DenseVector([26.0, 33.0, 29.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=1.0, features=DenseVector([26.0, 33.0, 42.0]), label=6.0, probability=DenseVector([0.0542, 0.2036, 0.0423, 0.1873, 0.0352, 0.0163, 0.1922, 0.0494, 0.055, 0.0416, 0.0398, 0.013, 0.0684, 0.0018]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 52.0]), label=11.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 52.0]), label=9.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 52.0]), label=9.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=6.0, features=DenseVector([26.0, 34.0, 34.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 34.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 49.0]), label=11.0, probability=DenseVector([0.0287, 0.1665, 0.0767, 0.3351, 0.0083, 0.026, 0.0283, 0.094, 0.1096, 0.0318, 0.0046, 0.0335, 0.0546, 0.0023]))
Row(prediction=6.0, features=DenseVector([26.0, 35.0, 40.0]), label=6.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 35.0, 41.0]), label=6.0, probability=DenseVector([0.0727, 0.0969, 0.0343, 0.0614, 0.0472, 0.0178, 0.4257, 0.0286, 0.0363, 0.0636, 0.0752, 0.008, 0.0303, 0.0017]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 52.0]), label=11.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 52.0]), label=11.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 54.0]), label=11.0, probability=DenseVector([0.0315, 0.1709, 0.1061, 0.2231, 0.009, 0.0204, 0.022, 0.1144, 0.1547, 0.047, 0.0053, 0.0495, 0.0437, 0.0022]))
Row(prediction=6.0, features=DenseVector([26.0, 36.0, 25.0]), label=9.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 36.0, 42.0]), label=6.0, probability=DenseVector([0.0652, 0.1571, 0.077, 0.1395, 0.0356, 0.0138, 0.1681, 0.0837, 0.0952, 0.0463, 0.0415, 0.0259, 0.0492, 0.002]))
Row(prediction=6.0, features=DenseVector([26.0, 36.0, 42.0]), label=6.0, probability=DenseVector([0.0652, 0.1571, 0.077, 0.1395, 0.0356, 0.0138, 0.1681, 0.0837, 0.0952, 0.0463, 0.0415, 0.0259, 0.0492, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 48.0]), label=9.0, probability=DenseVector([0.0391, 0.1582, 0.1055, 0.2421, 0.0123, 0.0245, 0.0382, 0.1113, 0.1311, 0.0374, 0.0066, 0.0402, 0.0509, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 49.0]), label=6.0, probability=DenseVector([0.0378, 0.1591, 0.0986, 0.2543, 0.0114, 0.0252, 0.0355, 0.1109, 0.1305, 0.0365, 0.0062, 0.0407, 0.0508, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 50.0]), label=6.0, probability=DenseVector([0.0378, 0.1591, 0.0986, 0.2543, 0.0114, 0.0252, 0.0355, 0.1109, 0.1305, 0.0365, 0.0062, 0.0407, 0.0508, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=6.0, features=DenseVector([26.0, 37.0, 29.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 37.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 43.0]), label=12.0, probability=DenseVector([0.055, 0.1702, 0.1032, 0.1749, 0.0219, 0.017, 0.0949, 0.1017, 0.1189, 0.0411, 0.0137, 0.0321, 0.0528, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 43.0]), label=0.0, probability=DenseVector([0.055, 0.1702, 0.1032, 0.1749, 0.0219, 0.017, 0.0949, 0.1017, 0.1189, 0.0411, 0.0137, 0.0321, 0.0528, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 48.0]), label=11.0, probability=DenseVector([0.0416, 0.1536, 0.1163, 0.2271, 0.0137, 0.0236, 0.0386, 0.1135, 0.1322, 0.0392, 0.0074, 0.0419, 0.0488, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 50.0]), label=6.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=11.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=11.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=11.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=11.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=11.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=6.0, features=DenseVector([26.0, 38.0, 39.0]), label=6.0, probability=DenseVector([0.0842, 0.0548, 0.0151, 0.0157, 0.0562, 0.0115, 0.5269, 0.0109, 0.0149, 0.0768, 0.1074, 0.0025, 0.0225, 0.0004]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 43.0]), label=9.0, probability=DenseVector([0.055, 0.1702, 0.1032, 0.1749, 0.0219, 0.017, 0.0949, 0.1017, 0.1189, 0.0411, 0.0137, 0.0321, 0.0528, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 43.0]), label=6.0, probability=DenseVector([0.055, 0.1702, 0.1032, 0.1749, 0.0219, 0.017, 0.0949, 0.1017, 0.1189, 0.0411, 0.0137, 0.0321, 0.0528, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 45.0]), label=6.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 46.0]), label=9.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 46.0]), label=9.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 48.0]), label=1.0, probability=DenseVector([0.0416, 0.1536, 0.1163, 0.2271, 0.0137, 0.0236, 0.0386, 0.1135, 0.1322, 0.0392, 0.0074, 0.0419, 0.0488, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 50.0]), label=6.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 57.0]), label=11.0, probability=DenseVector([0.0307, 0.1721, 0.1052, 0.2013, 0.0103, 0.0237, 0.0236, 0.1094, 0.1543, 0.0623, 0.0073, 0.0489, 0.0495, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 58.0]), label=12.0, probability=DenseVector([0.0307, 0.1721, 0.1052, 0.2013, 0.0103, 0.0237, 0.0236, 0.1094, 0.1543, 0.0623, 0.0073, 0.0489, 0.0495, 0.0016]))
Row(prediction=6.0, features=DenseVector([26.0, 39.0, 24.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 39.0, 39.0]), label=6.0, probability=DenseVector([0.0842, 0.0548, 0.0151, 0.0157, 0.0562, 0.0115, 0.5269, 0.0109, 0.0149, 0.0768, 0.1074, 0.0025, 0.0225, 0.0004]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 43.0]), label=6.0, probability=DenseVector([0.055, 0.1702, 0.1032, 0.1749, 0.0219, 0.017, 0.0949, 0.1017, 0.1189, 0.0411, 0.0137, 0.0321, 0.0528, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 48.0]), label=9.0, probability=DenseVector([0.0416, 0.1536, 0.1163, 0.2271, 0.0137, 0.0236, 0.0386, 0.1135, 0.1322, 0.0392, 0.0074, 0.0419, 0.0488, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 50.0]), label=11.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 50.0]), label=6.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 53.0]), label=6.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 55.0]), label=9.0, probability=DenseVector([0.0319, 0.1741, 0.1088, 0.2077, 0.0095, 0.0239, 0.023, 0.1131, 0.1528, 0.0521, 0.0053, 0.0498, 0.0463, 0.0017]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 55.0]), label=11.0, probability=DenseVector([0.0319, 0.1741, 0.1088, 0.2077, 0.0095, 0.0239, 0.023, 0.1131, 0.1528, 0.0521, 0.0053, 0.0498, 0.0463, 0.0017]))
Row(prediction=6.0, features=DenseVector([26.0, 40.0, 24.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 40.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 40.0, 39.0]), label=6.0, probability=DenseVector([0.0842, 0.0548, 0.0151, 0.0157, 0.0562, 0.0115, 0.5269, 0.0109, 0.0149, 0.0768, 0.1074, 0.0025, 0.0225, 0.0004]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 49.0]), label=6.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 50.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 50.0]), label=6.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=6.0, features=DenseVector([26.0, 41.0, 22.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 41.0, 31.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 41.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 41.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 41.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 41.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 41.0, 41.0]), label=6.0, probability=DenseVector([0.0817, 0.106, 0.0353, 0.0333, 0.0525, 0.017, 0.44, 0.0258, 0.0281, 0.0653, 0.0795, 0.0047, 0.0292, 0.0017]))
Row(prediction=2.0, features=DenseVector([26.0, 41.0, 47.0]), label=9.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 50.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 51.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 51.0]), label=11.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0498, 0.1437, 0.1387, 0.1988, 0.0123, 0.0155, 0.0342, 0.0987, 0.1496, 0.0498, 0.0068, 0.0491, 0.051, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 55.0]), label=11.0, probability=DenseVector([0.0494, 0.1474, 0.1319, 0.1775, 0.0153, 0.018, 0.0347, 0.0943, 0.1523, 0.0667, 0.0083, 0.0468, 0.0553, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 58.0]), label=0.0, probability=DenseVector([0.0478, 0.1478, 0.1226, 0.1622, 0.0187, 0.0124, 0.0358, 0.088, 0.1551, 0.0887, 0.0117, 0.0465, 0.0615, 0.0013]))
Row(prediction=6.0, features=DenseVector([26.0, 42.0, 22.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 42.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 42.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=1.0, features=DenseVector([26.0, 42.0, 43.0]), label=6.0, probability=DenseVector([0.0722, 0.1478, 0.1475, 0.1037, 0.0332, 0.0112, 0.1292, 0.0822, 0.1125, 0.0546, 0.0239, 0.028, 0.0517, 0.0025]))
Row(prediction=2.0, features=DenseVector([26.0, 42.0, 45.0]), label=9.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 51.0]), label=9.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 53.0]), label=1.0, probability=DenseVector([0.0497, 0.1444, 0.1455, 0.1894, 0.0136, 0.0155, 0.0368, 0.0945, 0.1468, 0.0543, 0.0076, 0.0492, 0.0506, 0.002]))
Row(prediction=6.0, features=DenseVector([26.0, 43.0, 31.0]), label=6.0, probability=DenseVector([0.0972, 0.0548, 0.0094, 0.0111, 0.0519, 0.0115, 0.5536, 0.0097, 0.0129, 0.0688, 0.097, 0.0018, 0.0202, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 43.0, 34.0]), label=6.0, probability=DenseVector([0.0972, 0.0548, 0.0094, 0.0111, 0.0519, 0.0115, 0.5536, 0.0097, 0.0129, 0.0688, 0.097, 0.0018, 0.0202, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 43.0, 34.0]), label=6.0, probability=DenseVector([0.0972, 0.0548, 0.0094, 0.0111, 0.0519, 0.0115, 0.5536, 0.0097, 0.0129, 0.0688, 0.097, 0.0018, 0.0202, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.0972, 0.0548, 0.0094, 0.0111, 0.0519, 0.0115, 0.5536, 0.0097, 0.0129, 0.0688, 0.097, 0.0018, 0.0202, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 43.0, 39.0]), label=9.0, probability=DenseVector([0.0968, 0.0582, 0.0165, 0.016, 0.0538, 0.0116, 0.5268, 0.0107, 0.0167, 0.0762, 0.0904, 0.0026, 0.0229, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 43.0, 41.0]), label=6.0, probability=DenseVector([0.0916, 0.0826, 0.0397, 0.0338, 0.0572, 0.0169, 0.4415, 0.0218, 0.027, 0.0707, 0.0825, 0.0057, 0.027, 0.0018]))
Row(prediction=2.0, features=DenseVector([26.0, 43.0, 47.0]), label=6.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 43.0, 48.0]), label=11.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([26.0, 43.0, 48.0]), label=1.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 50.0]), label=11.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 50.0]), label=6.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 50.0]), label=6.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 50.0]), label=6.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([26.0, 44.0, 27.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 44.0, 33.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 44.0, 35.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 44.0, 40.0]), label=6.0, probability=DenseVector([0.1023, 0.0602, 0.0221, 0.0156, 0.0518, 0.0073, 0.5347, 0.0124, 0.0194, 0.0771, 0.0698, 0.0031, 0.0235, 0.0006]))
Row(prediction=6.0, features=DenseVector([26.0, 44.0, 41.0]), label=6.0, probability=DenseVector([0.0979, 0.0826, 0.0437, 0.0328, 0.0542, 0.0127, 0.4549, 0.0232, 0.0285, 0.0692, 0.0654, 0.006, 0.0268, 0.002]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 44.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 45.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 48.0]), label=11.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 48.0]), label=9.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 48.0]), label=6.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 48.0]), label=6.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 49.0]), label=6.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 49.0]), label=6.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 49.0]), label=6.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 51.0]), label=11.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 52.0]), label=6.0, probability=DenseVector([0.0486, 0.1412, 0.1518, 0.1932, 0.0138, 0.0155, 0.0396, 0.0947, 0.1484, 0.0525, 0.0074, 0.0476, 0.0434, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 53.0]), label=11.0, probability=DenseVector([0.0494, 0.1446, 0.1505, 0.187, 0.0144, 0.0155, 0.0399, 0.0939, 0.1466, 0.0549, 0.0078, 0.0489, 0.0446, 0.002]))
Row(prediction=6.0, features=DenseVector([26.0, 45.0, 34.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 45.0, 37.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 45.0, 38.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.0975, 0.0809, 0.0539, 0.0251, 0.0542, 0.0074, 0.4592, 0.0235, 0.0295, 0.0699, 0.0651, 0.0062, 0.0254, 0.0023]))
Row(prediction=6.0, features=DenseVector([26.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.0975, 0.0809, 0.0539, 0.0251, 0.0542, 0.0074, 0.4592, 0.0235, 0.0295, 0.0699, 0.0651, 0.0062, 0.0254, 0.0023]))
Row(prediction=6.0, features=DenseVector([26.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.0975, 0.0809, 0.0539, 0.0251, 0.0542, 0.0074, 0.4592, 0.0235, 0.0295, 0.0699, 0.0651, 0.0062, 0.0254, 0.0023]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 44.0]), label=0.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 49.0]), label=6.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 51.0]), label=0.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=3.0, features=DenseVector([26.0, 45.0, 52.0]), label=9.0, probability=DenseVector([0.0464, 0.1377, 0.1717, 0.1837, 0.0141, 0.0107, 0.0432, 0.0913, 0.1466, 0.0542, 0.0076, 0.0467, 0.0411, 0.0048]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 30.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 31.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 32.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 33.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 34.0]), label=0.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 36.0]), label=6.0, probability=DenseVector([0.1118, 0.0541, 0.0164, 0.0139, 0.0487, 0.0072, 0.5563, 0.0112, 0.021, 0.0632, 0.0726, 0.0028, 0.0207, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 38.0]), label=6.0, probability=DenseVector([0.1085, 0.0563, 0.0174, 0.0152, 0.0494, 0.0072, 0.548, 0.012, 0.02, 0.067, 0.0737, 0.0034, 0.0217, 0.0003]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 39.0]), label=6.0, probability=DenseVector([0.1071, 0.0602, 0.0225, 0.0185, 0.051, 0.0072, 0.5336, 0.0131, 0.0215, 0.0712, 0.0663, 0.004, 0.0232, 0.0006]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 42.0]), label=0.0, probability=DenseVector([0.0812, 0.111, 0.1574, 0.065, 0.0458, 0.0009, 0.2441, 0.0594, 0.0796, 0.0649, 0.0338, 0.0191, 0.0317, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 44.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 45.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 46.0]), label=11.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 46.0]), label=9.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 46.0]), label=9.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 48.0]), label=6.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 50.0]), label=6.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 50.0]), label=6.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 29.0]), label=6.0, probability=DenseVector([0.1026, 0.061, 0.0137, 0.0107, 0.0419, 0.0001, 0.6268, 0.0128, 0.0195, 0.0451, 0.0471, 0.0025, 0.0158, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 34.0]), label=6.0, probability=DenseVector([0.1088, 0.0524, 0.0146, 0.0137, 0.045, 0.0072, 0.5986, 0.0134, 0.0202, 0.0535, 0.0523, 0.0027, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 34.0]), label=6.0, probability=DenseVector([0.1088, 0.0524, 0.0146, 0.0137, 0.045, 0.0072, 0.5986, 0.0134, 0.0202, 0.0535, 0.0523, 0.0027, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.1095, 0.0528, 0.0208, 0.0195, 0.0455, 0.0072, 0.5613, 0.0127, 0.0277, 0.0636, 0.0543, 0.004, 0.0208, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.1056, 0.0566, 0.0259, 0.0239, 0.0476, 0.0072, 0.5405, 0.0142, 0.028, 0.0694, 0.0529, 0.0051, 0.0226, 0.0007]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 40.0]), label=6.0, probability=DenseVector([0.104, 0.0594, 0.0331, 0.0258, 0.0493, 0.0072, 0.5242, 0.0155, 0.0316, 0.0714, 0.0497, 0.0052, 0.0227, 0.0008]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0879, 0.0683, 0.0756, 0.035, 0.0495, 0.0073, 0.4707, 0.0251, 0.0427, 0.0636, 0.0417, 0.0075, 0.0226, 0.0024]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 41.0]), label=0.0, probability=DenseVector([0.0879, 0.0683, 0.0756, 0.035, 0.0495, 0.0073, 0.4707, 0.0251, 0.0427, 0.0636, 0.0417, 0.0075, 0.0226, 0.0024]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 41.0]), label=9.0, probability=DenseVector([0.0879, 0.0683, 0.0756, 0.035, 0.0495, 0.0073, 0.4707, 0.0251, 0.0427, 0.0636, 0.0417, 0.0075, 0.0226, 0.0024]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 41.0]), label=9.0, probability=DenseVector([0.0879, 0.0683, 0.0756, 0.035, 0.0495, 0.0073, 0.4707, 0.0251, 0.0427, 0.0636, 0.0417, 0.0075, 0.0226, 0.0024]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 41.0]), label=0.0, probability=DenseVector([0.0879, 0.0683, 0.0756, 0.035, 0.0495, 0.0073, 0.4707, 0.0251, 0.0427, 0.0636, 0.0417, 0.0075, 0.0226, 0.0024]))
Row(prediction=6.0, features=DenseVector([26.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 46.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 49.0]), label=6.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 54.0]), label=11.0, probability=DenseVector([0.0336, 0.1334, 0.1972, 0.1525, 0.0185, 0.0093, 0.055, 0.0775, 0.1344, 0.0894, 0.0098, 0.0402, 0.0398, 0.0091]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 63.0]), label=9.0, probability=DenseVector([0.0305, 0.1338, 0.1812, 0.1219, 0.0309, 0.0048, 0.052, 0.0681, 0.1303, 0.1366, 0.0144, 0.037, 0.05, 0.0083]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 21.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 25.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 37.0]), label=0.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.0893, 0.0485, 0.0419, 0.0349, 0.0386, 0.0001, 0.5754, 0.0216, 0.0441, 0.0522, 0.0271, 0.0076, 0.0178, 0.0008]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=6.0, features=DenseVector([26.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 49.0]), label=6.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 50.0]), label=6.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 28.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 37.0]), label=11.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 42.0]), label=0.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 45.0]), label=0.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 46.0]), label=0.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 47.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 48.0]), label=9.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 48.0]), label=6.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 50.0]), label=6.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 63.0]), label=9.0, probability=DenseVector([0.0305, 0.1338, 0.1812, 0.1219, 0.0309, 0.0048, 0.052, 0.0681, 0.1303, 0.1366, 0.0144, 0.037, 0.05, 0.0083]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 23.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 25.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 28.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 42.0]), label=6.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 50.0, 43.0]), label=6.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 50.0, 44.0]), label=6.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 50.0, 49.0]), label=6.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 27.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 30.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 32.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=2.0, features=DenseVector([26.0, 51.0, 43.0]), label=6.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=2.0, features=DenseVector([26.0, 51.0, 48.0]), label=6.0, probability=DenseVector([0.0405, 0.1077, 0.2282, 0.1209, 0.0281, 0.0016, 0.113, 0.0765, 0.1156, 0.0786, 0.017, 0.0303, 0.0354, 0.0065]))
Row(prediction=2.0, features=DenseVector([26.0, 51.0, 50.0]), label=9.0, probability=DenseVector([0.0405, 0.1077, 0.2282, 0.1209, 0.0281, 0.0016, 0.113, 0.0765, 0.1156, 0.0786, 0.017, 0.0303, 0.0354, 0.0065]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 28.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 40.0]), label=6.0, probability=DenseVector([0.0699, 0.036, 0.0586, 0.0388, 0.0341, 0.0, 0.5724, 0.0277, 0.062, 0.0519, 0.0175, 0.0128, 0.018, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 42.0]), label=6.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 42.0]), label=6.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=2.0, features=DenseVector([26.0, 52.0, 44.0]), label=0.0, probability=DenseVector([0.0446, 0.1026, 0.2576, 0.0869, 0.0297, 0.0009, 0.1414, 0.0733, 0.1099, 0.066, 0.0185, 0.0261, 0.0336, 0.0088]))
Row(prediction=2.0, features=DenseVector([26.0, 52.0, 45.0]), label=0.0, probability=DenseVector([0.0446, 0.1026, 0.2576, 0.0869, 0.0297, 0.0009, 0.1414, 0.0733, 0.1099, 0.066, 0.0185, 0.0261, 0.0336, 0.0088]))
Row(prediction=2.0, features=DenseVector([26.0, 52.0, 45.0]), label=6.0, probability=DenseVector([0.0446, 0.1026, 0.2576, 0.0869, 0.0297, 0.0009, 0.1414, 0.0733, 0.1099, 0.066, 0.0185, 0.0261, 0.0336, 0.0088]))
Row(prediction=2.0, features=DenseVector([26.0, 52.0, 47.0]), label=6.0, probability=DenseVector([0.0446, 0.1026, 0.2576, 0.0869, 0.0297, 0.0009, 0.1414, 0.0733, 0.1099, 0.066, 0.0185, 0.0261, 0.0336, 0.0088]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 43.0]), label=6.0, probability=DenseVector([0.0578, 0.0996, 0.2033, 0.0753, 0.0422, 0.0007, 0.2231, 0.0623, 0.0896, 0.0639, 0.0222, 0.0205, 0.0318, 0.0077]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 26.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 31.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 40.0]), label=11.0, probability=DenseVector([0.0693, 0.039, 0.0511, 0.0393, 0.0352, 0.0, 0.5865, 0.0235, 0.0524, 0.0565, 0.0158, 0.012, 0.018, 0.0015]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 40.0]), label=6.0, probability=DenseVector([0.0693, 0.039, 0.0511, 0.0393, 0.0352, 0.0, 0.5865, 0.0235, 0.0524, 0.0565, 0.0158, 0.012, 0.018, 0.0015]))
Row(prediction=6.0, features=DenseVector([26.0, 54.0, 41.0]), label=6.0, probability=DenseVector([0.0642, 0.0537, 0.089, 0.0435, 0.0412, 0.0001, 0.5094, 0.0307, 0.0568, 0.058, 0.017, 0.0133, 0.0199, 0.0031]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 55.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 56.0, 28.0]), label=6.0, probability=DenseVector([0.0606, 0.0306, 0.0126, 0.0212, 0.021, 0.0, 0.7614, 0.0143, 0.0276, 0.0288, 0.0058, 0.0046, 0.0115, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 56.0, 30.0]), label=6.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 56.0, 31.0]), label=6.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 56.0, 32.0]), label=0.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 56.0, 34.0]), label=6.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 56.0, 35.0]), label=6.0, probability=DenseVector([0.065, 0.0318, 0.0207, 0.0282, 0.0223, 0.0, 0.7145, 0.015, 0.0365, 0.0374, 0.008, 0.0058, 0.0147, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 56.0, 40.0]), label=6.0, probability=DenseVector([0.0666, 0.0387, 0.0425, 0.0345, 0.0323, 0.0, 0.6251, 0.021, 0.0444, 0.0526, 0.0146, 0.0091, 0.0172, 0.0015]))
Row(prediction=6.0, features=DenseVector([26.0, 57.0, 31.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 57.0, 32.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 57.0, 37.0]), label=9.0, probability=DenseVector([0.0557, 0.0282, 0.0232, 0.0271, 0.0201, 0.0, 0.7273, 0.0128, 0.0353, 0.0421, 0.0095, 0.0056, 0.013, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 57.0, 41.0]), label=6.0, probability=DenseVector([0.0617, 0.0517, 0.0825, 0.0452, 0.0398, 0.0001, 0.5343, 0.0267, 0.0512, 0.0598, 0.014, 0.0108, 0.0192, 0.0031]))
Row(prediction=6.0, features=DenseVector([26.0, 57.0, 42.0]), label=0.0, probability=DenseVector([0.0575, 0.0952, 0.1737, 0.0702, 0.0423, 0.0007, 0.2819, 0.0578, 0.0835, 0.0634, 0.0174, 0.0193, 0.0306, 0.0067]))
Row(prediction=6.0, features=DenseVector([26.0, 58.0, 29.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 58.0, 31.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=2.0, features=DenseVector([26.0, 58.0, 44.0]), label=6.0, probability=DenseVector([0.0464, 0.0971, 0.211, 0.0813, 0.0345, 0.0009, 0.1726, 0.0646, 0.1017, 0.1051, 0.0181, 0.0241, 0.0338, 0.0086]))
Row(prediction=6.0, features=DenseVector([26.0, 59.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 59.0, 29.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 59.0, 31.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 59.0, 42.0]), label=6.0, probability=DenseVector([0.0557, 0.0945, 0.1702, 0.0651, 0.0387, 0.0007, 0.3075, 0.0575, 0.0815, 0.0567, 0.0167, 0.0193, 0.0293, 0.0067]))
Row(prediction=6.0, features=DenseVector([26.0, 61.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 61.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 61.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 61.0, 33.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 62.0, 9.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 62.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 62.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 62.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 62.0, 31.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 62.0, 37.0]), label=6.0, probability=DenseVector([0.0539, 0.0273, 0.0232, 0.0266, 0.02, 0.0, 0.7332, 0.0124, 0.0344, 0.0412, 0.0093, 0.0056, 0.0128, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 62.0, 41.0]), label=6.0, probability=DenseVector([0.0599, 0.0509, 0.079, 0.0401, 0.0362, 0.0001, 0.5599, 0.0263, 0.0493, 0.0531, 0.0133, 0.0108, 0.0179, 0.0031]))
Row(prediction=6.0, features=DenseVector([26.0, 63.0, 9.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 63.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 63.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 63.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=3.0, features=DenseVector([27.0, 16.0, 53.0]), label=12.0, probability=DenseVector([0.0098, 0.1923, 0.03, 0.46, 0.0025, 0.0144, 0.0171, 0.0662, 0.0762, 0.0336, 0.0009, 0.0287, 0.0669, 0.0012]))
Row(prediction=1.0, features=DenseVector([27.0, 17.0, 38.0]), label=5.0, probability=DenseVector([0.0055, 0.2842, 0.0005, 0.1546, 0.0145, 0.2281, 0.1558, 0.0007, 0.0033, 0.1012, 0.0074, 0.0005, 0.0437, 0.0]))
Row(prediction=3.0, features=DenseVector([27.0, 17.0, 45.0]), label=12.0, probability=DenseVector([0.0196, 0.2474, 0.03, 0.3994, 0.008, 0.0398, 0.0577, 0.0395, 0.0422, 0.0231, 0.0028, 0.0145, 0.0733, 0.0026]))
Row(prediction=1.0, features=DenseVector([27.0, 18.0, 38.0]), label=6.0, probability=DenseVector([0.0055, 0.2842, 0.0005, 0.1546, 0.0145, 0.2281, 0.1558, 0.0007, 0.0033, 0.1012, 0.0074, 0.0005, 0.0437, 0.0]))
Row(prediction=5.0, features=DenseVector([27.0, 18.0, 39.0]), label=6.0, probability=DenseVector([0.0056, 0.1425, 0.001, 0.1305, 0.0078, 0.4677, 0.1366, 0.0008, 0.0023, 0.0517, 0.0076, 0.0176, 0.0283, 0.0]))
Row(prediction=3.0, features=DenseVector([27.0, 18.0, 46.0]), label=9.0, probability=DenseVector([0.0189, 0.2395, 0.0305, 0.4152, 0.0069, 0.0391, 0.0473, 0.0413, 0.0444, 0.0237, 0.0027, 0.0152, 0.0725, 0.0027]))
Row(prediction=5.0, features=DenseVector([27.0, 19.0, 41.0]), label=6.0, probability=DenseVector([0.0133, 0.1712, 0.0021, 0.1783, 0.0081, 0.3887, 0.1397, 0.0091, 0.0094, 0.0302, 0.0089, 0.0018, 0.0392, 0.0]))
Row(prediction=3.0, features=DenseVector([27.0, 20.0, 47.0]), label=12.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=6.0, features=DenseVector([27.0, 22.0, 33.0]), label=6.0, probability=DenseVector([0.0456, 0.1677, 0.0064, 0.0461, 0.0329, 0.0289, 0.4865, 0.0059, 0.0083, 0.0884, 0.0526, 0.0012, 0.0293, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 22.0, 36.0]), label=6.0, probability=DenseVector([0.0467, 0.1673, 0.0084, 0.0477, 0.0333, 0.0289, 0.474, 0.0059, 0.0105, 0.0916, 0.0534, 0.0015, 0.0306, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 43.0]), label=6.0, probability=DenseVector([0.0285, 0.2437, 0.0312, 0.2953, 0.0156, 0.0449, 0.1139, 0.0464, 0.0491, 0.0291, 0.0081, 0.0137, 0.078, 0.0025]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([27.0, 24.0, 35.0]), label=6.0, probability=DenseVector([0.0467, 0.1673, 0.0084, 0.0477, 0.0333, 0.0289, 0.474, 0.0059, 0.0105, 0.0916, 0.0534, 0.0015, 0.0306, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 24.0, 37.0]), label=6.0, probability=DenseVector([0.0467, 0.1673, 0.0084, 0.0477, 0.0333, 0.0289, 0.474, 0.0059, 0.0105, 0.0916, 0.0534, 0.0015, 0.0306, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 25.0, 40.0]), label=6.0, probability=DenseVector([0.0587, 0.0695, 0.0155, 0.0297, 0.0396, 0.0444, 0.5628, 0.008, 0.0139, 0.0679, 0.0605, 0.0022, 0.0267, 0.0004]))
Row(prediction=3.0, features=DenseVector([27.0, 25.0, 51.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([27.0, 26.0, 40.0]), label=6.0, probability=DenseVector([0.0587, 0.0695, 0.0155, 0.0297, 0.0396, 0.0444, 0.5628, 0.008, 0.0139, 0.0679, 0.0605, 0.0022, 0.0267, 0.0004]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 51.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 54.0]), label=12.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 27.0, 44.0]), label=6.0, probability=DenseVector([0.0311, 0.2383, 0.0583, 0.3023, 0.0148, 0.018, 0.076, 0.0565, 0.0636, 0.0323, 0.0064, 0.0178, 0.0805, 0.004]))
Row(prediction=3.0, features=DenseVector([27.0, 27.0, 53.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([27.0, 28.0, 33.0]), label=6.0, probability=DenseVector([0.0613, 0.0532, 0.0067, 0.0101, 0.0405, 0.0115, 0.6063, 0.008, 0.0087, 0.0959, 0.0734, 0.0033, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 28.0, 36.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 28.0, 39.0]), label=6.0, probability=DenseVector([0.06, 0.0642, 0.0138, 0.0243, 0.0406, 0.0156, 0.5903, 0.0082, 0.0129, 0.0766, 0.066, 0.0021, 0.025, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 28.0, 42.0]), label=6.0, probability=DenseVector([0.0464, 0.1986, 0.0452, 0.1881, 0.0313, 0.0232, 0.2122, 0.0454, 0.0499, 0.0505, 0.0271, 0.0125, 0.0669, 0.0028]))
Row(prediction=6.0, features=DenseVector([27.0, 28.0, 42.0]), label=6.0, probability=DenseVector([0.0464, 0.1986, 0.0452, 0.1881, 0.0313, 0.0232, 0.2122, 0.0454, 0.0499, 0.0505, 0.0271, 0.0125, 0.0669, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 28.0, 44.0]), label=6.0, probability=DenseVector([0.0311, 0.2383, 0.0583, 0.3023, 0.0148, 0.018, 0.076, 0.0565, 0.0636, 0.0323, 0.0064, 0.0178, 0.0805, 0.004]))
Row(prediction=3.0, features=DenseVector([27.0, 28.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([27.0, 29.0, 30.0]), label=6.0, probability=DenseVector([0.0613, 0.0532, 0.0067, 0.0101, 0.0405, 0.0115, 0.6063, 0.008, 0.0087, 0.0959, 0.0734, 0.0033, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 29.0, 33.0]), label=6.0, probability=DenseVector([0.0613, 0.0532, 0.0067, 0.0101, 0.0405, 0.0115, 0.6063, 0.008, 0.0087, 0.0959, 0.0734, 0.0033, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 29.0, 38.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 29.0, 38.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 29.0, 40.0]), label=6.0, probability=DenseVector([0.0592, 0.0662, 0.0155, 0.0249, 0.0416, 0.0156, 0.5848, 0.0084, 0.0141, 0.0789, 0.0625, 0.0023, 0.0257, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 29.0, 41.0]), label=12.0, probability=DenseVector([0.0661, 0.1156, 0.0297, 0.0626, 0.0423, 0.0224, 0.4345, 0.0235, 0.0282, 0.0708, 0.0595, 0.0057, 0.0373, 0.0017]))
Row(prediction=6.0, features=DenseVector([27.0, 29.0, 42.0]), label=6.0, probability=DenseVector([0.0464, 0.1986, 0.0452, 0.1881, 0.0313, 0.0232, 0.2122, 0.0454, 0.0499, 0.0505, 0.0271, 0.0125, 0.0669, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 29.0, 43.0]), label=6.0, probability=DenseVector([0.0361, 0.2288, 0.0449, 0.2734, 0.02, 0.024, 0.1228, 0.0525, 0.0575, 0.0341, 0.0109, 0.0156, 0.0768, 0.0027]))
Row(prediction=3.0, features=DenseVector([27.0, 29.0, 43.0]), label=6.0, probability=DenseVector([0.0361, 0.2288, 0.0449, 0.2734, 0.02, 0.024, 0.1228, 0.0525, 0.0575, 0.0341, 0.0109, 0.0156, 0.0768, 0.0027]))
Row(prediction=6.0, features=DenseVector([27.0, 30.0, 36.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 30.0, 36.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 30.0, 38.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 50.0]), label=9.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 51.0]), label=9.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 59.0]), label=12.0, probability=DenseVector([0.0102, 0.2028, 0.0317, 0.3763, 0.0041, 0.0092, 0.017, 0.0693, 0.086, 0.066, 0.0014, 0.036, 0.0889, 0.0011]))
Row(prediction=6.0, features=DenseVector([27.0, 31.0, 38.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 31.0, 38.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 31.0, 38.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 31.0, 44.0]), label=6.0, probability=DenseVector([0.0331, 0.2302, 0.0707, 0.2818, 0.0158, 0.017, 0.0774, 0.061, 0.0702, 0.0343, 0.0069, 0.019, 0.0782, 0.0043]))
Row(prediction=3.0, features=DenseVector([27.0, 31.0, 52.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([27.0, 32.0, 29.0]), label=6.0, probability=DenseVector([0.065, 0.0604, 0.0065, 0.0072, 0.0396, 0.0044, 0.64, 0.0077, 0.0101, 0.0629, 0.0744, 0.0013, 0.0204, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 32.0, 35.0]), label=6.0, probability=DenseVector([0.0806, 0.0503, 0.0099, 0.0123, 0.0505, 0.0115, 0.5563, 0.0091, 0.0128, 0.0809, 0.1021, 0.0019, 0.0217, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 32.0, 35.0]), label=6.0, probability=DenseVector([0.0806, 0.0503, 0.0099, 0.0123, 0.0505, 0.0115, 0.5563, 0.0091, 0.0128, 0.0809, 0.1021, 0.0019, 0.0217, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 32.0, 42.0]), label=6.0, probability=DenseVector([0.0464, 0.1986, 0.0452, 0.1881, 0.0313, 0.0232, 0.2122, 0.0454, 0.0499, 0.0505, 0.0271, 0.0125, 0.0669, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 46.0]), label=9.0, probability=DenseVector([0.0325, 0.2223, 0.0712, 0.2975, 0.0148, 0.0163, 0.067, 0.0627, 0.0724, 0.0349, 0.0068, 0.0198, 0.0774, 0.0044]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 52.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 53.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 53.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 54.0]), label=11.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=6.0, features=DenseVector([27.0, 33.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 33.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 33.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 33.0, 41.0]), label=6.0, probability=DenseVector([0.0735, 0.109, 0.0299, 0.0532, 0.048, 0.0184, 0.4302, 0.0244, 0.0293, 0.0648, 0.0754, 0.0057, 0.0365, 0.0017]))
Row(prediction=1.0, features=DenseVector([27.0, 33.0, 42.0]), label=6.0, probability=DenseVector([0.0514, 0.1992, 0.0454, 0.1882, 0.0355, 0.0232, 0.1972, 0.0461, 0.0504, 0.0421, 0.0399, 0.0124, 0.0662, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 43.0]), label=6.0, probability=DenseVector([0.0381, 0.2207, 0.0573, 0.2528, 0.021, 0.023, 0.1242, 0.057, 0.064, 0.0361, 0.0115, 0.0168, 0.0744, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 51.0]), label=11.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 51.0]), label=9.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 51.0]), label=9.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=9.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=9.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 54.0]), label=11.0, probability=DenseVector([0.0122, 0.196, 0.0385, 0.3998, 0.0039, 0.0112, 0.018, 0.0753, 0.0953, 0.0408, 0.0019, 0.0356, 0.0697, 0.0018]))
Row(prediction=6.0, features=DenseVector([27.0, 34.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 34.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 34.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 34.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 51.0]), label=11.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=6.0, features=DenseVector([27.0, 35.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 35.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 35.0, 40.0]), label=6.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 51.0]), label=11.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=6.0, features=DenseVector([27.0, 36.0, 24.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 36.0, 34.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 36.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 44.0]), label=6.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 51.0]), label=11.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 53.0]), label=11.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=6.0, features=DenseVector([27.0, 37.0, 19.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 37.0, 42.0]), label=0.0, probability=DenseVector([0.0593, 0.1443, 0.0963, 0.1472, 0.0352, 0.0216, 0.1701, 0.0758, 0.0919, 0.0459, 0.0416, 0.0257, 0.0417, 0.0034]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 54.0]), label=11.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=6.0, features=DenseVector([27.0, 38.0, 30.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 38.0, 30.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 38.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 38.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 38.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 38.0, 41.0]), label=6.0, probability=DenseVector([0.0727, 0.0969, 0.0343, 0.0614, 0.0472, 0.0178, 0.4257, 0.0286, 0.0363, 0.0636, 0.0752, 0.008, 0.0303, 0.0017]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 46.0]), label=0.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 54.0]), label=11.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=6.0, features=DenseVector([27.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 39.0, 40.0]), label=6.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 43.0]), label=0.0, probability=DenseVector([0.0491, 0.1573, 0.1225, 0.1826, 0.0215, 0.0249, 0.097, 0.0938, 0.1157, 0.0407, 0.0138, 0.0319, 0.0453, 0.0039]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 47.0]), label=0.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0372, 0.1461, 0.1256, 0.2462, 0.0121, 0.0252, 0.0329, 0.1086, 0.1329, 0.0374, 0.007, 0.0428, 0.0433, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 54.0]), label=11.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 54.0]), label=2.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=6.0, features=DenseVector([27.0, 40.0, 25.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 40.0, 27.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 40.0, 34.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 40.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 40.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 40.0, 40.0]), label=6.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 40.0, 40.0]), label=6.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 40.0, 41.0]), label=6.0, probability=DenseVector([0.0817, 0.106, 0.0353, 0.0333, 0.0525, 0.017, 0.44, 0.0258, 0.0281, 0.0653, 0.0795, 0.0047, 0.0292, 0.0017]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 48.0]), label=11.0, probability=DenseVector([0.0418, 0.1174, 0.1924, 0.2019, 0.0127, 0.0173, 0.0424, 0.0898, 0.1439, 0.0428, 0.0085, 0.0437, 0.0413, 0.004]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 49.0]), label=9.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 50.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 52.0]), label=11.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 55.0]), label=3.0, probability=DenseVector([0.0453, 0.1378, 0.1551, 0.1997, 0.013, 0.0198, 0.0296, 0.0901, 0.1499, 0.0598, 0.0084, 0.0483, 0.0399, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 55.0]), label=9.0, probability=DenseVector([0.0453, 0.1378, 0.1551, 0.1997, 0.013, 0.0198, 0.0296, 0.0901, 0.1499, 0.0598, 0.0084, 0.0483, 0.0399, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 59.0]), label=9.0, probability=DenseVector([0.0438, 0.1382, 0.1458, 0.1844, 0.0164, 0.0142, 0.0308, 0.0838, 0.1528, 0.0818, 0.0118, 0.048, 0.0461, 0.0022]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 62.0]), label=9.0, probability=DenseVector([0.0438, 0.1382, 0.1458, 0.1844, 0.0164, 0.0142, 0.0308, 0.0838, 0.1528, 0.0818, 0.0118, 0.048, 0.0461, 0.0022]))
Row(prediction=6.0, features=DenseVector([27.0, 41.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([27.0, 41.0, 43.0]), label=9.0, probability=DenseVector([0.0592, 0.1353, 0.1824, 0.1322, 0.0267, 0.021, 0.1125, 0.0764, 0.1157, 0.0468, 0.0197, 0.0309, 0.0362, 0.0049]))
Row(prediction=2.0, features=DenseVector([27.0, 41.0, 46.0]), label=6.0, probability=DenseVector([0.0496, 0.1246, 0.2147, 0.1597, 0.0171, 0.0172, 0.0523, 0.0837, 0.1374, 0.046, 0.0115, 0.0388, 0.0411, 0.0064]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 49.0]), label=6.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 50.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 50.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 51.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 51.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 51.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 52.0]), label=11.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 52.0]), label=11.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 52.0]), label=11.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 56.0]), label=9.0, probability=DenseVector([0.0438, 0.1382, 0.1458, 0.1844, 0.0164, 0.0142, 0.0308, 0.0838, 0.1528, 0.0818, 0.0118, 0.048, 0.0461, 0.0022]))
Row(prediction=6.0, features=DenseVector([27.0, 42.0, 22.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 42.0, 23.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 42.0, 24.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 42.0, 29.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 42.0, 33.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 42.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 45.0]), label=0.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 48.0]), label=11.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 48.0]), label=6.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 51.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 51.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([27.0, 42.0, 52.0]), label=11.0, probability=DenseVector([0.0449, 0.1315, 0.17, 0.2179, 0.0107, 0.0173, 0.0314, 0.0911, 0.1463, 0.0451, 0.0075, 0.0494, 0.034, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 42.0, 55.0]), label=11.0, probability=DenseVector([0.0446, 0.1352, 0.1633, 0.1965, 0.0137, 0.0198, 0.0319, 0.0868, 0.149, 0.062, 0.0089, 0.0471, 0.0383, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 42.0, 59.0]), label=9.0, probability=DenseVector([0.043, 0.1356, 0.1539, 0.1812, 0.0171, 0.0142, 0.033, 0.0805, 0.1518, 0.084, 0.0123, 0.0468, 0.0445, 0.0022]))
Row(prediction=6.0, features=DenseVector([27.0, 43.0, 28.0]), label=6.0, probability=DenseVector([0.0869, 0.0646, 0.008, 0.0077, 0.0476, 0.0044, 0.5959, 0.0091, 0.0121, 0.0538, 0.0888, 0.0014, 0.0195, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 43.0, 29.0]), label=6.0, probability=DenseVector([0.0869, 0.0646, 0.008, 0.0077, 0.0476, 0.0044, 0.5959, 0.0091, 0.0121, 0.0538, 0.0888, 0.0014, 0.0195, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 43.0, 31.0]), label=6.0, probability=DenseVector([0.0972, 0.0548, 0.0094, 0.0111, 0.0519, 0.0115, 0.5536, 0.0097, 0.0129, 0.0688, 0.097, 0.0018, 0.0202, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 43.0, 32.0]), label=6.0, probability=DenseVector([0.0972, 0.0548, 0.0094, 0.0111, 0.0519, 0.0115, 0.5536, 0.0097, 0.0129, 0.0688, 0.097, 0.0018, 0.0202, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 43.0, 34.0]), label=6.0, probability=DenseVector([0.0972, 0.0548, 0.0094, 0.0111, 0.0519, 0.0115, 0.5536, 0.0097, 0.0129, 0.0688, 0.097, 0.0018, 0.0202, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 43.0, 38.0]), label=6.0, probability=DenseVector([0.0982, 0.0543, 0.0115, 0.0127, 0.0522, 0.0115, 0.5412, 0.0097, 0.0151, 0.072, 0.0978, 0.002, 0.0215, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 43.0, 39.0]), label=6.0, probability=DenseVector([0.0968, 0.0582, 0.0165, 0.016, 0.0538, 0.0116, 0.5268, 0.0107, 0.0167, 0.0762, 0.0904, 0.0026, 0.0229, 0.0004]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 45.0]), label=3.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 45.0]), label=6.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 45.0]), label=6.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 46.0]), label=6.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 46.0]), label=0.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 48.0]), label=11.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 48.0]), label=6.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 48.0]), label=6.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=6.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 51.0]), label=0.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([27.0, 43.0, 53.0]), label=11.0, probability=DenseVector([0.0457, 0.1348, 0.1687, 0.2116, 0.0113, 0.0173, 0.0318, 0.0903, 0.1445, 0.0475, 0.0078, 0.0507, 0.0353, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 43.0, 53.0]), label=6.0, probability=DenseVector([0.0457, 0.1348, 0.1687, 0.2116, 0.0113, 0.0173, 0.0318, 0.0903, 0.1445, 0.0475, 0.0078, 0.0507, 0.0353, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 43.0, 56.0]), label=6.0, probability=DenseVector([0.043, 0.1356, 0.1539, 0.1812, 0.0171, 0.0142, 0.033, 0.0805, 0.1518, 0.084, 0.0123, 0.0468, 0.0445, 0.0022]))
Row(prediction=6.0, features=DenseVector([27.0, 44.0, 23.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([27.0, 44.0, 30.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([27.0, 44.0, 31.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([27.0, 44.0, 34.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([27.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([27.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 44.0]), label=6.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 46.0]), label=6.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 46.0]), label=9.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 47.0]), label=11.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 48.0]), label=11.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 48.0]), label=0.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 48.0]), label=6.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 48.0]), label=6.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 48.0]), label=6.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=6.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 50.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 51.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([27.0, 44.0, 52.0]), label=9.0, probability=DenseVector([0.0449, 0.1315, 0.17, 0.2179, 0.0107, 0.0173, 0.0314, 0.0911, 0.1463, 0.0451, 0.0075, 0.0494, 0.034, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 44.0, 52.0]), label=11.0, probability=DenseVector([0.0449, 0.1315, 0.17, 0.2179, 0.0107, 0.0173, 0.0314, 0.0911, 0.1463, 0.0451, 0.0075, 0.0494, 0.034, 0.003]))
Row(prediction=6.0, features=DenseVector([27.0, 45.0, 33.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([27.0, 45.0, 35.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([27.0, 45.0, 41.0]), label=0.0, probability=DenseVector([0.0975, 0.0809, 0.0539, 0.0251, 0.0542, 0.0074, 0.4592, 0.0235, 0.0295, 0.0699, 0.0651, 0.0062, 0.0254, 0.0023]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 43.0]), label=6.0, probability=DenseVector([0.0592, 0.1045, 0.2137, 0.1168, 0.0307, 0.0132, 0.1345, 0.0673, 0.1128, 0.0574, 0.0232, 0.0302, 0.0298, 0.0066]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 48.0]), label=6.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 49.0]), label=11.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 49.0]), label=11.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 49.0]), label=6.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 50.0]), label=6.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 51.0]), label=11.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 51.0]), label=11.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 56.0]), label=11.0, probability=DenseVector([0.0408, 0.1321, 0.1738, 0.1717, 0.0173, 0.0093, 0.0367, 0.0771, 0.15, 0.0857, 0.0125, 0.0459, 0.0422, 0.005]))
Row(prediction=6.0, features=DenseVector([27.0, 46.0, 34.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([27.0, 46.0, 36.0]), label=6.0, probability=DenseVector([0.1118, 0.0541, 0.0164, 0.0139, 0.0487, 0.0072, 0.5563, 0.0112, 0.021, 0.0632, 0.0726, 0.0028, 0.0207, 0.0003]))
Row(prediction=6.0, features=DenseVector([27.0, 46.0, 36.0]), label=6.0, probability=DenseVector([0.1118, 0.0541, 0.0164, 0.0139, 0.0487, 0.0072, 0.5563, 0.0112, 0.021, 0.0632, 0.0726, 0.0028, 0.0207, 0.0003]))
Row(prediction=6.0, features=DenseVector([27.0, 46.0, 39.0]), label=6.0, probability=DenseVector([0.1071, 0.0602, 0.0225, 0.0185, 0.051, 0.0072, 0.5336, 0.0131, 0.0215, 0.0712, 0.0663, 0.004, 0.0232, 0.0006]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 43.0]), label=0.0, probability=DenseVector([0.0542, 0.0972, 0.2445, 0.1027, 0.0314, 0.0109, 0.1517, 0.0626, 0.1004, 0.061, 0.0228, 0.0254, 0.0236, 0.0116]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 44.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 44.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 46.0]), label=0.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 47.0]), label=11.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 47.0]), label=11.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 47.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=6.0, features=DenseVector([27.0, 47.0, 23.0]), label=6.0, probability=DenseVector([0.1026, 0.061, 0.0137, 0.0107, 0.0419, 0.0001, 0.6268, 0.0128, 0.0195, 0.0451, 0.0471, 0.0025, 0.0158, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 47.0, 26.0]), label=6.0, probability=DenseVector([0.1026, 0.061, 0.0137, 0.0107, 0.0419, 0.0001, 0.6268, 0.0128, 0.0195, 0.0451, 0.0471, 0.0025, 0.0158, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 47.0, 40.0]), label=6.0, probability=DenseVector([0.104, 0.0594, 0.0331, 0.0258, 0.0493, 0.0072, 0.5242, 0.0155, 0.0316, 0.0714, 0.0497, 0.0052, 0.0227, 0.0008]))
Row(prediction=6.0, features=DenseVector([27.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0879, 0.0683, 0.0756, 0.035, 0.0495, 0.0073, 0.4707, 0.0251, 0.0427, 0.0636, 0.0417, 0.0075, 0.0226, 0.0024]))
Row(prediction=6.0, features=DenseVector([27.0, 47.0, 41.0]), label=0.0, probability=DenseVector([0.0879, 0.0683, 0.0756, 0.035, 0.0495, 0.0073, 0.4707, 0.0251, 0.0427, 0.0636, 0.0417, 0.0075, 0.0226, 0.0024]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 43.0]), label=6.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 45.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 49.0]), label=11.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 49.0]), label=6.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 57.0]), label=9.0, probability=DenseVector([0.0276, 0.1272, 0.1943, 0.1317, 0.0295, 0.0064, 0.0485, 0.0659, 0.1294, 0.1333, 0.0141, 0.0372, 0.0456, 0.0092]))
Row(prediction=6.0, features=DenseVector([27.0, 48.0, 28.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 48.0, 34.0]), label=9.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 48.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([27.0, 48.0, 40.0]), label=9.0, probability=DenseVector([0.0893, 0.0485, 0.0419, 0.0349, 0.0386, 0.0001, 0.5754, 0.0216, 0.0441, 0.0522, 0.0271, 0.0076, 0.0178, 0.0008]))
Row(prediction=6.0, features=DenseVector([27.0, 48.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([27.0, 48.0, 42.0]), label=0.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=6.0, features=DenseVector([27.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 44.0]), label=0.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 46.0]), label=9.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 47.0]), label=0.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 48.0]), label=11.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 48.0]), label=11.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 49.0]), label=6.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 49.0]), label=6.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 62.0]), label=6.0, probability=DenseVector([0.0276, 0.1272, 0.1943, 0.1317, 0.0295, 0.0064, 0.0485, 0.0659, 0.1294, 0.1333, 0.0141, 0.0372, 0.0456, 0.0092]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 27.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 28.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 40.0]), label=0.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 43.0]), label=0.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 46.0]), label=11.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 50.0]), label=6.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 26.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 34.0]), label=0.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 40.0]), label=0.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 43.0]), label=6.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 53.0]), label=11.0, probability=DenseVector([0.0274, 0.1163, 0.2033, 0.1512, 0.0228, 0.0045, 0.0511, 0.0702, 0.121, 0.1442, 0.0093, 0.0354, 0.0341, 0.0093]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 21.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 22.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 25.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 25.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 29.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 40.0]), label=0.0, probability=DenseVector([0.0673, 0.0328, 0.0728, 0.0413, 0.0293, 0.0001, 0.5654, 0.027, 0.0663, 0.0507, 0.0144, 0.0169, 0.0151, 0.0005]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.0673, 0.0328, 0.0728, 0.0413, 0.0293, 0.0001, 0.5654, 0.027, 0.0663, 0.0507, 0.0144, 0.0169, 0.0151, 0.0005]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0406, 0.0775, 0.2836, 0.1085, 0.0303, 0.0104, 0.1779, 0.0546, 0.0869, 0.0642, 0.0162, 0.0214, 0.0182, 0.0098]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0406, 0.0775, 0.2836, 0.1085, 0.0303, 0.0104, 0.1779, 0.0546, 0.0869, 0.0642, 0.0162, 0.0214, 0.0182, 0.0098]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 45.0]), label=0.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 46.0]), label=6.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 46.0]), label=6.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 53.0]), label=9.0, probability=DenseVector([0.0267, 0.1052, 0.208, 0.1411, 0.0281, 0.0032, 0.0774, 0.0612, 0.103, 0.1663, 0.0118, 0.0293, 0.0325, 0.0062]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 56.0]), label=9.0, probability=DenseVector([0.0258, 0.1076, 0.2023, 0.1216, 0.0296, 0.003, 0.0778, 0.0566, 0.1062, 0.1822, 0.0142, 0.0291, 0.038, 0.006]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 26.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 29.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 30.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 39.0]), label=0.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0623, 0.0475, 0.1107, 0.0455, 0.0353, 0.0002, 0.4884, 0.0343, 0.0707, 0.0522, 0.0156, 0.0182, 0.017, 0.0021]))
Row(prediction=2.0, features=DenseVector([27.0, 52.0, 44.0]), label=0.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([27.0, 52.0, 45.0]), label=0.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 27.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 40.0]), label=0.0, probability=DenseVector([0.067, 0.0326, 0.0693, 0.0408, 0.03, 0.0001, 0.5768, 0.0246, 0.0588, 0.0536, 0.0134, 0.0176, 0.0145, 0.0009]))
Row(prediction=2.0, features=DenseVector([27.0, 53.0, 43.0]), label=0.0, probability=DenseVector([0.041, 0.077, 0.2775, 0.1085, 0.0304, 0.0104, 0.1866, 0.0531, 0.0862, 0.063, 0.0159, 0.0219, 0.0179, 0.0107]))
Row(prediction=2.0, features=DenseVector([27.0, 53.0, 46.0]), label=0.0, probability=DenseVector([0.0343, 0.0785, 0.3111, 0.116, 0.0256, 0.0042, 0.1271, 0.0586, 0.1009, 0.0688, 0.0176, 0.0264, 0.0181, 0.013]))
Row(prediction=2.0, features=DenseVector([27.0, 53.0, 48.0]), label=6.0, probability=DenseVector([0.0321, 0.0902, 0.2541, 0.144, 0.0287, 0.0042, 0.0939, 0.0663, 0.1113, 0.0962, 0.0186, 0.0289, 0.0235, 0.0079]))
Row(prediction=2.0, features=DenseVector([27.0, 53.0, 48.0]), label=6.0, probability=DenseVector([0.0321, 0.0902, 0.2541, 0.144, 0.0287, 0.0042, 0.0939, 0.0663, 0.1113, 0.0962, 0.0186, 0.0289, 0.0235, 0.0079]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 23.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 40.0]), label=6.0, probability=DenseVector([0.0667, 0.0358, 0.0653, 0.0418, 0.0305, 0.0001, 0.5794, 0.0228, 0.0566, 0.0553, 0.0127, 0.0161, 0.0152, 0.0017]))
Row(prediction=6.0, features=DenseVector([27.0, 54.0, 40.0]), label=6.0, probability=DenseVector([0.0667, 0.0358, 0.0653, 0.0418, 0.0305, 0.0001, 0.5794, 0.0228, 0.0566, 0.0553, 0.0127, 0.0161, 0.0152, 0.0017]))
Row(prediction=9.0, features=DenseVector([27.0, 54.0, 54.0]), label=9.0, probability=DenseVector([0.0288, 0.1082, 0.1614, 0.1213, 0.0401, 0.0032, 0.0746, 0.0578, 0.1046, 0.2125, 0.0184, 0.0279, 0.0363, 0.0049]))
Row(prediction=6.0, features=DenseVector([27.0, 55.0, 26.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 55.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 55.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 55.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 55.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 55.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 55.0, 41.0]), label=6.0, probability=DenseVector([0.0616, 0.0505, 0.1032, 0.046, 0.0365, 0.0002, 0.5024, 0.0301, 0.0611, 0.0568, 0.0138, 0.0174, 0.017, 0.0033]))
Row(prediction=2.0, features=DenseVector([27.0, 55.0, 46.0]), label=6.0, probability=DenseVector([0.0354, 0.0794, 0.2977, 0.1114, 0.0264, 0.0042, 0.1436, 0.0582, 0.1006, 0.0683, 0.0169, 0.0262, 0.0187, 0.0129]))
Row(prediction=2.0, features=DenseVector([27.0, 55.0, 46.0]), label=6.0, probability=DenseVector([0.0354, 0.0794, 0.2977, 0.1114, 0.0264, 0.0042, 0.1436, 0.0582, 0.1006, 0.0683, 0.0169, 0.0262, 0.0187, 0.0129]))
Row(prediction=6.0, features=DenseVector([27.0, 56.0, 29.0]), label=6.0, probability=DenseVector([0.0606, 0.0306, 0.0126, 0.0212, 0.021, 0.0, 0.7614, 0.0143, 0.0276, 0.0288, 0.0058, 0.0046, 0.0115, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 56.0, 31.0]), label=6.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 57.0, 25.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 57.0, 28.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 57.0, 30.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=2.0, features=DenseVector([27.0, 57.0, 46.0]), label=6.0, probability=DenseVector([0.0356, 0.0754, 0.2637, 0.1053, 0.0329, 0.0041, 0.1625, 0.0542, 0.1018, 0.0905, 0.0172, 0.0254, 0.0189, 0.0123]))
Row(prediction=6.0, features=DenseVector([27.0, 58.0, 20.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 58.0, 25.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 58.0, 27.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=2.0, features=DenseVector([27.0, 58.0, 43.0]), label=6.0, probability=DenseVector([0.0423, 0.0753, 0.2308, 0.0972, 0.0343, 0.0102, 0.2138, 0.0488, 0.0852, 0.096, 0.0151, 0.021, 0.0201, 0.0101]))
Row(prediction=2.0, features=DenseVector([27.0, 58.0, 45.0]), label=6.0, probability=DenseVector([0.0356, 0.0768, 0.2644, 0.1046, 0.0295, 0.0041, 0.1543, 0.0542, 0.1, 0.1018, 0.0167, 0.0254, 0.0203, 0.0123]))
Row(prediction=6.0, features=DenseVector([27.0, 59.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 59.0, 36.0]), label=6.0, probability=DenseVector([0.0524, 0.0273, 0.0201, 0.0258, 0.0191, 0.0, 0.7437, 0.0114, 0.033, 0.0403, 0.0084, 0.0054, 0.0131, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 59.0, 36.0]), label=6.0, probability=DenseVector([0.0524, 0.0273, 0.0201, 0.0258, 0.0191, 0.0, 0.7437, 0.0114, 0.033, 0.0403, 0.0084, 0.0054, 0.0131, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 59.0, 38.0]), label=6.0, probability=DenseVector([0.0539, 0.0273, 0.0232, 0.0266, 0.02, 0.0, 0.7332, 0.0124, 0.0344, 0.0412, 0.0093, 0.0056, 0.0128, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 59.0, 39.0]), label=6.0, probability=DenseVector([0.0539, 0.0273, 0.0232, 0.0266, 0.02, 0.0, 0.7332, 0.0124, 0.0344, 0.0412, 0.0093, 0.0056, 0.0128, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 60.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 60.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=2.0, features=DenseVector([27.0, 60.0, 46.0]), label=6.0, probability=DenseVector([0.0335, 0.0778, 0.2587, 0.1009, 0.0438, 0.0041, 0.1712, 0.0599, 0.1, 0.075, 0.016, 0.0254, 0.0214, 0.0123]))
Row(prediction=6.0, features=DenseVector([27.0, 61.0, 17.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 61.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 61.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 61.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 62.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 62.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 62.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 62.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 62.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 62.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 62.0, 31.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 62.0, 41.0]), label=6.0, probability=DenseVector([0.0578, 0.0497, 0.0918, 0.0431, 0.0341, 0.0002, 0.551, 0.0254, 0.0497, 0.0539, 0.0123, 0.0113, 0.0164, 0.0033]))
Row(prediction=6.0, features=DenseVector([27.0, 63.0, 9.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 63.0, 11.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 63.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 63.0, 33.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=3.0, features=DenseVector([28.0, 0.0, 43.0]), label=9.0, probability=DenseVector([0.0186, 0.2408, 0.0213, 0.3329, 0.009, 0.1079, 0.082, 0.0363, 0.038, 0.0244, 0.0031, 0.0123, 0.0721, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 9.0, 51.0]), label=9.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=5.0, features=DenseVector([28.0, 12.0, 41.0]), label=5.0, probability=DenseVector([0.0133, 0.1712, 0.0021, 0.1783, 0.0081, 0.3887, 0.1397, 0.0091, 0.0094, 0.0302, 0.0089, 0.0018, 0.0392, 0.0]))
Row(prediction=3.0, features=DenseVector([28.0, 12.0, 42.0]), label=5.0, probability=DenseVector([0.0184, 0.2312, 0.0162, 0.2708, 0.0106, 0.1737, 0.1167, 0.0266, 0.0276, 0.025, 0.0081, 0.0083, 0.0657, 0.0011]))
Row(prediction=3.0, features=DenseVector([28.0, 12.0, 53.0]), label=9.0, probability=DenseVector([0.0098, 0.1923, 0.03, 0.46, 0.0025, 0.0144, 0.0171, 0.0662, 0.0762, 0.0336, 0.0009, 0.0287, 0.0669, 0.0012]))
Row(prediction=5.0, features=DenseVector([28.0, 14.0, 41.0]), label=6.0, probability=DenseVector([0.0133, 0.1712, 0.0021, 0.1783, 0.0081, 0.3887, 0.1397, 0.0091, 0.0094, 0.0302, 0.0089, 0.0018, 0.0392, 0.0]))
Row(prediction=5.0, features=DenseVector([28.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0133, 0.1712, 0.0021, 0.1783, 0.0081, 0.3887, 0.1397, 0.0091, 0.0094, 0.0302, 0.0089, 0.0018, 0.0392, 0.0]))
Row(prediction=5.0, features=DenseVector([28.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0133, 0.1712, 0.0021, 0.1783, 0.0081, 0.3887, 0.1397, 0.0091, 0.0094, 0.0302, 0.0089, 0.0018, 0.0392, 0.0]))
Row(prediction=3.0, features=DenseVector([28.0, 15.0, 44.0]), label=9.0, probability=DenseVector([0.0191, 0.247, 0.03, 0.3561, 0.0081, 0.0676, 0.0721, 0.0395, 0.0422, 0.0244, 0.0028, 0.0142, 0.0741, 0.0026]))
Row(prediction=5.0, features=DenseVector([28.0, 16.0, 40.0]), label=5.0, probability=DenseVector([0.0056, 0.1285, 0.001, 0.1296, 0.007, 0.4966, 0.1286, 0.0008, 0.0021, 0.0478, 0.0076, 0.0176, 0.0272, 0.0]))
Row(prediction=5.0, features=DenseVector([28.0, 16.0, 41.0]), label=5.0, probability=DenseVector([0.0133, 0.1712, 0.0021, 0.1783, 0.0081, 0.3887, 0.1397, 0.0091, 0.0094, 0.0302, 0.0089, 0.0018, 0.0392, 0.0]))
Row(prediction=3.0, features=DenseVector([28.0, 16.0, 46.0]), label=12.0, probability=DenseVector([0.0189, 0.2395, 0.0305, 0.4152, 0.0069, 0.0391, 0.0473, 0.0413, 0.0444, 0.0237, 0.0027, 0.0152, 0.0725, 0.0027]))
Row(prediction=3.0, features=DenseVector([28.0, 16.0, 47.0]), label=12.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([28.0, 16.0, 49.0]), label=6.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=5.0, features=DenseVector([28.0, 19.0, 41.0]), label=6.0, probability=DenseVector([0.0133, 0.1712, 0.0021, 0.1783, 0.0081, 0.3887, 0.1397, 0.0091, 0.0094, 0.0302, 0.0089, 0.0018, 0.0392, 0.0]))
Row(prediction=1.0, features=DenseVector([28.0, 20.0, 35.0]), label=6.0, probability=DenseVector([0.0055, 0.3069, 0.0005, 0.1605, 0.0151, 0.1864, 0.1601, 0.0007, 0.003, 0.1055, 0.0074, 0.0005, 0.0479, 0.0]))
Row(prediction=3.0, features=DenseVector([28.0, 20.0, 48.0]), label=12.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([28.0, 21.0, 42.0]), label=6.0, probability=DenseVector([0.0184, 0.2312, 0.0162, 0.2708, 0.0106, 0.1737, 0.1167, 0.0266, 0.0276, 0.025, 0.0081, 0.0083, 0.0657, 0.0011]))
Row(prediction=6.0, features=DenseVector([28.0, 22.0, 41.0]), label=6.0, probability=DenseVector([0.0621, 0.1284, 0.0218, 0.0743, 0.0376, 0.0639, 0.4056, 0.0212, 0.0253, 0.0575, 0.056, 0.0049, 0.04, 0.0015]))
Row(prediction=6.0, features=DenseVector([28.0, 23.0, 35.0]), label=6.0, probability=DenseVector([0.0467, 0.1673, 0.0084, 0.0477, 0.0333, 0.0289, 0.474, 0.0059, 0.0105, 0.0916, 0.0534, 0.0015, 0.0306, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 24.0, 28.0]), label=6.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=3.0, features=DenseVector([28.0, 24.0, 48.0]), label=12.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=6.0, features=DenseVector([28.0, 25.0, 36.0]), label=6.0, probability=DenseVector([0.0467, 0.1673, 0.0084, 0.0477, 0.0333, 0.0289, 0.474, 0.0059, 0.0105, 0.0916, 0.0534, 0.0015, 0.0306, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 25.0, 38.0]), label=6.0, probability=DenseVector([0.0467, 0.1673, 0.0084, 0.0477, 0.0333, 0.0289, 0.474, 0.0059, 0.0105, 0.0916, 0.0534, 0.0015, 0.0306, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 25.0, 39.0]), label=6.0, probability=DenseVector([0.055, 0.0837, 0.0137, 0.0364, 0.0371, 0.0513, 0.5483, 0.0076, 0.0126, 0.0669, 0.0581, 0.002, 0.0268, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 25.0, 41.0]), label=6.0, probability=DenseVector([0.0621, 0.1284, 0.0218, 0.0743, 0.0376, 0.0639, 0.4056, 0.0212, 0.0253, 0.0575, 0.056, 0.0049, 0.04, 0.0015]))
Row(prediction=6.0, features=DenseVector([28.0, 26.0, 40.0]), label=6.0, probability=DenseVector([0.0587, 0.0695, 0.0155, 0.0297, 0.0396, 0.0444, 0.5628, 0.008, 0.0139, 0.0679, 0.0605, 0.0022, 0.0267, 0.0004]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([28.0, 27.0, 35.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 27.0, 41.0]), label=6.0, probability=DenseVector([0.0661, 0.1156, 0.0297, 0.0626, 0.0423, 0.0224, 0.4345, 0.0235, 0.0282, 0.0708, 0.0595, 0.0057, 0.0373, 0.0017]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 44.0]), label=9.0, probability=DenseVector([0.0311, 0.2383, 0.0583, 0.3023, 0.0148, 0.018, 0.076, 0.0565, 0.0636, 0.0323, 0.0064, 0.0178, 0.0805, 0.004]))
Row(prediction=6.0, features=DenseVector([28.0, 28.0, 33.0]), label=6.0, probability=DenseVector([0.0613, 0.0532, 0.0067, 0.0101, 0.0405, 0.0115, 0.6063, 0.008, 0.0087, 0.0959, 0.0734, 0.0033, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([28.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([28.0, 29.0, 24.0]), label=6.0, probability=DenseVector([0.0593, 0.114, 0.0064, 0.0074, 0.0393, 0.0044, 0.5657, 0.0096, 0.0081, 0.0919, 0.0701, 0.0034, 0.0203, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 29.0, 33.0]), label=9.0, probability=DenseVector([0.0613, 0.0532, 0.0067, 0.0101, 0.0405, 0.0115, 0.6063, 0.008, 0.0087, 0.0959, 0.0734, 0.0033, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 29.0, 37.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 29.0, 37.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 29.0, 38.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=3.0, features=DenseVector([28.0, 29.0, 52.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([28.0, 30.0, 40.0]), label=6.0, probability=DenseVector([0.0592, 0.0662, 0.0155, 0.0249, 0.0416, 0.0156, 0.5848, 0.0084, 0.0141, 0.0789, 0.0625, 0.0023, 0.0257, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 30.0, 41.0]), label=6.0, probability=DenseVector([0.0661, 0.1156, 0.0297, 0.0626, 0.0423, 0.0224, 0.4345, 0.0235, 0.0282, 0.0708, 0.0595, 0.0057, 0.0373, 0.0017]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 43.0]), label=9.0, probability=DenseVector([0.0381, 0.2207, 0.0573, 0.2528, 0.021, 0.023, 0.1242, 0.057, 0.064, 0.0361, 0.0115, 0.0168, 0.0744, 0.003]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 44.0]), label=6.0, probability=DenseVector([0.0331, 0.2302, 0.0707, 0.2818, 0.0158, 0.017, 0.0774, 0.061, 0.0702, 0.0343, 0.0069, 0.019, 0.0782, 0.0043]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 53.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 49.0]), label=11.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 51.0]), label=9.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 53.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 53.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 46.0]), label=12.0, probability=DenseVector([0.0325, 0.2223, 0.0712, 0.2975, 0.0148, 0.0163, 0.067, 0.0627, 0.0724, 0.0349, 0.0068, 0.0198, 0.0774, 0.0044]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=11.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 56.0]), label=11.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=6.0, features=DenseVector([28.0, 33.0, 22.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 33.0, 27.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 48.0]), label=0.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 51.0]), label=9.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=9.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 55.0]), label=0.0, probability=DenseVector([0.0116, 0.202, 0.0343, 0.39, 0.0041, 0.0104, 0.019, 0.0743, 0.0967, 0.0454, 0.0018, 0.0358, 0.0732, 0.0013]))
Row(prediction=6.0, features=DenseVector([28.0, 34.0, 27.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 34.0, 29.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 34.0, 34.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 34.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=6.0, features=DenseVector([28.0, 35.0, 28.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 35.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 43.0]), label=9.0, probability=DenseVector([0.0491, 0.1573, 0.1225, 0.1826, 0.0215, 0.0249, 0.097, 0.0938, 0.1157, 0.0407, 0.0138, 0.0319, 0.0453, 0.0039]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=6.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=6.0, features=DenseVector([28.0, 36.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 36.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 36.0, 34.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 36.0, 40.0]), label=6.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 45.0]), label=0.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 51.0]), label=9.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 53.0]), label=11.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 55.0]), label=9.0, probability=DenseVector([0.0319, 0.1741, 0.1088, 0.2077, 0.0095, 0.0239, 0.023, 0.1131, 0.1528, 0.0521, 0.0053, 0.0498, 0.0463, 0.0017]))
Row(prediction=6.0, features=DenseVector([28.0, 37.0, 27.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 37.0, 30.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 37.0, 31.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 37.0, 34.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 37.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 45.0]), label=6.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 45.0]), label=9.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 50.0]), label=0.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=6.0, features=DenseVector([28.0, 38.0, 26.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 38.0, 31.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 38.0, 42.0]), label=6.0, probability=DenseVector([0.0593, 0.1443, 0.0963, 0.1472, 0.0352, 0.0216, 0.1701, 0.0758, 0.0919, 0.0459, 0.0416, 0.0257, 0.0417, 0.0034]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 43.0]), label=6.0, probability=DenseVector([0.0491, 0.1573, 0.1225, 0.1826, 0.0215, 0.0249, 0.097, 0.0938, 0.1157, 0.0407, 0.0138, 0.0319, 0.0453, 0.0039]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 45.0]), label=6.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 53.0]), label=11.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 55.0]), label=6.0, probability=DenseVector([0.0319, 0.1741, 0.1088, 0.2077, 0.0095, 0.0239, 0.023, 0.1131, 0.1528, 0.0521, 0.0053, 0.0498, 0.0463, 0.0017]))
Row(prediction=6.0, features=DenseVector([28.0, 39.0, 26.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 39.0, 27.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 39.0, 34.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 39.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 39.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 45.0]), label=9.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 49.0]), label=11.0, probability=DenseVector([0.0372, 0.1461, 0.1256, 0.2462, 0.0121, 0.0252, 0.0329, 0.1086, 0.1329, 0.0374, 0.007, 0.0428, 0.0433, 0.0028]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=11.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=0.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 53.0]), label=11.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 53.0]), label=11.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=6.0, features=DenseVector([28.0, 40.0, 34.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 40.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0418, 0.1174, 0.1924, 0.2019, 0.0127, 0.0173, 0.0424, 0.0898, 0.1439, 0.0428, 0.0085, 0.0437, 0.0413, 0.004]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 48.0]), label=9.0, probability=DenseVector([0.0418, 0.1174, 0.1924, 0.2019, 0.0127, 0.0173, 0.0424, 0.0898, 0.1439, 0.0428, 0.0085, 0.0437, 0.0413, 0.004]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 49.0]), label=6.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=9.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=6.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=1.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 52.0]), label=11.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 53.0]), label=13.0, probability=DenseVector([0.0464, 0.1374, 0.1605, 0.2148, 0.0106, 0.0173, 0.0295, 0.0936, 0.1454, 0.0453, 0.0074, 0.0519, 0.0369, 0.003]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 53.0]), label=9.0, probability=DenseVector([0.0464, 0.1374, 0.1605, 0.2148, 0.0106, 0.0173, 0.0295, 0.0936, 0.1454, 0.0453, 0.0074, 0.0519, 0.0369, 0.003]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 56.0]), label=9.0, probability=DenseVector([0.0438, 0.1382, 0.1458, 0.1844, 0.0164, 0.0142, 0.0308, 0.0838, 0.1528, 0.0818, 0.0118, 0.048, 0.0461, 0.0022]))
Row(prediction=6.0, features=DenseVector([28.0, 41.0, 28.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=2.0, features=DenseVector([28.0, 41.0, 44.0]), label=0.0, probability=DenseVector([0.0496, 0.1246, 0.2147, 0.1597, 0.0171, 0.0172, 0.0523, 0.0837, 0.1374, 0.046, 0.0115, 0.0388, 0.0411, 0.0064]))
Row(prediction=2.0, features=DenseVector([28.0, 41.0, 47.0]), label=0.0, probability=DenseVector([0.0496, 0.1246, 0.2147, 0.1597, 0.0171, 0.0172, 0.0523, 0.0837, 0.1374, 0.046, 0.0115, 0.0388, 0.0411, 0.0064]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 50.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 50.0]), label=11.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=6.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 54.0]), label=2.0, probability=DenseVector([0.0467, 0.1419, 0.1585, 0.2017, 0.0112, 0.0173, 0.0293, 0.0928, 0.1471, 0.051, 0.0078, 0.0526, 0.0393, 0.0029]))
Row(prediction=6.0, features=DenseVector([28.0, 42.0, 30.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 42.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 42.0, 40.0]), label=6.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 42.0, 41.0]), label=9.0, probability=DenseVector([0.0835, 0.0988, 0.0359, 0.0306, 0.0544, 0.0168, 0.4438, 0.0257, 0.0274, 0.0673, 0.0827, 0.0047, 0.0269, 0.0017]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 45.0]), label=3.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 48.0]), label=9.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 50.0]), label=6.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([28.0, 42.0, 53.0]), label=11.0, probability=DenseVector([0.0457, 0.1348, 0.1687, 0.2116, 0.0113, 0.0173, 0.0318, 0.0903, 0.1445, 0.0475, 0.0078, 0.0507, 0.0353, 0.003]))
Row(prediction=6.0, features=DenseVector([28.0, 43.0, 36.0]), label=6.0, probability=DenseVector([0.0982, 0.0543, 0.0115, 0.0127, 0.0522, 0.0115, 0.5412, 0.0097, 0.0151, 0.072, 0.0978, 0.002, 0.0215, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 43.0, 37.0]), label=6.0, probability=DenseVector([0.0982, 0.0543, 0.0115, 0.0127, 0.0522, 0.0115, 0.5412, 0.0097, 0.0151, 0.072, 0.0978, 0.002, 0.0215, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 43.0, 38.0]), label=6.0, probability=DenseVector([0.0982, 0.0543, 0.0115, 0.0127, 0.0522, 0.0115, 0.5412, 0.0097, 0.0151, 0.072, 0.0978, 0.002, 0.0215, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 43.0, 38.0]), label=6.0, probability=DenseVector([0.0982, 0.0543, 0.0115, 0.0127, 0.0522, 0.0115, 0.5412, 0.0097, 0.0151, 0.072, 0.0978, 0.002, 0.0215, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 43.0, 39.0]), label=6.0, probability=DenseVector([0.0968, 0.0582, 0.0165, 0.016, 0.0538, 0.0116, 0.5268, 0.0107, 0.0167, 0.0762, 0.0904, 0.0026, 0.0229, 0.0004]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.0607, 0.1077, 0.194, 0.1292, 0.0306, 0.0209, 0.1281, 0.0687, 0.1128, 0.0559, 0.0235, 0.0306, 0.0323, 0.0051]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 48.0]), label=9.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 48.0]), label=11.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([28.0, 43.0, 52.0]), label=11.0, probability=DenseVector([0.0449, 0.1315, 0.17, 0.2179, 0.0107, 0.0173, 0.0314, 0.0911, 0.1463, 0.0451, 0.0075, 0.0494, 0.034, 0.003]))
Row(prediction=6.0, features=DenseVector([28.0, 44.0, 21.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 44.0, 24.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 44.0, 29.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 44.0, 38.0]), label=9.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 44.0, 41.0]), label=6.0, probability=DenseVector([0.0979, 0.0826, 0.0437, 0.0328, 0.0542, 0.0127, 0.4549, 0.0232, 0.0285, 0.0692, 0.0654, 0.006, 0.0268, 0.002]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 46.0]), label=9.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 46.0]), label=0.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 47.0]), label=11.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 47.0]), label=0.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 47.0]), label=6.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=11.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([28.0, 44.0, 52.0]), label=11.0, probability=DenseVector([0.0449, 0.1315, 0.17, 0.2179, 0.0107, 0.0173, 0.0314, 0.0911, 0.1463, 0.0451, 0.0075, 0.0494, 0.034, 0.003]))
Row(prediction=3.0, features=DenseVector([28.0, 44.0, 57.0]), label=9.0, probability=DenseVector([0.043, 0.1356, 0.1539, 0.1812, 0.0171, 0.0142, 0.033, 0.0805, 0.1518, 0.084, 0.0123, 0.0468, 0.0445, 0.0022]))
Row(prediction=6.0, features=DenseVector([28.0, 45.0, 28.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 45.0, 36.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.0975, 0.0809, 0.0539, 0.0251, 0.0542, 0.0074, 0.4592, 0.0235, 0.0295, 0.0699, 0.0651, 0.0062, 0.0254, 0.0023]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 45.0]), label=11.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 46.0]), label=11.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 47.0]), label=0.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=6.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=11.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=11.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=11.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=6.0, features=DenseVector([28.0, 46.0, 25.0]), label=6.0, probability=DenseVector([0.1034, 0.0635, 0.0119, 0.007, 0.0448, 0.0001, 0.609, 0.0109, 0.0155, 0.0486, 0.0659, 0.0018, 0.0171, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 46.0, 27.0]), label=6.0, probability=DenseVector([0.1034, 0.0635, 0.0119, 0.007, 0.0448, 0.0001, 0.609, 0.0109, 0.0155, 0.0486, 0.0659, 0.0018, 0.0171, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 46.0, 30.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 46.0, 33.0]), label=11.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([28.0, 46.0, 39.0]), label=0.0, probability=DenseVector([0.1071, 0.0602, 0.0225, 0.0185, 0.051, 0.0072, 0.5336, 0.0131, 0.0215, 0.0712, 0.0663, 0.004, 0.0232, 0.0006]))
Row(prediction=6.0, features=DenseVector([28.0, 46.0, 42.0]), label=6.0, probability=DenseVector([0.071, 0.0912, 0.1925, 0.0852, 0.0414, 0.0103, 0.2314, 0.0519, 0.0798, 0.0619, 0.0329, 0.0204, 0.0219, 0.0084]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 43.0]), label=6.0, probability=DenseVector([0.0542, 0.0972, 0.2445, 0.1027, 0.0314, 0.0109, 0.1517, 0.0626, 0.1004, 0.061, 0.0228, 0.0254, 0.0236, 0.0116]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 44.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 46.0]), label=9.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 47.0]), label=11.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=6.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 49.0]), label=11.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 49.0]), label=9.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 49.0]), label=6.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=6.0, features=DenseVector([28.0, 47.0, 38.0]), label=6.0, probability=DenseVector([0.1063, 0.0549, 0.0219, 0.0207, 0.0462, 0.0072, 0.553, 0.0135, 0.0267, 0.0674, 0.0555, 0.0046, 0.0218, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0879, 0.0683, 0.0756, 0.035, 0.0495, 0.0073, 0.4707, 0.0251, 0.0427, 0.0636, 0.0417, 0.0075, 0.0226, 0.0024]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 45.0]), label=9.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 45.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 46.0]), label=11.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 46.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 47.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 47.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 50.0]), label=11.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 51.0]), label=2.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 37.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 40.0]), label=6.0, probability=DenseVector([0.0893, 0.0485, 0.0419, 0.0349, 0.0386, 0.0001, 0.5754, 0.0216, 0.0441, 0.0522, 0.0271, 0.0076, 0.0178, 0.0008]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 44.0]), label=0.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 46.0]), label=9.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 48.0]), label=6.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=6.0, features=DenseVector([28.0, 49.0, 28.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 45.0]), label=11.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 46.0]), label=11.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 46.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 48.0]), label=9.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 52.0]), label=6.0, probability=DenseVector([0.0297, 0.1189, 0.2137, 0.1817, 0.0158, 0.0109, 0.0514, 0.0769, 0.1336, 0.078, 0.0087, 0.0385, 0.0318, 0.01]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 55.0]), label=6.0, probability=DenseVector([0.0307, 0.1268, 0.2103, 0.1624, 0.0171, 0.0109, 0.0516, 0.0753, 0.1335, 0.0861, 0.0095, 0.0405, 0.0354, 0.01]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 23.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 24.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 27.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 27.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 27.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 42.0]), label=6.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 44.0]), label=6.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 46.0]), label=11.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 63.0]), label=9.0, probability=DenseVector([0.0265, 0.1188, 0.1977, 0.1316, 0.0242, 0.0043, 0.0515, 0.0656, 0.1242, 0.16, 0.0117, 0.0352, 0.0396, 0.0092]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 38.0]), label=0.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.0673, 0.0328, 0.0728, 0.0413, 0.0293, 0.0001, 0.5654, 0.027, 0.0663, 0.0507, 0.0144, 0.0169, 0.0151, 0.0005]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0623, 0.0475, 0.1107, 0.0455, 0.0353, 0.0002, 0.4884, 0.0343, 0.0707, 0.0522, 0.0156, 0.0182, 0.017, 0.0021]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0623, 0.0475, 0.1107, 0.0455, 0.0353, 0.0002, 0.4884, 0.0343, 0.0707, 0.0522, 0.0156, 0.0182, 0.017, 0.0021]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0623, 0.0475, 0.1107, 0.0455, 0.0353, 0.0002, 0.4884, 0.0343, 0.0707, 0.0522, 0.0156, 0.0182, 0.017, 0.0021]))
Row(prediction=2.0, features=DenseVector([28.0, 51.0, 43.0]), label=6.0, probability=DenseVector([0.0383, 0.0777, 0.2906, 0.1121, 0.0281, 0.0104, 0.1724, 0.0541, 0.0868, 0.0638, 0.0158, 0.0214, 0.0177, 0.0108]))
Row(prediction=2.0, features=DenseVector([28.0, 51.0, 55.0]), label=9.0, probability=DenseVector([0.0269, 0.1096, 0.2059, 0.128, 0.0288, 0.0032, 0.0772, 0.0603, 0.1047, 0.172, 0.0123, 0.03, 0.0348, 0.0062]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 20.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 23.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 25.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 26.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([28.0, 52.0, 62.0]), label=9.0, probability=DenseVector([0.0258, 0.1076, 0.2023, 0.1216, 0.0296, 0.003, 0.0778, 0.0566, 0.1062, 0.1822, 0.0142, 0.0291, 0.038, 0.006]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 24.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 25.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 53.0, 41.0]), label=6.0, probability=DenseVector([0.062, 0.0473, 0.1072, 0.045, 0.036, 0.0002, 0.4998, 0.0319, 0.0633, 0.0551, 0.0145, 0.0189, 0.0164, 0.0025]))
Row(prediction=6.0, features=DenseVector([28.0, 54.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 54.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 54.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 54.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([28.0, 54.0, 42.0]), label=6.0, probability=DenseVector([0.0444, 0.0777, 0.2571, 0.1004, 0.0333, 0.0103, 0.2085, 0.0533, 0.086, 0.0629, 0.0157, 0.0218, 0.0189, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 54.0, 42.0]), label=6.0, probability=DenseVector([0.0444, 0.0777, 0.2571, 0.1004, 0.0333, 0.0103, 0.2085, 0.0533, 0.086, 0.0629, 0.0157, 0.0218, 0.0189, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 54.0, 43.0]), label=6.0, probability=DenseVector([0.0421, 0.0779, 0.2641, 0.104, 0.0312, 0.0103, 0.203, 0.0528, 0.0859, 0.0625, 0.0153, 0.0218, 0.0185, 0.0107]))
Row(prediction=6.0, features=DenseVector([28.0, 55.0, 19.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 55.0, 29.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 55.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=2.0, features=DenseVector([28.0, 55.0, 43.0]), label=6.0, probability=DenseVector([0.0421, 0.0779, 0.2641, 0.104, 0.0312, 0.0103, 0.203, 0.0528, 0.0859, 0.0625, 0.0153, 0.0218, 0.0185, 0.0107]))
Row(prediction=2.0, features=DenseVector([28.0, 55.0, 44.0]), label=6.0, probability=DenseVector([0.0354, 0.0794, 0.2977, 0.1114, 0.0264, 0.0042, 0.1436, 0.0582, 0.1006, 0.0683, 0.0169, 0.0262, 0.0187, 0.0129]))
Row(prediction=6.0, features=DenseVector([28.0, 56.0, 21.0]), label=6.0, probability=DenseVector([0.0606, 0.0306, 0.0126, 0.0212, 0.021, 0.0, 0.7614, 0.0143, 0.0276, 0.0288, 0.0058, 0.0046, 0.0115, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 56.0, 24.0]), label=6.0, probability=DenseVector([0.0606, 0.0306, 0.0126, 0.0212, 0.021, 0.0, 0.7614, 0.0143, 0.0276, 0.0288, 0.0058, 0.0046, 0.0115, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 56.0, 25.0]), label=6.0, probability=DenseVector([0.0606, 0.0306, 0.0126, 0.0212, 0.021, 0.0, 0.7614, 0.0143, 0.0276, 0.0288, 0.0058, 0.0046, 0.0115, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 56.0, 29.0]), label=6.0, probability=DenseVector([0.0606, 0.0306, 0.0126, 0.0212, 0.021, 0.0, 0.7614, 0.0143, 0.0276, 0.0288, 0.0058, 0.0046, 0.0115, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 56.0, 29.0]), label=6.0, probability=DenseVector([0.0606, 0.0306, 0.0126, 0.0212, 0.021, 0.0, 0.7614, 0.0143, 0.0276, 0.0288, 0.0058, 0.0046, 0.0115, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 56.0, 32.0]), label=6.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 56.0, 33.0]), label=6.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 56.0, 37.0]), label=6.0, probability=DenseVector([0.0703, 0.0316, 0.0266, 0.032, 0.0243, 0.0, 0.683, 0.0166, 0.0415, 0.0417, 0.0103, 0.0067, 0.0153, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 56.0, 39.0]), label=6.0, probability=DenseVector([0.0703, 0.0316, 0.0266, 0.032, 0.0243, 0.0, 0.683, 0.0166, 0.0415, 0.0417, 0.0103, 0.0067, 0.0153, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 57.0, 28.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=2.0, features=DenseVector([28.0, 57.0, 44.0]), label=6.0, probability=DenseVector([0.0356, 0.0754, 0.2637, 0.1053, 0.0329, 0.0041, 0.1625, 0.0542, 0.1018, 0.0905, 0.0172, 0.0254, 0.0189, 0.0123]))
Row(prediction=6.0, features=DenseVector([28.0, 58.0, 25.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 58.0, 28.0]), label=0.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 58.0, 36.0]), label=6.0, probability=DenseVector([0.0541, 0.0282, 0.0201, 0.0263, 0.0192, 0.0, 0.7378, 0.0118, 0.0339, 0.0412, 0.0086, 0.0054, 0.0133, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 58.0, 38.0]), label=6.0, probability=DenseVector([0.0557, 0.0282, 0.0232, 0.0271, 0.0201, 0.0, 0.7273, 0.0128, 0.0353, 0.0421, 0.0095, 0.0056, 0.013, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 58.0, 42.0]), label=6.0, probability=DenseVector([0.0452, 0.0742, 0.2215, 0.0933, 0.0357, 0.0102, 0.2604, 0.0493, 0.0842, 0.0611, 0.0155, 0.021, 0.0193, 0.0092]))
Row(prediction=6.0, features=DenseVector([28.0, 59.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 59.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 59.0, 29.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 59.0, 29.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 59.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 59.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 59.0, 34.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 59.0, 35.0]), label=6.0, probability=DenseVector([0.0486, 0.0275, 0.0172, 0.0228, 0.0181, 0.0, 0.7647, 0.0109, 0.0294, 0.0368, 0.007, 0.0047, 0.0122, 0.0001]))
Row(prediction=2.0, features=DenseVector([28.0, 59.0, 45.0]), label=6.0, probability=DenseVector([0.0335, 0.0778, 0.2587, 0.1009, 0.0438, 0.0041, 0.1712, 0.0599, 0.1, 0.075, 0.016, 0.0254, 0.0214, 0.0123]))
Row(prediction=6.0, features=DenseVector([28.0, 60.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 60.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=2.0, features=DenseVector([28.0, 60.0, 44.0]), label=9.0, probability=DenseVector([0.0338, 0.0767, 0.2587, 0.099, 0.043, 0.0041, 0.192, 0.0599, 0.0986, 0.0628, 0.016, 0.0254, 0.0177, 0.0123]))
Row(prediction=2.0, features=DenseVector([28.0, 60.0, 51.0]), label=12.0, probability=DenseVector([0.0301, 0.0939, 0.2038, 0.1324, 0.0329, 0.004, 0.0846, 0.0645, 0.1078, 0.1675, 0.0177, 0.0276, 0.0267, 0.0065]))
Row(prediction=6.0, features=DenseVector([28.0, 62.0, 12.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 62.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 62.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 62.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 62.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 62.0, 32.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 62.0, 33.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 62.0, 34.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 13.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 13.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 17.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 29.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 63.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=3.0, features=DenseVector([29.0, 2.0, 49.0]), label=5.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=5.0, features=DenseVector([29.0, 11.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 11.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 11.0, 41.0]), label=5.0, probability=DenseVector([0.0131, 0.1445, 0.0021, 0.1333, 0.0084, 0.4969, 0.1029, 0.0091, 0.0095, 0.0353, 0.0087, 0.0018, 0.0345, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 12.0, 38.0]), label=9.0, probability=DenseVector([0.0055, 0.2637, 0.0005, 0.1191, 0.0151, 0.2997, 0.1395, 0.0007, 0.0035, 0.1053, 0.0074, 0.0005, 0.0394, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 12.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 12.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 12.0, 41.0]), label=5.0, probability=DenseVector([0.0131, 0.1445, 0.0021, 0.1333, 0.0084, 0.4969, 0.1029, 0.0091, 0.0095, 0.0353, 0.0087, 0.0018, 0.0345, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 13.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 13.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 13.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 13.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 13.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=3.0, features=DenseVector([29.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0184, 0.2184, 0.0162, 0.2545, 0.0108, 0.211, 0.1094, 0.0266, 0.0276, 0.0264, 0.0081, 0.0083, 0.0631, 0.0011]))
Row(prediction=3.0, features=DenseVector([29.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0184, 0.2184, 0.0162, 0.2545, 0.0108, 0.211, 0.1094, 0.0266, 0.0276, 0.0264, 0.0081, 0.0083, 0.0631, 0.0011]))
Row(prediction=5.0, features=DenseVector([29.0, 14.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0131, 0.1445, 0.0021, 0.1333, 0.0084, 0.4969, 0.1029, 0.0091, 0.0095, 0.0353, 0.0087, 0.0018, 0.0345, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0131, 0.1445, 0.0021, 0.1333, 0.0084, 0.4969, 0.1029, 0.0091, 0.0095, 0.0353, 0.0087, 0.0018, 0.0345, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0131, 0.1445, 0.0021, 0.1333, 0.0084, 0.4969, 0.1029, 0.0091, 0.0095, 0.0353, 0.0087, 0.0018, 0.0345, 0.0]))
Row(prediction=3.0, features=DenseVector([29.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0184, 0.2184, 0.0162, 0.2545, 0.0108, 0.211, 0.1094, 0.0266, 0.0276, 0.0264, 0.0081, 0.0083, 0.0631, 0.0011]))
Row(prediction=3.0, features=DenseVector([29.0, 14.0, 44.0]), label=5.0, probability=DenseVector([0.0191, 0.247, 0.03, 0.3561, 0.0081, 0.0676, 0.0721, 0.0395, 0.0422, 0.0244, 0.0028, 0.0142, 0.0741, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 14.0, 63.0]), label=9.0, probability=DenseVector([0.0099, 0.1797, 0.0451, 0.3725, 0.0034, 0.0207, 0.0149, 0.0596, 0.0797, 0.108, 0.0012, 0.0243, 0.0794, 0.0016]))
Row(prediction=1.0, features=DenseVector([29.0, 15.0, 32.0]), label=6.0, probability=DenseVector([0.0086, 0.2773, 0.0005, 0.1119, 0.0171, 0.2518, 0.1767, 0.0013, 0.0035, 0.1002, 0.0096, 0.0003, 0.0412, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 15.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 15.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 15.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0131, 0.1445, 0.0021, 0.1333, 0.0084, 0.4969, 0.1029, 0.0091, 0.0095, 0.0353, 0.0087, 0.0018, 0.0345, 0.0]))
Row(prediction=5.0, features=DenseVector([29.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0131, 0.1445, 0.0021, 0.1333, 0.0084, 0.4969, 0.1029, 0.0091, 0.0095, 0.0353, 0.0087, 0.0018, 0.0345, 0.0]))
Row(prediction=3.0, features=DenseVector([29.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0184, 0.2184, 0.0162, 0.2545, 0.0108, 0.211, 0.1094, 0.0266, 0.0276, 0.0264, 0.0081, 0.0083, 0.0631, 0.0011]))
Row(prediction=3.0, features=DenseVector([29.0, 15.0, 44.0]), label=5.0, probability=DenseVector([0.0191, 0.247, 0.03, 0.3561, 0.0081, 0.0676, 0.0721, 0.0395, 0.0422, 0.0244, 0.0028, 0.0142, 0.0741, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 15.0, 45.0]), label=5.0, probability=DenseVector([0.0196, 0.2474, 0.03, 0.3994, 0.008, 0.0398, 0.0577, 0.0395, 0.0422, 0.0231, 0.0028, 0.0145, 0.0733, 0.0026]))
Row(prediction=5.0, features=DenseVector([29.0, 16.0, 41.0]), label=5.0, probability=DenseVector([0.0131, 0.1445, 0.0021, 0.1333, 0.0084, 0.4969, 0.1029, 0.0091, 0.0095, 0.0353, 0.0087, 0.0018, 0.0345, 0.0]))
Row(prediction=3.0, features=DenseVector([29.0, 16.0, 42.0]), label=5.0, probability=DenseVector([0.0184, 0.2184, 0.0162, 0.2545, 0.0108, 0.211, 0.1094, 0.0266, 0.0276, 0.0264, 0.0081, 0.0083, 0.0631, 0.0011]))
Row(prediction=5.0, features=DenseVector([29.0, 18.0, 40.0]), label=6.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=3.0, features=DenseVector([29.0, 18.0, 47.0]), label=5.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 47.0]), label=9.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 21.0, 43.0]), label=6.0, probability=DenseVector([0.0186, 0.2408, 0.0213, 0.3329, 0.009, 0.1079, 0.082, 0.0363, 0.038, 0.0244, 0.0031, 0.0123, 0.0721, 0.0013]))
Row(prediction=3.0, features=DenseVector([29.0, 22.0, 43.0]), label=9.0, probability=DenseVector([0.0285, 0.2437, 0.0312, 0.2953, 0.0156, 0.0449, 0.1139, 0.0464, 0.0491, 0.0291, 0.0081, 0.0137, 0.078, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 22.0, 45.0]), label=12.0, probability=DenseVector([0.0251, 0.2519, 0.0373, 0.3444, 0.012, 0.0267, 0.0708, 0.0485, 0.0523, 0.0267, 0.0044, 0.0156, 0.0807, 0.0037]))
Row(prediction=3.0, features=DenseVector([29.0, 24.0, 51.0]), label=12.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 24.0, 52.0]), label=12.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=6.0, features=DenseVector([29.0, 25.0, 32.0]), label=9.0, probability=DenseVector([0.0456, 0.1677, 0.0064, 0.0461, 0.0329, 0.0289, 0.4865, 0.0059, 0.0083, 0.0884, 0.0526, 0.0012, 0.0293, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 26.0, 36.0]), label=6.0, probability=DenseVector([0.0467, 0.1673, 0.0084, 0.0477, 0.0333, 0.0289, 0.474, 0.0059, 0.0105, 0.0916, 0.0534, 0.0015, 0.0306, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 26.0, 41.0]), label=6.0, probability=DenseVector([0.0619, 0.1221, 0.0218, 0.0647, 0.0372, 0.1006, 0.3851, 0.0212, 0.0252, 0.0585, 0.0558, 0.0049, 0.0397, 0.0015]))
Row(prediction=6.0, features=DenseVector([29.0, 27.0, 41.0]), label=6.0, probability=DenseVector([0.0659, 0.1094, 0.0297, 0.053, 0.0419, 0.0591, 0.414, 0.0235, 0.0281, 0.0718, 0.0593, 0.0057, 0.037, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 57.0]), label=11.0, probability=DenseVector([0.0102, 0.1807, 0.0491, 0.3781, 0.0037, 0.0169, 0.0146, 0.0666, 0.0869, 0.0703, 0.0012, 0.0372, 0.0828, 0.0017]))
Row(prediction=6.0, features=DenseVector([29.0, 28.0, 33.0]), label=9.0, probability=DenseVector([0.0613, 0.0532, 0.0067, 0.0101, 0.0405, 0.0115, 0.6063, 0.008, 0.0087, 0.0959, 0.0734, 0.0033, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 52.0]), label=11.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 55.0]), label=11.0, probability=DenseVector([0.0102, 0.1807, 0.0491, 0.3781, 0.0037, 0.0169, 0.0146, 0.0666, 0.0869, 0.0703, 0.0012, 0.0372, 0.0828, 0.0017]))
Row(prediction=6.0, features=DenseVector([29.0, 29.0, 34.0]), label=6.0, probability=DenseVector([0.0613, 0.0532, 0.0067, 0.0101, 0.0405, 0.0115, 0.6063, 0.008, 0.0087, 0.0959, 0.0734, 0.0033, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 29.0, 39.0]), label=6.0, probability=DenseVector([0.0598, 0.058, 0.0138, 0.0147, 0.0402, 0.0522, 0.5697, 0.0082, 0.0128, 0.0775, 0.0658, 0.0021, 0.0247, 0.0004]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 54.0]), label=11.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=6.0, features=DenseVector([29.0, 30.0, 30.0]), label=6.0, probability=DenseVector([0.0621, 0.0526, 0.0067, 0.0099, 0.042, 0.0115, 0.6092, 0.0078, 0.0087, 0.0868, 0.0743, 0.0076, 0.0208, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 30.0, 31.0]), label=6.0, probability=DenseVector([0.0621, 0.0526, 0.0067, 0.0099, 0.042, 0.0115, 0.6092, 0.0078, 0.0087, 0.0868, 0.0743, 0.0076, 0.0208, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 30.0, 35.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 30.0, 36.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 30.0, 39.0]), label=6.0, probability=DenseVector([0.0598, 0.058, 0.0138, 0.0147, 0.0402, 0.0522, 0.5697, 0.0082, 0.0128, 0.0775, 0.0658, 0.0021, 0.0247, 0.0004]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=6.0, features=DenseVector([29.0, 31.0, 33.0]), label=6.0, probability=DenseVector([0.0621, 0.0526, 0.0067, 0.0099, 0.042, 0.0115, 0.6092, 0.0078, 0.0087, 0.0868, 0.0743, 0.0076, 0.0208, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 31.0, 34.0]), label=6.0, probability=DenseVector([0.0621, 0.0526, 0.0067, 0.0099, 0.042, 0.0115, 0.6092, 0.0078, 0.0087, 0.0868, 0.0743, 0.0076, 0.0208, 0.0002]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 52.0]), label=11.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 55.0]), label=9.0, probability=DenseVector([0.0102, 0.1874, 0.052, 0.3823, 0.0037, 0.0166, 0.0153, 0.0679, 0.0907, 0.0529, 0.0012, 0.0401, 0.078, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 63.0]), label=9.0, probability=DenseVector([0.0102, 0.1847, 0.0509, 0.3792, 0.0041, 0.0166, 0.0147, 0.0667, 0.0914, 0.0681, 0.0012, 0.0347, 0.0758, 0.0017]))
Row(prediction=6.0, features=DenseVector([29.0, 32.0, 29.0]), label=6.0, probability=DenseVector([0.065, 0.0604, 0.0065, 0.0072, 0.0396, 0.0044, 0.64, 0.0077, 0.0101, 0.0629, 0.0744, 0.0013, 0.0204, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 32.0, 31.0]), label=6.0, probability=DenseVector([0.0796, 0.0507, 0.0079, 0.0106, 0.0501, 0.0115, 0.5687, 0.0092, 0.0105, 0.0778, 0.1012, 0.0016, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 32.0, 33.0]), label=9.0, probability=DenseVector([0.0796, 0.0507, 0.0079, 0.0106, 0.0501, 0.0115, 0.5687, 0.0092, 0.0105, 0.0778, 0.1012, 0.0016, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 32.0, 35.0]), label=6.0, probability=DenseVector([0.0806, 0.0503, 0.0099, 0.0123, 0.0505, 0.0115, 0.5563, 0.0091, 0.0128, 0.0809, 0.1021, 0.0019, 0.0217, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 32.0, 35.0]), label=6.0, probability=DenseVector([0.0806, 0.0503, 0.0099, 0.0123, 0.0505, 0.0115, 0.5563, 0.0091, 0.0128, 0.0809, 0.1021, 0.0019, 0.0217, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 32.0, 36.0]), label=6.0, probability=DenseVector([0.0806, 0.0503, 0.0099, 0.0123, 0.0505, 0.0115, 0.5563, 0.0091, 0.0128, 0.0809, 0.1021, 0.0019, 0.0217, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 32.0, 41.0]), label=9.0, probability=DenseVector([0.0685, 0.1084, 0.0298, 0.0532, 0.0439, 0.0183, 0.4451, 0.0237, 0.0288, 0.0732, 0.0626, 0.0057, 0.0372, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=9.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=11.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=12.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 54.0]), label=9.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 54.0]), label=11.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=6.0, features=DenseVector([29.0, 33.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 33.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 33.0, 39.0]), label=6.0, probability=DenseVector([0.0842, 0.0548, 0.0151, 0.0157, 0.0562, 0.0115, 0.5269, 0.0109, 0.0149, 0.0768, 0.1074, 0.0025, 0.0225, 0.0004]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 51.0]), label=11.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=11.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 54.0]), label=9.0, probability=DenseVector([0.0121, 0.1833, 0.0562, 0.3974, 0.0036, 0.0187, 0.0161, 0.0781, 0.0985, 0.0357, 0.0017, 0.0343, 0.062, 0.0024]))
Row(prediction=6.0, features=DenseVector([29.0, 34.0, 24.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 34.0, 24.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 34.0, 39.0]), label=6.0, probability=DenseVector([0.0842, 0.0548, 0.0151, 0.0157, 0.0562, 0.0115, 0.5269, 0.0109, 0.0149, 0.0768, 0.1074, 0.0025, 0.0225, 0.0004]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 43.0]), label=6.0, probability=DenseVector([0.0461, 0.1853, 0.0893, 0.199, 0.0222, 0.0255, 0.1119, 0.0854, 0.0981, 0.0379, 0.0129, 0.0254, 0.0578, 0.0034]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 46.0]), label=6.0, probability=DenseVector([0.0428, 0.19, 0.1104, 0.213, 0.0175, 0.0216, 0.0651, 0.0924, 0.1093, 0.0366, 0.0086, 0.0285, 0.0594, 0.0048]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 50.0]), label=11.0, probability=DenseVector([0.029, 0.1583, 0.0924, 0.3195, 0.0087, 0.0334, 0.0262, 0.0959, 0.1144, 0.0324, 0.0049, 0.0329, 0.0492, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=11.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 54.0]), label=11.0, probability=DenseVector([0.0254, 0.1598, 0.1102, 0.2684, 0.0075, 0.028, 0.0173, 0.1072, 0.145, 0.0406, 0.0044, 0.0431, 0.04, 0.0028]))
Row(prediction=6.0, features=DenseVector([29.0, 35.0, 26.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 35.0, 30.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 35.0, 33.0]), label=9.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 35.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=9.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=9.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 54.0]), label=13.0, probability=DenseVector([0.0283, 0.1541, 0.1267, 0.2441, 0.0081, 0.0328, 0.0173, 0.1101, 0.1508, 0.0416, 0.0048, 0.0438, 0.0345, 0.0031]))
Row(prediction=6.0, features=DenseVector([29.0, 36.0, 28.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 36.0, 28.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 36.0, 29.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 36.0, 30.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 36.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 36.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=11.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=9.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=9.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 55.0]), label=11.0, probability=DenseVector([0.0286, 0.1573, 0.1293, 0.2287, 0.0085, 0.0363, 0.0183, 0.1088, 0.1489, 0.0467, 0.0049, 0.0441, 0.0371, 0.0025]))
Row(prediction=6.0, features=DenseVector([29.0, 37.0, 22.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 37.0, 25.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 37.0, 27.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 37.0, 33.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 37.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 46.0]), label=9.0, probability=DenseVector([0.044, 0.1553, 0.1612, 0.1958, 0.0172, 0.021, 0.0523, 0.0952, 0.1218, 0.0408, 0.0102, 0.0326, 0.044, 0.0085]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=9.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=9.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=11.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=9.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=6.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 55.0]), label=11.0, probability=DenseVector([0.0286, 0.1573, 0.1293, 0.2287, 0.0085, 0.0363, 0.0183, 0.1088, 0.1489, 0.0467, 0.0049, 0.0441, 0.0371, 0.0025]))
Row(prediction=6.0, features=DenseVector([29.0, 38.0, 23.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 38.0, 24.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 38.0, 29.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 38.0, 31.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 38.0, 34.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 38.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 50.0]), label=9.0, probability=DenseVector([0.0329, 0.1325, 0.1406, 0.2549, 0.011, 0.0494, 0.0269, 0.1008, 0.1318, 0.0352, 0.0071, 0.0366, 0.0359, 0.0044]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=13.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=9.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 54.0]), label=2.0, probability=DenseVector([0.0292, 0.1512, 0.1335, 0.2385, 0.0083, 0.0371, 0.0173, 0.1098, 0.1476, 0.042, 0.005, 0.0439, 0.0337, 0.003]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 56.0]), label=12.0, probability=DenseVector([0.0274, 0.1553, 0.1257, 0.2222, 0.0093, 0.0361, 0.0189, 0.105, 0.1504, 0.0569, 0.0068, 0.0432, 0.0403, 0.0024]))
Row(prediction=6.0, features=DenseVector([29.0, 39.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 39.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 46.0]), label=11.0, probability=DenseVector([0.044, 0.1553, 0.1612, 0.1958, 0.0172, 0.021, 0.0523, 0.0952, 0.1218, 0.0408, 0.0102, 0.0326, 0.044, 0.0085]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=11.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=11.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=11.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 53.0]), label=9.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 53.0]), label=6.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 55.0]), label=6.0, probability=DenseVector([0.0286, 0.1573, 0.1293, 0.2287, 0.0085, 0.0363, 0.0183, 0.1088, 0.1489, 0.0467, 0.0049, 0.0441, 0.0371, 0.0025]))
Row(prediction=6.0, features=DenseVector([29.0, 40.0, 27.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 40.0, 31.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 40.0, 31.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 49.0]), label=0.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=11.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 53.0]), label=5.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 53.0]), label=9.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=6.0, features=DenseVector([29.0, 41.0, 26.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 41.0, 29.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 41.0, 40.0]), label=9.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 41.0, 41.0]), label=9.0, probability=DenseVector([0.0809, 0.1019, 0.0339, 0.0375, 0.0535, 0.0175, 0.4282, 0.0233, 0.0264, 0.0761, 0.0814, 0.0084, 0.0286, 0.0025]))
Row(prediction=2.0, features=DenseVector([29.0, 41.0, 44.0]), label=9.0, probability=DenseVector([0.0484, 0.1131, 0.2289, 0.1577, 0.0213, 0.0178, 0.0556, 0.0739, 0.1257, 0.0586, 0.0151, 0.0378, 0.0355, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 41.0, 46.0]), label=11.0, probability=DenseVector([0.046, 0.1143, 0.2338, 0.1658, 0.0176, 0.0237, 0.0525, 0.0767, 0.129, 0.0464, 0.012, 0.0347, 0.0355, 0.012]))
Row(prediction=2.0, features=DenseVector([29.0, 41.0, 47.0]), label=1.0, probability=DenseVector([0.046, 0.1143, 0.2338, 0.1658, 0.0176, 0.0237, 0.0525, 0.0767, 0.129, 0.0464, 0.012, 0.0347, 0.0355, 0.012]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=6.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=11.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 53.0]), label=1.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=6.0, features=DenseVector([29.0, 42.0, 28.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 42.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 42.0, 40.0]), label=0.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 46.0]), label=9.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 46.0]), label=11.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 47.0]), label=9.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 47.0]), label=9.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 49.0]), label=6.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=11.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=0.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=3.0, features=DenseVector([29.0, 42.0, 53.0]), label=11.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 42.0, 56.0]), label=9.0, probability=DenseVector([0.0374, 0.1157, 0.1706, 0.2066, 0.017, 0.0331, 0.0255, 0.0785, 0.1495, 0.0763, 0.0111, 0.0387, 0.0362, 0.0038]))
Row(prediction=6.0, features=DenseVector([29.0, 43.0, 20.0]), label=6.0, probability=DenseVector([0.0869, 0.0646, 0.008, 0.0077, 0.0476, 0.0044, 0.5959, 0.0091, 0.0121, 0.0538, 0.0888, 0.0014, 0.0195, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 43.0, 26.0]), label=6.0, probability=DenseVector([0.0869, 0.0646, 0.008, 0.0077, 0.0476, 0.0044, 0.5959, 0.0091, 0.0121, 0.0538, 0.0888, 0.0014, 0.0195, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.0972, 0.0548, 0.0094, 0.0111, 0.0519, 0.0115, 0.5536, 0.0097, 0.0129, 0.0688, 0.097, 0.0018, 0.0202, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 43.0, 42.0]), label=9.0, probability=DenseVector([0.0663, 0.0902, 0.1653, 0.1116, 0.0444, 0.0227, 0.1861, 0.0494, 0.081, 0.0694, 0.053, 0.0258, 0.0261, 0.0088]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 47.0]), label=6.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=11.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 51.0]), label=6.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 51.0]), label=1.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=3.0, features=DenseVector([29.0, 43.0, 52.0]), label=13.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 43.0, 57.0]), label=6.0, probability=DenseVector([0.0374, 0.1157, 0.1706, 0.2066, 0.017, 0.0331, 0.0255, 0.0785, 0.1495, 0.0763, 0.0111, 0.0387, 0.0362, 0.0038]))
Row(prediction=6.0, features=DenseVector([29.0, 44.0, 21.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 44.0, 40.0]), label=6.0, probability=DenseVector([0.1023, 0.0602, 0.0221, 0.0156, 0.0518, 0.0073, 0.5347, 0.0124, 0.0194, 0.0771, 0.0698, 0.0031, 0.0235, 0.0006]))
Row(prediction=6.0, features=DenseVector([29.0, 44.0, 40.0]), label=6.0, probability=DenseVector([0.1023, 0.0602, 0.0221, 0.0156, 0.0518, 0.0073, 0.5347, 0.0124, 0.0194, 0.0771, 0.0698, 0.0031, 0.0235, 0.0006]))
Row(prediction=6.0, features=DenseVector([29.0, 44.0, 42.0]), label=9.0, probability=DenseVector([0.0727, 0.0902, 0.1692, 0.1106, 0.0413, 0.0184, 0.1995, 0.0509, 0.0825, 0.0679, 0.0359, 0.0261, 0.0259, 0.0089]))
Row(prediction=6.0, features=DenseVector([29.0, 44.0, 42.0]), label=6.0, probability=DenseVector([0.0727, 0.0902, 0.1692, 0.1106, 0.0413, 0.0184, 0.1995, 0.0509, 0.0825, 0.0679, 0.0359, 0.0261, 0.0259, 0.0089]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 45.0]), label=6.0, probability=DenseVector([0.0444, 0.0973, 0.2424, 0.1607, 0.0208, 0.0178, 0.0556, 0.0737, 0.1293, 0.0603, 0.0148, 0.0395, 0.0325, 0.0108]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 45.0]), label=11.0, probability=DenseVector([0.0444, 0.0973, 0.2424, 0.1607, 0.0208, 0.0178, 0.0556, 0.0737, 0.1293, 0.0603, 0.0148, 0.0395, 0.0325, 0.0108]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 46.0]), label=6.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 46.0]), label=6.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 47.0]), label=9.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=3.0, features=DenseVector([29.0, 44.0, 53.0]), label=5.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 44.0, 54.0]), label=13.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=6.0, features=DenseVector([29.0, 45.0, 27.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 45.0, 28.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 45.0, 36.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 45.0, 40.0]), label=6.0, probability=DenseVector([0.1023, 0.0602, 0.0221, 0.0156, 0.0518, 0.0073, 0.5347, 0.0124, 0.0194, 0.0771, 0.0698, 0.0031, 0.0235, 0.0006]))
Row(prediction=6.0, features=DenseVector([29.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.0967, 0.0768, 0.0525, 0.0293, 0.0552, 0.0079, 0.4473, 0.0209, 0.0278, 0.0807, 0.0671, 0.0098, 0.0248, 0.0032]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 43.0]), label=6.0, probability=DenseVector([0.0573, 0.0962, 0.2218, 0.1232, 0.0315, 0.0138, 0.1225, 0.0625, 0.1069, 0.0675, 0.0254, 0.0327, 0.0281, 0.0108]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 44.0]), label=6.0, probability=DenseVector([0.0417, 0.0922, 0.2725, 0.1435, 0.0211, 0.0077, 0.0635, 0.0706, 0.1285, 0.0626, 0.0146, 0.0387, 0.0289, 0.0138]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 46.0]), label=12.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 46.0]), label=0.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 46.0]), label=9.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=6.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=12.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=6.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=6.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=6.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=9.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=6.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=6.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 50.0]), label=11.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 51.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=3.0, features=DenseVector([29.0, 45.0, 52.0]), label=9.0, probability=DenseVector([0.0356, 0.106, 0.2084, 0.2267, 0.012, 0.0383, 0.026, 0.0846, 0.1437, 0.0428, 0.0071, 0.0359, 0.0246, 0.0082]))
Row(prediction=3.0, features=DenseVector([29.0, 45.0, 54.0]), label=6.0, probability=DenseVector([0.0363, 0.1094, 0.2071, 0.2205, 0.0126, 0.0382, 0.0263, 0.0838, 0.142, 0.0452, 0.0075, 0.0372, 0.0258, 0.0082]))
Row(prediction=3.0, features=DenseVector([29.0, 45.0, 55.0]), label=11.0, probability=DenseVector([0.0367, 0.1118, 0.1998, 0.2124, 0.0139, 0.0339, 0.028, 0.0814, 0.1449, 0.056, 0.0079, 0.0381, 0.0277, 0.0074]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 19.0]), label=6.0, probability=DenseVector([0.1034, 0.0635, 0.0119, 0.007, 0.0448, 0.0001, 0.609, 0.0109, 0.0155, 0.0486, 0.0659, 0.0018, 0.0171, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 19.0]), label=6.0, probability=DenseVector([0.1034, 0.0635, 0.0119, 0.007, 0.0448, 0.0001, 0.609, 0.0109, 0.0155, 0.0486, 0.0659, 0.0018, 0.0171, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 23.0]), label=6.0, probability=DenseVector([0.1034, 0.0635, 0.0119, 0.007, 0.0448, 0.0001, 0.609, 0.0109, 0.0155, 0.0486, 0.0659, 0.0018, 0.0171, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 24.0]), label=6.0, probability=DenseVector([0.1034, 0.0635, 0.0119, 0.007, 0.0448, 0.0001, 0.609, 0.0109, 0.0155, 0.0486, 0.0659, 0.0018, 0.0171, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 34.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 37.0]), label=6.0, probability=DenseVector([0.1085, 0.0563, 0.0174, 0.0152, 0.0494, 0.0072, 0.548, 0.012, 0.02, 0.067, 0.0737, 0.0034, 0.0217, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 39.0]), label=6.0, probability=DenseVector([0.1071, 0.0602, 0.0225, 0.0185, 0.051, 0.0072, 0.5336, 0.0131, 0.0215, 0.0712, 0.0663, 0.004, 0.0232, 0.0006]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 42.0]), label=6.0, probability=DenseVector([0.067, 0.0826, 0.2065, 0.0918, 0.0393, 0.0104, 0.2331, 0.048, 0.0754, 0.0615, 0.032, 0.0205, 0.0197, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 46.0]), label=11.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 46.0]), label=6.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=11.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=0.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=6.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=6.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=13.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=6.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=9.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 51.0]), label=11.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 52.0]), label=9.0, probability=DenseVector([0.0297, 0.1057, 0.2348, 0.2016, 0.0135, 0.0296, 0.0407, 0.0807, 0.1359, 0.0534, 0.0079, 0.0332, 0.0215, 0.0117]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 62.0]), label=9.0, probability=DenseVector([0.028, 0.1066, 0.22, 0.1733, 0.022, 0.0254, 0.0401, 0.0719, 0.1332, 0.0915, 0.0124, 0.0333, 0.0315, 0.0109]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.1088, 0.0524, 0.0146, 0.0137, 0.045, 0.0072, 0.5986, 0.0134, 0.0202, 0.0535, 0.0523, 0.0027, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.1088, 0.0524, 0.0146, 0.0137, 0.045, 0.0072, 0.5986, 0.0134, 0.0202, 0.0535, 0.0523, 0.0027, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 33.0]), label=6.0, probability=DenseVector([0.1088, 0.0524, 0.0146, 0.0137, 0.045, 0.0072, 0.5986, 0.0134, 0.0202, 0.0535, 0.0523, 0.0027, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 34.0]), label=6.0, probability=DenseVector([0.1088, 0.0524, 0.0146, 0.0137, 0.045, 0.0072, 0.5986, 0.0134, 0.0202, 0.0535, 0.0523, 0.0027, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 37.0]), label=6.0, probability=DenseVector([0.1063, 0.0549, 0.0219, 0.0207, 0.0462, 0.0072, 0.553, 0.0135, 0.0267, 0.0674, 0.0555, 0.0046, 0.0218, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 38.0]), label=6.0, probability=DenseVector([0.1063, 0.0549, 0.0219, 0.0207, 0.0462, 0.0072, 0.553, 0.0135, 0.0267, 0.0674, 0.0555, 0.0046, 0.0218, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 38.0]), label=0.0, probability=DenseVector([0.1063, 0.0549, 0.0219, 0.0207, 0.0462, 0.0072, 0.553, 0.0135, 0.0267, 0.0674, 0.0555, 0.0046, 0.0218, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.1056, 0.0566, 0.0259, 0.0239, 0.0476, 0.0072, 0.5405, 0.0142, 0.028, 0.0694, 0.0529, 0.0051, 0.0226, 0.0007]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 40.0]), label=6.0, probability=DenseVector([0.104, 0.0594, 0.0331, 0.0258, 0.0493, 0.0072, 0.5242, 0.0155, 0.0316, 0.0714, 0.0497, 0.0052, 0.0227, 0.0008]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0851, 0.0639, 0.0802, 0.0394, 0.0477, 0.0073, 0.4726, 0.0235, 0.0425, 0.064, 0.0405, 0.0089, 0.0215, 0.0031]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 42.0]), label=9.0, probability=DenseVector([0.0588, 0.0741, 0.2178, 0.0924, 0.0383, 0.0103, 0.2496, 0.0473, 0.0769, 0.0571, 0.0271, 0.0202, 0.0179, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 46.0]), label=6.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 48.0]), label=6.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=6.0, features=DenseVector([29.0, 48.0, 27.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=6.0, features=DenseVector([29.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.09, 0.0476, 0.0363, 0.0336, 0.0379, 0.0001, 0.5862, 0.0204, 0.0416, 0.0525, 0.0269, 0.0077, 0.0185, 0.0007]))
Row(prediction=6.0, features=DenseVector([29.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.09, 0.0476, 0.0363, 0.0336, 0.0379, 0.0001, 0.5862, 0.0204, 0.0416, 0.0525, 0.0269, 0.0077, 0.0185, 0.0007]))
Row(prediction=6.0, features=DenseVector([29.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.0588, 0.0741, 0.2178, 0.0924, 0.0383, 0.0103, 0.2496, 0.0473, 0.0769, 0.0571, 0.0271, 0.0202, 0.0179, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 45.0]), label=6.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 45.0]), label=6.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 46.0]), label=6.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 48.0]), label=6.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 49.0]), label=5.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 50.0]), label=6.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 44.0]), label=13.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 45.0]), label=0.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 48.0]), label=6.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 50.0]), label=13.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 51.0]), label=9.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 35.0]), label=6.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 40.0]), label=0.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.0762, 0.0552, 0.087, 0.0457, 0.0409, 0.0002, 0.5048, 0.027, 0.0519, 0.0542, 0.0252, 0.0106, 0.0181, 0.0031]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 42.0]), label=6.0, probability=DenseVector([0.0588, 0.0741, 0.2178, 0.0924, 0.0383, 0.0103, 0.2496, 0.0473, 0.0769, 0.0571, 0.0271, 0.0202, 0.0179, 0.0123]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 42.0]), label=6.0, probability=DenseVector([0.0588, 0.0741, 0.2178, 0.0924, 0.0383, 0.0103, 0.2496, 0.0473, 0.0769, 0.0571, 0.0271, 0.0202, 0.0179, 0.0123]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 42.0]), label=6.0, probability=DenseVector([0.0588, 0.0741, 0.2178, 0.0924, 0.0383, 0.0103, 0.2496, 0.0473, 0.0769, 0.0571, 0.0271, 0.0202, 0.0179, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 46.0]), label=6.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 20.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 38.0]), label=9.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0366, 0.0689, 0.2976, 0.1151, 0.0282, 0.0104, 0.1795, 0.0508, 0.0825, 0.0638, 0.0153, 0.0215, 0.0159, 0.0138]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0366, 0.0689, 0.2976, 0.1151, 0.0282, 0.0104, 0.1795, 0.0508, 0.0825, 0.0638, 0.0153, 0.0215, 0.0159, 0.0138]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 43.0]), label=6.0, probability=DenseVector([0.0333, 0.069, 0.3147, 0.1224, 0.0249, 0.0107, 0.1595, 0.0508, 0.0829, 0.0619, 0.0148, 0.0202, 0.0154, 0.0196]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 43.0]), label=6.0, probability=DenseVector([0.0333, 0.069, 0.3147, 0.1224, 0.0249, 0.0107, 0.1595, 0.0508, 0.0829, 0.0619, 0.0148, 0.0202, 0.0154, 0.0196]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 23.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 24.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 27.0]), label=0.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 40.0]), label=6.0, probability=DenseVector([0.0673, 0.0328, 0.0728, 0.0413, 0.0293, 0.0001, 0.5654, 0.027, 0.0663, 0.0507, 0.0144, 0.0169, 0.0151, 0.0005]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0594, 0.0431, 0.1152, 0.0499, 0.0335, 0.0002, 0.4902, 0.0327, 0.0705, 0.0526, 0.0144, 0.0195, 0.0159, 0.0028]))
Row(prediction=2.0, features=DenseVector([29.0, 52.0, 42.0]), label=0.0, probability=DenseVector([0.0366, 0.0689, 0.2976, 0.1151, 0.0282, 0.0104, 0.1795, 0.0508, 0.0825, 0.0638, 0.0153, 0.0215, 0.0159, 0.0138]))
Row(prediction=2.0, features=DenseVector([29.0, 52.0, 48.0]), label=0.0, probability=DenseVector([0.0278, 0.0765, 0.2951, 0.1657, 0.0193, 0.0168, 0.0834, 0.0652, 0.1087, 0.0721, 0.0115, 0.0252, 0.0178, 0.0147]))
Row(prediction=2.0, features=DenseVector([29.0, 52.0, 48.0]), label=6.0, probability=DenseVector([0.0278, 0.0765, 0.2951, 0.1657, 0.0193, 0.0168, 0.0834, 0.0652, 0.1087, 0.0721, 0.0115, 0.0252, 0.0178, 0.0147]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 22.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 23.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 27.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 37.0]), label=0.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 41.0]), label=6.0, probability=DenseVector([0.0591, 0.0429, 0.1118, 0.0494, 0.0341, 0.0002, 0.5016, 0.0303, 0.063, 0.0555, 0.0134, 0.0202, 0.0152, 0.0032]))
Row(prediction=2.0, features=DenseVector([29.0, 53.0, 43.0]), label=6.0, probability=DenseVector([0.036, 0.0682, 0.3016, 0.1188, 0.0271, 0.0107, 0.1737, 0.0498, 0.0823, 0.0611, 0.0149, 0.0207, 0.0155, 0.0196]))
Row(prediction=2.0, features=DenseVector([29.0, 53.0, 44.0]), label=6.0, probability=DenseVector([0.0332, 0.0695, 0.3215, 0.125, 0.0251, 0.0046, 0.126, 0.0544, 0.0946, 0.0664, 0.0175, 0.0236, 0.0169, 0.0218]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 8.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 26.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 30.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 35.0]), label=8.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 38.0]), label=11.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 40.0]), label=11.0, probability=DenseVector([0.0667, 0.0358, 0.0653, 0.0418, 0.0305, 0.0001, 0.5794, 0.0228, 0.0566, 0.0553, 0.0127, 0.0161, 0.0152, 0.0017]))
Row(prediction=2.0, features=DenseVector([29.0, 54.0, 44.0]), label=6.0, probability=DenseVector([0.0343, 0.0704, 0.3081, 0.1205, 0.0259, 0.0045, 0.1425, 0.054, 0.0944, 0.0659, 0.0168, 0.0235, 0.0176, 0.0217]))
Row(prediction=2.0, features=DenseVector([29.0, 54.0, 45.0]), label=6.0, probability=DenseVector([0.0343, 0.0704, 0.3081, 0.1205, 0.0259, 0.0045, 0.1425, 0.054, 0.0944, 0.0659, 0.0168, 0.0235, 0.0176, 0.0217]))
Row(prediction=2.0, features=DenseVector([29.0, 54.0, 49.0]), label=9.0, probability=DenseVector([0.0297, 0.0751, 0.2505, 0.159, 0.0307, 0.0168, 0.0809, 0.0627, 0.1086, 0.1126, 0.0177, 0.0231, 0.0193, 0.0134]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 18.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 26.0]), label=6.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 31.0]), label=8.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 32.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 34.0]), label=6.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 39.0]), label=6.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 39.0]), label=11.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 41.0]), label=6.0, probability=DenseVector([0.0588, 0.0461, 0.1077, 0.0504, 0.0346, 0.0002, 0.5043, 0.0285, 0.0609, 0.0572, 0.0127, 0.0187, 0.0159, 0.004]))
Row(prediction=6.0, features=DenseVector([29.0, 55.0, 41.0]), label=6.0, probability=DenseVector([0.0588, 0.0461, 0.1077, 0.0504, 0.0346, 0.0002, 0.5043, 0.0285, 0.0609, 0.0572, 0.0127, 0.0187, 0.0159, 0.004]))
Row(prediction=2.0, features=DenseVector([29.0, 55.0, 46.0]), label=6.0, probability=DenseVector([0.0343, 0.0704, 0.3081, 0.1205, 0.0259, 0.0045, 0.1425, 0.054, 0.0944, 0.0659, 0.0168, 0.0235, 0.0176, 0.0217]))
Row(prediction=2.0, features=DenseVector([29.0, 55.0, 47.0]), label=6.0, probability=DenseVector([0.0301, 0.0702, 0.3031, 0.1227, 0.0302, 0.0045, 0.1044, 0.0555, 0.0977, 0.1021, 0.0187, 0.0222, 0.0179, 0.0206]))
Row(prediction=6.0, features=DenseVector([29.0, 56.0, 28.0]), label=6.0, probability=DenseVector([0.0606, 0.0306, 0.0126, 0.0212, 0.021, 0.0, 0.7614, 0.0143, 0.0276, 0.0288, 0.0058, 0.0046, 0.0115, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 56.0, 35.0]), label=6.0, probability=DenseVector([0.065, 0.0318, 0.0207, 0.0282, 0.0223, 0.0, 0.7145, 0.015, 0.0365, 0.0374, 0.008, 0.0058, 0.0147, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 56.0, 35.0]), label=9.0, probability=DenseVector([0.065, 0.0318, 0.0207, 0.0282, 0.0223, 0.0, 0.7145, 0.015, 0.0365, 0.0374, 0.008, 0.0058, 0.0147, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 56.0, 36.0]), label=6.0, probability=DenseVector([0.0687, 0.0316, 0.0235, 0.0311, 0.0234, 0.0, 0.6935, 0.0155, 0.0401, 0.0408, 0.0094, 0.0065, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 56.0, 37.0]), label=0.0, probability=DenseVector([0.0703, 0.0316, 0.0266, 0.032, 0.0243, 0.0, 0.683, 0.0166, 0.0415, 0.0417, 0.0103, 0.0067, 0.0153, 0.0001]))
Row(prediction=2.0, features=DenseVector([29.0, 56.0, 42.0]), label=6.0, probability=DenseVector([0.0415, 0.0677, 0.2539, 0.105, 0.0342, 0.0103, 0.2242, 0.0482, 0.0818, 0.066, 0.015, 0.0215, 0.0174, 0.0131]))
Row(prediction=6.0, features=DenseVector([29.0, 57.0, 28.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 57.0, 31.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 57.0, 32.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 57.0, 33.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 57.0, 33.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 57.0, 37.0]), label=6.0, probability=DenseVector([0.0557, 0.0282, 0.0232, 0.0271, 0.0201, 0.0, 0.7273, 0.0128, 0.0353, 0.0421, 0.0095, 0.0056, 0.013, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 57.0, 41.0]), label=6.0, probability=DenseVector([0.0567, 0.046, 0.0998, 0.0526, 0.0359, 0.0002, 0.5273, 0.0241, 0.0514, 0.0609, 0.0119, 0.0126, 0.0165, 0.004]))
Row(prediction=2.0, features=DenseVector([29.0, 57.0, 43.0]), label=6.0, probability=DenseVector([0.0373, 0.0651, 0.2543, 0.1081, 0.0345, 0.0106, 0.2091, 0.0454, 0.0833, 0.0827, 0.0146, 0.0198, 0.0164, 0.0189]))
Row(prediction=9.0, features=DenseVector([29.0, 57.0, 54.0]), label=9.0, probability=DenseVector([0.0253, 0.0916, 0.1369, 0.1351, 0.0453, 0.016, 0.068, 0.0531, 0.1046, 0.2494, 0.0177, 0.0226, 0.0293, 0.0051]))
Row(prediction=6.0, features=DenseVector([29.0, 58.0, 25.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 58.0, 33.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 58.0, 33.0]), label=0.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 59.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 59.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 59.0, 35.0]), label=6.0, probability=DenseVector([0.0486, 0.0275, 0.0172, 0.0228, 0.0181, 0.0, 0.7647, 0.0109, 0.0294, 0.0368, 0.007, 0.0047, 0.0122, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 59.0, 38.0]), label=6.0, probability=DenseVector([0.0539, 0.0273, 0.0232, 0.0266, 0.02, 0.0, 0.7332, 0.0124, 0.0344, 0.0412, 0.0093, 0.0056, 0.0128, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 60.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 60.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 60.0, 31.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 60.0, 38.0]), label=6.0, probability=DenseVector([0.0539, 0.0273, 0.0232, 0.0266, 0.02, 0.0, 0.7332, 0.0124, 0.0344, 0.0412, 0.0093, 0.0056, 0.0128, 0.0001]))
Row(prediction=2.0, features=DenseVector([29.0, 60.0, 43.0]), label=6.0, probability=DenseVector([0.0357, 0.0668, 0.2492, 0.1041, 0.0278, 0.0106, 0.2464, 0.0451, 0.0785, 0.0681, 0.0134, 0.0198, 0.0157, 0.0189]))
Row(prediction=6.0, features=DenseVector([29.0, 61.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 61.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 61.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 61.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 11.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 13.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 17.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 17.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 31.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 62.0, 32.0]), label=0.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 5.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 17.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 63.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=1.0, features=DenseVector([30.0, 5.0, 37.0]), label=9.0, probability=DenseVector([0.0055, 0.2865, 0.0005, 0.125, 0.0157, 0.258, 0.1438, 0.0007, 0.0032, 0.1096, 0.0074, 0.0005, 0.0436, 0.0]))
Row(prediction=1.0, features=DenseVector([30.0, 12.0, 37.0]), label=5.0, probability=DenseVector([0.0055, 0.2865, 0.0005, 0.125, 0.0157, 0.258, 0.1438, 0.0007, 0.0032, 0.1096, 0.0074, 0.0005, 0.0436, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 12.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 12.0, 42.0]), label=5.0, probability=DenseVector([0.0074, 0.1645, 0.0261, 0.1956, 0.0082, 0.3697, 0.0789, 0.0166, 0.0185, 0.0491, 0.008, 0.0094, 0.0468, 0.0013]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 39.0]), label=5.0, probability=DenseVector([0.0054, 0.1158, 0.001, 0.0854, 0.008, 0.5759, 0.0997, 0.0008, 0.0024, 0.0568, 0.0074, 0.0176, 0.0237, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0069, 0.123, 0.0049, 0.1048, 0.0068, 0.5649, 0.0979, 0.005, 0.0059, 0.0409, 0.0076, 0.0018, 0.0296, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0069, 0.123, 0.0049, 0.1048, 0.0068, 0.5649, 0.0979, 0.005, 0.0059, 0.0409, 0.0076, 0.0018, 0.0296, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0069, 0.123, 0.0049, 0.1048, 0.0068, 0.5649, 0.0979, 0.005, 0.0059, 0.0409, 0.0076, 0.0018, 0.0296, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0069, 0.123, 0.0049, 0.1048, 0.0068, 0.5649, 0.0979, 0.005, 0.0059, 0.0409, 0.0076, 0.0018, 0.0296, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0069, 0.123, 0.0049, 0.1048, 0.0068, 0.5649, 0.0979, 0.005, 0.0059, 0.0409, 0.0076, 0.0018, 0.0296, 0.0]))
Row(prediction=3.0, features=DenseVector([30.0, 13.0, 43.0]), label=5.0, probability=DenseVector([0.0077, 0.1869, 0.0312, 0.274, 0.0064, 0.2666, 0.0514, 0.0263, 0.0288, 0.0471, 0.003, 0.0133, 0.0557, 0.0016]))
Row(prediction=3.0, features=DenseVector([30.0, 13.0, 44.0]), label=5.0, probability=DenseVector([0.0082, 0.1931, 0.04, 0.2972, 0.0054, 0.2263, 0.0416, 0.0294, 0.0331, 0.0471, 0.0027, 0.0153, 0.0578, 0.0028]))
Row(prediction=5.0, features=DenseVector([30.0, 14.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 14.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 14.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0069, 0.123, 0.0049, 0.1048, 0.0068, 0.5649, 0.0979, 0.005, 0.0059, 0.0409, 0.0076, 0.0018, 0.0296, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0069, 0.123, 0.0049, 0.1048, 0.0068, 0.5649, 0.0979, 0.005, 0.0059, 0.0409, 0.0076, 0.0018, 0.0296, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 14.0, 41.0]), label=12.0, probability=DenseVector([0.0069, 0.123, 0.0049, 0.1048, 0.0068, 0.5649, 0.0979, 0.005, 0.0059, 0.0409, 0.0076, 0.0018, 0.0296, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0074, 0.1645, 0.0261, 0.1956, 0.0082, 0.3697, 0.0789, 0.0166, 0.0185, 0.0491, 0.008, 0.0094, 0.0468, 0.0013]))
Row(prediction=5.0, features=DenseVector([30.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0074, 0.1645, 0.0261, 0.1956, 0.0082, 0.3697, 0.0789, 0.0166, 0.0185, 0.0491, 0.008, 0.0094, 0.0468, 0.0013]))
Row(prediction=5.0, features=DenseVector([30.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0074, 0.1645, 0.0261, 0.1956, 0.0082, 0.3697, 0.0789, 0.0166, 0.0185, 0.0491, 0.008, 0.0094, 0.0468, 0.0013]))
Row(prediction=5.0, features=DenseVector([30.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0074, 0.1645, 0.0261, 0.1956, 0.0082, 0.3697, 0.0789, 0.0166, 0.0185, 0.0491, 0.008, 0.0094, 0.0468, 0.0013]))
Row(prediction=5.0, features=DenseVector([30.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0074, 0.1645, 0.0261, 0.1956, 0.0082, 0.3697, 0.0789, 0.0166, 0.0185, 0.0491, 0.008, 0.0094, 0.0468, 0.0013]))
Row(prediction=3.0, features=DenseVector([30.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.0077, 0.1869, 0.0312, 0.274, 0.0064, 0.2666, 0.0514, 0.0263, 0.0288, 0.0471, 0.003, 0.0133, 0.0557, 0.0016]))
Row(prediction=3.0, features=DenseVector([30.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.0077, 0.1869, 0.0312, 0.274, 0.0064, 0.2666, 0.0514, 0.0263, 0.0288, 0.0471, 0.003, 0.0133, 0.0557, 0.0016]))
Row(prediction=5.0, features=DenseVector([30.0, 15.0, 40.0]), label=5.0, probability=DenseVector([0.0054, 0.1018, 0.001, 0.0845, 0.0073, 0.6048, 0.0918, 0.0008, 0.0022, 0.0529, 0.0074, 0.0176, 0.0225, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0069, 0.123, 0.0049, 0.1048, 0.0068, 0.5649, 0.0979, 0.005, 0.0059, 0.0409, 0.0076, 0.0018, 0.0296, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0069, 0.123, 0.0049, 0.1048, 0.0068, 0.5649, 0.0979, 0.005, 0.0059, 0.0409, 0.0076, 0.0018, 0.0296, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0069, 0.123, 0.0049, 0.1048, 0.0068, 0.5649, 0.0979, 0.005, 0.0059, 0.0409, 0.0076, 0.0018, 0.0296, 0.0]))
Row(prediction=5.0, features=DenseVector([30.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0074, 0.1645, 0.0261, 0.1956, 0.0082, 0.3697, 0.0789, 0.0166, 0.0185, 0.0491, 0.008, 0.0094, 0.0468, 0.0013]))
Row(prediction=5.0, features=DenseVector([30.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0074, 0.1645, 0.0261, 0.1956, 0.0082, 0.3697, 0.0789, 0.0166, 0.0185, 0.0491, 0.008, 0.0094, 0.0468, 0.0013]))
Row(prediction=3.0, features=DenseVector([30.0, 15.0, 43.0]), label=5.0, probability=DenseVector([0.0077, 0.1869, 0.0312, 0.274, 0.0064, 0.2666, 0.0514, 0.0263, 0.0288, 0.0471, 0.003, 0.0133, 0.0557, 0.0016]))
Row(prediction=1.0, features=DenseVector([30.0, 16.0, 37.0]), label=5.0, probability=DenseVector([0.0055, 0.2865, 0.0005, 0.125, 0.0157, 0.258, 0.1438, 0.0007, 0.0032, 0.1096, 0.0074, 0.0005, 0.0436, 0.0]))
Row(prediction=3.0, features=DenseVector([30.0, 16.0, 46.0]), label=5.0, probability=DenseVector([0.009, 0.1976, 0.0403, 0.3667, 0.0049, 0.1619, 0.0269, 0.0319, 0.0353, 0.0449, 0.0027, 0.016, 0.0592, 0.0029]))
Row(prediction=3.0, features=DenseVector([30.0, 17.0, 47.0]), label=5.0, probability=DenseVector([0.0094, 0.1947, 0.0412, 0.3791, 0.005, 0.1456, 0.0239, 0.0347, 0.0385, 0.0453, 0.0027, 0.0167, 0.0603, 0.0029]))
Row(prediction=1.0, features=DenseVector([30.0, 19.0, 33.0]), label=9.0, probability=DenseVector([0.0086, 0.2773, 0.0005, 0.1119, 0.0171, 0.2518, 0.1767, 0.0013, 0.0035, 0.1002, 0.0096, 0.0003, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([30.0, 20.0, 24.0]), label=6.0, probability=DenseVector([0.0053, 0.3178, 0.0002, 0.1092, 0.0156, 0.2447, 0.1527, 0.0009, 0.003, 0.1009, 0.0073, 0.0003, 0.042, 0.0]))
Row(prediction=1.0, features=DenseVector([30.0, 20.0, 33.0]), label=9.0, probability=DenseVector([0.0086, 0.2773, 0.0005, 0.1119, 0.0171, 0.2518, 0.1767, 0.0013, 0.0035, 0.1002, 0.0096, 0.0003, 0.0412, 0.0]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 50.0]), label=12.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=6.0, features=DenseVector([30.0, 23.0, 37.0]), label=6.0, probability=DenseVector([0.0467, 0.1673, 0.0084, 0.0477, 0.0333, 0.0289, 0.474, 0.0059, 0.0105, 0.0916, 0.0534, 0.0015, 0.0306, 0.0002]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 55.0]), label=12.0, probability=DenseVector([0.009, 0.1821, 0.0487, 0.3785, 0.0036, 0.0217, 0.0131, 0.0655, 0.0849, 0.0705, 0.0011, 0.0378, 0.0816, 0.0019]))
Row(prediction=6.0, features=DenseVector([30.0, 25.0, 31.0]), label=6.0, probability=DenseVector([0.0456, 0.1677, 0.0064, 0.0461, 0.0329, 0.0289, 0.4865, 0.0059, 0.0083, 0.0884, 0.0526, 0.0012, 0.0293, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 25.0, 39.0]), label=12.0, probability=DenseVector([0.0548, 0.0775, 0.0137, 0.0268, 0.0367, 0.088, 0.5278, 0.0076, 0.0125, 0.0678, 0.0579, 0.002, 0.0265, 0.0004]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 51.0]), label=11.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=6.0, features=DenseVector([30.0, 27.0, 41.0]), label=6.0, probability=DenseVector([0.0605, 0.0985, 0.0379, 0.0569, 0.0412, 0.0679, 0.4113, 0.0203, 0.026, 0.0768, 0.059, 0.0069, 0.0349, 0.0017]))
Row(prediction=6.0, features=DenseVector([30.0, 27.0, 42.0]), label=6.0, probability=DenseVector([0.0372, 0.1516, 0.069, 0.1751, 0.0307, 0.0903, 0.186, 0.0377, 0.044, 0.0705, 0.0287, 0.0152, 0.0523, 0.0117]))
Row(prediction=6.0, features=DenseVector([30.0, 29.0, 36.0]), label=6.0, probability=DenseVector([0.0623, 0.0528, 0.0088, 0.0117, 0.0409, 0.0115, 0.5939, 0.008, 0.0109, 0.099, 0.0742, 0.0036, 0.0224, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 29.0, 39.0]), label=9.0, probability=DenseVector([0.0598, 0.058, 0.0138, 0.0147, 0.0402, 0.0522, 0.5697, 0.0082, 0.0128, 0.0775, 0.0658, 0.0021, 0.0247, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 30.0, 38.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 53.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 53.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=6.0, features=DenseVector([30.0, 31.0, 37.0]), label=6.0, probability=DenseVector([0.0631, 0.0522, 0.0088, 0.0115, 0.0424, 0.0115, 0.5967, 0.0078, 0.0109, 0.0899, 0.0751, 0.0079, 0.0221, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 31.0, 41.0]), label=9.0, probability=DenseVector([0.0605, 0.0985, 0.0379, 0.0569, 0.0412, 0.0679, 0.4113, 0.0203, 0.026, 0.0768, 0.059, 0.0069, 0.0349, 0.0017]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 52.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 53.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 53.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 53.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 53.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=6.0, features=DenseVector([30.0, 32.0, 32.0]), label=6.0, probability=DenseVector([0.0796, 0.0507, 0.0079, 0.0106, 0.0501, 0.0115, 0.5687, 0.0092, 0.0105, 0.0778, 0.1012, 0.0016, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 32.0, 33.0]), label=9.0, probability=DenseVector([0.0796, 0.0507, 0.0079, 0.0106, 0.0501, 0.0115, 0.5687, 0.0092, 0.0105, 0.0778, 0.1012, 0.0016, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 32.0, 36.0]), label=6.0, probability=DenseVector([0.0806, 0.0503, 0.0099, 0.0123, 0.0505, 0.0115, 0.5563, 0.0091, 0.0128, 0.0809, 0.1021, 0.0019, 0.0217, 0.0002]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 47.0]), label=1.0, probability=DenseVector([0.0233, 0.1805, 0.0954, 0.3166, 0.0131, 0.0475, 0.04, 0.0552, 0.0673, 0.0534, 0.0083, 0.0232, 0.0628, 0.0134]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 51.0]), label=5.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=12.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 53.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 54.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 54.0]), label=11.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 55.0]), label=11.0, probability=DenseVector([0.009, 0.1888, 0.0516, 0.3827, 0.0035, 0.0215, 0.0138, 0.0668, 0.0887, 0.0531, 0.0011, 0.0407, 0.0768, 0.0019]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 55.0]), label=9.0, probability=DenseVector([0.009, 0.1888, 0.0516, 0.3827, 0.0035, 0.0215, 0.0138, 0.0668, 0.0887, 0.0531, 0.0011, 0.0407, 0.0768, 0.0019]))
Row(prediction=6.0, features=DenseVector([30.0, 33.0, 27.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 33.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 33.0, 40.0]), label=6.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 46.0]), label=9.0, probability=DenseVector([0.0243, 0.1873, 0.0947, 0.295, 0.0148, 0.0474, 0.051, 0.0556, 0.0666, 0.0534, 0.0085, 0.0222, 0.0658, 0.0133]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 51.0]), label=11.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=13.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=11.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=11.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=11.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=12.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=6.0, features=DenseVector([30.0, 34.0, 31.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 34.0, 31.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 34.0, 39.0]), label=6.0, probability=DenseVector([0.0842, 0.0548, 0.0151, 0.0157, 0.0562, 0.0115, 0.5269, 0.0109, 0.0149, 0.0768, 0.1074, 0.0025, 0.0225, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 34.0, 39.0]), label=6.0, probability=DenseVector([0.0842, 0.0548, 0.0151, 0.0157, 0.0562, 0.0115, 0.5269, 0.0109, 0.0149, 0.0768, 0.1074, 0.0025, 0.0225, 0.0004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=5.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 54.0]), label=11.0, probability=DenseVector([0.0228, 0.1194, 0.1487, 0.2806, 0.0069, 0.0565, 0.0104, 0.0996, 0.1422, 0.0393, 0.0044, 0.035, 0.0295, 0.0048]))
Row(prediction=6.0, features=DenseVector([30.0, 35.0, 26.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 35.0, 28.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 35.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 35.0, 35.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 43.0]), label=9.0, probability=DenseVector([0.04, 0.0994, 0.1735, 0.1787, 0.0235, 0.0762, 0.0858, 0.0759, 0.0994, 0.0559, 0.017, 0.0249, 0.0318, 0.0181]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 50.0]), label=11.0, probability=DenseVector([0.0312, 0.113, 0.1561, 0.254, 0.0128, 0.087, 0.0194, 0.091, 0.1207, 0.0377, 0.0085, 0.03, 0.0316, 0.0069]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 51.0]), label=11.0, probability=DenseVector([0.0288, 0.1091, 0.1629, 0.2582, 0.0118, 0.091, 0.0169, 0.0874, 0.1222, 0.0377, 0.0082, 0.0292, 0.0293, 0.0071]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=13.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=9.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 54.0]), label=9.0, probability=DenseVector([0.0251, 0.1065, 0.1708, 0.2597, 0.0075, 0.0639, 0.0098, 0.1022, 0.1469, 0.0403, 0.0049, 0.0338, 0.0235, 0.0051]))
Row(prediction=6.0, features=DenseVector([30.0, 36.0, 22.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 36.0, 30.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 36.0, 30.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 36.0, 39.0]), label=6.0, probability=DenseVector([0.0842, 0.0548, 0.0151, 0.0157, 0.0562, 0.0115, 0.5269, 0.0109, 0.0149, 0.0768, 0.1074, 0.0025, 0.0225, 0.0004]))
Row(prediction=2.0, features=DenseVector([30.0, 36.0, 44.0]), label=9.0, probability=DenseVector([0.0367, 0.1042, 0.1945, 0.1927, 0.0187, 0.0723, 0.0391, 0.0829, 0.1106, 0.0546, 0.0128, 0.028, 0.0334, 0.0196]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0312, 0.113, 0.1561, 0.254, 0.0128, 0.087, 0.0194, 0.091, 0.1207, 0.0377, 0.0085, 0.03, 0.0316, 0.0069]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0288, 0.1091, 0.1629, 0.2582, 0.0118, 0.091, 0.0169, 0.0874, 0.1222, 0.0377, 0.0082, 0.0292, 0.0293, 0.0071]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0288, 0.1091, 0.1629, 0.2582, 0.0118, 0.091, 0.0169, 0.0874, 0.1222, 0.0377, 0.0082, 0.0292, 0.0293, 0.0071]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=13.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=13.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=11.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=6.0, features=DenseVector([30.0, 37.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 37.0, 41.0]), label=6.0, probability=DenseVector([0.0684, 0.0727, 0.0481, 0.0684, 0.0477, 0.037, 0.4218, 0.0247, 0.0341, 0.0643, 0.0759, 0.0068, 0.0264, 0.0037]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 43.0]), label=6.0, probability=DenseVector([0.04, 0.0994, 0.1735, 0.1787, 0.0235, 0.0762, 0.0858, 0.0759, 0.0994, 0.0559, 0.017, 0.0249, 0.0318, 0.0181]))
Row(prediction=2.0, features=DenseVector([30.0, 37.0, 46.0]), label=9.0, probability=DenseVector([0.0367, 0.1042, 0.1945, 0.1927, 0.0187, 0.0723, 0.0391, 0.0829, 0.1106, 0.0546, 0.0128, 0.028, 0.0334, 0.0196]))
Row(prediction=2.0, features=DenseVector([30.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.0367, 0.1042, 0.1945, 0.1927, 0.0187, 0.0723, 0.0391, 0.0829, 0.1106, 0.0546, 0.0128, 0.028, 0.0334, 0.0196]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=13.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=11.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 54.0]), label=3.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 43.0]), label=9.0, probability=DenseVector([0.04, 0.0994, 0.1735, 0.1787, 0.0235, 0.0762, 0.0858, 0.0759, 0.0994, 0.0559, 0.017, 0.0249, 0.0318, 0.0181]))
Row(prediction=2.0, features=DenseVector([30.0, 38.0, 44.0]), label=9.0, probability=DenseVector([0.0367, 0.1042, 0.1945, 0.1927, 0.0187, 0.0723, 0.0391, 0.0829, 0.1106, 0.0546, 0.0128, 0.028, 0.0334, 0.0196]))
Row(prediction=2.0, features=DenseVector([30.0, 38.0, 46.0]), label=9.0, probability=DenseVector([0.0367, 0.1042, 0.1945, 0.1927, 0.0187, 0.0723, 0.0391, 0.0829, 0.1106, 0.0546, 0.0128, 0.028, 0.0334, 0.0196]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=11.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=11.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=11.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=12.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=9.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 54.0]), label=3.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=6.0, features=DenseVector([30.0, 39.0, 28.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 39.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 39.0, 32.0]), label=6.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 49.0]), label=1.0, probability=DenseVector([0.0338, 0.1084, 0.1669, 0.2389, 0.0143, 0.086, 0.0198, 0.0933, 0.1218, 0.0395, 0.0093, 0.0317, 0.0295, 0.0069]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 50.0]), label=0.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=13.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=11.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=6.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=6.0, features=DenseVector([30.0, 40.0, 20.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 40.0, 22.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 40.0, 25.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 40.0, 27.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 40.0, 36.0]), label=6.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([30.0, 40.0, 46.0]), label=0.0, probability=DenseVector([0.0391, 0.0865, 0.2358, 0.1924, 0.0196, 0.0554, 0.0445, 0.0692, 0.1123, 0.0458, 0.0129, 0.0271, 0.0297, 0.0298]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 48.0]), label=6.0, probability=DenseVector([0.035, 0.0853, 0.2124, 0.2277, 0.0159, 0.0678, 0.0295, 0.0748, 0.1208, 0.0415, 0.0102, 0.028, 0.0261, 0.0249]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=1.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=13.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=6.0, features=DenseVector([30.0, 41.0, 23.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 41.0, 27.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=2.0, features=DenseVector([30.0, 41.0, 44.0]), label=3.0, probability=DenseVector([0.0414, 0.0853, 0.2308, 0.1843, 0.0234, 0.0495, 0.0476, 0.0664, 0.1089, 0.0579, 0.016, 0.0303, 0.0298, 0.0282]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.035, 0.0853, 0.2124, 0.2277, 0.0159, 0.0678, 0.0295, 0.0748, 0.1208, 0.0415, 0.0102, 0.028, 0.0261, 0.0249]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 49.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 49.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=13.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=9.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=11.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 53.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 53.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=6.0, features=DenseVector([30.0, 42.0, 22.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 42.0, 28.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 42.0, 29.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 42.0, 29.0]), label=6.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=2.0, features=DenseVector([30.0, 42.0, 46.0]), label=3.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=2.0, features=DenseVector([30.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=13.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=0.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=11.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 57.0]), label=9.0, probability=DenseVector([0.035, 0.0887, 0.1931, 0.2358, 0.017, 0.0642, 0.019, 0.0778, 0.1299, 0.0627, 0.0089, 0.028, 0.0281, 0.0117]))
Row(prediction=6.0, features=DenseVector([30.0, 43.0, 27.0]), label=6.0, probability=DenseVector([0.0869, 0.0646, 0.008, 0.0077, 0.0476, 0.0044, 0.5959, 0.0091, 0.0121, 0.0538, 0.0888, 0.0014, 0.0195, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 43.0, 27.0]), label=6.0, probability=DenseVector([0.0869, 0.0646, 0.008, 0.0077, 0.0476, 0.0044, 0.5959, 0.0091, 0.0121, 0.0538, 0.0888, 0.0014, 0.0195, 0.0002]))
Row(prediction=6.0, features=DenseVector([30.0, 43.0, 40.0]), label=9.0, probability=DenseVector([0.096, 0.0602, 0.0182, 0.0166, 0.0549, 0.0116, 0.5213, 0.0109, 0.0179, 0.0786, 0.0869, 0.0028, 0.0237, 0.0004]))
Row(prediction=2.0, features=DenseVector([30.0, 43.0, 43.0]), label=6.0, probability=DenseVector([0.0565, 0.0926, 0.1969, 0.1504, 0.0325, 0.0353, 0.1124, 0.0595, 0.0925, 0.0657, 0.0259, 0.0273, 0.0298, 0.0226]))
Row(prediction=2.0, features=DenseVector([30.0, 43.0, 46.0]), label=9.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=2.0, features=DenseVector([30.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 49.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=13.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=13.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=11.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=11.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=6.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 51.0]), label=13.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 51.0]), label=13.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 51.0]), label=11.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 52.0]), label=5.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 52.0]), label=9.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 57.0]), label=12.0, probability=DenseVector([0.035, 0.0887, 0.1931, 0.2358, 0.017, 0.0642, 0.019, 0.0778, 0.1299, 0.0627, 0.0089, 0.028, 0.0281, 0.0117]))
Row(prediction=6.0, features=DenseVector([30.0, 44.0, 27.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 44.0, 30.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 44.0, 40.0]), label=0.0, probability=DenseVector([0.1023, 0.0602, 0.0221, 0.0156, 0.0518, 0.0073, 0.5347, 0.0124, 0.0194, 0.0771, 0.0698, 0.0031, 0.0235, 0.0006]))
Row(prediction=6.0, features=DenseVector([30.0, 44.0, 41.0]), label=9.0, probability=DenseVector([0.0972, 0.0785, 0.0423, 0.037, 0.0552, 0.0132, 0.4431, 0.0207, 0.0268, 0.08, 0.0674, 0.0097, 0.0262, 0.0029]))
Row(prediction=6.0, features=DenseVector([30.0, 44.0, 42.0]), label=6.0, probability=DenseVector([0.0716, 0.0865, 0.1639, 0.1194, 0.0423, 0.0255, 0.1975, 0.0478, 0.0721, 0.0686, 0.036, 0.0223, 0.0266, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 44.0, 45.0]), label=9.0, probability=DenseVector([0.0414, 0.0879, 0.2375, 0.1805, 0.0225, 0.0375, 0.0507, 0.0684, 0.1113, 0.0589, 0.015, 0.0316, 0.0302, 0.0268]))
Row(prediction=2.0, features=DenseVector([30.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 48.0]), label=13.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=9.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 53.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=6.0, features=DenseVector([30.0, 45.0, 20.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 45.0, 26.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 45.0, 29.0]), label=6.0, probability=DenseVector([0.0933, 0.0646, 0.0119, 0.0067, 0.0446, 0.0001, 0.6093, 0.0105, 0.0136, 0.0523, 0.0717, 0.0017, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 45.0, 32.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 45.0, 33.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 45.0, 33.0]), label=6.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 45.0, 38.0]), label=6.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 47.0]), label=9.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=6.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=11.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=6.0, features=DenseVector([30.0, 46.0, 18.0]), label=6.0, probability=DenseVector([0.1034, 0.0635, 0.0119, 0.007, 0.0448, 0.0001, 0.609, 0.0109, 0.0155, 0.0486, 0.0659, 0.0018, 0.0171, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 46.0, 27.0]), label=6.0, probability=DenseVector([0.1034, 0.0635, 0.0119, 0.007, 0.0448, 0.0001, 0.609, 0.0109, 0.0155, 0.0486, 0.0659, 0.0018, 0.0171, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 46.0, 34.0]), label=6.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 46.0, 36.0]), label=6.0, probability=DenseVector([0.1118, 0.0541, 0.0164, 0.0139, 0.0487, 0.0072, 0.5563, 0.0112, 0.021, 0.0632, 0.0726, 0.0028, 0.0207, 0.0003]))
Row(prediction=6.0, features=DenseVector([30.0, 46.0, 37.0]), label=9.0, probability=DenseVector([0.1085, 0.0563, 0.0174, 0.0152, 0.0494, 0.0072, 0.548, 0.012, 0.02, 0.067, 0.0737, 0.0034, 0.0217, 0.0003]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 43.0]), label=6.0, probability=DenseVector([0.0486, 0.0859, 0.2647, 0.1193, 0.0288, 0.0125, 0.138, 0.0567, 0.0906, 0.0598, 0.0221, 0.0225, 0.0214, 0.0289]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 44.0]), label=11.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 44.0]), label=6.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 46.0]), label=9.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 46.0]), label=6.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 47.0]), label=6.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=9.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=6.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=6.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 49.0]), label=12.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 50.0]), label=6.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 51.0]), label=5.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 51.0]), label=13.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 53.0]), label=11.0, probability=DenseVector([0.0281, 0.0825, 0.2602, 0.2107, 0.0132, 0.0423, 0.0372, 0.0761, 0.1244, 0.0534, 0.0073, 0.0279, 0.0199, 0.0169]))
Row(prediction=6.0, features=DenseVector([30.0, 47.0, 19.0]), label=6.0, probability=DenseVector([0.1026, 0.061, 0.0137, 0.0107, 0.0419, 0.0001, 0.6268, 0.0128, 0.0195, 0.0451, 0.0471, 0.0025, 0.0158, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 47.0, 22.0]), label=6.0, probability=DenseVector([0.1026, 0.061, 0.0137, 0.0107, 0.0419, 0.0001, 0.6268, 0.0128, 0.0195, 0.0451, 0.0471, 0.0025, 0.0158, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 47.0, 27.0]), label=6.0, probability=DenseVector([0.1026, 0.061, 0.0137, 0.0107, 0.0419, 0.0001, 0.6268, 0.0128, 0.0195, 0.0451, 0.0471, 0.0025, 0.0158, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 47.0, 27.0]), label=6.0, probability=DenseVector([0.1026, 0.061, 0.0137, 0.0107, 0.0419, 0.0001, 0.6268, 0.0128, 0.0195, 0.0451, 0.0471, 0.0025, 0.0158, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 47.0, 27.0]), label=6.0, probability=DenseVector([0.1026, 0.061, 0.0137, 0.0107, 0.0419, 0.0001, 0.6268, 0.0128, 0.0195, 0.0451, 0.0471, 0.0025, 0.0158, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 47.0, 29.0]), label=6.0, probability=DenseVector([0.1026, 0.061, 0.0137, 0.0107, 0.0419, 0.0001, 0.6268, 0.0128, 0.0195, 0.0451, 0.0471, 0.0025, 0.0158, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 47.0, 30.0]), label=6.0, probability=DenseVector([0.1088, 0.0524, 0.0146, 0.0137, 0.045, 0.0072, 0.5986, 0.0134, 0.0202, 0.0535, 0.0523, 0.0027, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 47.0, 31.0]), label=6.0, probability=DenseVector([0.1088, 0.0524, 0.0146, 0.0137, 0.045, 0.0072, 0.5986, 0.0134, 0.0202, 0.0535, 0.0523, 0.0027, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.0851, 0.0639, 0.0802, 0.0394, 0.0477, 0.0073, 0.4726, 0.0235, 0.0425, 0.064, 0.0405, 0.0089, 0.0215, 0.0031]))
Row(prediction=6.0, features=DenseVector([30.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.0583, 0.0716, 0.2138, 0.0987, 0.0389, 0.0115, 0.2488, 0.0446, 0.071, 0.0578, 0.0274, 0.0185, 0.0181, 0.0208]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 45.0]), label=6.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=9.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=9.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=6.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=6.0, features=DenseVector([30.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.0792, 0.0485, 0.02, 0.0237, 0.0332, 0.0, 0.6662, 0.0181, 0.0296, 0.0373, 0.023, 0.0057, 0.0152, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 48.0, 36.0]), label=6.0, probability=DenseVector([0.0785, 0.0429, 0.0361, 0.0391, 0.0325, 0.0, 0.5937, 0.0158, 0.0518, 0.0519, 0.0258, 0.0079, 0.0238, 0.0005]))
Row(prediction=6.0, features=DenseVector([30.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0823, 0.0444, 0.0434, 0.0451, 0.0338, 0.0, 0.5571, 0.0152, 0.0594, 0.0573, 0.0284, 0.0095, 0.0236, 0.0005]))
Row(prediction=6.0, features=DenseVector([30.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.0816, 0.0461, 0.0475, 0.0482, 0.0352, 0.0001, 0.5446, 0.0158, 0.0606, 0.0593, 0.0258, 0.01, 0.0245, 0.0007]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.0382, 0.0777, 0.283, 0.1235, 0.0256, 0.0124, 0.149, 0.0554, 0.0919, 0.055, 0.0169, 0.0222, 0.0192, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=6.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 50.0]), label=11.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 62.0]), label=9.0, probability=DenseVector([0.0252, 0.0876, 0.2415, 0.1827, 0.024, 0.0319, 0.0362, 0.0692, 0.1212, 0.0965, 0.0103, 0.0282, 0.0301, 0.0155]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.0771, 0.0479, 0.0179, 0.0212, 0.0324, 0.0, 0.6807, 0.0172, 0.0266, 0.036, 0.0227, 0.0053, 0.0146, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0792, 0.0485, 0.02, 0.0237, 0.0332, 0.0, 0.6662, 0.0181, 0.0296, 0.0373, 0.023, 0.0057, 0.0152, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0792, 0.0485, 0.02, 0.0237, 0.0332, 0.0, 0.6662, 0.0181, 0.0296, 0.0373, 0.023, 0.0057, 0.0152, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0792, 0.0485, 0.02, 0.0237, 0.0332, 0.0, 0.6662, 0.0181, 0.0296, 0.0373, 0.023, 0.0057, 0.0152, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.0792, 0.0485, 0.02, 0.0237, 0.0332, 0.0, 0.6662, 0.0181, 0.0296, 0.0373, 0.023, 0.0057, 0.0152, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.0785, 0.0429, 0.0361, 0.0391, 0.0325, 0.0, 0.5937, 0.0158, 0.0518, 0.0519, 0.0258, 0.0079, 0.0238, 0.0005]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.0785, 0.0429, 0.0361, 0.0391, 0.0325, 0.0, 0.5937, 0.0158, 0.0518, 0.0519, 0.0258, 0.0079, 0.0238, 0.0005]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0771, 0.0409, 0.0461, 0.0472, 0.0319, 0.0, 0.5617, 0.0149, 0.063, 0.0574, 0.0265, 0.0098, 0.0232, 0.0005]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0771, 0.0409, 0.0461, 0.0472, 0.0319, 0.0, 0.5617, 0.0149, 0.063, 0.0574, 0.0265, 0.0098, 0.0232, 0.0005]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0764, 0.0425, 0.0501, 0.0503, 0.0333, 0.0001, 0.5492, 0.0156, 0.0642, 0.0593, 0.0239, 0.0103, 0.024, 0.0007]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0756, 0.0434, 0.0557, 0.0516, 0.034, 0.0001, 0.5384, 0.0168, 0.0666, 0.0591, 0.0242, 0.0103, 0.0234, 0.0008]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.0756, 0.0434, 0.0557, 0.0516, 0.034, 0.0001, 0.5384, 0.0168, 0.0666, 0.0591, 0.0242, 0.0103, 0.0234, 0.0008]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 41.0]), label=9.0, probability=DenseVector([0.0733, 0.0543, 0.0902, 0.0561, 0.039, 0.0002, 0.4856, 0.0252, 0.0625, 0.0563, 0.0243, 0.0118, 0.0178, 0.0034]))
Row(prediction=6.0, features=DenseVector([30.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0583, 0.0716, 0.2138, 0.0987, 0.0389, 0.0115, 0.2488, 0.0446, 0.071, 0.0578, 0.0274, 0.0185, 0.0181, 0.0208]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.0382, 0.0777, 0.283, 0.1235, 0.0256, 0.0124, 0.149, 0.0554, 0.0919, 0.055, 0.0169, 0.0222, 0.0192, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 45.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 45.0]), label=6.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 47.0]), label=6.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 48.0]), label=5.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 12.0]), label=6.0, probability=DenseVector([0.0771, 0.0479, 0.0179, 0.0212, 0.0324, 0.0, 0.6807, 0.0172, 0.0266, 0.036, 0.0227, 0.0053, 0.0146, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 25.0]), label=6.0, probability=DenseVector([0.0771, 0.0479, 0.0179, 0.0212, 0.0324, 0.0, 0.6807, 0.0172, 0.0266, 0.036, 0.0227, 0.0053, 0.0146, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 27.0]), label=6.0, probability=DenseVector([0.0771, 0.0479, 0.0179, 0.0212, 0.0324, 0.0, 0.6807, 0.0172, 0.0266, 0.036, 0.0227, 0.0053, 0.0146, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 27.0]), label=6.0, probability=DenseVector([0.0771, 0.0479, 0.0179, 0.0212, 0.0324, 0.0, 0.6807, 0.0172, 0.0266, 0.036, 0.0227, 0.0053, 0.0146, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 28.0]), label=6.0, probability=DenseVector([0.0771, 0.0479, 0.0179, 0.0212, 0.0324, 0.0, 0.6807, 0.0172, 0.0266, 0.036, 0.0227, 0.0053, 0.0146, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0792, 0.0485, 0.02, 0.0237, 0.0332, 0.0, 0.6662, 0.0181, 0.0296, 0.0373, 0.023, 0.0057, 0.0152, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0792, 0.0485, 0.02, 0.0237, 0.0332, 0.0, 0.6662, 0.0181, 0.0296, 0.0373, 0.023, 0.0057, 0.0152, 0.0004]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.0785, 0.0429, 0.0361, 0.0391, 0.0325, 0.0, 0.5937, 0.0158, 0.0518, 0.0519, 0.0258, 0.0079, 0.0238, 0.0005]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.0785, 0.0429, 0.0361, 0.0391, 0.0325, 0.0, 0.5937, 0.0158, 0.0518, 0.0519, 0.0258, 0.0079, 0.0238, 0.0005]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0756, 0.0434, 0.0557, 0.0516, 0.034, 0.0001, 0.5384, 0.0168, 0.0666, 0.0591, 0.0242, 0.0103, 0.0234, 0.0008]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 42.0]), label=6.0, probability=DenseVector([0.0583, 0.0716, 0.2138, 0.0987, 0.0389, 0.0115, 0.2488, 0.0446, 0.071, 0.0578, 0.0274, 0.0185, 0.0181, 0.0208]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 43.0]), label=13.0, probability=DenseVector([0.0382, 0.0777, 0.283, 0.1235, 0.0256, 0.0124, 0.149, 0.0554, 0.0919, 0.055, 0.0169, 0.0222, 0.0192, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 43.0]), label=6.0, probability=DenseVector([0.0382, 0.0777, 0.283, 0.1235, 0.0256, 0.0124, 0.149, 0.0554, 0.0919, 0.055, 0.0169, 0.0222, 0.0192, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 44.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 44.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 44.0]), label=6.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 47.0]), label=13.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 49.0]), label=0.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 50.0]), label=6.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 52.0]), label=6.0, probability=DenseVector([0.0242, 0.0791, 0.2449, 0.1826, 0.0188, 0.0297, 0.0393, 0.0688, 0.116, 0.1232, 0.0078, 0.0262, 0.0241, 0.0155]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 58.0]), label=9.0, probability=DenseVector([0.0242, 0.0791, 0.2449, 0.1826, 0.0188, 0.0297, 0.0393, 0.0688, 0.116, 0.1232, 0.0078, 0.0262, 0.0241, 0.0155]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 23.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 25.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 28.0]), label=8.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 42.0]), label=13.0, probability=DenseVector([0.0361, 0.0664, 0.2936, 0.1214, 0.0288, 0.0117, 0.1788, 0.0482, 0.0766, 0.0646, 0.0156, 0.0198, 0.0162, 0.0223]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0361, 0.0664, 0.2936, 0.1214, 0.0288, 0.0117, 0.1788, 0.0482, 0.0766, 0.0646, 0.0156, 0.0198, 0.0162, 0.0223]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 43.0]), label=6.0, probability=DenseVector([0.0327, 0.0665, 0.3108, 0.1287, 0.0255, 0.012, 0.1587, 0.0482, 0.077, 0.0626, 0.0152, 0.0185, 0.0156, 0.0281]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 45.0]), label=6.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 46.0]), label=0.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 46.0]), label=6.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 50.0]), label=11.0, probability=DenseVector([0.0265, 0.0712, 0.2979, 0.1779, 0.0187, 0.0226, 0.0789, 0.0619, 0.1024, 0.0696, 0.0103, 0.0224, 0.018, 0.0218]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 54.0]), label=9.0, probability=DenseVector([0.0234, 0.068, 0.2495, 0.1725, 0.0241, 0.0284, 0.0656, 0.0598, 0.098, 0.1453, 0.0104, 0.02, 0.0224, 0.0123]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 23.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 24.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 32.0]), label=0.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 32.0]), label=0.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 35.0]), label=0.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 39.0]), label=11.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 40.0]), label=3.0, probability=DenseVector([0.0589, 0.0313, 0.0839, 0.0559, 0.0266, 0.0001, 0.5238, 0.0225, 0.0852, 0.0575, 0.0134, 0.0193, 0.0211, 0.0005]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 40.0]), label=6.0, probability=DenseVector([0.0589, 0.0313, 0.0839, 0.0559, 0.0266, 0.0001, 0.5238, 0.0225, 0.0852, 0.0575, 0.0134, 0.0193, 0.0211, 0.0005]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0361, 0.0664, 0.2936, 0.1214, 0.0288, 0.0117, 0.1788, 0.0482, 0.0766, 0.0646, 0.0156, 0.0198, 0.0162, 0.0223]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 43.0]), label=6.0, probability=DenseVector([0.0327, 0.0665, 0.3108, 0.1287, 0.0255, 0.012, 0.1587, 0.0482, 0.077, 0.0626, 0.0152, 0.0185, 0.0156, 0.0281]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 45.0]), label=11.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 52.0]), label=9.0, probability=DenseVector([0.0234, 0.068, 0.2495, 0.1725, 0.0241, 0.0284, 0.0656, 0.0598, 0.098, 0.1453, 0.0104, 0.02, 0.0224, 0.0123]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 17.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 24.0]), label=0.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 28.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 33.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 39.0]), label=9.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 40.0]), label=11.0, probability=DenseVector([0.0586, 0.0311, 0.0804, 0.0554, 0.0272, 0.0001, 0.5353, 0.0201, 0.0778, 0.0604, 0.0124, 0.0199, 0.0205, 0.0009]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 41.0]), label=9.0, probability=DenseVector([0.0562, 0.042, 0.115, 0.0598, 0.0322, 0.0002, 0.4825, 0.0285, 0.0737, 0.0576, 0.0125, 0.0214, 0.015, 0.0035]))
Row(prediction=2.0, features=DenseVector([30.0, 53.0, 45.0]), label=6.0, probability=DenseVector([0.0292, 0.0638, 0.3375, 0.1382, 0.021, 0.006, 0.1183, 0.0523, 0.0875, 0.0605, 0.0121, 0.0221, 0.0162, 0.0353]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 16.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 24.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 26.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 26.0]), label=0.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 27.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 30.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 30.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 30.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 39.0]), label=9.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 39.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 54.0, 42.0]), label=6.0, probability=DenseVector([0.0399, 0.0666, 0.2671, 0.1133, 0.0319, 0.0117, 0.2094, 0.0468, 0.0757, 0.0633, 0.0151, 0.0202, 0.0169, 0.0222]))
Row(prediction=2.0, features=DenseVector([30.0, 54.0, 51.0]), label=6.0, probability=DenseVector([0.0262, 0.0711, 0.2664, 0.172, 0.026, 0.0226, 0.0715, 0.062, 0.1048, 0.1046, 0.0116, 0.0215, 0.019, 0.0206]))
Row(prediction=6.0, features=DenseVector([30.0, 55.0, 27.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 55.0, 31.0]), label=8.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 55.0, 33.0]), label=8.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.0646, 0.0339, 0.0297, 0.0464, 0.0221, 0.0, 0.65, 0.0137, 0.0615, 0.0426, 0.0074, 0.0074, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.0646, 0.0339, 0.0297, 0.0464, 0.0221, 0.0, 0.65, 0.0137, 0.0615, 0.0426, 0.0074, 0.0074, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 55.0, 37.0]), label=6.0, probability=DenseVector([0.063, 0.0313, 0.0412, 0.0573, 0.0214, 0.0, 0.6029, 0.012, 0.0755, 0.0554, 0.0088, 0.0102, 0.021, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 56.0, 15.0]), label=6.0, probability=DenseVector([0.0578, 0.0356, 0.0113, 0.026, 0.0243, 0.0, 0.7501, 0.0162, 0.0263, 0.0297, 0.0051, 0.0055, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 56.0, 25.0]), label=6.0, probability=DenseVector([0.0578, 0.0356, 0.0113, 0.026, 0.0243, 0.0, 0.7501, 0.0162, 0.0263, 0.0297, 0.0051, 0.0055, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 56.0, 31.0]), label=6.0, probability=DenseVector([0.0598, 0.0362, 0.0133, 0.0286, 0.0251, 0.0, 0.7356, 0.017, 0.0294, 0.031, 0.0053, 0.0058, 0.0128, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 56.0, 35.0]), label=6.0, probability=DenseVector([0.0596, 0.0311, 0.0284, 0.0439, 0.0198, 0.0, 0.6703, 0.0124, 0.0589, 0.0428, 0.0073, 0.0068, 0.0185, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 56.0, 40.0]), label=6.0, probability=DenseVector([0.0551, 0.0344, 0.0624, 0.0468, 0.0246, 0.0001, 0.596, 0.016, 0.0601, 0.0598, 0.0101, 0.015, 0.018, 0.0017]))
Row(prediction=6.0, features=DenseVector([30.0, 57.0, 14.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 57.0, 19.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 57.0, 31.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 57.0, 33.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 57.0, 35.0]), label=6.0, probability=DenseVector([0.0504, 0.0281, 0.0162, 0.0238, 0.0172, 0.0, 0.7591, 0.0108, 0.031, 0.0396, 0.0065, 0.0046, 0.0126, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 57.0, 36.0]), label=6.0, probability=DenseVector([0.0502, 0.0275, 0.0178, 0.0266, 0.0171, 0.0, 0.744, 0.0099, 0.0338, 0.0469, 0.0072, 0.0053, 0.0135, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 57.0, 37.0]), label=6.0, probability=DenseVector([0.0498, 0.0268, 0.0242, 0.0324, 0.0167, 0.0, 0.7222, 0.0092, 0.0415, 0.0494, 0.0075, 0.0067, 0.0133, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 58.0, 24.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 58.0, 26.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 58.0, 27.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 58.0, 27.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 58.0, 38.0]), label=6.0, probability=DenseVector([0.0498, 0.0268, 0.0242, 0.0324, 0.0167, 0.0, 0.7222, 0.0092, 0.0415, 0.0494, 0.0075, 0.0067, 0.0133, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 59.0, 29.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 59.0, 34.0]), label=0.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 59.0, 39.0]), label=6.0, probability=DenseVector([0.048, 0.0259, 0.0242, 0.0319, 0.0167, 0.0, 0.7281, 0.0088, 0.0405, 0.0485, 0.0073, 0.0067, 0.0132, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 59.0, 48.0]), label=6.0, probability=DenseVector([0.024, 0.0698, 0.228, 0.1645, 0.0279, 0.0181, 0.0925, 0.0566, 0.0978, 0.1425, 0.0116, 0.0208, 0.0194, 0.0264]))
Row(prediction=6.0, features=DenseVector([30.0, 60.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 60.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 60.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 60.0, 43.0]), label=6.0, probability=DenseVector([0.0352, 0.0643, 0.2452, 0.1104, 0.0285, 0.0118, 0.2456, 0.0425, 0.0726, 0.0688, 0.0137, 0.0181, 0.016, 0.0274]))
Row(prediction=9.0, features=DenseVector([30.0, 60.0, 55.0]), label=9.0, probability=DenseVector([0.0215, 0.0683, 0.1795, 0.159, 0.0328, 0.0283, 0.0776, 0.056, 0.0967, 0.2161, 0.0111, 0.0183, 0.0243, 0.0106]))
Row(prediction=6.0, features=DenseVector([30.0, 61.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 61.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 61.0, 29.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 61.0, 38.0]), label=6.0, probability=DenseVector([0.048, 0.0259, 0.0242, 0.0319, 0.0167, 0.0, 0.7281, 0.0088, 0.0405, 0.0485, 0.0073, 0.0067, 0.0132, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 62.0, 10.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 62.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 62.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 62.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 62.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 62.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 62.0, 31.0]), label=9.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 62.0, 33.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 62.0, 38.0]), label=6.0, probability=DenseVector([0.048, 0.0259, 0.0242, 0.0319, 0.0167, 0.0, 0.7281, 0.0088, 0.0405, 0.0485, 0.0073, 0.0067, 0.0132, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 62.0, 41.0]), label=9.0, probability=DenseVector([0.0521, 0.0443, 0.0996, 0.0579, 0.0304, 0.0002, 0.5337, 0.022, 0.0601, 0.0564, 0.0103, 0.0139, 0.015, 0.0043]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 4.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 11.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 17.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 63.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=5.0, features=DenseVector([31.0, 3.0, 41.0]), label=9.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=3.0, features=DenseVector([31.0, 9.0, 49.0]), label=5.0, probability=DenseVector([0.0107, 0.173, 0.0649, 0.3014, 0.0063, 0.2201, 0.0106, 0.0413, 0.0494, 0.0451, 0.0046, 0.0192, 0.0497, 0.0036]))
Row(prediction=5.0, features=DenseVector([31.0, 10.0, 46.0]), label=9.0, probability=DenseVector([0.0084, 0.1584, 0.0517, 0.2406, 0.0076, 0.3056, 0.0221, 0.0267, 0.0321, 0.0727, 0.005, 0.0151, 0.0504, 0.0035]))
Row(prediction=5.0, features=DenseVector([31.0, 11.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 11.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 12.0, 39.0]), label=5.0, probability=DenseVector([0.0045, 0.1155, 0.0032, 0.0839, 0.0079, 0.5884, 0.0777, 0.0007, 0.0026, 0.0695, 0.0035, 0.018, 0.0245, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 12.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 12.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 12.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 12.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 12.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 12.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 12.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 12.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 38.0]), label=12.0, probability=DenseVector([0.0046, 0.2634, 0.0027, 0.1176, 0.015, 0.3122, 0.1175, 0.0006, 0.0037, 0.1181, 0.0035, 0.0009, 0.0402, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 39.0]), label=5.0, probability=DenseVector([0.0045, 0.1155, 0.0032, 0.0839, 0.0079, 0.5884, 0.0777, 0.0007, 0.0026, 0.0695, 0.0035, 0.018, 0.0245, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 39.0]), label=5.0, probability=DenseVector([0.0045, 0.1155, 0.0032, 0.0839, 0.0079, 0.5884, 0.0777, 0.0007, 0.0026, 0.0695, 0.0035, 0.018, 0.0245, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.0074, 0.1481, 0.0426, 0.1913, 0.009, 0.3826, 0.0323, 0.0211, 0.0255, 0.0738, 0.0053, 0.0127, 0.0461, 0.0022]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.0074, 0.1481, 0.0426, 0.1913, 0.009, 0.3826, 0.0323, 0.0211, 0.0255, 0.0738, 0.0053, 0.0127, 0.0461, 0.0022]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.0074, 0.1481, 0.0426, 0.1913, 0.009, 0.3826, 0.0323, 0.0211, 0.0255, 0.0738, 0.0053, 0.0127, 0.0461, 0.0022]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.0074, 0.1481, 0.0426, 0.1913, 0.009, 0.3826, 0.0323, 0.0211, 0.0255, 0.0738, 0.0053, 0.0127, 0.0461, 0.0022]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 44.0]), label=5.0, probability=DenseVector([0.008, 0.1543, 0.0513, 0.2145, 0.008, 0.3423, 0.0224, 0.0243, 0.0298, 0.0738, 0.005, 0.0146, 0.0482, 0.0035]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 44.0]), label=5.0, probability=DenseVector([0.008, 0.1543, 0.0513, 0.2145, 0.008, 0.3423, 0.0224, 0.0243, 0.0298, 0.0738, 0.005, 0.0146, 0.0482, 0.0035]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 45.0]), label=5.0, probability=DenseVector([0.008, 0.1543, 0.0513, 0.2145, 0.008, 0.3423, 0.0224, 0.0243, 0.0298, 0.0738, 0.005, 0.0146, 0.0482, 0.0035]))
Row(prediction=5.0, features=DenseVector([31.0, 14.0, 46.0]), label=5.0, probability=DenseVector([0.0084, 0.1584, 0.0517, 0.2406, 0.0076, 0.3056, 0.0221, 0.0267, 0.0321, 0.0727, 0.005, 0.0151, 0.0504, 0.0035]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 43.0]), label=5.0, probability=DenseVector([0.0074, 0.1481, 0.0426, 0.1913, 0.009, 0.3826, 0.0323, 0.0211, 0.0255, 0.0738, 0.0053, 0.0127, 0.0461, 0.0022]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 44.0]), label=5.0, probability=DenseVector([0.008, 0.1543, 0.0513, 0.2145, 0.008, 0.3423, 0.0224, 0.0243, 0.0298, 0.0738, 0.005, 0.0146, 0.0482, 0.0035]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 45.0]), label=5.0, probability=DenseVector([0.008, 0.1543, 0.0513, 0.2145, 0.008, 0.3423, 0.0224, 0.0243, 0.0298, 0.0738, 0.005, 0.0146, 0.0482, 0.0035]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 45.0]), label=5.0, probability=DenseVector([0.008, 0.1543, 0.0513, 0.2145, 0.008, 0.3423, 0.0224, 0.0243, 0.0298, 0.0738, 0.005, 0.0146, 0.0482, 0.0035]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 45.0]), label=5.0, probability=DenseVector([0.008, 0.1543, 0.0513, 0.2145, 0.008, 0.3423, 0.0224, 0.0243, 0.0298, 0.0738, 0.005, 0.0146, 0.0482, 0.0035]))
Row(prediction=5.0, features=DenseVector([31.0, 16.0, 38.0]), label=5.0, probability=DenseVector([0.0046, 0.2634, 0.0027, 0.1176, 0.015, 0.3122, 0.1175, 0.0006, 0.0037, 0.1181, 0.0035, 0.0009, 0.0402, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 16.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 16.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 16.0, 42.0]), label=5.0, probability=DenseVector([0.0058, 0.1349, 0.0374, 0.135, 0.009, 0.4825, 0.0376, 0.0114, 0.0151, 0.0744, 0.0051, 0.009, 0.0408, 0.002]))
Row(prediction=5.0, features=DenseVector([31.0, 16.0, 43.0]), label=5.0, probability=DenseVector([0.0074, 0.1481, 0.0426, 0.1913, 0.009, 0.3826, 0.0323, 0.0211, 0.0255, 0.0738, 0.0053, 0.0127, 0.0461, 0.0022]))
Row(prediction=5.0, features=DenseVector([31.0, 16.0, 43.0]), label=5.0, probability=DenseVector([0.0074, 0.1481, 0.0426, 0.1913, 0.009, 0.3826, 0.0323, 0.0211, 0.0255, 0.0738, 0.0053, 0.0127, 0.0461, 0.0022]))
Row(prediction=5.0, features=DenseVector([31.0, 16.0, 43.0]), label=5.0, probability=DenseVector([0.0074, 0.1481, 0.0426, 0.1913, 0.009, 0.3826, 0.0323, 0.0211, 0.0255, 0.0738, 0.0053, 0.0127, 0.0461, 0.0022]))
Row(prediction=5.0, features=DenseVector([31.0, 16.0, 46.0]), label=5.0, probability=DenseVector([0.0084, 0.1584, 0.0517, 0.2406, 0.0076, 0.3056, 0.0221, 0.0267, 0.0321, 0.0727, 0.005, 0.0151, 0.0504, 0.0035]))
Row(prediction=5.0, features=DenseVector([31.0, 18.0, 43.0]), label=5.0, probability=DenseVector([0.0074, 0.1481, 0.0426, 0.1913, 0.009, 0.3826, 0.0323, 0.0211, 0.0255, 0.0738, 0.0053, 0.0127, 0.0461, 0.0022]))
Row(prediction=3.0, features=DenseVector([31.0, 18.0, 48.0]), label=1.0, probability=DenseVector([0.009, 0.1737, 0.0465, 0.2907, 0.0057, 0.2419, 0.0129, 0.0388, 0.0461, 0.061, 0.0035, 0.0168, 0.0512, 0.0021]))
Row(prediction=3.0, features=DenseVector([31.0, 18.0, 49.0]), label=5.0, probability=DenseVector([0.0107, 0.173, 0.0649, 0.3014, 0.0063, 0.2201, 0.0106, 0.0413, 0.0494, 0.0451, 0.0046, 0.0192, 0.0497, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 19.0, 48.0]), label=5.0, probability=DenseVector([0.009, 0.1737, 0.0465, 0.2907, 0.0057, 0.2419, 0.0129, 0.0388, 0.0461, 0.061, 0.0035, 0.0168, 0.0512, 0.0021]))
Row(prediction=5.0, features=DenseVector([31.0, 20.0, 41.0]), label=6.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 20.0, 44.0]), label=12.0, probability=DenseVector([0.008, 0.1543, 0.0513, 0.2145, 0.008, 0.3423, 0.0224, 0.0243, 0.0298, 0.0738, 0.005, 0.0146, 0.0482, 0.0035]))
Row(prediction=3.0, features=DenseVector([31.0, 20.0, 50.0]), label=12.0, probability=DenseVector([0.0107, 0.173, 0.0649, 0.3014, 0.0063, 0.2201, 0.0106, 0.0413, 0.0494, 0.0451, 0.0046, 0.0192, 0.0497, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 21.0, 49.0]), label=9.0, probability=DenseVector([0.0107, 0.173, 0.0649, 0.3014, 0.0063, 0.2201, 0.0106, 0.0413, 0.0494, 0.0451, 0.0046, 0.0192, 0.0497, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 22.0, 48.0]), label=5.0, probability=DenseVector([0.013, 0.1868, 0.0644, 0.3364, 0.0095, 0.1222, 0.0164, 0.0467, 0.0567, 0.0609, 0.006, 0.0218, 0.0558, 0.0033]))
Row(prediction=3.0, features=DenseVector([31.0, 22.0, 56.0]), label=9.0, probability=DenseVector([0.007, 0.1851, 0.0491, 0.3739, 0.0034, 0.0347, 0.0112, 0.0644, 0.0797, 0.0715, 0.0009, 0.0364, 0.0804, 0.0024]))
Row(prediction=6.0, features=DenseVector([31.0, 23.0, 41.0]), label=6.0, probability=DenseVector([0.059, 0.1004, 0.0425, 0.051, 0.0427, 0.1203, 0.3512, 0.015, 0.0229, 0.0924, 0.0571, 0.007, 0.0362, 0.0024]))
Row(prediction=3.0, features=DenseVector([31.0, 25.0, 51.0]), label=9.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 26.0, 51.0]), label=12.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 27.0, 46.0]), label=12.0, probability=DenseVector([0.0247, 0.1772, 0.0851, 0.2597, 0.0223, 0.0944, 0.0446, 0.0436, 0.0546, 0.0824, 0.0153, 0.0204, 0.0616, 0.0141]))
Row(prediction=3.0, features=DenseVector([31.0, 27.0, 53.0]), label=12.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 53.0]), label=11.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=6.0, features=DenseVector([31.0, 31.0, 40.0]), label=9.0, probability=DenseVector([0.0581, 0.0596, 0.0178, 0.0137, 0.0411, 0.0647, 0.5422, 0.0082, 0.0142, 0.0926, 0.0584, 0.0027, 0.0263, 0.0005]))
Row(prediction=6.0, features=DenseVector([31.0, 31.0, 40.0]), label=6.0, probability=DenseVector([0.0581, 0.0596, 0.0178, 0.0137, 0.0411, 0.0647, 0.5422, 0.0082, 0.0142, 0.0926, 0.0584, 0.0027, 0.0263, 0.0005]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 52.0]), label=11.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 60.0]), label=9.0, probability=DenseVector([0.007, 0.1891, 0.0509, 0.375, 0.0038, 0.0345, 0.0113, 0.0645, 0.0842, 0.0692, 0.0009, 0.0338, 0.0734, 0.0024]))
Row(prediction=6.0, features=DenseVector([31.0, 32.0, 38.0]), label=6.0, probability=DenseVector([0.0797, 0.05, 0.0122, 0.0108, 0.0504, 0.0239, 0.5343, 0.009, 0.013, 0.0937, 0.0981, 0.0023, 0.0226, 0.0002]))
Row(prediction=6.0, features=DenseVector([31.0, 32.0, 38.0]), label=9.0, probability=DenseVector([0.0797, 0.05, 0.0122, 0.0108, 0.0504, 0.0239, 0.5343, 0.009, 0.013, 0.0937, 0.0981, 0.0023, 0.0226, 0.0002]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 48.0]), label=6.0, probability=DenseVector([0.0155, 0.1613, 0.0826, 0.3479, 0.0116, 0.0907, 0.0191, 0.0515, 0.0618, 0.0581, 0.0075, 0.0231, 0.0531, 0.0161]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 54.0]), label=11.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 49.0]), label=12.0, probability=DenseVector([0.0163, 0.1643, 0.0926, 0.345, 0.0111, 0.1014, 0.0148, 0.0525, 0.0633, 0.0443, 0.0077, 0.025, 0.0527, 0.009]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 51.0]), label=11.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=13.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=13.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=11.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=11.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=11.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=11.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=12.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=12.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 54.0]), label=11.0, probability=DenseVector([0.0099, 0.1653, 0.0664, 0.3951, 0.0035, 0.0577, 0.011, 0.0733, 0.0935, 0.0338, 0.0014, 0.0312, 0.0536, 0.0043]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 55.0]), label=13.0, probability=DenseVector([0.0099, 0.1634, 0.0653, 0.39, 0.0071, 0.0617, 0.0108, 0.0692, 0.0916, 0.0405, 0.0019, 0.0294, 0.0549, 0.0043]))
Row(prediction=6.0, features=DenseVector([31.0, 34.0, 35.0]), label=6.0, probability=DenseVector([0.0847, 0.0506, 0.0124, 0.0108, 0.0546, 0.024, 0.5193, 0.0097, 0.0135, 0.0852, 0.1109, 0.0023, 0.0219, 0.0002]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 48.0]), label=9.0, probability=DenseVector([0.0278, 0.1188, 0.1471, 0.2342, 0.0157, 0.1125, 0.0193, 0.077, 0.0966, 0.0628, 0.0102, 0.0265, 0.0345, 0.017]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 51.0]), label=11.0, probability=DenseVector([0.0253, 0.1172, 0.164, 0.2351, 0.0135, 0.1314, 0.0118, 0.0756, 0.1017, 0.0489, 0.0097, 0.0281, 0.0311, 0.0064]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=5.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=5.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=13.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=11.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=12.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=9.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=12.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=5.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=11.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=12.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=12.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 49.0]), label=9.0, probability=DenseVector([0.031, 0.1075, 0.1672, 0.2213, 0.0166, 0.1311, 0.0141, 0.0806, 0.105, 0.0453, 0.0116, 0.0274, 0.0294, 0.0119]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 50.0]), label=9.0, probability=DenseVector([0.031, 0.1075, 0.1672, 0.2213, 0.0166, 0.1311, 0.0141, 0.0806, 0.105, 0.0453, 0.0116, 0.0274, 0.0294, 0.0119]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.031, 0.1075, 0.1672, 0.2213, 0.0166, 0.1311, 0.0141, 0.0806, 0.105, 0.0453, 0.0116, 0.0274, 0.0294, 0.0119]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=13.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=9.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=11.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=11.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=9.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=9.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=9.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=5.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=5.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=9.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 58.0]), label=9.0, probability=DenseVector([0.0226, 0.091, 0.1782, 0.238, 0.011, 0.115, 0.0076, 0.095, 0.1355, 0.0435, 0.0052, 0.0295, 0.0219, 0.006]))
Row(prediction=6.0, features=DenseVector([31.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.0836, 0.051, 0.0103, 0.0092, 0.0542, 0.024, 0.5317, 0.0097, 0.0113, 0.0821, 0.1101, 0.002, 0.0206, 0.0002]))
Row(prediction=6.0, features=DenseVector([31.0, 36.0, 34.0]), label=6.0, probability=DenseVector([0.0836, 0.051, 0.0103, 0.0092, 0.0542, 0.024, 0.5317, 0.0097, 0.0113, 0.0821, 0.1101, 0.002, 0.0206, 0.0002]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 44.0]), label=9.0, probability=DenseVector([0.0376, 0.0945, 0.1671, 0.1762, 0.0263, 0.1274, 0.0324, 0.0696, 0.0945, 0.0774, 0.0201, 0.0242, 0.0314, 0.0213]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0291, 0.0959, 0.1717, 0.2266, 0.0157, 0.1476, 0.0108, 0.0788, 0.1102, 0.0402, 0.0119, 0.0265, 0.0253, 0.0096]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0291, 0.0959, 0.1717, 0.2266, 0.0157, 0.1476, 0.0108, 0.0788, 0.1102, 0.0402, 0.0119, 0.0265, 0.0253, 0.0096]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0291, 0.0959, 0.1717, 0.2266, 0.0157, 0.1476, 0.0108, 0.0788, 0.1102, 0.0402, 0.0119, 0.0265, 0.0253, 0.0096]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 51.0]), label=11.0, probability=DenseVector([0.0291, 0.0959, 0.1717, 0.2266, 0.0157, 0.1476, 0.0108, 0.0788, 0.1102, 0.0402, 0.0119, 0.0265, 0.0253, 0.0096]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=11.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 54.0]), label=5.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 54.0]), label=5.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 54.0]), label=11.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 54.0]), label=11.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=6.0, features=DenseVector([31.0, 37.0, 25.0]), label=6.0, probability=DenseVector([0.0691, 0.0607, 0.0089, 0.0058, 0.0436, 0.0169, 0.6031, 0.0083, 0.0108, 0.0672, 0.0832, 0.0017, 0.0205, 0.0002]))
Row(prediction=2.0, features=DenseVector([31.0, 37.0, 42.0]), label=9.0, probability=DenseVector([0.0504, 0.0795, 0.1394, 0.13, 0.0421, 0.1238, 0.1185, 0.0509, 0.069, 0.0845, 0.0468, 0.0169, 0.0283, 0.0199]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 43.0]), label=9.0, probability=DenseVector([0.0397, 0.0914, 0.1534, 0.1639, 0.0292, 0.1314, 0.066, 0.0645, 0.0863, 0.0785, 0.0235, 0.0217, 0.0306, 0.0201]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 43.0]), label=9.0, probability=DenseVector([0.0397, 0.0914, 0.1534, 0.1639, 0.0292, 0.1314, 0.066, 0.0645, 0.0863, 0.0785, 0.0235, 0.0217, 0.0306, 0.0201]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=11.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=13.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 54.0]), label=5.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 48.0]), label=3.0, probability=DenseVector([0.0341, 0.0929, 0.1655, 0.2107, 0.0194, 0.1278, 0.0186, 0.0825, 0.1062, 0.0559, 0.0133, 0.0266, 0.0265, 0.0202]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=11.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=11.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=11.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 54.0]), label=11.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 54.0]), label=11.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 59.0]), label=9.0, probability=DenseVector([0.0247, 0.0844, 0.1911, 0.2303, 0.0117, 0.1236, 0.0076, 0.094, 0.1276, 0.0445, 0.0053, 0.029, 0.0206, 0.0056]))
Row(prediction=6.0, features=DenseVector([31.0, 39.0, 32.0]), label=6.0, probability=DenseVector([0.0836, 0.051, 0.0103, 0.0092, 0.0542, 0.024, 0.5317, 0.0097, 0.0113, 0.0821, 0.1101, 0.002, 0.0206, 0.0002]))
Row(prediction=6.0, features=DenseVector([31.0, 39.0, 33.0]), label=6.0, probability=DenseVector([0.0836, 0.051, 0.0103, 0.0092, 0.0542, 0.024, 0.5317, 0.0097, 0.0113, 0.0821, 0.1101, 0.002, 0.0206, 0.0002]))
Row(prediction=6.0, features=DenseVector([31.0, 39.0, 40.0]), label=11.0, probability=DenseVector([0.0825, 0.0565, 0.019, 0.0147, 0.0572, 0.024, 0.4994, 0.0109, 0.0163, 0.0918, 0.1, 0.0031, 0.0241, 0.0005]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 44.0]), label=9.0, probability=DenseVector([0.0376, 0.0945, 0.1671, 0.1762, 0.0263, 0.1274, 0.0324, 0.0696, 0.0945, 0.0774, 0.0201, 0.0242, 0.0314, 0.0213]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=13.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=0.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=11.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=11.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=6.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=6.0, features=DenseVector([31.0, 40.0, 21.0]), label=6.0, probability=DenseVector([0.0718, 0.0644, 0.0084, 0.0061, 0.0436, 0.0001, 0.6214, 0.0081, 0.0116, 0.0595, 0.0837, 0.0019, 0.0192, 0.0002]))
Row(prediction=6.0, features=DenseVector([31.0, 40.0, 29.0]), label=6.0, probability=DenseVector([0.0718, 0.0644, 0.0084, 0.0061, 0.0436, 0.0001, 0.6214, 0.0081, 0.0116, 0.0595, 0.0837, 0.0019, 0.0192, 0.0002]))
Row(prediction=6.0, features=DenseVector([31.0, 40.0, 39.0]), label=6.0, probability=DenseVector([0.086, 0.0582, 0.0169, 0.0145, 0.0561, 0.0073, 0.5233, 0.0106, 0.0158, 0.0818, 0.104, 0.0032, 0.022, 0.0005]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 46.0]), label=9.0, probability=DenseVector([0.0368, 0.0711, 0.1972, 0.2346, 0.0241, 0.0841, 0.0314, 0.0567, 0.0844, 0.0512, 0.0166, 0.0193, 0.0274, 0.0653]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 49.0]), label=1.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=11.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=13.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=11.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=13.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 53.0]), label=13.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 53.0]), label=11.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 54.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=6.0, features=DenseVector([31.0, 41.0, 25.0]), label=6.0, probability=DenseVector([0.0718, 0.0644, 0.0084, 0.0061, 0.0436, 0.0001, 0.6214, 0.0081, 0.0116, 0.0595, 0.0837, 0.0019, 0.0192, 0.0002]))
Row(prediction=6.0, features=DenseVector([31.0, 41.0, 33.0]), label=6.0, probability=DenseVector([0.0863, 0.0547, 0.0098, 0.0095, 0.0541, 0.0072, 0.55, 0.0095, 0.012, 0.0744, 0.1106, 0.0023, 0.0192, 0.0002]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 47.0]), label=3.0, probability=DenseVector([0.0368, 0.0711, 0.1972, 0.2346, 0.0241, 0.0841, 0.0314, 0.0567, 0.0844, 0.0512, 0.0166, 0.0193, 0.0274, 0.0653]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0315, 0.0708, 0.1898, 0.2647, 0.0167, 0.1019, 0.0162, 0.0671, 0.0972, 0.0371, 0.0094, 0.0197, 0.0238, 0.0541]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=9.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=13.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=0.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=11.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=9.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 55.0]), label=5.0, probability=DenseVector([0.0332, 0.0686, 0.1926, 0.2442, 0.0156, 0.1313, 0.011, 0.0743, 0.1094, 0.045, 0.0067, 0.0206, 0.0232, 0.0243]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 44.0]), label=6.0, probability=DenseVector([0.0431, 0.0666, 0.1866, 0.2203, 0.0342, 0.0567, 0.0413, 0.048, 0.0719, 0.085, 0.0264, 0.0265, 0.0267, 0.0668]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 46.0]), label=6.0, probability=DenseVector([0.0355, 0.071, 0.2004, 0.2409, 0.0227, 0.0746, 0.0327, 0.0568, 0.0819, 0.0512, 0.0152, 0.0194, 0.027, 0.0708]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=13.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=0.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 52.0]), label=0.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 52.0]), label=5.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 54.0]), label=13.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=6.0, features=DenseVector([31.0, 43.0, 28.0]), label=6.0, probability=DenseVector([0.0887, 0.0679, 0.0098, 0.0065, 0.0474, 0.0002, 0.5922, 0.0087, 0.013, 0.0588, 0.0854, 0.0021, 0.0189, 0.0002]))
Row(prediction=6.0, features=DenseVector([31.0, 43.0, 39.0]), label=6.0, probability=DenseVector([0.0986, 0.0616, 0.0183, 0.0149, 0.0537, 0.0073, 0.5232, 0.0104, 0.0176, 0.0813, 0.087, 0.0033, 0.0224, 0.0005]))
Row(prediction=6.0, features=DenseVector([31.0, 43.0, 40.0]), label=9.0, probability=DenseVector([0.0978, 0.0635, 0.02, 0.0154, 0.0547, 0.0073, 0.5176, 0.0106, 0.0188, 0.0836, 0.0835, 0.0035, 0.0232, 0.0005]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 44.0]), label=3.0, probability=DenseVector([0.0431, 0.0666, 0.1866, 0.2203, 0.0342, 0.0567, 0.0413, 0.048, 0.0719, 0.085, 0.0264, 0.0265, 0.0267, 0.0668]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 48.0]), label=11.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 48.0]), label=11.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 49.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 49.0]), label=13.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=0.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=6.0, features=DenseVector([31.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.1011, 0.0599, 0.0154, 0.0131, 0.0482, 0.0073, 0.5485, 0.0095, 0.0165, 0.0755, 0.0808, 0.0029, 0.021, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.1011, 0.0599, 0.0154, 0.0131, 0.0482, 0.0073, 0.5485, 0.0095, 0.0165, 0.0755, 0.0808, 0.0029, 0.021, 0.0004]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 43.0]), label=6.0, probability=DenseVector([0.0478, 0.0617, 0.1732, 0.2082, 0.0358, 0.0523, 0.0861, 0.0407, 0.0602, 0.0827, 0.0285, 0.0244, 0.0247, 0.0735]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 43.0]), label=11.0, probability=DenseVector([0.0478, 0.0617, 0.1732, 0.2082, 0.0358, 0.0523, 0.0861, 0.0407, 0.0602, 0.0827, 0.0285, 0.0244, 0.0247, 0.0735]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 44.0]), label=0.0, probability=DenseVector([0.0397, 0.0639, 0.1936, 0.2308, 0.0299, 0.0544, 0.0414, 0.0478, 0.0715, 0.0763, 0.022, 0.0265, 0.025, 0.0772]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 45.0]), label=6.0, probability=DenseVector([0.0397, 0.0639, 0.1936, 0.2308, 0.0299, 0.0544, 0.0414, 0.0478, 0.0715, 0.0763, 0.022, 0.0265, 0.025, 0.0772]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 46.0]), label=11.0, probability=DenseVector([0.0321, 0.0683, 0.2074, 0.2514, 0.0183, 0.0723, 0.0328, 0.0566, 0.0815, 0.0426, 0.0108, 0.0194, 0.0254, 0.0811]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0321, 0.0683, 0.2074, 0.2514, 0.0183, 0.0723, 0.0328, 0.0566, 0.0815, 0.0426, 0.0108, 0.0194, 0.0254, 0.0811]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 47.0]), label=0.0, probability=DenseVector([0.0321, 0.0683, 0.2074, 0.2514, 0.0183, 0.0723, 0.0328, 0.0566, 0.0815, 0.0426, 0.0108, 0.0194, 0.0254, 0.0811]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 48.0]), label=13.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 48.0]), label=13.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 48.0]), label=11.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 48.0]), label=0.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=13.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=0.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=9.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=5.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=11.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 51.0]), label=5.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 51.0]), label=9.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=6.0, features=DenseVector([31.0, 45.0, 28.0]), label=6.0, probability=DenseVector([0.0898, 0.0701, 0.0119, 0.0081, 0.0436, 0.0002, 0.6032, 0.0088, 0.0135, 0.0573, 0.0718, 0.0023, 0.019, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 45.0, 36.0]), label=6.0, probability=DenseVector([0.1011, 0.0599, 0.0154, 0.0131, 0.0482, 0.0073, 0.5485, 0.0095, 0.0165, 0.0755, 0.0808, 0.0029, 0.021, 0.0004]))
Row(prediction=2.0, features=DenseVector([31.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0294, 0.0632, 0.2376, 0.2342, 0.0186, 0.0622, 0.0407, 0.0535, 0.0806, 0.045, 0.0106, 0.0186, 0.0217, 0.0841]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=11.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 52.0]), label=3.0, probability=DenseVector([0.0305, 0.0626, 0.2197, 0.2428, 0.0146, 0.1309, 0.013, 0.0733, 0.1047, 0.0358, 0.0065, 0.0187, 0.0191, 0.0279]))
Row(prediction=6.0, features=DenseVector([31.0, 46.0, 23.0]), label=6.0, probability=DenseVector([0.0999, 0.069, 0.0119, 0.0084, 0.0438, 0.0002, 0.6028, 0.0093, 0.0154, 0.0536, 0.066, 0.0025, 0.0168, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 46.0, 32.0]), label=6.0, probability=DenseVector([0.1061, 0.0604, 0.0128, 0.0115, 0.0469, 0.0072, 0.5746, 0.0098, 0.0161, 0.0621, 0.0711, 0.0027, 0.0183, 0.0004]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 45.0]), label=6.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 47.0]), label=9.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 47.0]), label=12.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=13.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=6.0, features=DenseVector([31.0, 47.0, 26.0]), label=6.0, probability=DenseVector([0.0991, 0.0665, 0.0137, 0.0121, 0.0408, 0.0002, 0.6207, 0.0111, 0.0194, 0.0501, 0.0472, 0.0032, 0.0156, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 47.0, 34.0]), label=6.0, probability=DenseVector([0.1053, 0.0579, 0.0146, 0.0151, 0.044, 0.0072, 0.5925, 0.0117, 0.0201, 0.0585, 0.0523, 0.0034, 0.0171, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 47.0, 36.0]), label=6.0, probability=DenseVector([0.106, 0.0583, 0.0208, 0.0209, 0.0444, 0.0072, 0.5552, 0.011, 0.0276, 0.0686, 0.0544, 0.0047, 0.0205, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 47.0, 39.0]), label=6.0, probability=DenseVector([0.102, 0.0621, 0.0259, 0.0253, 0.0465, 0.0072, 0.5344, 0.0125, 0.0279, 0.0744, 0.053, 0.0057, 0.0223, 0.0007]))
Row(prediction=6.0, features=DenseVector([31.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.076, 0.0638, 0.0845, 0.0694, 0.0424, 0.0107, 0.4369, 0.0201, 0.0405, 0.0671, 0.0383, 0.0095, 0.0197, 0.0212]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 45.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 45.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 45.0]), label=6.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 45.0]), label=6.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=5.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 48.0]), label=13.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 48.0]), label=11.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 50.0]), label=2.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 51.0]), label=5.0, probability=DenseVector([0.0218, 0.0593, 0.2769, 0.2307, 0.0141, 0.0509, 0.0429, 0.0569, 0.0881, 0.0445, 0.0063, 0.0181, 0.0156, 0.0739]))
Row(prediction=6.0, features=DenseVector([31.0, 48.0, 22.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 48.0, 23.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 48.0, 27.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 48.0, 35.0]), label=6.0, probability=DenseVector([0.0748, 0.0494, 0.0291, 0.0328, 0.0313, 0.0, 0.6221, 0.0151, 0.0413, 0.0511, 0.0249, 0.0073, 0.0203, 0.0005]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.0426, 0.0556, 0.2069, 0.1715, 0.0332, 0.0238, 0.1891, 0.0337, 0.0492, 0.0567, 0.0234, 0.0139, 0.0157, 0.0846]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 44.0]), label=0.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 45.0]), label=6.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=6.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=9.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=6.0, features=DenseVector([31.0, 49.0, 19.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0736, 0.0464, 0.0461, 0.0486, 0.0309, 0.0, 0.5555, 0.0133, 0.0628, 0.0624, 0.0265, 0.0105, 0.0229, 0.0005]))
Row(prediction=6.0, features=DenseVector([31.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0736, 0.0464, 0.0461, 0.0486, 0.0309, 0.0, 0.5555, 0.0133, 0.0628, 0.0624, 0.0265, 0.0105, 0.0229, 0.0005]))
Row(prediction=6.0, features=DenseVector([31.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0729, 0.048, 0.0501, 0.0517, 0.0322, 0.0001, 0.5431, 0.014, 0.0641, 0.0644, 0.024, 0.011, 0.0237, 0.0008]))
Row(prediction=6.0, features=DenseVector([31.0, 49.0, 39.0]), label=6.0, probability=DenseVector([0.0729, 0.048, 0.0501, 0.0517, 0.0322, 0.0001, 0.5431, 0.014, 0.0641, 0.0644, 0.024, 0.011, 0.0237, 0.0008]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0416, 0.0549, 0.2069, 0.1828, 0.0322, 0.0222, 0.1911, 0.033, 0.0498, 0.0558, 0.0225, 0.0139, 0.0154, 0.0779]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 43.0]), label=13.0, probability=DenseVector([0.0251, 0.0547, 0.263, 0.2107, 0.0207, 0.0276, 0.1126, 0.0391, 0.0611, 0.0516, 0.0129, 0.015, 0.014, 0.0918]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.0251, 0.0547, 0.263, 0.2107, 0.0207, 0.0276, 0.1126, 0.0391, 0.0611, 0.0516, 0.0129, 0.015, 0.014, 0.0918]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.0251, 0.0547, 0.263, 0.2107, 0.0207, 0.0276, 0.1126, 0.0391, 0.0611, 0.0516, 0.0129, 0.015, 0.014, 0.0918]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 43.0]), label=6.0, probability=DenseVector([0.0251, 0.0547, 0.263, 0.2107, 0.0207, 0.0276, 0.1126, 0.0391, 0.0611, 0.0516, 0.0129, 0.015, 0.014, 0.0918]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 44.0]), label=13.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 44.0]), label=13.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=6.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=13.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=13.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=13.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=11.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 47.0]), label=5.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 47.0]), label=13.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 48.0]), label=13.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 49.0]), label=9.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 49.0]), label=6.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 54.0]), label=13.0, probability=DenseVector([0.0235, 0.0654, 0.2487, 0.2106, 0.0134, 0.0919, 0.0339, 0.0661, 0.1047, 0.0549, 0.0068, 0.0237, 0.0206, 0.0358]))
Row(prediction=6.0, features=DenseVector([31.0, 50.0, 24.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 50.0, 26.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 50.0, 28.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([31.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0757, 0.054, 0.02, 0.0251, 0.0321, 0.0, 0.6601, 0.0164, 0.0295, 0.0423, 0.023, 0.0063, 0.0149, 0.0005]))
Row(prediction=6.0, features=DenseVector([31.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.0757, 0.054, 0.02, 0.0251, 0.0321, 0.0, 0.6601, 0.0164, 0.0295, 0.0423, 0.023, 0.0063, 0.0149, 0.0005]))
Row(prediction=6.0, features=DenseVector([31.0, 50.0, 35.0]), label=0.0, probability=DenseVector([0.0748, 0.0494, 0.0291, 0.0328, 0.0313, 0.0, 0.6221, 0.0151, 0.0413, 0.0511, 0.0249, 0.0073, 0.0203, 0.0005]))
Row(prediction=6.0, features=DenseVector([31.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.075, 0.0484, 0.0361, 0.0404, 0.0315, 0.0, 0.5876, 0.0141, 0.0516, 0.0569, 0.0259, 0.0085, 0.0235, 0.0005]))
Row(prediction=6.0, features=DenseVector([31.0, 50.0, 38.0]), label=0.0, probability=DenseVector([0.0736, 0.0464, 0.0461, 0.0486, 0.0309, 0.0, 0.5555, 0.0133, 0.0628, 0.0624, 0.0265, 0.0105, 0.0229, 0.0005]))
Row(prediction=6.0, features=DenseVector([31.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0736, 0.0464, 0.0461, 0.0486, 0.0309, 0.0, 0.5555, 0.0133, 0.0628, 0.0624, 0.0265, 0.0105, 0.0229, 0.0005]))
Row(prediction=6.0, features=DenseVector([31.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0721, 0.0489, 0.0557, 0.053, 0.033, 0.0001, 0.5323, 0.0151, 0.0665, 0.0641, 0.0243, 0.011, 0.0231, 0.0009]))
Row(prediction=6.0, features=DenseVector([31.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.0642, 0.0542, 0.0945, 0.0861, 0.0337, 0.0036, 0.45, 0.0217, 0.0604, 0.0595, 0.0221, 0.0125, 0.016, 0.0216]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 44.0]), label=13.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 44.0]), label=9.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 44.0]), label=6.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=13.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 46.0]), label=5.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 47.0]), label=9.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=6.0, features=DenseVector([31.0, 51.0, 15.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 51.0, 23.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 51.0, 25.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 51.0, 28.0]), label=0.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0236, 0.0478, 0.2597, 0.2283, 0.024, 0.0178, 0.1302, 0.0314, 0.0586, 0.0594, 0.0108, 0.0141, 0.0131, 0.0813]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 45.0]), label=6.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 45.0]), label=6.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 46.0]), label=13.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 15.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 23.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 35.0]), label=0.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 38.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 40.0]), label=9.0, probability=DenseVector([0.0557, 0.0299, 0.0795, 0.0857, 0.0264, 0.0001, 0.5, 0.0178, 0.096, 0.0563, 0.012, 0.0156, 0.0207, 0.0041]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0477, 0.0352, 0.1184, 0.1188, 0.0271, 0.0036, 0.4177, 0.0244, 0.0899, 0.0517, 0.0099, 0.0172, 0.0137, 0.0248]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 42.0]), label=6.0, probability=DenseVector([0.0236, 0.0478, 0.2597, 0.2283, 0.024, 0.0178, 0.1302, 0.0314, 0.0586, 0.0594, 0.0108, 0.0141, 0.0131, 0.0813]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 42.0]), label=6.0, probability=DenseVector([0.0236, 0.0478, 0.2597, 0.2283, 0.024, 0.0178, 0.1302, 0.0314, 0.0586, 0.0594, 0.0108, 0.0141, 0.0131, 0.0813]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 44.0]), label=6.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 18.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 20.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 26.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 36.0]), label=0.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 37.0]), label=0.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 38.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 39.0]), label=9.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 39.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 41.0]), label=11.0, probability=DenseVector([0.0479, 0.037, 0.1102, 0.1048, 0.0285, 0.0035, 0.4392, 0.022, 0.0787, 0.0648, 0.0087, 0.0185, 0.0132, 0.0233]))
Row(prediction=2.0, features=DenseVector([31.0, 53.0, 49.0]), label=6.0, probability=DenseVector([0.0195, 0.0581, 0.2516, 0.2319, 0.0224, 0.038, 0.063, 0.0468, 0.077, 0.0862, 0.0088, 0.0142, 0.0154, 0.0671]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 23.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 27.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 32.0]), label=0.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 38.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 39.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 39.0]), label=11.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 40.0]), label=11.0, probability=DenseVector([0.0555, 0.0349, 0.0673, 0.0727, 0.0282, 0.0, 0.5241, 0.0136, 0.0826, 0.0711, 0.0102, 0.0155, 0.0209, 0.0034]))
Row(prediction=2.0, features=DenseVector([31.0, 54.0, 46.0]), label=6.0, probability=DenseVector([0.0202, 0.0487, 0.2714, 0.2194, 0.0226, 0.0119, 0.1136, 0.0317, 0.0579, 0.0758, 0.0084, 0.0141, 0.0139, 0.0906]))
Row(prediction=2.0, features=DenseVector([31.0, 54.0, 47.0]), label=6.0, probability=DenseVector([0.016, 0.0484, 0.2664, 0.2215, 0.0268, 0.0119, 0.0756, 0.0332, 0.0612, 0.112, 0.0104, 0.0128, 0.0142, 0.0896]))
Row(prediction=2.0, features=DenseVector([31.0, 54.0, 47.0]), label=6.0, probability=DenseVector([0.016, 0.0484, 0.2664, 0.2215, 0.0268, 0.0119, 0.0756, 0.0332, 0.0612, 0.112, 0.0104, 0.0128, 0.0142, 0.0896]))
Row(prediction=2.0, features=DenseVector([31.0, 54.0, 55.0]), label=6.0, probability=DenseVector([0.019, 0.0572, 0.2033, 0.1928, 0.0315, 0.0558, 0.0489, 0.0495, 0.0844, 0.1812, 0.0092, 0.0146, 0.0224, 0.0301]))
Row(prediction=6.0, features=DenseVector([31.0, 55.0, 18.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 55.0, 20.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 55.0, 24.0]), label=8.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 55.0, 30.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 55.0, 30.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 55.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 55.0, 33.0]), label=9.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 55.0, 37.0]), label=6.0, probability=DenseVector([0.063, 0.0313, 0.0412, 0.0573, 0.0214, 0.0, 0.6029, 0.012, 0.0755, 0.0554, 0.0088, 0.0102, 0.021, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 56.0, 19.0]), label=6.0, probability=DenseVector([0.0578, 0.0356, 0.0113, 0.026, 0.0243, 0.0, 0.7501, 0.0162, 0.0263, 0.0297, 0.0051, 0.0055, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 56.0, 24.0]), label=6.0, probability=DenseVector([0.0578, 0.0356, 0.0113, 0.026, 0.0243, 0.0, 0.7501, 0.0162, 0.0263, 0.0297, 0.0051, 0.0055, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 56.0, 25.0]), label=6.0, probability=DenseVector([0.0578, 0.0356, 0.0113, 0.026, 0.0243, 0.0, 0.7501, 0.0162, 0.0263, 0.0297, 0.0051, 0.0055, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 56.0, 29.0]), label=6.0, probability=DenseVector([0.0578, 0.0356, 0.0113, 0.026, 0.0243, 0.0, 0.7501, 0.0162, 0.0263, 0.0297, 0.0051, 0.0055, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 56.0, 32.0]), label=6.0, probability=DenseVector([0.0598, 0.0362, 0.0133, 0.0286, 0.0251, 0.0, 0.7356, 0.017, 0.0294, 0.031, 0.0053, 0.0058, 0.0128, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 56.0, 39.0]), label=6.0, probability=DenseVector([0.059, 0.0299, 0.0364, 0.0525, 0.0193, 0.0, 0.6334, 0.0108, 0.0694, 0.0527, 0.0083, 0.0089, 0.0192, 0.0001]))
Row(prediction=2.0, features=DenseVector([31.0, 56.0, 50.0]), label=9.0, probability=DenseVector([0.0193, 0.0573, 0.21, 0.203, 0.03, 0.0384, 0.0611, 0.0458, 0.0782, 0.1547, 0.0086, 0.013, 0.0193, 0.0614]))
Row(prediction=2.0, features=DenseVector([31.0, 56.0, 51.0]), label=3.0, probability=DenseVector([0.0198, 0.0561, 0.2104, 0.2029, 0.0299, 0.0417, 0.0607, 0.0457, 0.0795, 0.1544, 0.0083, 0.0128, 0.0192, 0.0585]))
Row(prediction=6.0, features=DenseVector([31.0, 57.0, 23.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 57.0, 24.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 57.0, 37.0]), label=6.0, probability=DenseVector([0.0498, 0.0268, 0.0242, 0.0324, 0.0167, 0.0, 0.7222, 0.0092, 0.0415, 0.0494, 0.0075, 0.0067, 0.0133, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 58.0, 37.0]), label=6.0, probability=DenseVector([0.0498, 0.0268, 0.0242, 0.0324, 0.0167, 0.0, 0.7222, 0.0092, 0.0415, 0.0494, 0.0075, 0.0067, 0.0133, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 58.0, 39.0]), label=6.0, probability=DenseVector([0.0498, 0.0268, 0.0242, 0.0324, 0.0167, 0.0, 0.7222, 0.0092, 0.0415, 0.0494, 0.0075, 0.0067, 0.0133, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 59.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=2.0, features=DenseVector([31.0, 59.0, 46.0]), label=6.0, probability=DenseVector([0.0195, 0.048, 0.2403, 0.1889, 0.0207, 0.0116, 0.1832, 0.03, 0.0547, 0.0805, 0.0076, 0.0133, 0.0166, 0.0851]))
Row(prediction=6.0, features=DenseVector([31.0, 60.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 60.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 60.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 60.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 60.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 60.0, 37.0]), label=6.0, probability=DenseVector([0.048, 0.0259, 0.0242, 0.0319, 0.0167, 0.0, 0.7281, 0.0088, 0.0405, 0.0485, 0.0073, 0.0067, 0.0132, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 60.0, 40.0]), label=6.0, probability=DenseVector([0.0451, 0.0336, 0.0333, 0.0379, 0.0222, 0.0, 0.6851, 0.0101, 0.0425, 0.0585, 0.008, 0.009, 0.0132, 0.0017]))
Row(prediction=2.0, features=DenseVector([31.0, 60.0, 44.0]), label=6.0, probability=DenseVector([0.0198, 0.0469, 0.2403, 0.187, 0.0199, 0.0116, 0.204, 0.0301, 0.0533, 0.0683, 0.0076, 0.0133, 0.0128, 0.0851]))
Row(prediction=6.0, features=DenseVector([31.0, 61.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 61.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 61.0, 27.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 61.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 61.0, 29.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 61.0, 40.0]), label=6.0, probability=DenseVector([0.0451, 0.0336, 0.0333, 0.0379, 0.0222, 0.0, 0.6851, 0.0101, 0.0425, 0.0585, 0.008, 0.009, 0.0132, 0.0017]))
Row(prediction=6.0, features=DenseVector([31.0, 62.0, 5.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 62.0, 12.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 62.0, 13.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 62.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 62.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 62.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 62.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 62.0, 29.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 62.0, 34.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 4.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 5.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 13.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 31.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 63.0, 35.0]), label=6.0, probability=DenseVector([0.0487, 0.0272, 0.0162, 0.0233, 0.0172, 0.0, 0.7649, 0.0104, 0.03, 0.0386, 0.0064, 0.0046, 0.0124, 0.0001]))
Row(prediction=2.0, features=DenseVector([31.0, 63.0, 47.0]), label=6.0, probability=DenseVector([0.0152, 0.0459, 0.2368, 0.1922, 0.0273, 0.0116, 0.1081, 0.0319, 0.0559, 0.1534, 0.0097, 0.0118, 0.016, 0.0842]))
Row(prediction=5.0, features=DenseVector([32.0, 1.0, 37.0]), label=9.0, probability=DenseVector([0.0048, 0.2677, 0.003, 0.1171, 0.0161, 0.2682, 0.1114, 0.0006, 0.0032, 0.1567, 0.0035, 0.0033, 0.0444, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 10.0, 46.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 11.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 12.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 12.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 12.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 12.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 12.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 12.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 12.0, 45.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 12.0, 46.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 13.0, 39.0]), label=5.0, probability=DenseVector([0.0045, 0.1155, 0.0032, 0.0839, 0.0079, 0.5884, 0.0777, 0.0007, 0.0026, 0.0695, 0.0035, 0.018, 0.0245, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 13.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 13.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 14.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 34.0]), label=6.0, probability=DenseVector([0.0079, 0.2585, 0.003, 0.104, 0.0175, 0.262, 0.1443, 0.0012, 0.0035, 0.1472, 0.0057, 0.0031, 0.0421, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0045, 0.0991, 0.0109, 0.0654, 0.0062, 0.6586, 0.0586, 0.0007, 0.0021, 0.0632, 0.0035, 0.0013, 0.0261, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 46.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 16.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 16.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 16.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 16.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 16.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 16.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 16.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 16.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 16.0, 45.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 16.0, 45.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 16.0, 45.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 17.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 17.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 17.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 17.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 17.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 17.0, 45.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 18.0, 40.0]), label=5.0, probability=DenseVector([0.0045, 0.1014, 0.0032, 0.083, 0.0072, 0.6173, 0.0698, 0.0007, 0.0024, 0.0656, 0.0035, 0.018, 0.0234, 0.0]))
Row(prediction=5.0, features=DenseVector([32.0, 18.0, 42.0]), label=12.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([32.0, 18.0, 43.0]), label=5.0, probability=DenseVector([0.009, 0.1004, 0.0633, 0.0775, 0.0116, 0.5473, 0.0092, 0.0137, 0.0193, 0.0907, 0.0087, 0.0086, 0.0356, 0.005]))
Row(prediction=5.0, features=DenseVector([32.0, 18.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 18.0, 44.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 18.0, 45.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 18.0, 45.0]), label=5.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 18.0, 51.0]), label=5.0, probability=DenseVector([0.0133, 0.1142, 0.0926, 0.1337, 0.0133, 0.4206, 0.004, 0.0282, 0.0338, 0.0777, 0.0103, 0.0144, 0.034, 0.0099]))
Row(prediction=3.0, features=DenseVector([32.0, 18.0, 52.0]), label=9.0, probability=DenseVector([0.0067, 0.1649, 0.0635, 0.2608, 0.0065, 0.2525, 0.0022, 0.0536, 0.0421, 0.0733, 0.0035, 0.0211, 0.0429, 0.0065]))
Row(prediction=5.0, features=DenseVector([32.0, 20.0, 48.0]), label=5.0, probability=DenseVector([0.0099, 0.1317, 0.0657, 0.1126, 0.0121, 0.4815, 0.0065, 0.0173, 0.0225, 0.0797, 0.0089, 0.0094, 0.0364, 0.0059]))
Row(prediction=3.0, features=DenseVector([32.0, 21.0, 52.0]), label=12.0, probability=DenseVector([0.0067, 0.1649, 0.0635, 0.2608, 0.0065, 0.2525, 0.0022, 0.0536, 0.0421, 0.0733, 0.0035, 0.0211, 0.0429, 0.0065]))
Row(prediction=6.0, features=DenseVector([32.0, 23.0, 39.0]), label=9.0, probability=DenseVector([0.0539, 0.0776, 0.016, 0.0253, 0.0372, 0.1005, 0.4669, 0.0074, 0.0128, 0.1101, 0.0539, 0.0107, 0.0273, 0.0005]))
Row(prediction=5.0, features=DenseVector([32.0, 23.0, 47.0]), label=9.0, probability=DenseVector([0.0203, 0.1249, 0.0886, 0.1069, 0.0233, 0.3787, 0.0173, 0.0226, 0.0338, 0.1017, 0.018, 0.0133, 0.043, 0.0077]))
Row(prediction=3.0, features=DenseVector([32.0, 23.0, 52.0]), label=12.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 24.0, 49.0]), label=5.0, probability=DenseVector([0.0158, 0.144, 0.1019, 0.1689, 0.0165, 0.3401, 0.0077, 0.0276, 0.0363, 0.0637, 0.0125, 0.0168, 0.0395, 0.0087]))
Row(prediction=5.0, features=DenseVector([32.0, 25.0, 43.0]), label=6.0, probability=DenseVector([0.0232, 0.123, 0.085, 0.1034, 0.024, 0.3587, 0.0436, 0.0227, 0.0331, 0.101, 0.0199, 0.0129, 0.0423, 0.0071]))
Row(prediction=5.0, features=DenseVector([32.0, 27.0, 50.0]), label=5.0, probability=DenseVector([0.0204, 0.1237, 0.1252, 0.2015, 0.0194, 0.2647, 0.0103, 0.0384, 0.0465, 0.0542, 0.0144, 0.0196, 0.0373, 0.0244]))
Row(prediction=5.0, features=DenseVector([32.0, 27.0, 51.0]), label=12.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=6.0, features=DenseVector([32.0, 28.0, 28.0]), label=6.0, probability=DenseVector([0.0575, 0.1164, 0.0089, 0.006, 0.0383, 0.017, 0.5061, 0.0088, 0.0084, 0.138, 0.0653, 0.0061, 0.0231, 0.0002]))
Row(prediction=5.0, features=DenseVector([32.0, 28.0, 55.0]), label=1.0, probability=DenseVector([0.0068, 0.1677, 0.065, 0.2047, 0.0084, 0.2266, 0.0035, 0.0486, 0.0491, 0.1074, 0.0034, 0.0315, 0.0713, 0.006]))
Row(prediction=6.0, features=DenseVector([32.0, 30.0, 25.0]), label=6.0, probability=DenseVector([0.0583, 0.1158, 0.0089, 0.0057, 0.0397, 0.017, 0.509, 0.0086, 0.0084, 0.129, 0.0662, 0.0104, 0.0229, 0.0002]))
Row(prediction=6.0, features=DenseVector([32.0, 30.0, 33.0]), label=9.0, probability=DenseVector([0.0602, 0.0549, 0.0093, 0.0084, 0.0409, 0.0241, 0.5496, 0.007, 0.009, 0.1329, 0.0695, 0.0104, 0.0237, 0.0002]))
Row(prediction=5.0, features=DenseVector([32.0, 30.0, 44.0]), label=9.0, probability=DenseVector([0.0235, 0.1167, 0.1074, 0.1518, 0.0268, 0.2814, 0.0226, 0.0266, 0.039, 0.0949, 0.0209, 0.0147, 0.0396, 0.034]))
Row(prediction=6.0, features=DenseVector([32.0, 32.0, 35.0]), label=9.0, probability=DenseVector([0.0797, 0.05, 0.0122, 0.0108, 0.0504, 0.0239, 0.5343, 0.009, 0.013, 0.0937, 0.0981, 0.0023, 0.0226, 0.0002]))
Row(prediction=5.0, features=DenseVector([32.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0204, 0.1237, 0.1252, 0.2015, 0.0194, 0.2647, 0.0103, 0.0384, 0.0465, 0.0542, 0.0144, 0.0196, 0.0373, 0.0244]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 52.0]), label=5.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 52.0]), label=11.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=5.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=5.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=11.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=6.0, features=DenseVector([32.0, 33.0, 31.0]), label=6.0, probability=DenseVector([0.0836, 0.051, 0.0103, 0.0092, 0.0542, 0.024, 0.5317, 0.0097, 0.0113, 0.0821, 0.1101, 0.002, 0.0206, 0.0002]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=11.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=11.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=11.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=11.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 51.0]), label=5.0, probability=DenseVector([0.0187, 0.0977, 0.1211, 0.1365, 0.0192, 0.4017, 0.0057, 0.0341, 0.0434, 0.046, 0.0148, 0.0172, 0.0305, 0.0134]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=11.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=9.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=9.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 56.0]), label=12.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=6.0, features=DenseVector([32.0, 35.0, 27.0]), label=6.0, probability=DenseVector([0.0691, 0.0607, 0.0089, 0.0058, 0.0436, 0.0169, 0.6031, 0.0083, 0.0108, 0.0672, 0.0832, 0.0017, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([32.0, 35.0, 30.0]), label=6.0, probability=DenseVector([0.0836, 0.051, 0.0103, 0.0092, 0.0542, 0.024, 0.5317, 0.0097, 0.0113, 0.0821, 0.1101, 0.002, 0.0206, 0.0002]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 46.0]), label=9.0, probability=DenseVector([0.0311, 0.0809, 0.1193, 0.1524, 0.0389, 0.2832, 0.0177, 0.0263, 0.0447, 0.0924, 0.0301, 0.0148, 0.0296, 0.0385]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 49.0]), label=1.0, probability=DenseVector([0.0294, 0.0911, 0.1326, 0.1724, 0.0326, 0.2875, 0.0102, 0.0359, 0.0509, 0.0565, 0.0243, 0.0173, 0.0306, 0.0287]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 51.0]), label=5.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 51.0]), label=5.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=9.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=13.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=6.0, features=DenseVector([32.0, 36.0, 30.0]), label=6.0, probability=DenseVector([0.0836, 0.051, 0.0103, 0.0092, 0.0542, 0.024, 0.5317, 0.0097, 0.0113, 0.0821, 0.1101, 0.002, 0.0206, 0.0002]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 43.0]), label=9.0, probability=DenseVector([0.0353, 0.072, 0.1133, 0.1505, 0.0404, 0.2716, 0.0439, 0.027, 0.0456, 0.0866, 0.0331, 0.0139, 0.0278, 0.0391]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=11.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 51.0]), label=11.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=6.0, features=DenseVector([32.0, 37.0, 24.0]), label=6.0, probability=DenseVector([0.0691, 0.0607, 0.0089, 0.0058, 0.0436, 0.0169, 0.6031, 0.0083, 0.0108, 0.0672, 0.0832, 0.0017, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([32.0, 37.0, 27.0]), label=6.0, probability=DenseVector([0.0691, 0.0607, 0.0089, 0.0058, 0.0436, 0.0169, 0.6031, 0.0083, 0.0108, 0.0672, 0.0832, 0.0017, 0.0205, 0.0002]))
Row(prediction=6.0, features=DenseVector([32.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.0847, 0.0506, 0.0124, 0.0108, 0.0546, 0.024, 0.5193, 0.0097, 0.0135, 0.0852, 0.1109, 0.0023, 0.0219, 0.0002]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 50.0]), label=13.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=11.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=11.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=9.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=13.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=9.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=13.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=13.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 45.0]), label=9.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 46.0]), label=0.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 46.0]), label=9.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 48.0]), label=0.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=13.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=11.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=13.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=13.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=6.0, features=DenseVector([32.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.0847, 0.0506, 0.0124, 0.0108, 0.0546, 0.024, 0.5193, 0.0097, 0.0135, 0.0852, 0.1109, 0.0023, 0.0219, 0.0002]))
Row(prediction=6.0, features=DenseVector([32.0, 39.0, 40.0]), label=9.0, probability=DenseVector([0.0825, 0.0565, 0.019, 0.0147, 0.0572, 0.024, 0.4994, 0.0109, 0.0163, 0.0918, 0.1, 0.0031, 0.0241, 0.0005]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 44.0]), label=9.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=13.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=11.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=0.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=13.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=13.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=6.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=11.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=9.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=5.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=13.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 54.0]), label=5.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 55.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 55.0]), label=5.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 43.0]), label=9.0, probability=DenseVector([0.0468, 0.0683, 0.1488, 0.2296, 0.0391, 0.0691, 0.0582, 0.0366, 0.0519, 0.0855, 0.0335, 0.0197, 0.0225, 0.0903]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 46.0]), label=9.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=9.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=13.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=11.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=11.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=9.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 54.0]), label=3.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 55.0]), label=5.0, probability=DenseVector([0.0313, 0.0629, 0.1617, 0.2397, 0.0221, 0.1903, 0.0097, 0.053, 0.0855, 0.0498, 0.0076, 0.016, 0.0286, 0.0417]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 45.0]), label=9.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 45.0]), label=9.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 46.0]), label=0.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 48.0]), label=5.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 48.0]), label=6.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 49.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=13.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=13.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=6.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=9.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 54.0]), label=5.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 55.0]), label=5.0, probability=DenseVector([0.0313, 0.0629, 0.1617, 0.2397, 0.0221, 0.1903, 0.0097, 0.053, 0.0855, 0.0498, 0.0076, 0.016, 0.0286, 0.0417]))
Row(prediction=6.0, features=DenseVector([32.0, 42.0, 21.0]), label=6.0, probability=DenseVector([0.0718, 0.0644, 0.0084, 0.0061, 0.0436, 0.0001, 0.6214, 0.0081, 0.0116, 0.0595, 0.0837, 0.0019, 0.0192, 0.0002]))
Row(prediction=6.0, features=DenseVector([32.0, 42.0, 27.0]), label=6.0, probability=DenseVector([0.0718, 0.0644, 0.0084, 0.0061, 0.0436, 0.0001, 0.6214, 0.0081, 0.0116, 0.0595, 0.0837, 0.0019, 0.0192, 0.0002]))
Row(prediction=6.0, features=DenseVector([32.0, 42.0, 29.0]), label=6.0, probability=DenseVector([0.0718, 0.0644, 0.0084, 0.0061, 0.0436, 0.0001, 0.6214, 0.0081, 0.0116, 0.0595, 0.0837, 0.0019, 0.0192, 0.0002]))
Row(prediction=6.0, features=DenseVector([32.0, 42.0, 40.0]), label=9.0, probability=DenseVector([0.0852, 0.0601, 0.0185, 0.015, 0.0571, 0.0073, 0.5177, 0.0107, 0.017, 0.0841, 0.1005, 0.0034, 0.0227, 0.0005]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 44.0]), label=6.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 45.0]), label=6.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 46.0]), label=0.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 49.0]), label=13.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=13.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=6.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=0.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=5.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=11.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=11.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=0.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 52.0]), label=11.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 52.0]), label=11.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 55.0]), label=6.0, probability=DenseVector([0.0313, 0.0629, 0.1617, 0.2397, 0.0221, 0.1903, 0.0097, 0.053, 0.0855, 0.0498, 0.0076, 0.016, 0.0286, 0.0417]))
Row(prediction=6.0, features=DenseVector([32.0, 43.0, 37.0]), label=6.0, probability=DenseVector([0.1, 0.0577, 0.0133, 0.0115, 0.0521, 0.0073, 0.5375, 0.0093, 0.0161, 0.077, 0.0944, 0.0027, 0.0209, 0.0002]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 42.0]), label=0.0, probability=DenseVector([0.0574, 0.0516, 0.1316, 0.1985, 0.0508, 0.0439, 0.1224, 0.0282, 0.0412, 0.0964, 0.0549, 0.0197, 0.0221, 0.0812]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 47.0]), label=9.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 48.0]), label=11.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 49.0]), label=6.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=13.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=13.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=5.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=5.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=5.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=5.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=5.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=5.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=11.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 52.0]), label=13.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 53.0]), label=9.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 54.0]), label=5.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=6.0, features=DenseVector([32.0, 44.0, 23.0]), label=6.0, probability=DenseVector([0.0898, 0.0701, 0.0119, 0.0081, 0.0436, 0.0002, 0.6032, 0.0088, 0.0135, 0.0573, 0.0718, 0.0023, 0.019, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 44.0, 25.0]), label=6.0, probability=DenseVector([0.0898, 0.0701, 0.0119, 0.0081, 0.0436, 0.0002, 0.6032, 0.0088, 0.0135, 0.0573, 0.0718, 0.0023, 0.019, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 44.0, 30.0]), label=6.0, probability=DenseVector([0.1, 0.0603, 0.0134, 0.0115, 0.0478, 0.0073, 0.5609, 0.0095, 0.0143, 0.0724, 0.08, 0.0027, 0.0197, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 44.0, 31.0]), label=6.0, probability=DenseVector([0.1, 0.0603, 0.0134, 0.0115, 0.0478, 0.0073, 0.5609, 0.0095, 0.0143, 0.0724, 0.08, 0.0027, 0.0197, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 44.0, 34.0]), label=6.0, probability=DenseVector([0.1, 0.0603, 0.0134, 0.0115, 0.0478, 0.0073, 0.5609, 0.0095, 0.0143, 0.0724, 0.08, 0.0027, 0.0197, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 44.0, 41.0]), label=11.0, probability=DenseVector([0.0835, 0.0694, 0.054, 0.0693, 0.0491, 0.0166, 0.4172, 0.0155, 0.0248, 0.083, 0.0623, 0.0106, 0.0234, 0.0212]))
Row(prediction=6.0, features=DenseVector([32.0, 44.0, 41.0]), label=6.0, probability=DenseVector([0.0835, 0.0694, 0.054, 0.0693, 0.0491, 0.0166, 0.4172, 0.0155, 0.0248, 0.083, 0.0623, 0.0106, 0.0234, 0.0212]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 43.0]), label=6.0, probability=DenseVector([0.0426, 0.0477, 0.1619, 0.2492, 0.0346, 0.0574, 0.0691, 0.0322, 0.0478, 0.0818, 0.0278, 0.0207, 0.0207, 0.1063]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 45.0]), label=11.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 48.0]), label=0.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=13.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=11.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 51.0]), label=5.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 51.0]), label=0.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=6.0, features=DenseVector([32.0, 45.0, 29.0]), label=6.0, probability=DenseVector([0.0898, 0.0701, 0.0119, 0.0081, 0.0436, 0.0002, 0.6032, 0.0088, 0.0135, 0.0573, 0.0718, 0.0023, 0.019, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 45.0, 33.0]), label=6.0, probability=DenseVector([0.1, 0.0603, 0.0134, 0.0115, 0.0478, 0.0073, 0.5609, 0.0095, 0.0143, 0.0724, 0.08, 0.0027, 0.0197, 0.0004]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 43.0]), label=0.0, probability=DenseVector([0.041, 0.0438, 0.1644, 0.2539, 0.0342, 0.0531, 0.0697, 0.0307, 0.0452, 0.0818, 0.0272, 0.02, 0.0193, 0.1155]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 44.0]), label=0.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 44.0]), label=5.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 44.0]), label=13.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 47.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 47.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 47.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 47.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=5.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=13.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=13.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=13.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=13.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 50.0]), label=5.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 51.0]), label=3.0, probability=DenseVector([0.0267, 0.0536, 0.1899, 0.2836, 0.016, 0.1251, 0.0161, 0.0522, 0.0753, 0.0323, 0.0066, 0.0129, 0.0219, 0.088]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 52.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 53.0]), label=5.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 53.0]), label=9.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=6.0, features=DenseVector([32.0, 46.0, 33.0]), label=6.0, probability=DenseVector([0.1061, 0.0604, 0.0128, 0.0115, 0.0469, 0.0072, 0.5746, 0.0098, 0.0161, 0.0621, 0.0711, 0.0027, 0.0183, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 46.0, 34.0]), label=6.0, probability=DenseVector([0.1061, 0.0604, 0.0128, 0.0115, 0.0469, 0.0072, 0.5746, 0.0098, 0.0161, 0.0621, 0.0711, 0.0027, 0.0183, 0.0004]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 44.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 44.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 44.0]), label=0.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 45.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 46.0]), label=9.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=11.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=5.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=13.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=13.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=13.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=13.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=13.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=13.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=13.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=9.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 50.0]), label=5.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 52.0]), label=5.0, probability=DenseVector([0.0233, 0.0517, 0.1651, 0.2517, 0.0176, 0.1954, 0.0147, 0.045, 0.0713, 0.0419, 0.0061, 0.0159, 0.0239, 0.0765]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 62.0]), label=9.0, probability=DenseVector([0.0212, 0.0555, 0.1432, 0.2319, 0.0313, 0.1438, 0.0139, 0.0378, 0.0732, 0.1132, 0.0081, 0.0181, 0.036, 0.0728]))
Row(prediction=6.0, features=DenseVector([32.0, 47.0, 23.0]), label=6.0, probability=DenseVector([0.0991, 0.0665, 0.0137, 0.0121, 0.0408, 0.0002, 0.6207, 0.0111, 0.0194, 0.0501, 0.0472, 0.0032, 0.0156, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 47.0, 41.0]), label=9.0, probability=DenseVector([0.071, 0.0578, 0.077, 0.1033, 0.0389, 0.0118, 0.4186, 0.0162, 0.04, 0.0677, 0.0367, 0.0086, 0.0188, 0.0337]))
Row(prediction=6.0, features=DenseVector([32.0, 47.0, 41.0]), label=6.0, probability=DenseVector([0.071, 0.0578, 0.077, 0.1033, 0.0389, 0.0118, 0.4186, 0.0162, 0.04, 0.0677, 0.0367, 0.0086, 0.0188, 0.0337]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 43.0]), label=6.0, probability=DenseVector([0.0194, 0.0365, 0.1956, 0.3075, 0.018, 0.0414, 0.0604, 0.028, 0.0465, 0.0489, 0.0115, 0.0118, 0.0152, 0.1594]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 45.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 45.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 45.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 45.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=12.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=13.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=13.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=13.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 49.0]), label=13.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 51.0]), label=5.0, probability=DenseVector([0.0186, 0.0433, 0.203, 0.3009, 0.0144, 0.0902, 0.0241, 0.0394, 0.0587, 0.0373, 0.0051, 0.0124, 0.0187, 0.1338]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 52.0]), label=9.0, probability=DenseVector([0.0224, 0.0543, 0.1587, 0.2479, 0.0168, 0.1893, 0.0175, 0.0437, 0.0737, 0.0479, 0.0065, 0.0185, 0.027, 0.0757]))
Row(prediction=6.0, features=DenseVector([32.0, 48.0, 31.0]), label=6.0, probability=DenseVector([0.0757, 0.054, 0.02, 0.0251, 0.0321, 0.0, 0.6601, 0.0164, 0.0295, 0.0423, 0.023, 0.0063, 0.0149, 0.0005]))
Row(prediction=6.0, features=DenseVector([32.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.0757, 0.054, 0.02, 0.0251, 0.0321, 0.0, 0.6601, 0.0164, 0.0295, 0.0423, 0.023, 0.0063, 0.0149, 0.0005]))
Row(prediction=6.0, features=DenseVector([32.0, 48.0, 40.0]), label=0.0, probability=DenseVector([0.0773, 0.0525, 0.053, 0.0509, 0.0349, 0.0001, 0.5277, 0.0153, 0.0629, 0.0641, 0.0262, 0.0106, 0.0236, 0.0009]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 44.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 44.0]), label=6.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 45.0]), label=6.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=6.0, features=DenseVector([32.0, 49.0, 12.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 49.0, 24.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 49.0, 27.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 49.0, 29.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 49.0, 30.0]), label=6.0, probability=DenseVector([0.0757, 0.054, 0.02, 0.0251, 0.0321, 0.0, 0.6601, 0.0164, 0.0295, 0.0423, 0.023, 0.0063, 0.0149, 0.0005]))
Row(prediction=6.0, features=DenseVector([32.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.0757, 0.054, 0.02, 0.0251, 0.0321, 0.0, 0.6601, 0.0164, 0.0295, 0.0423, 0.023, 0.0063, 0.0149, 0.0005]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0335, 0.0408, 0.1641, 0.2723, 0.0266, 0.0296, 0.1407, 0.0247, 0.0431, 0.0533, 0.0202, 0.0121, 0.0154, 0.1237]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0335, 0.0408, 0.1641, 0.2723, 0.0266, 0.0296, 0.1407, 0.0247, 0.0431, 0.0533, 0.0202, 0.0121, 0.0154, 0.1237]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 42.0]), label=6.0, probability=DenseVector([0.0335, 0.0408, 0.1641, 0.2723, 0.0266, 0.0296, 0.1407, 0.0247, 0.0431, 0.0533, 0.0202, 0.0121, 0.0154, 0.1237]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0184, 0.0358, 0.1956, 0.3187, 0.0171, 0.0397, 0.0624, 0.0274, 0.0471, 0.0479, 0.0106, 0.0118, 0.0148, 0.1526]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 43.0]), label=13.0, probability=DenseVector([0.0184, 0.0358, 0.1956, 0.3187, 0.0171, 0.0397, 0.0624, 0.0274, 0.0471, 0.0479, 0.0106, 0.0118, 0.0148, 0.1526]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=6.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 47.0]), label=5.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 52.0]), label=5.0, probability=DenseVector([0.0224, 0.0543, 0.1587, 0.2479, 0.0168, 0.1893, 0.0175, 0.0437, 0.0737, 0.0479, 0.0065, 0.0185, 0.027, 0.0757]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 56.0]), label=9.0, probability=DenseVector([0.0195, 0.0611, 0.1343, 0.2195, 0.0351, 0.1373, 0.0145, 0.0352, 0.0725, 0.1308, 0.0089, 0.0186, 0.0406, 0.072]))
Row(prediction=6.0, features=DenseVector([32.0, 50.0, 27.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.0736, 0.0534, 0.0179, 0.0226, 0.0314, 0.0, 0.6746, 0.0155, 0.0264, 0.0411, 0.0228, 0.006, 0.0143, 0.0004]))
Row(prediction=6.0, features=DenseVector([32.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0757, 0.054, 0.02, 0.0251, 0.0321, 0.0, 0.6601, 0.0164, 0.0295, 0.0423, 0.023, 0.0063, 0.0149, 0.0005]))
Row(prediction=6.0, features=DenseVector([32.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0757, 0.054, 0.02, 0.0251, 0.0321, 0.0, 0.6601, 0.0164, 0.0295, 0.0423, 0.023, 0.0063, 0.0149, 0.0005]))
Row(prediction=6.0, features=DenseVector([32.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0729, 0.048, 0.0501, 0.0517, 0.0322, 0.0001, 0.5431, 0.014, 0.0641, 0.0644, 0.024, 0.011, 0.0237, 0.0008]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 43.0]), label=13.0, probability=DenseVector([0.0184, 0.0358, 0.1956, 0.3187, 0.0171, 0.0397, 0.0624, 0.0274, 0.0471, 0.0479, 0.0106, 0.0118, 0.0148, 0.1526]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 43.0]), label=6.0, probability=DenseVector([0.0184, 0.0358, 0.1956, 0.3187, 0.0171, 0.0397, 0.0624, 0.0274, 0.0471, 0.0479, 0.0106, 0.0118, 0.0148, 0.1526]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=6.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 46.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 47.0]), label=13.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 47.0]), label=6.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 50.0]), label=5.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.0494, 0.0292, 0.0915, 0.1158, 0.0204, 0.0001, 0.4594, 0.0106, 0.1175, 0.0594, 0.0088, 0.0143, 0.0187, 0.0052]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0364, 0.0284, 0.1229, 0.1828, 0.0175, 0.0046, 0.3588, 0.0133, 0.111, 0.0552, 0.005, 0.0148, 0.0107, 0.0384]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0137, 0.0305, 0.1925, 0.3564, 0.0184, 0.0251, 0.0671, 0.0196, 0.0529, 0.0565, 0.0075, 0.0117, 0.0129, 0.1352]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 43.0]), label=13.0, probability=DenseVector([0.0127, 0.0303, 0.2026, 0.3601, 0.0172, 0.0253, 0.0525, 0.0201, 0.0535, 0.0549, 0.0074, 0.0104, 0.0128, 0.1401]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 43.0]), label=13.0, probability=DenseVector([0.0127, 0.0303, 0.2026, 0.3601, 0.0172, 0.0253, 0.0525, 0.0201, 0.0535, 0.0549, 0.0074, 0.0104, 0.0128, 0.1401]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 43.0]), label=13.0, probability=DenseVector([0.0127, 0.0303, 0.2026, 0.3601, 0.0172, 0.0253, 0.0525, 0.0201, 0.0535, 0.0549, 0.0074, 0.0104, 0.0128, 0.1401]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 43.0]), label=6.0, probability=DenseVector([0.0127, 0.0303, 0.2026, 0.3601, 0.0172, 0.0253, 0.0525, 0.0201, 0.0535, 0.0549, 0.0074, 0.0104, 0.0128, 0.1401]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 44.0]), label=13.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 44.0]), label=11.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 45.0]), label=13.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 45.0]), label=13.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 46.0]), label=6.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 47.0]), label=9.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 49.0]), label=2.0, probability=DenseVector([0.0158, 0.04, 0.2062, 0.3361, 0.0172, 0.0443, 0.0422, 0.0317, 0.0586, 0.0484, 0.0065, 0.0109, 0.0165, 0.1256]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 27.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 35.0]), label=6.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 39.0]), label=9.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 41.0]), label=11.0, probability=DenseVector([0.0364, 0.0284, 0.1229, 0.1828, 0.0175, 0.0046, 0.3588, 0.0133, 0.111, 0.0552, 0.005, 0.0148, 0.0107, 0.0384]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 42.0]), label=6.0, probability=DenseVector([0.0137, 0.0305, 0.1925, 0.3564, 0.0184, 0.0251, 0.0671, 0.0196, 0.0529, 0.0565, 0.0075, 0.0117, 0.0129, 0.1352]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 42.0]), label=6.0, probability=DenseVector([0.0137, 0.0305, 0.1925, 0.3564, 0.0184, 0.0251, 0.0671, 0.0196, 0.0529, 0.0565, 0.0075, 0.0117, 0.0129, 0.1352]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 43.0]), label=13.0, probability=DenseVector([0.0127, 0.0303, 0.2026, 0.3601, 0.0172, 0.0253, 0.0525, 0.0201, 0.0535, 0.0549, 0.0074, 0.0104, 0.0128, 0.1401]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 44.0]), label=6.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 45.0]), label=13.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 47.0]), label=5.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 28.0]), label=11.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 31.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 38.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 53.0, 62.0]), label=9.0, probability=DenseVector([0.0149, 0.0511, 0.1346, 0.2455, 0.0355, 0.0485, 0.0392, 0.0242, 0.064, 0.2194, 0.0069, 0.0142, 0.0353, 0.0667]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 21.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 21.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 22.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 26.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 27.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 27.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 33.0]), label=0.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 35.0]), label=8.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 37.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 38.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 38.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 38.0]), label=8.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 39.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 39.0]), label=6.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 54.0, 43.0]), label=6.0, probability=DenseVector([0.0142, 0.0333, 0.1845, 0.342, 0.0187, 0.0252, 0.079, 0.0197, 0.0494, 0.0646, 0.0067, 0.0109, 0.0136, 0.138]))
Row(prediction=3.0, features=DenseVector([32.0, 54.0, 51.0]), label=9.0, probability=DenseVector([0.0157, 0.0426, 0.1825, 0.3095, 0.0217, 0.0716, 0.0357, 0.0308, 0.0596, 0.0864, 0.0051, 0.01, 0.0187, 0.1101]))
Row(prediction=6.0, features=DenseVector([32.0, 55.0, 18.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 55.0, 25.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 55.0, 26.0]), label=6.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 55.0, 31.0]), label=6.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.0646, 0.0339, 0.0297, 0.0464, 0.0221, 0.0, 0.65, 0.0137, 0.0615, 0.0426, 0.0074, 0.0074, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 55.0, 35.0]), label=6.0, probability=DenseVector([0.0646, 0.0339, 0.0297, 0.0464, 0.0221, 0.0, 0.65, 0.0137, 0.0615, 0.0426, 0.0074, 0.0074, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 55.0, 37.0]), label=8.0, probability=DenseVector([0.063, 0.0313, 0.0412, 0.0573, 0.0214, 0.0, 0.6029, 0.012, 0.0755, 0.0554, 0.0088, 0.0102, 0.021, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 55.0, 46.0]), label=3.0, probability=DenseVector([0.015, 0.0402, 0.1716, 0.2895, 0.0212, 0.026, 0.1142, 0.0204, 0.0422, 0.0895, 0.0068, 0.0101, 0.0163, 0.137]))
Row(prediction=6.0, features=DenseVector([32.0, 56.0, 29.0]), label=6.0, probability=DenseVector([0.0578, 0.0356, 0.0113, 0.026, 0.0243, 0.0, 0.7501, 0.0162, 0.0263, 0.0297, 0.0051, 0.0055, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 56.0, 29.0]), label=6.0, probability=DenseVector([0.0578, 0.0356, 0.0113, 0.026, 0.0243, 0.0, 0.7501, 0.0162, 0.0263, 0.0297, 0.0051, 0.0055, 0.0121, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 56.0, 30.0]), label=6.0, probability=DenseVector([0.0598, 0.0362, 0.0133, 0.0286, 0.0251, 0.0, 0.7356, 0.017, 0.0294, 0.031, 0.0053, 0.0058, 0.0128, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 56.0, 34.0]), label=6.0, probability=DenseVector([0.0598, 0.0362, 0.0133, 0.0286, 0.0251, 0.0, 0.7356, 0.017, 0.0294, 0.031, 0.0053, 0.0058, 0.0128, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 56.0, 35.0]), label=6.0, probability=DenseVector([0.0596, 0.0311, 0.0284, 0.0439, 0.0198, 0.0, 0.6703, 0.0124, 0.0589, 0.0428, 0.0073, 0.0068, 0.0185, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 56.0, 35.0]), label=6.0, probability=DenseVector([0.0596, 0.0311, 0.0284, 0.0439, 0.0198, 0.0, 0.6703, 0.0124, 0.0589, 0.0428, 0.0073, 0.0068, 0.0185, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 56.0, 35.0]), label=6.0, probability=DenseVector([0.0596, 0.0311, 0.0284, 0.0439, 0.0198, 0.0, 0.6703, 0.0124, 0.0589, 0.0428, 0.0073, 0.0068, 0.0185, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 56.0, 44.0]), label=6.0, probability=DenseVector([0.0173, 0.0379, 0.1686, 0.272, 0.0225, 0.0258, 0.1436, 0.0207, 0.0417, 0.083, 0.0069, 0.0108, 0.0159, 0.1333]))
Row(prediction=6.0, features=DenseVector([32.0, 57.0, 26.0]), label=11.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 57.0, 29.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 57.0, 29.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 57.0, 45.0]), label=6.0, probability=DenseVector([0.0166, 0.0355, 0.166, 0.2635, 0.0254, 0.0258, 0.1447, 0.0207, 0.0421, 0.0952, 0.0075, 0.0097, 0.0155, 0.1317]))
Row(prediction=9.0, features=DenseVector([32.0, 57.0, 54.0]), label=9.0, probability=DenseVector([0.0174, 0.0475, 0.1054, 0.1764, 0.044, 0.0554, 0.072, 0.0266, 0.0643, 0.2831, 0.007, 0.011, 0.0354, 0.0544]))
Row(prediction=6.0, features=DenseVector([32.0, 58.0, 23.0]), label=6.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 58.0, 30.0]), label=6.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 58.0, 44.0]), label=6.0, probability=DenseVector([0.0166, 0.0369, 0.1667, 0.2629, 0.022, 0.0258, 0.1364, 0.0207, 0.0402, 0.1066, 0.0069, 0.0097, 0.0169, 0.1317]))
Row(prediction=9.0, features=DenseVector([32.0, 58.0, 60.0]), label=9.0, probability=DenseVector([0.0164, 0.0492, 0.0988, 0.1677, 0.0424, 0.0488, 0.0637, 0.0247, 0.0616, 0.3149, 0.0065, 0.0128, 0.04, 0.0526]))
Row(prediction=6.0, features=DenseVector([32.0, 59.0, 19.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 59.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 59.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 59.0, 49.0]), label=6.0, probability=DenseVector([0.0166, 0.044, 0.1621, 0.2456, 0.0242, 0.0441, 0.0948, 0.032, 0.0474, 0.1445, 0.0059, 0.0093, 0.0211, 0.1083]))
Row(prediction=6.0, features=DenseVector([32.0, 60.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 60.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 60.0, 33.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 60.0, 36.0]), label=6.0, probability=DenseVector([0.0484, 0.0266, 0.0178, 0.0262, 0.0171, 0.0, 0.7499, 0.0095, 0.0328, 0.0459, 0.007, 0.0053, 0.0133, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 60.0, 41.0]), label=6.0, probability=DenseVector([0.0358, 0.0374, 0.073, 0.1096, 0.0182, 0.0045, 0.5296, 0.0133, 0.0573, 0.0603, 0.0044, 0.013, 0.0117, 0.0319]))
Row(prediction=6.0, features=DenseVector([32.0, 61.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 61.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 61.0, 32.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 61.0, 43.0]), label=6.0, probability=DenseVector([0.0148, 0.0402, 0.1525, 0.2418, 0.0182, 0.0251, 0.2191, 0.0196, 0.0372, 0.0828, 0.0061, 0.009, 0.014, 0.1197]))
Row(prediction=6.0, features=DenseVector([32.0, 62.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 62.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 62.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 62.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 62.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 62.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 62.0, 24.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 62.0, 30.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 62.0, 32.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 17.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 26.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 28.0]), label=6.0, probability=DenseVector([0.0384, 0.0245, 0.0091, 0.0148, 0.0149, 0.0, 0.8284, 0.0087, 0.0192, 0.0251, 0.0046, 0.0034, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 63.0, 36.0]), label=6.0, probability=DenseVector([0.0484, 0.0266, 0.0178, 0.0262, 0.0171, 0.0, 0.7499, 0.0095, 0.0328, 0.0459, 0.007, 0.0053, 0.0133, 0.0001]))
Row(prediction=5.0, features=DenseVector([33.0, 10.0, 52.0]), label=5.0, probability=DenseVector([0.007, 0.1627, 0.0765, 0.2389, 0.0068, 0.2636, 0.0012, 0.0515, 0.0407, 0.0773, 0.0036, 0.0227, 0.0408, 0.0065]))
Row(prediction=5.0, features=DenseVector([33.0, 12.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0063, 0.1009, 0.0113, 0.0542, 0.0091, 0.6279, 0.0462, 0.0009, 0.0033, 0.1075, 0.0043, 0.0017, 0.0264, 0.0001]))
Row(prediction=5.0, features=DenseVector([33.0, 13.0, 41.0]), label=5.0, probability=DenseVector([0.0063, 0.1009, 0.0113, 0.0542, 0.0091, 0.6279, 0.0462, 0.0009, 0.0033, 0.1075, 0.0043, 0.0017, 0.0264, 0.0001]))
Row(prediction=5.0, features=DenseVector([33.0, 13.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([33.0, 13.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 13.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 13.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 13.0, 49.0]), label=5.0, probability=DenseVector([0.012, 0.1107, 0.1026, 0.0864, 0.0133, 0.498, 0.0032, 0.0177, 0.0244, 0.0699, 0.0101, 0.0136, 0.0306, 0.0075]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 40.0]), label=5.0, probability=DenseVector([0.0063, 0.105, 0.0059, 0.0617, 0.0107, 0.527, 0.0574, 0.0009, 0.005, 0.171, 0.0043, 0.0187, 0.0261, 0.0001]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 41.0]), label=5.0, probability=DenseVector([0.0063, 0.1009, 0.0113, 0.0542, 0.0091, 0.6279, 0.0462, 0.0009, 0.0033, 0.1075, 0.0043, 0.0017, 0.0264, 0.0001]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 47.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 14.0, 49.0]), label=5.0, probability=DenseVector([0.012, 0.1107, 0.1026, 0.0864, 0.0133, 0.498, 0.0032, 0.0177, 0.0244, 0.0699, 0.0101, 0.0136, 0.0306, 0.0075]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 40.0]), label=5.0, probability=DenseVector([0.0063, 0.105, 0.0059, 0.0617, 0.0107, 0.527, 0.0574, 0.0009, 0.005, 0.171, 0.0043, 0.0187, 0.0261, 0.0001]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 41.0]), label=5.0, probability=DenseVector([0.0063, 0.1009, 0.0113, 0.0542, 0.0091, 0.6279, 0.0462, 0.0009, 0.0033, 0.1075, 0.0043, 0.0017, 0.0264, 0.0001]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 15.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 39.0]), label=9.0, probability=DenseVector([0.0063, 0.119, 0.0059, 0.0626, 0.0114, 0.4982, 0.0653, 0.0009, 0.0052, 0.1749, 0.0043, 0.0187, 0.0272, 0.0001]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 41.0]), label=5.0, probability=DenseVector([0.0063, 0.1009, 0.0113, 0.0542, 0.0091, 0.6279, 0.0462, 0.0009, 0.0033, 0.1075, 0.0043, 0.0017, 0.0264, 0.0001]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 42.0]), label=5.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 47.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 47.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 48.0]), label=5.0, probability=DenseVector([0.0103, 0.1114, 0.0843, 0.0758, 0.0127, 0.5198, 0.0055, 0.0152, 0.0211, 0.0858, 0.009, 0.0112, 0.0321, 0.0059]))
Row(prediction=5.0, features=DenseVector([33.0, 16.0, 51.0]), label=5.0, probability=DenseVector([0.0136, 0.112, 0.1057, 0.1118, 0.0136, 0.4317, 0.003, 0.0262, 0.0324, 0.0816, 0.0104, 0.016, 0.0319, 0.01]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 47.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 47.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 48.0]), label=5.0, probability=DenseVector([0.0103, 0.1114, 0.0843, 0.0758, 0.0127, 0.5198, 0.0055, 0.0152, 0.0211, 0.0858, 0.009, 0.0112, 0.0321, 0.0059]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 44.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 47.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 48.0]), label=5.0, probability=DenseVector([0.0103, 0.1114, 0.0843, 0.0758, 0.0127, 0.5198, 0.0055, 0.0152, 0.0211, 0.0858, 0.009, 0.0112, 0.0321, 0.0059]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 48.0]), label=5.0, probability=DenseVector([0.0103, 0.1114, 0.0843, 0.0758, 0.0127, 0.5198, 0.0055, 0.0152, 0.0211, 0.0858, 0.009, 0.0112, 0.0321, 0.0059]))
Row(prediction=5.0, features=DenseVector([33.0, 19.0, 43.0]), label=5.0, probability=DenseVector([0.0094, 0.0983, 0.0764, 0.0556, 0.0119, 0.5584, 0.0083, 0.0116, 0.0179, 0.0946, 0.0089, 0.0102, 0.0334, 0.005]))
Row(prediction=5.0, features=DenseVector([33.0, 19.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 19.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 19.0, 48.0]), label=5.0, probability=DenseVector([0.0103, 0.1114, 0.0843, 0.0758, 0.0127, 0.5198, 0.0055, 0.0152, 0.0211, 0.0858, 0.009, 0.0112, 0.0321, 0.0059]))
Row(prediction=5.0, features=DenseVector([33.0, 20.0, 45.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 20.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 20.0, 47.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 20.0, 48.0]), label=12.0, probability=DenseVector([0.0103, 0.1114, 0.0843, 0.0758, 0.0127, 0.5198, 0.0055, 0.0152, 0.0211, 0.0858, 0.009, 0.0112, 0.0321, 0.0059]))
Row(prediction=5.0, features=DenseVector([33.0, 20.0, 49.0]), label=5.0, probability=DenseVector([0.012, 0.1107, 0.1026, 0.0864, 0.0133, 0.498, 0.0032, 0.0177, 0.0244, 0.0699, 0.0101, 0.0136, 0.0306, 0.0075]))
Row(prediction=5.0, features=DenseVector([33.0, 20.0, 49.0]), label=5.0, probability=DenseVector([0.012, 0.1107, 0.1026, 0.0864, 0.0133, 0.498, 0.0032, 0.0177, 0.0244, 0.0699, 0.0101, 0.0136, 0.0306, 0.0075]))
Row(prediction=5.0, features=DenseVector([33.0, 20.0, 49.0]), label=5.0, probability=DenseVector([0.012, 0.1107, 0.1026, 0.0864, 0.0133, 0.498, 0.0032, 0.0177, 0.0244, 0.0699, 0.0101, 0.0136, 0.0306, 0.0075]))
Row(prediction=5.0, features=DenseVector([33.0, 21.0, 46.0]), label=5.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 21.0, 51.0]), label=5.0, probability=DenseVector([0.0136, 0.112, 0.1057, 0.1118, 0.0136, 0.4317, 0.003, 0.0262, 0.0324, 0.0816, 0.0104, 0.016, 0.0319, 0.01]))
Row(prediction=5.0, features=DenseVector([33.0, 23.0, 51.0]), label=5.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=6.0, features=DenseVector([33.0, 24.0, 35.0]), label=9.0, probability=DenseVector([0.0433, 0.1417, 0.0122, 0.0435, 0.0329, 0.0346, 0.2961, 0.0048, 0.0115, 0.2872, 0.0445, 0.0099, 0.0363, 0.0015]))
Row(prediction=5.0, features=DenseVector([33.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0171, 0.1353, 0.1323, 0.1198, 0.0175, 0.3687, 0.0057, 0.0256, 0.0355, 0.069, 0.0127, 0.0196, 0.0322, 0.0089]))
Row(prediction=5.0, features=DenseVector([33.0, 24.0, 51.0]), label=5.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([33.0, 24.0, 52.0]), label=12.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 25.0, 52.0]), label=5.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([33.0, 26.0, 53.0]), label=5.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 27.0, 51.0]), label=5.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 51.0]), label=5.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=6.0, features=DenseVector([33.0, 29.0, 32.0]), label=9.0, probability=DenseVector([0.0565, 0.0664, 0.0102, 0.0185, 0.0391, 0.0208, 0.4116, 0.0062, 0.0098, 0.2566, 0.0637, 0.0109, 0.0283, 0.0015]))
Row(prediction=6.0, features=DenseVector([33.0, 30.0, 29.0]), label=9.0, probability=DenseVector([0.0556, 0.0621, 0.0095, 0.0176, 0.0382, 0.0193, 0.45, 0.006, 0.0093, 0.2262, 0.0628, 0.015, 0.0271, 0.0014]))
Row(prediction=6.0, features=DenseVector([33.0, 30.0, 34.0]), label=9.0, probability=DenseVector([0.0573, 0.0658, 0.0102, 0.0182, 0.0405, 0.0208, 0.4145, 0.006, 0.0098, 0.2476, 0.0646, 0.0152, 0.028, 0.0015]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 43.0]), label=9.0, probability=DenseVector([0.0258, 0.112, 0.1172, 0.138, 0.0278, 0.2727, 0.0331, 0.0237, 0.0373, 0.1032, 0.0214, 0.0162, 0.0367, 0.0347]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 52.0]), label=11.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 53.0]), label=12.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=6.0, features=DenseVector([33.0, 31.0, 36.0]), label=6.0, probability=DenseVector([0.0584, 0.0654, 0.0123, 0.0199, 0.0409, 0.0208, 0.4021, 0.0059, 0.012, 0.2507, 0.0654, 0.0155, 0.0293, 0.0015]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 51.0]), label=5.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 51.0]), label=9.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=6.0, features=DenseVector([33.0, 32.0, 36.0]), label=6.0, probability=DenseVector([0.0768, 0.0547, 0.0124, 0.0203, 0.0517, 0.0204, 0.4782, 0.0079, 0.0141, 0.141, 0.0949, 0.0029, 0.0231, 0.0015]))
Row(prediction=6.0, features=DenseVector([33.0, 32.0, 37.0]), label=6.0, probability=DenseVector([0.0768, 0.0547, 0.0124, 0.0203, 0.0517, 0.0204, 0.4782, 0.0079, 0.0141, 0.141, 0.0949, 0.0029, 0.0231, 0.0015]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 52.0]), label=5.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 52.0]), label=5.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=5.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=5.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=5.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=5.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=5.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=5.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=5.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=11.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=11.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 54.0]), label=5.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 54.0]), label=5.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 54.0]), label=11.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=6.0, features=DenseVector([33.0, 33.0, 41.0]), label=9.0, probability=DenseVector([0.0641, 0.1013, 0.043, 0.0559, 0.0521, 0.0473, 0.3333, 0.0152, 0.0253, 0.1438, 0.072, 0.0077, 0.0352, 0.0037]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 51.0]), label=5.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 51.0]), label=5.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))

IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
`--NotebookApp.iopub_data_rate_limit`.

Current values:
NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)
NotebookApp.rate_limit_window=3.0 (secs)


Row(prediction=6.0, features=DenseVector([37.0, 61.0, 23.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 61.0, 32.0]), label=6.0, probability=DenseVector([0.0387, 0.0252, 0.0111, 0.0171, 0.0143, 0.0, 0.8164, 0.0092, 0.0225, 0.0291, 0.0029, 0.0039, 0.0094, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 61.0, 36.0]), label=6.0, probability=DenseVector([0.0447, 0.0276, 0.0183, 0.025, 0.0171, 0.0, 0.745, 0.0091, 0.0316, 0.0487, 0.007, 0.0062, 0.0194, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 61.0, 39.0]), label=6.0, probability=DenseVector([0.0443, 0.027, 0.0247, 0.0308, 0.0167, 0.0, 0.7232, 0.0084, 0.0393, 0.0512, 0.0073, 0.0075, 0.0193, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 62.0, 8.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 62.0, 14.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 62.0, 15.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 62.0, 16.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 62.0, 16.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 62.0, 28.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 3.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 7.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 9.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 11.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 13.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 17.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 24.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 29.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 33.0]), label=6.0, probability=DenseVector([0.0387, 0.0252, 0.0111, 0.0171, 0.0143, 0.0, 0.8164, 0.0092, 0.0225, 0.0291, 0.0029, 0.0039, 0.0094, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0387, 0.0252, 0.0111, 0.0171, 0.0143, 0.0, 0.8164, 0.0092, 0.0225, 0.0291, 0.0029, 0.0039, 0.0094, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 35.0]), label=6.0, probability=DenseVector([0.0449, 0.0282, 0.0168, 0.0221, 0.0172, 0.0, 0.7601, 0.01, 0.0288, 0.0414, 0.0064, 0.0054, 0.0186, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 40.0]), label=6.0, probability=DenseVector([0.0417, 0.0335, 0.0401, 0.0401, 0.019, 0.0, 0.6693, 0.0091, 0.0599, 0.0579, 0.007, 0.0089, 0.0122, 0.0013]))
Row(prediction=6.0, features=DenseVector([37.0, 63.0, 41.0]), label=6.0, probability=DenseVector([0.0352, 0.0386, 0.0768, 0.1115, 0.0175, 0.0053, 0.5081, 0.013, 0.0688, 0.0578, 0.0044, 0.0105, 0.0119, 0.0409]))
Row(prediction=3.0, features=DenseVector([37.0, 63.0, 44.0]), label=6.0, probability=DenseVector([0.0148, 0.0373, 0.1473, 0.2683, 0.019, 0.0264, 0.1816, 0.0195, 0.036, 0.0816, 0.0063, 0.0099, 0.0153, 0.1367]))
Row(prediction=9.0, features=DenseVector([38.0, 0.0, 41.0]), label=9.0, probability=DenseVector([0.02, 0.1146, 0.0209, 0.0101, 0.0204, 0.2071, 0.0556, 0.0018, 0.0066, 0.4581, 0.0117, 0.0336, 0.0394, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 7.0, 19.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=5.0, features=DenseVector([38.0, 8.0, 44.0]), label=9.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=9.0, features=DenseVector([38.0, 9.0, 35.0]), label=9.0, probability=DenseVector([0.0186, 0.127, 0.0099, 0.022, 0.019, 0.0328, 0.0634, 0.002, 0.0055, 0.6176, 0.0082, 0.0297, 0.0441, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 11.0, 23.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=9.0, features=DenseVector([38.0, 11.0, 36.0]), label=9.0, probability=DenseVector([0.0186, 0.127, 0.0099, 0.022, 0.019, 0.0328, 0.0634, 0.002, 0.0055, 0.6176, 0.0082, 0.0297, 0.0441, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 12.0, 37.0]), label=9.0, probability=DenseVector([0.0236, 0.1242, 0.0122, 0.023, 0.0236, 0.0342, 0.0708, 0.0019, 0.007, 0.5831, 0.0127, 0.0402, 0.0434, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 12.0, 45.0]), label=9.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=9.0, features=DenseVector([38.0, 13.0, 37.0]), label=9.0, probability=DenseVector([0.0236, 0.1242, 0.0122, 0.023, 0.0236, 0.0342, 0.0708, 0.0019, 0.007, 0.5831, 0.0127, 0.0402, 0.0434, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 13.0, 39.0]), label=12.0, probability=DenseVector([0.0226, 0.1204, 0.0159, 0.0165, 0.0233, 0.0643, 0.0732, 0.0018, 0.0084, 0.5497, 0.0127, 0.051, 0.04, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 13.0, 50.0]), label=12.0, probability=DenseVector([0.0144, 0.1193, 0.1545, 0.0634, 0.0149, 0.4497, 0.0021, 0.0135, 0.0204, 0.0801, 0.0119, 0.0229, 0.0269, 0.0061]))
Row(prediction=5.0, features=DenseVector([38.0, 13.0, 51.0]), label=9.0, probability=DenseVector([0.0209, 0.1342, 0.1742, 0.0731, 0.0187, 0.3496, 0.0021, 0.0163, 0.0278, 0.1049, 0.016, 0.0257, 0.0284, 0.008]))
Row(prediction=9.0, features=DenseVector([38.0, 14.0, 28.0]), label=12.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=9.0, features=DenseVector([38.0, 14.0, 33.0]), label=9.0, probability=DenseVector([0.0199, 0.1355, 0.0101, 0.0084, 0.0194, 0.0269, 0.073, 0.0021, 0.0054, 0.619, 0.0083, 0.0295, 0.0424, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 16.0, 50.0]), label=9.0, probability=DenseVector([0.0144, 0.1193, 0.1545, 0.0634, 0.0149, 0.4497, 0.0021, 0.0135, 0.0204, 0.0801, 0.0119, 0.0229, 0.0269, 0.0061]))
Row(prediction=5.0, features=DenseVector([38.0, 18.0, 46.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 18.0, 46.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 18.0, 47.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 46.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 46.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 46.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 47.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 51.0]), label=12.0, probability=DenseVector([0.0209, 0.1342, 0.1742, 0.0731, 0.0187, 0.3496, 0.0021, 0.0163, 0.0278, 0.1049, 0.016, 0.0257, 0.0284, 0.008]))
Row(prediction=5.0, features=DenseVector([38.0, 20.0, 45.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 20.0, 46.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 20.0, 47.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 20.0, 47.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 20.0, 47.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 20.0, 47.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 20.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 20.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 20.0, 51.0]), label=5.0, probability=DenseVector([0.0209, 0.1342, 0.1742, 0.0731, 0.0187, 0.3496, 0.0021, 0.0163, 0.0278, 0.1049, 0.016, 0.0257, 0.0284, 0.008]))
Row(prediction=9.0, features=DenseVector([38.0, 21.0, 28.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=5.0, features=DenseVector([38.0, 21.0, 46.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 21.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 21.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 21.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 21.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 21.0, 49.0]), label=5.0, probability=DenseVector([0.014, 0.1114, 0.1503, 0.056, 0.0149, 0.4704, 0.0023, 0.0117, 0.019, 0.083, 0.012, 0.0218, 0.0273, 0.006]))
Row(prediction=9.0, features=DenseVector([38.0, 22.0, 35.0]), label=9.0, probability=DenseVector([0.0228, 0.1175, 0.012, 0.0105, 0.0208, 0.0266, 0.0839, 0.0026, 0.0081, 0.6112, 0.0112, 0.0298, 0.043, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 22.0, 48.0]), label=11.0, probability=DenseVector([0.0168, 0.1289, 0.1573, 0.0713, 0.0185, 0.3835, 0.0073, 0.0153, 0.0254, 0.101, 0.0135, 0.0244, 0.0308, 0.0058]))
Row(prediction=5.0, features=DenseVector([38.0, 22.0, 48.0]), label=9.0, probability=DenseVector([0.0168, 0.1289, 0.1573, 0.0713, 0.0185, 0.3835, 0.0073, 0.0153, 0.0254, 0.101, 0.0135, 0.0244, 0.0308, 0.0058]))
Row(prediction=5.0, features=DenseVector([38.0, 22.0, 49.0]), label=5.0, probability=DenseVector([0.0186, 0.1282, 0.1757, 0.082, 0.0191, 0.3617, 0.005, 0.0178, 0.0287, 0.0851, 0.0146, 0.0268, 0.0292, 0.0074]))
Row(prediction=5.0, features=DenseVector([38.0, 22.0, 49.0]), label=5.0, probability=DenseVector([0.0186, 0.1282, 0.1757, 0.082, 0.0191, 0.3617, 0.005, 0.0178, 0.0287, 0.0851, 0.0146, 0.0268, 0.0292, 0.0074]))
Row(prediction=9.0, features=DenseVector([38.0, 23.0, 20.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=9.0, features=DenseVector([38.0, 23.0, 38.0]), label=9.0, probability=DenseVector([0.0279, 0.1146, 0.0143, 0.0115, 0.0253, 0.0279, 0.0913, 0.0025, 0.0096, 0.5767, 0.0156, 0.0403, 0.0423, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 23.0, 46.0]), label=5.0, probability=DenseVector([0.0224, 0.1278, 0.1206, 0.0756, 0.0248, 0.3662, 0.0164, 0.0172, 0.0291, 0.117, 0.0196, 0.0165, 0.0405, 0.0064]))
Row(prediction=5.0, features=DenseVector([38.0, 23.0, 47.0]), label=5.0, probability=DenseVector([0.0224, 0.1278, 0.1206, 0.0756, 0.0248, 0.3662, 0.0164, 0.0172, 0.0291, 0.117, 0.0196, 0.0165, 0.0405, 0.0064]))
Row(prediction=5.0, features=DenseVector([38.0, 23.0, 49.0]), label=5.0, probability=DenseVector([0.0186, 0.1282, 0.1757, 0.082, 0.0191, 0.3617, 0.005, 0.0178, 0.0287, 0.0851, 0.0146, 0.0268, 0.0292, 0.0074]))
Row(prediction=5.0, features=DenseVector([38.0, 23.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 23.0, 51.0]), label=5.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=5.0, features=DenseVector([38.0, 23.0, 51.0]), label=5.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=9.0, features=DenseVector([38.0, 24.0, 38.0]), label=9.0, probability=DenseVector([0.0279, 0.1146, 0.0143, 0.0115, 0.0253, 0.0279, 0.0913, 0.0025, 0.0096, 0.5767, 0.0156, 0.0403, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 24.0, 41.0]), label=9.0, probability=DenseVector([0.0299, 0.1388, 0.0399, 0.04, 0.0304, 0.0528, 0.0663, 0.0098, 0.0193, 0.4667, 0.0195, 0.0376, 0.0471, 0.002]))
Row(prediction=5.0, features=DenseVector([38.0, 24.0, 47.0]), label=11.0, probability=DenseVector([0.0224, 0.1278, 0.1206, 0.0756, 0.0248, 0.3662, 0.0164, 0.0172, 0.0291, 0.117, 0.0196, 0.0165, 0.0405, 0.0064]))
Row(prediction=5.0, features=DenseVector([38.0, 24.0, 48.0]), label=5.0, probability=DenseVector([0.0168, 0.1289, 0.1573, 0.0713, 0.0185, 0.3835, 0.0073, 0.0153, 0.0254, 0.101, 0.0135, 0.0244, 0.0308, 0.0058]))
Row(prediction=5.0, features=DenseVector([38.0, 24.0, 49.0]), label=9.0, probability=DenseVector([0.0186, 0.1282, 0.1757, 0.082, 0.0191, 0.3617, 0.005, 0.0178, 0.0287, 0.0851, 0.0146, 0.0268, 0.0292, 0.0074]))
Row(prediction=5.0, features=DenseVector([38.0, 24.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 24.0, 53.0]), label=9.0, probability=DenseVector([0.0246, 0.1965, 0.1834, 0.0862, 0.0204, 0.2027, 0.0015, 0.0215, 0.0392, 0.1421, 0.0128, 0.0302, 0.0325, 0.0064]))
Row(prediction=9.0, features=DenseVector([38.0, 25.0, 38.0]), label=6.0, probability=DenseVector([0.0279, 0.1146, 0.0143, 0.0115, 0.0253, 0.0279, 0.0913, 0.0025, 0.0096, 0.5767, 0.0156, 0.0403, 0.0423, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 25.0, 42.0]), label=6.0, probability=DenseVector([0.0189, 0.1325, 0.0774, 0.0619, 0.0215, 0.3087, 0.0236, 0.0145, 0.0241, 0.2309, 0.0154, 0.02, 0.0459, 0.0047]))
Row(prediction=5.0, features=DenseVector([38.0, 25.0, 48.0]), label=5.0, probability=DenseVector([0.0168, 0.1289, 0.1573, 0.0713, 0.0185, 0.3835, 0.0073, 0.0153, 0.0254, 0.101, 0.0135, 0.0244, 0.0308, 0.0058]))
Row(prediction=5.0, features=DenseVector([38.0, 25.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 25.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 25.0, 50.0]), label=9.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 25.0, 51.0]), label=5.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=9.0, features=DenseVector([38.0, 26.0, 29.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=9.0, features=DenseVector([38.0, 26.0, 39.0]), label=9.0, probability=DenseVector([0.0269, 0.114, 0.0175, 0.0077, 0.0263, 0.0292, 0.0969, 0.0024, 0.0114, 0.569, 0.0156, 0.0421, 0.0409, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 26.0, 47.0]), label=9.0, probability=DenseVector([0.0224, 0.1278, 0.1206, 0.0756, 0.0248, 0.3662, 0.0164, 0.0172, 0.0291, 0.117, 0.0196, 0.0165, 0.0405, 0.0064]))
Row(prediction=5.0, features=DenseVector([38.0, 26.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 26.0, 50.0]), label=12.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 26.0, 51.0]), label=5.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=2.0, features=DenseVector([38.0, 26.0, 52.0]), label=11.0, probability=DenseVector([0.0239, 0.1933, 0.2108, 0.0858, 0.0188, 0.2022, 0.0012, 0.0222, 0.0398, 0.1164, 0.0128, 0.0343, 0.032, 0.0064]))
Row(prediction=2.0, features=DenseVector([38.0, 26.0, 52.0]), label=11.0, probability=DenseVector([0.0239, 0.1933, 0.2108, 0.0858, 0.0188, 0.2022, 0.0012, 0.0222, 0.0398, 0.1164, 0.0128, 0.0343, 0.032, 0.0064]))
Row(prediction=2.0, features=DenseVector([38.0, 26.0, 52.0]), label=12.0, probability=DenseVector([0.0239, 0.1933, 0.2108, 0.0858, 0.0188, 0.2022, 0.0012, 0.0222, 0.0398, 0.1164, 0.0128, 0.0343, 0.032, 0.0064]))
Row(prediction=9.0, features=DenseVector([38.0, 27.0, 38.0]), label=9.0, probability=DenseVector([0.028, 0.0955, 0.014, 0.0085, 0.0279, 0.0264, 0.1298, 0.0031, 0.0096, 0.5585, 0.0178, 0.0416, 0.0393, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 27.0, 51.0]), label=11.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([38.0, 27.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=2.0, features=DenseVector([38.0, 27.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=1.0, features=DenseVector([38.0, 27.0, 53.0]), label=11.0, probability=DenseVector([0.0273, 0.1962, 0.1854, 0.0923, 0.0229, 0.1897, 0.0017, 0.0226, 0.0415, 0.1349, 0.0156, 0.0305, 0.0321, 0.0073]))
Row(prediction=5.0, features=DenseVector([38.0, 28.0, 48.0]), label=9.0, probability=DenseVector([0.0247, 0.1149, 0.1813, 0.1312, 0.0248, 0.2563, 0.0123, 0.0269, 0.0383, 0.0829, 0.0192, 0.0267, 0.0296, 0.031]))
Row(prediction=5.0, features=DenseVector([38.0, 28.0, 50.0]), label=5.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=5.0, features=DenseVector([38.0, 28.0, 51.0]), label=5.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([38.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=1.0, features=DenseVector([38.0, 28.0, 59.0]), label=9.0, probability=DenseVector([0.0273, 0.1962, 0.1854, 0.0923, 0.0229, 0.1897, 0.0017, 0.0226, 0.0415, 0.1349, 0.0156, 0.0305, 0.0321, 0.0073]))
Row(prediction=9.0, features=DenseVector([38.0, 29.0, 32.0]), label=9.0, probability=DenseVector([0.02, 0.1164, 0.0098, 0.0054, 0.0219, 0.0254, 0.1115, 0.0027, 0.0054, 0.6007, 0.0104, 0.0308, 0.0394, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 29.0, 40.0]), label=6.0, probability=DenseVector([0.0273, 0.1046, 0.0173, 0.0079, 0.0284, 0.0288, 0.124, 0.0027, 0.0116, 0.5492, 0.0177, 0.0421, 0.0385, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 29.0, 47.0]), label=9.0, probability=DenseVector([0.0283, 0.1193, 0.1414, 0.1266, 0.0308, 0.2559, 0.0219, 0.0223, 0.0366, 0.1029, 0.0253, 0.0182, 0.0367, 0.0336]))
Row(prediction=5.0, features=DenseVector([38.0, 29.0, 48.0]), label=11.0, probability=DenseVector([0.0247, 0.1149, 0.1813, 0.1312, 0.0248, 0.2563, 0.0123, 0.0269, 0.0383, 0.0829, 0.0192, 0.0267, 0.0296, 0.031]))
Row(prediction=5.0, features=DenseVector([38.0, 29.0, 49.0]), label=9.0, probability=DenseVector([0.0255, 0.1178, 0.1912, 0.1283, 0.0243, 0.267, 0.0081, 0.0279, 0.0398, 0.0692, 0.0194, 0.0286, 0.0292, 0.0239]))
Row(prediction=5.0, features=DenseVector([38.0, 29.0, 51.0]), label=5.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([38.0, 29.0, 52.0]), label=11.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=2.0, features=DenseVector([38.0, 29.0, 52.0]), label=9.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=1.0, features=DenseVector([38.0, 29.0, 53.0]), label=5.0, probability=DenseVector([0.0273, 0.1962, 0.1854, 0.0923, 0.0229, 0.1897, 0.0017, 0.0226, 0.0415, 0.1349, 0.0156, 0.0305, 0.0321, 0.0073]))
Row(prediction=1.0, features=DenseVector([38.0, 29.0, 54.0]), label=11.0, probability=DenseVector([0.0273, 0.1962, 0.1854, 0.0923, 0.0229, 0.1897, 0.0017, 0.0226, 0.0415, 0.1349, 0.0156, 0.0305, 0.0321, 0.0073]))
Row(prediction=9.0, features=DenseVector([38.0, 30.0, 39.0]), label=6.0, probability=DenseVector([0.0273, 0.1046, 0.0173, 0.0079, 0.0284, 0.0288, 0.124, 0.0027, 0.0116, 0.5492, 0.0177, 0.0421, 0.0385, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 30.0, 44.0]), label=6.0, probability=DenseVector([0.0283, 0.1193, 0.1414, 0.1266, 0.0308, 0.2559, 0.0219, 0.0223, 0.0366, 0.1029, 0.0253, 0.0182, 0.0367, 0.0336]))
Row(prediction=2.0, features=DenseVector([38.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 30.0, 52.0]), label=11.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 30.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=9.0, features=DenseVector([38.0, 31.0, 36.0]), label=9.0, probability=DenseVector([0.0238, 0.0977, 0.0117, 0.0072, 0.0248, 0.0251, 0.1253, 0.0029, 0.008, 0.584, 0.0142, 0.0353, 0.0398, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 31.0, 39.0]), label=6.0, probability=DenseVector([0.0273, 0.1046, 0.0173, 0.0079, 0.0284, 0.0288, 0.124, 0.0027, 0.0116, 0.5492, 0.0177, 0.0421, 0.0385, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 31.0, 39.0]), label=9.0, probability=DenseVector([0.0273, 0.1046, 0.0173, 0.0079, 0.0284, 0.0288, 0.124, 0.0027, 0.0116, 0.5492, 0.0177, 0.0421, 0.0385, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([38.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 31.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 31.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 31.0, 61.0]), label=9.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=9.0, features=DenseVector([38.0, 32.0, 34.0]), label=9.0, probability=DenseVector([0.0345, 0.1113, 0.0107, 0.0058, 0.0258, 0.0254, 0.1536, 0.0042, 0.0066, 0.5435, 0.0184, 0.0289, 0.0314, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 32.0, 43.0]), label=6.0, probability=DenseVector([0.0282, 0.1186, 0.1364, 0.1222, 0.0303, 0.2361, 0.0239, 0.0214, 0.0351, 0.1313, 0.0245, 0.0222, 0.037, 0.0329]))
Row(prediction=5.0, features=DenseVector([38.0, 32.0, 45.0]), label=6.0, probability=DenseVector([0.0283, 0.1193, 0.1414, 0.1266, 0.0308, 0.2559, 0.0219, 0.0223, 0.0366, 0.1029, 0.0253, 0.0182, 0.0367, 0.0336]))
Row(prediction=5.0, features=DenseVector([38.0, 32.0, 50.0]), label=5.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=5.0, features=DenseVector([38.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=5.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=0.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 53.0]), label=5.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 55.0]), label=5.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 56.0]), label=11.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 52.0]), label=0.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 53.0]), label=5.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 54.0]), label=5.0, probability=DenseVector([0.038, 0.1469, 0.1592, 0.11, 0.0318, 0.2911, 0.0018, 0.0275, 0.0456, 0.0612, 0.0239, 0.0218, 0.0287, 0.0125]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 49.0]), label=11.0, probability=DenseVector([0.0315, 0.1051, 0.1869, 0.1416, 0.0331, 0.2522, 0.009, 0.029, 0.0426, 0.0612, 0.0278, 0.0262, 0.0272, 0.0265]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 49.0]), label=0.0, probability=DenseVector([0.0315, 0.1051, 0.1869, 0.1416, 0.0331, 0.2522, 0.009, 0.029, 0.0426, 0.0612, 0.0278, 0.0262, 0.0272, 0.0265]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 51.0]), label=0.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 42.0]), label=6.0, probability=DenseVector([0.0442, 0.0822, 0.1018, 0.1295, 0.0504, 0.1753, 0.0461, 0.0211, 0.0363, 0.1737, 0.0529, 0.0227, 0.029, 0.0347]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 48.0]), label=0.0, probability=DenseVector([0.0346, 0.0886, 0.1704, 0.1461, 0.0404, 0.2354, 0.0154, 0.0291, 0.0433, 0.0778, 0.0338, 0.0241, 0.0268, 0.0342]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 51.0]), label=5.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=9.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 53.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 53.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=9.0, features=DenseVector([38.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.0457, 0.1072, 0.0111, 0.0068, 0.0327, 0.0236, 0.1458, 0.0055, 0.0078, 0.5208, 0.0352, 0.0293, 0.0285, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 46.0]), label=0.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 47.0]), label=11.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 48.0]), label=5.0, probability=DenseVector([0.0359, 0.0816, 0.1679, 0.1477, 0.0412, 0.2438, 0.0153, 0.0296, 0.0448, 0.0728, 0.0348, 0.0235, 0.0256, 0.0354]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 51.0]), label=13.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=13.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=13.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=12.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 55.0]), label=11.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=9.0, features=DenseVector([38.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.0544, 0.0763, 0.014, 0.0106, 0.0421, 0.024, 0.1619, 0.005, 0.0121, 0.4367, 0.0438, 0.092, 0.0272, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 45.0]), label=5.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 50.0]), label=11.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=13.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=9.0, features=DenseVector([38.0, 38.0, 33.0]), label=6.0, probability=DenseVector([0.0457, 0.1072, 0.0111, 0.0068, 0.0327, 0.0236, 0.1458, 0.0055, 0.0078, 0.5208, 0.0352, 0.0293, 0.0285, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 45.0]), label=9.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 49.0]), label=5.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 50.0]), label=13.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=13.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=9.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=13.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=11.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 53.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 54.0]), label=11.0, probability=DenseVector([0.042, 0.1239, 0.1433, 0.1181, 0.0382, 0.3197, 0.0019, 0.0272, 0.0453, 0.0493, 0.0307, 0.017, 0.0269, 0.0164]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 56.0]), label=0.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=9.0, features=DenseVector([38.0, 39.0, 37.0]), label=6.0, probability=DenseVector([0.0607, 0.0742, 0.0134, 0.0108, 0.044, 0.0233, 0.1696, 0.0048, 0.0119, 0.4233, 0.0466, 0.0917, 0.0258, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 42.0]), label=9.0, probability=DenseVector([0.0456, 0.0752, 0.0994, 0.1311, 0.0512, 0.1836, 0.046, 0.0217, 0.0378, 0.1687, 0.0539, 0.0222, 0.0278, 0.0359]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 43.0]), label=6.0, probability=DenseVector([0.0379, 0.0779, 0.1308, 0.1415, 0.0459, 0.2344, 0.0215, 0.0229, 0.0407, 0.1215, 0.0397, 0.0201, 0.0276, 0.0375]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 45.0]), label=9.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 47.0]), label=6.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 48.0]), label=5.0, probability=DenseVector([0.0382, 0.0814, 0.1499, 0.1537, 0.0422, 0.2468, 0.0167, 0.0346, 0.048, 0.0728, 0.0353, 0.0185, 0.0266, 0.0355]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 48.0]), label=5.0, probability=DenseVector([0.0382, 0.0814, 0.1499, 0.1537, 0.0422, 0.2468, 0.0167, 0.0346, 0.048, 0.0728, 0.0353, 0.0185, 0.0266, 0.0355]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 52.0]), label=13.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 52.0]), label=13.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 52.0]), label=13.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 55.0]), label=9.0, probability=DenseVector([0.0395, 0.1213, 0.138, 0.1226, 0.04, 0.3056, 0.0021, 0.0266, 0.0543, 0.0564, 0.0295, 0.0177, 0.0293, 0.0172]))
Row(prediction=9.0, features=DenseVector([38.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.0547, 0.1087, 0.0099, 0.0074, 0.0346, 0.0062, 0.1718, 0.0051, 0.0083, 0.4997, 0.0384, 0.0293, 0.0258, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 40.0, 35.0]), label=9.0, probability=DenseVector([0.0576, 0.0907, 0.0118, 0.0095, 0.036, 0.0059, 0.1827, 0.0055, 0.011, 0.492, 0.0413, 0.0295, 0.0264, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 40.0, 35.0]), label=6.0, probability=DenseVector([0.0576, 0.0907, 0.0118, 0.0095, 0.036, 0.0059, 0.1827, 0.0055, 0.011, 0.492, 0.0413, 0.0295, 0.0264, 0.0001]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 46.0]), label=0.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 47.0]), label=5.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 47.0]), label=9.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 48.0]), label=13.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 48.0]), label=11.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 49.0]), label=9.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 49.0]), label=9.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=13.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=13.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=13.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=9.0, features=DenseVector([38.0, 41.0, 34.0]), label=9.0, probability=DenseVector([0.0547, 0.1087, 0.0099, 0.0074, 0.0346, 0.0062, 0.1718, 0.0051, 0.0083, 0.4997, 0.0384, 0.0293, 0.0258, 0.0001]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 43.0]), label=9.0, probability=DenseVector([0.0438, 0.0694, 0.1473, 0.2288, 0.0379, 0.0693, 0.0339, 0.0356, 0.0512, 0.1146, 0.0307, 0.024, 0.0235, 0.0901]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 46.0]), label=11.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 46.0]), label=0.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 47.0]), label=9.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 47.0]), label=13.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 48.0]), label=5.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 48.0]), label=5.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 48.0]), label=5.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 48.0]), label=5.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 49.0]), label=9.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 49.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=13.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=9.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 52.0]), label=5.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 53.0]), label=2.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 43.0]), label=9.0, probability=DenseVector([0.0425, 0.0693, 0.1506, 0.235, 0.0365, 0.0598, 0.0353, 0.0357, 0.0486, 0.1146, 0.0293, 0.0241, 0.0231, 0.0956]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 44.0]), label=9.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 46.0]), label=0.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 46.0]), label=9.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 47.0]), label=13.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=13.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 51.0]), label=13.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 52.0]), label=5.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 52.0]), label=5.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 52.0]), label=9.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=6.0, features=DenseVector([38.0, 43.0, 30.0]), label=6.0, probability=DenseVector([0.0727, 0.1826, 0.0179, 0.0236, 0.0403, 0.0029, 0.2997, 0.0034, 0.0116, 0.2742, 0.0406, 0.0147, 0.0132, 0.0027]))
Row(prediction=6.0, features=DenseVector([38.0, 43.0, 35.0]), label=6.0, probability=DenseVector([0.0756, 0.1645, 0.0198, 0.0257, 0.0417, 0.0025, 0.3106, 0.0039, 0.0143, 0.2665, 0.0434, 0.015, 0.0138, 0.0027]))
Row(prediction=9.0, features=DenseVector([38.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.0806, 0.1049, 0.0253, 0.0287, 0.0512, 0.0039, 0.286, 0.0039, 0.0163, 0.3057, 0.0557, 0.0182, 0.0171, 0.0027]))
Row(prediction=9.0, features=DenseVector([38.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.0806, 0.1049, 0.0253, 0.0287, 0.0512, 0.0039, 0.286, 0.0039, 0.0163, 0.3057, 0.0557, 0.0182, 0.0171, 0.0027]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 42.0]), label=9.0, probability=DenseVector([0.0503, 0.0673, 0.1309, 0.2079, 0.045, 0.044, 0.0959, 0.0249, 0.0407, 0.12, 0.0461, 0.0219, 0.0221, 0.0831]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.0438, 0.0584, 0.1556, 0.2431, 0.0378, 0.0598, 0.055, 0.0313, 0.0483, 0.0961, 0.0301, 0.0212, 0.0221, 0.0975]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 46.0]), label=0.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 47.0]), label=13.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 47.0]), label=13.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 47.0]), label=13.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 49.0]), label=13.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 49.0]), label=0.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 50.0]), label=13.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 51.0]), label=5.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 51.0]), label=0.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 52.0]), label=5.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 43.0]), label=9.0, probability=DenseVector([0.0404, 0.0557, 0.1626, 0.2536, 0.0334, 0.0575, 0.0551, 0.0312, 0.0479, 0.0874, 0.0257, 0.0212, 0.0205, 0.1078]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 45.0]), label=5.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 45.0]), label=13.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 46.0]), label=13.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 47.0]), label=9.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 47.0]), label=13.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=6.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=9.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=1.0, features=DenseVector([38.0, 45.0, 21.0]), label=6.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=9.0, features=DenseVector([38.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.073, 0.1041, 0.062, 0.0869, 0.0478, 0.0084, 0.2203, 0.008, 0.0203, 0.2598, 0.038, 0.0222, 0.0165, 0.0326]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 44.0]), label=13.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 44.0]), label=13.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 44.0]), label=13.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 44.0]), label=9.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 44.0]), label=9.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 44.0]), label=0.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 45.0]), label=0.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 46.0]), label=5.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 46.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 46.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 46.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 46.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 47.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 49.0]), label=5.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 49.0]), label=5.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 49.0]), label=9.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=6.0, features=DenseVector([38.0, 46.0, 37.0]), label=6.0, probability=DenseVector([0.0859, 0.107, 0.0288, 0.0335, 0.0471, 0.0032, 0.3141, 0.005, 0.0198, 0.2772, 0.0392, 0.0191, 0.0171, 0.0029]))
Row(prediction=6.0, features=DenseVector([38.0, 46.0, 38.0]), label=6.0, probability=DenseVector([0.0859, 0.107, 0.0288, 0.0335, 0.0471, 0.0032, 0.3141, 0.005, 0.0198, 0.2772, 0.0392, 0.0191, 0.0171, 0.0029]))
Row(prediction=6.0, features=DenseVector([38.0, 46.0, 40.0]), label=6.0, probability=DenseVector([0.0851, 0.1079, 0.0343, 0.0348, 0.0478, 0.0032, 0.3033, 0.0062, 0.0223, 0.2769, 0.0395, 0.0191, 0.0165, 0.003]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 44.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 45.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 46.0]), label=5.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 48.0]), label=5.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 48.0]), label=13.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 49.0]), label=5.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([38.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.0688, 0.1669, 0.0212, 0.0275, 0.0325, 0.0026, 0.3719, 0.005, 0.016, 0.2338, 0.0217, 0.0138, 0.0154, 0.0029]))
Row(prediction=6.0, features=DenseVector([38.0, 47.0, 38.0]), label=6.0, probability=DenseVector([0.0809, 0.0945, 0.0295, 0.0367, 0.0396, 0.0028, 0.3729, 0.0071, 0.0269, 0.2412, 0.03, 0.016, 0.019, 0.003]))
Row(prediction=6.0, features=DenseVector([38.0, 47.0, 40.0]), label=9.0, probability=DenseVector([0.0801, 0.0954, 0.0351, 0.038, 0.0404, 0.0028, 0.3621, 0.0083, 0.0293, 0.2409, 0.0303, 0.016, 0.0184, 0.0031]))
Row(prediction=6.0, features=DenseVector([38.0, 47.0, 41.0]), label=9.0, probability=DenseVector([0.0576, 0.0855, 0.0755, 0.1264, 0.0327, 0.0077, 0.2819, 0.0109, 0.0376, 0.1862, 0.0214, 0.0152, 0.0155, 0.0459]))
Row(prediction=6.0, features=DenseVector([38.0, 47.0, 41.0]), label=9.0, probability=DenseVector([0.0576, 0.0855, 0.0755, 0.1264, 0.0327, 0.0077, 0.2819, 0.0109, 0.0376, 0.1862, 0.0214, 0.0152, 0.0155, 0.0459]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.026, 0.0571, 0.1599, 0.2831, 0.0208, 0.0321, 0.0972, 0.0217, 0.0411, 0.0773, 0.0122, 0.0132, 0.016, 0.1423]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 44.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 44.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 44.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 44.0]), label=11.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 45.0]), label=5.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 46.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 46.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 47.0]), label=11.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=6.0, features=DenseVector([38.0, 48.0, 35.0]), label=9.0, probability=DenseVector([0.0669, 0.0668, 0.0324, 0.0454, 0.0268, 0.0002, 0.5832, 0.0125, 0.0419, 0.0766, 0.0135, 0.01, 0.0211, 0.0027]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 44.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 46.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 47.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 47.0]), label=11.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 48.0]), label=9.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 55.0]), label=5.0, probability=DenseVector([0.0277, 0.082, 0.1541, 0.2496, 0.0242, 0.1247, 0.0173, 0.0341, 0.088, 0.0586, 0.0128, 0.0187, 0.03, 0.0783]))
Row(prediction=6.0, features=DenseVector([38.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.064, 0.0645, 0.0431, 0.0551, 0.0271, 0.0002, 0.5253, 0.0106, 0.0557, 0.0993, 0.0148, 0.0128, 0.0249, 0.0027]))
Row(prediction=6.0, features=DenseVector([38.0, 49.0, 41.0]), label=6.0, probability=DenseVector([0.0499, 0.0648, 0.0766, 0.1305, 0.0246, 0.0056, 0.4069, 0.0142, 0.0465, 0.0939, 0.0116, 0.0122, 0.017, 0.0456]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 44.0]), label=13.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 44.0]), label=13.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 44.0]), label=13.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 44.0]), label=6.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 46.0]), label=13.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 46.0]), label=13.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 46.0]), label=13.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 46.0]), label=13.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 46.0]), label=11.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 51.0]), label=11.0, probability=DenseVector([0.0191, 0.0464, 0.1846, 0.3132, 0.0169, 0.067, 0.0236, 0.0343, 0.0727, 0.0426, 0.0062, 0.0123, 0.0203, 0.1405]))
Row(prediction=6.0, features=DenseVector([38.0, 50.0, 38.0]), label=8.0, probability=DenseVector([0.064, 0.0645, 0.0431, 0.0551, 0.0271, 0.0002, 0.5253, 0.0106, 0.0557, 0.0993, 0.0148, 0.0128, 0.0249, 0.0027]))
Row(prediction=3.0, features=DenseVector([38.0, 50.0, 44.0]), label=13.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 50.0, 45.0]), label=13.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 36.0]), label=6.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 39.0]), label=11.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.0467, 0.0367, 0.0547, 0.0596, 0.0278, 0.0001, 0.4856, 0.0105, 0.0702, 0.1569, 0.0095, 0.0151, 0.0258, 0.0009]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0334, 0.0361, 0.0826, 0.1336, 0.0246, 0.0055, 0.3779, 0.0129, 0.0586, 0.1518, 0.0061, 0.0145, 0.0185, 0.0438]))
Row(prediction=3.0, features=DenseVector([38.0, 51.0, 42.0]), label=6.0, probability=DenseVector([0.0109, 0.0357, 0.1488, 0.2796, 0.0224, 0.0258, 0.0899, 0.0176, 0.0397, 0.1585, 0.0077, 0.016, 0.0181, 0.1292]))
Row(prediction=3.0, features=DenseVector([38.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0108, 0.0363, 0.1512, 0.2742, 0.0224, 0.0265, 0.0876, 0.0183, 0.0349, 0.1575, 0.0077, 0.0162, 0.0189, 0.1375]))
Row(prediction=3.0, features=DenseVector([38.0, 51.0, 45.0]), label=9.0, probability=DenseVector([0.0108, 0.0363, 0.1512, 0.2742, 0.0224, 0.0265, 0.0876, 0.0183, 0.0349, 0.1575, 0.0077, 0.0162, 0.0189, 0.1375]))
Row(prediction=9.0, features=DenseVector([38.0, 51.0, 52.0]), label=11.0, probability=DenseVector([0.0177, 0.0667, 0.104, 0.1763, 0.0397, 0.0492, 0.0583, 0.0175, 0.0655, 0.2823, 0.013, 0.0147, 0.0365, 0.0587]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 22.0]), label=6.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 29.0]), label=6.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 41.0]), label=9.0, probability=DenseVector([0.0334, 0.0361, 0.0826, 0.1336, 0.0246, 0.0055, 0.3779, 0.0129, 0.0586, 0.1518, 0.0061, 0.0145, 0.0185, 0.0438]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0334, 0.0361, 0.0826, 0.1336, 0.0246, 0.0055, 0.3779, 0.0129, 0.0586, 0.1518, 0.0061, 0.0145, 0.0185, 0.0438]))
Row(prediction=3.0, features=DenseVector([38.0, 52.0, 43.0]), label=6.0, probability=DenseVector([0.0109, 0.0357, 0.1488, 0.2796, 0.0224, 0.0258, 0.0899, 0.0176, 0.0397, 0.1585, 0.0077, 0.016, 0.0181, 0.1292]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 27.0]), label=6.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 32.0]), label=0.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 38.0]), label=9.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 39.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 40.0]), label=6.0, probability=DenseVector([0.0454, 0.0366, 0.0432, 0.0643, 0.0282, 0.0001, 0.5081, 0.0094, 0.0552, 0.1576, 0.0077, 0.0168, 0.0234, 0.004]))
Row(prediction=3.0, features=DenseVector([38.0, 53.0, 48.0]), label=9.0, probability=DenseVector([0.0135, 0.0457, 0.1504, 0.2578, 0.0256, 0.041, 0.0565, 0.0277, 0.042, 0.1756, 0.0081, 0.0128, 0.0223, 0.1209]))
Row(prediction=6.0, features=DenseVector([38.0, 54.0, 16.0]), label=6.0, probability=DenseVector([0.0535, 0.0636, 0.0128, 0.0231, 0.0194, 0.0, 0.7195, 0.0121, 0.0275, 0.0381, 0.0029, 0.0067, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 54.0, 30.0]), label=6.0, probability=DenseVector([0.0572, 0.0497, 0.0149, 0.0257, 0.0208, 0.0, 0.7198, 0.0133, 0.0309, 0.0358, 0.0032, 0.0071, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0572, 0.0497, 0.0149, 0.0257, 0.0208, 0.0, 0.7198, 0.0133, 0.0309, 0.0358, 0.0032, 0.0071, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0572, 0.0497, 0.0149, 0.0257, 0.0208, 0.0, 0.7198, 0.0133, 0.0309, 0.0358, 0.0032, 0.0071, 0.0215, 0.0001]))
Row(prediction=3.0, features=DenseVector([38.0, 54.0, 43.0]), label=9.0, probability=DenseVector([0.0115, 0.0347, 0.151, 0.2859, 0.0212, 0.0258, 0.0915, 0.0176, 0.0405, 0.1505, 0.0069, 0.0156, 0.0165, 0.1308]))
Row(prediction=3.0, features=DenseVector([38.0, 54.0, 45.0]), label=9.0, probability=DenseVector([0.0114, 0.0353, 0.1534, 0.2805, 0.0212, 0.0265, 0.0892, 0.0183, 0.0357, 0.1495, 0.0068, 0.0159, 0.0172, 0.1391]))
Row(prediction=6.0, features=DenseVector([38.0, 55.0, 18.0]), label=6.0, probability=DenseVector([0.0535, 0.0636, 0.0128, 0.0231, 0.0194, 0.0, 0.7195, 0.0121, 0.0275, 0.0381, 0.0029, 0.0067, 0.0207, 0.0001]))
Row(prediction=3.0, features=DenseVector([38.0, 55.0, 42.0]), label=6.0, probability=DenseVector([0.0115, 0.0347, 0.151, 0.2859, 0.0212, 0.0258, 0.0915, 0.0176, 0.0405, 0.1505, 0.0069, 0.0156, 0.0165, 0.1308]))
Row(prediction=9.0, features=DenseVector([38.0, 55.0, 60.0]), label=9.0, probability=DenseVector([0.0167, 0.0685, 0.0976, 0.172, 0.0418, 0.0427, 0.0505, 0.0156, 0.0652, 0.3053, 0.0125, 0.0153, 0.0389, 0.0574]))
Row(prediction=6.0, features=DenseVector([38.0, 56.0, 14.0]), label=6.0, probability=DenseVector([0.0485, 0.0608, 0.0116, 0.0207, 0.0171, 0.0, 0.7399, 0.0108, 0.0249, 0.0383, 0.0028, 0.0061, 0.0184, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 56.0, 32.0]), label=6.0, probability=DenseVector([0.0522, 0.047, 0.0137, 0.0232, 0.0185, 0.0, 0.7401, 0.012, 0.0283, 0.036, 0.0032, 0.0065, 0.0192, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 56.0, 36.0]), label=6.0, probability=DenseVector([0.0567, 0.0364, 0.0254, 0.0353, 0.0201, 0.0, 0.6684, 0.0111, 0.0443, 0.0554, 0.0078, 0.0083, 0.0307, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 57.0, 24.0]), label=6.0, probability=DenseVector([0.0358, 0.0388, 0.0091, 0.0149, 0.0126, 0.0, 0.8169, 0.0083, 0.0197, 0.0294, 0.0024, 0.0035, 0.0086, 0.0001]))
Row(prediction=3.0, features=DenseVector([38.0, 57.0, 44.0]), label=6.0, probability=DenseVector([0.0104, 0.031, 0.1487, 0.2691, 0.0222, 0.0265, 0.094, 0.0183, 0.0347, 0.1734, 0.0067, 0.0133, 0.0159, 0.1358]))
Row(prediction=6.0, features=DenseVector([38.0, 58.0, 24.0]), label=6.0, probability=DenseVector([0.0358, 0.0388, 0.0091, 0.0149, 0.0126, 0.0, 0.8169, 0.0083, 0.0197, 0.0294, 0.0024, 0.0035, 0.0086, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 59.0, 18.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 59.0, 25.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 59.0, 57.0]), label=9.0, probability=DenseVector([0.0165, 0.0694, 0.0921, 0.1652, 0.0377, 0.0424, 0.0864, 0.016, 0.0617, 0.2957, 0.0114, 0.0124, 0.038, 0.0551]))
Row(prediction=6.0, features=DenseVector([38.0, 60.0, 20.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 60.0, 25.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 60.0, 43.0]), label=6.0, probability=DenseVector([0.0103, 0.0319, 0.1342, 0.2431, 0.0129, 0.0256, 0.2507, 0.0176, 0.0302, 0.093, 0.0057, 0.0087, 0.013, 0.1232]))
Row(prediction=3.0, features=DenseVector([38.0, 60.0, 49.0]), label=9.0, probability=DenseVector([0.0138, 0.0483, 0.1448, 0.2508, 0.021, 0.045, 0.0908, 0.0295, 0.0419, 0.1639, 0.0063, 0.0099, 0.0218, 0.1123]))
Row(prediction=6.0, features=DenseVector([38.0, 61.0, 10.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 61.0, 14.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 61.0, 42.0]), label=6.0, probability=DenseVector([0.0107, 0.03, 0.1342, 0.2411, 0.0118, 0.0256, 0.2719, 0.0176, 0.0299, 0.077, 0.0057, 0.0087, 0.0124, 0.1232]))
Row(prediction=6.0, features=DenseVector([38.0, 61.0, 42.0]), label=6.0, probability=DenseVector([0.0107, 0.03, 0.1342, 0.2411, 0.0118, 0.0256, 0.2719, 0.0176, 0.0299, 0.077, 0.0057, 0.0087, 0.0124, 0.1232]))
Row(prediction=6.0, features=DenseVector([38.0, 61.0, 43.0]), label=6.0, probability=DenseVector([0.0103, 0.0319, 0.1342, 0.2431, 0.0129, 0.0256, 0.2507, 0.0176, 0.0302, 0.093, 0.0057, 0.0087, 0.013, 0.1232]))
Row(prediction=6.0, features=DenseVector([38.0, 62.0, 12.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 62.0, 18.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 62.0, 20.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 62.0, 24.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 62.0, 28.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 62.0, 31.0]), label=6.0, probability=DenseVector([0.0387, 0.0252, 0.0111, 0.0171, 0.0143, 0.0, 0.8164, 0.0092, 0.0225, 0.0291, 0.0029, 0.0039, 0.0094, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 62.0, 39.0]), label=6.0, probability=DenseVector([0.0425, 0.0277, 0.0184, 0.0248, 0.0173, 0.0, 0.732, 0.0084, 0.0315, 0.0626, 0.007, 0.0071, 0.0205, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 7.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 11.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 17.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 24.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 33.0]), label=6.0, probability=DenseVector([0.0387, 0.0252, 0.0111, 0.0171, 0.0143, 0.0, 0.8164, 0.0092, 0.0225, 0.0291, 0.0029, 0.0039, 0.0094, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 37.0]), label=6.0, probability=DenseVector([0.0425, 0.0277, 0.0184, 0.0248, 0.0173, 0.0, 0.732, 0.0084, 0.0315, 0.0626, 0.007, 0.0071, 0.0205, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.0425, 0.0277, 0.0184, 0.0248, 0.0173, 0.0, 0.732, 0.0084, 0.0315, 0.0626, 0.007, 0.0071, 0.0205, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 63.0, 39.0]), label=6.0, probability=DenseVector([0.0425, 0.0277, 0.0184, 0.0248, 0.0173, 0.0, 0.732, 0.0084, 0.0315, 0.0626, 0.007, 0.0071, 0.0205, 0.0001]))
Row(prediction=3.0, features=DenseVector([38.0, 63.0, 45.0]), label=6.0, probability=DenseVector([0.0103, 0.0348, 0.1427, 0.2652, 0.0147, 0.0264, 0.1725, 0.0183, 0.0322, 0.1137, 0.0058, 0.0093, 0.019, 0.1351]))
Row(prediction=5.0, features=DenseVector([39.0, 0.0, 46.0]), label=9.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=9.0, features=DenseVector([39.0, 0.0, 54.0]), label=9.0, probability=DenseVector([0.0198, 0.1505, 0.1318, 0.076, 0.0175, 0.1825, 0.0023, 0.0179, 0.0294, 0.305, 0.0124, 0.0198, 0.029, 0.0061]))
Row(prediction=9.0, features=DenseVector([39.0, 5.0, 29.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=5.0, features=DenseVector([39.0, 7.0, 49.0]), label=9.0, probability=DenseVector([0.014, 0.1114, 0.1503, 0.056, 0.0149, 0.4704, 0.0023, 0.0117, 0.019, 0.083, 0.012, 0.0218, 0.0273, 0.006]))
Row(prediction=5.0, features=DenseVector([39.0, 11.0, 42.0]), label=9.0, probability=DenseVector([0.009, 0.1084, 0.0584, 0.032, 0.0115, 0.463, 0.0129, 0.0065, 0.0114, 0.2222, 0.0076, 0.016, 0.0381, 0.0028]))
Row(prediction=5.0, features=DenseVector([39.0, 11.0, 47.0]), label=9.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([39.0, 13.0, 42.0]), label=12.0, probability=DenseVector([0.009, 0.1084, 0.0584, 0.032, 0.0115, 0.463, 0.0129, 0.0065, 0.0114, 0.2222, 0.0076, 0.016, 0.0381, 0.0028]))
Row(prediction=5.0, features=DenseVector([39.0, 14.0, 47.0]), label=12.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=9.0, features=DenseVector([39.0, 15.0, 22.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=5.0, features=DenseVector([39.0, 15.0, 49.0]), label=9.0, probability=DenseVector([0.014, 0.1114, 0.1503, 0.056, 0.0149, 0.4704, 0.0023, 0.0117, 0.019, 0.083, 0.012, 0.0218, 0.0273, 0.006]))
Row(prediction=5.0, features=DenseVector([39.0, 17.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=9.0, features=DenseVector([39.0, 19.0, 25.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=5.0, features=DenseVector([39.0, 19.0, 45.0]), label=9.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([39.0, 19.0, 45.0]), label=12.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([39.0, 19.0, 46.0]), label=9.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=9.0, features=DenseVector([39.0, 20.0, 26.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=5.0, features=DenseVector([39.0, 20.0, 45.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([39.0, 20.0, 45.0]), label=9.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([39.0, 20.0, 49.0]), label=9.0, probability=DenseVector([0.014, 0.1114, 0.1503, 0.056, 0.0149, 0.4704, 0.0023, 0.0117, 0.019, 0.083, 0.012, 0.0218, 0.0273, 0.006]))
Row(prediction=5.0, features=DenseVector([39.0, 20.0, 50.0]), label=5.0, probability=DenseVector([0.0144, 0.1193, 0.1545, 0.0634, 0.0149, 0.4497, 0.0021, 0.0135, 0.0204, 0.0801, 0.0119, 0.0229, 0.0269, 0.0061]))
Row(prediction=9.0, features=DenseVector([39.0, 20.0, 52.0]), label=12.0, probability=DenseVector([0.0191, 0.1474, 0.1592, 0.0756, 0.0159, 0.1821, 0.0019, 0.0186, 0.03, 0.2793, 0.0124, 0.0239, 0.0285, 0.0061]))
Row(prediction=5.0, features=DenseVector([39.0, 21.0, 43.0]), label=9.0, probability=DenseVector([0.0123, 0.1029, 0.0965, 0.0414, 0.0143, 0.5007, 0.0078, 0.0084, 0.0149, 0.1367, 0.011, 0.0163, 0.0331, 0.0037]))
Row(prediction=5.0, features=DenseVector([39.0, 21.0, 46.0]), label=5.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([39.0, 21.0, 48.0]), label=5.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=9.0, features=DenseVector([39.0, 22.0, 28.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=5.0, features=DenseVector([39.0, 22.0, 48.0]), label=5.0, probability=DenseVector([0.0168, 0.1289, 0.1573, 0.0713, 0.0185, 0.3835, 0.0073, 0.0153, 0.0254, 0.101, 0.0135, 0.0244, 0.0308, 0.0058]))
Row(prediction=5.0, features=DenseVector([39.0, 22.0, 55.0]), label=11.0, probability=DenseVector([0.0246, 0.1965, 0.1834, 0.0862, 0.0204, 0.2027, 0.0015, 0.0215, 0.0392, 0.1421, 0.0128, 0.0302, 0.0325, 0.0064]))
Row(prediction=5.0, features=DenseVector([39.0, 23.0, 47.0]), label=5.0, probability=DenseVector([0.0224, 0.1278, 0.1206, 0.0756, 0.0248, 0.3662, 0.0164, 0.0172, 0.0291, 0.117, 0.0196, 0.0165, 0.0405, 0.0064]))
Row(prediction=5.0, features=DenseVector([39.0, 23.0, 47.0]), label=11.0, probability=DenseVector([0.0224, 0.1278, 0.1206, 0.0756, 0.0248, 0.3662, 0.0164, 0.0172, 0.0291, 0.117, 0.0196, 0.0165, 0.0405, 0.0064]))
Row(prediction=5.0, features=DenseVector([39.0, 25.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=9.0, features=DenseVector([39.0, 26.0, 30.0]), label=9.0, probability=DenseVector([0.0199, 0.1355, 0.0101, 0.0084, 0.0194, 0.0269, 0.073, 0.0021, 0.0054, 0.619, 0.0083, 0.0295, 0.0424, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 47.0]), label=9.0, probability=DenseVector([0.0224, 0.1278, 0.1206, 0.0756, 0.0248, 0.3662, 0.0164, 0.0172, 0.0291, 0.117, 0.0196, 0.0165, 0.0405, 0.0064]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 48.0]), label=5.0, probability=DenseVector([0.0168, 0.1289, 0.1573, 0.0713, 0.0185, 0.3835, 0.0073, 0.0153, 0.0254, 0.101, 0.0135, 0.0244, 0.0308, 0.0058]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 48.0]), label=5.0, probability=DenseVector([0.0168, 0.1289, 0.1573, 0.0713, 0.0185, 0.3835, 0.0073, 0.0153, 0.0254, 0.101, 0.0135, 0.0244, 0.0308, 0.0058]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 51.0]), label=5.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 51.0]), label=5.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 51.0]), label=5.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=9.0, features=DenseVector([39.0, 27.0, 35.0]), label=9.0, probability=DenseVector([0.023, 0.0983, 0.0117, 0.0075, 0.0233, 0.0251, 0.1225, 0.0032, 0.008, 0.593, 0.0133, 0.031, 0.04, 0.0001]))
Row(prediction=9.0, features=DenseVector([39.0, 27.0, 41.0]), label=6.0, probability=DenseVector([0.0303, 0.1294, 0.0397, 0.0402, 0.0325, 0.0524, 0.0934, 0.0101, 0.0195, 0.4469, 0.0215, 0.0376, 0.0446, 0.002]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 42.0]), label=9.0, probability=DenseVector([0.0253, 0.1146, 0.098, 0.113, 0.0296, 0.198, 0.0562, 0.0199, 0.0319, 0.197, 0.0231, 0.0217, 0.0396, 0.032]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 50.0]), label=5.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=1.0, features=DenseVector([39.0, 27.0, 54.0]), label=5.0, probability=DenseVector([0.0273, 0.1962, 0.1854, 0.0923, 0.0229, 0.1897, 0.0017, 0.0226, 0.0415, 0.1349, 0.0156, 0.0305, 0.0321, 0.0073]))
Row(prediction=9.0, features=DenseVector([39.0, 28.0, 38.0]), label=6.0, probability=DenseVector([0.028, 0.0955, 0.014, 0.0085, 0.0279, 0.0264, 0.1298, 0.0031, 0.0096, 0.5585, 0.0178, 0.0416, 0.0393, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 28.0, 49.0]), label=5.0, probability=DenseVector([0.0255, 0.1178, 0.1912, 0.1283, 0.0243, 0.267, 0.0081, 0.0279, 0.0398, 0.0692, 0.0194, 0.0286, 0.0292, 0.0239]))
Row(prediction=5.0, features=DenseVector([39.0, 28.0, 49.0]), label=5.0, probability=DenseVector([0.0255, 0.1178, 0.1912, 0.1283, 0.0243, 0.267, 0.0081, 0.0279, 0.0398, 0.0692, 0.0194, 0.0286, 0.0292, 0.0239]))
Row(prediction=5.0, features=DenseVector([39.0, 28.0, 51.0]), label=5.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([39.0, 28.0, 52.0]), label=5.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=9.0, features=DenseVector([39.0, 29.0, 35.0]), label=9.0, probability=DenseVector([0.023, 0.0983, 0.0117, 0.0075, 0.0233, 0.0251, 0.1225, 0.0032, 0.008, 0.593, 0.0133, 0.031, 0.04, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 29.0, 47.0]), label=9.0, probability=DenseVector([0.0283, 0.1193, 0.1414, 0.1266, 0.0308, 0.2559, 0.0219, 0.0223, 0.0366, 0.1029, 0.0253, 0.0182, 0.0367, 0.0336]))
Row(prediction=5.0, features=DenseVector([39.0, 30.0, 42.0]), label=9.0, probability=DenseVector([0.0253, 0.1146, 0.098, 0.113, 0.0296, 0.198, 0.0562, 0.0199, 0.0319, 0.197, 0.0231, 0.0217, 0.0396, 0.032]))
Row(prediction=5.0, features=DenseVector([39.0, 30.0, 45.0]), label=9.0, probability=DenseVector([0.0283, 0.1193, 0.1414, 0.1266, 0.0308, 0.2559, 0.0219, 0.0223, 0.0366, 0.1029, 0.0253, 0.0182, 0.0367, 0.0336]))
Row(prediction=5.0, features=DenseVector([39.0, 30.0, 51.0]), label=5.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 30.0, 51.0]), label=5.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=9.0, features=DenseVector([39.0, 31.0, 41.0]), label=9.0, probability=DenseVector([0.0303, 0.1294, 0.0397, 0.0402, 0.0325, 0.0524, 0.0934, 0.0101, 0.0195, 0.4469, 0.0215, 0.0376, 0.0446, 0.002]))
Row(prediction=5.0, features=DenseVector([39.0, 31.0, 50.0]), label=5.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 52.0]), label=5.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 52.0]), label=0.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 53.0]), label=9.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 54.0]), label=0.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 58.0]), label=12.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 32.0, 43.0]), label=6.0, probability=DenseVector([0.0282, 0.1186, 0.1364, 0.1222, 0.0303, 0.2361, 0.0239, 0.0214, 0.0351, 0.1313, 0.0245, 0.0222, 0.037, 0.0329]))
Row(prediction=5.0, features=DenseVector([39.0, 32.0, 50.0]), label=9.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=5.0, features=DenseVector([39.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([39.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=9.0, features=DenseVector([39.0, 33.0, 38.0]), label=6.0, probability=DenseVector([0.0544, 0.0763, 0.014, 0.0106, 0.0421, 0.024, 0.1619, 0.005, 0.0121, 0.4367, 0.0438, 0.092, 0.0272, 0.0001]))
Row(prediction=9.0, features=DenseVector([39.0, 33.0, 40.0]), label=6.0, probability=DenseVector([0.0544, 0.0763, 0.014, 0.0106, 0.0421, 0.024, 0.1619, 0.005, 0.0121, 0.4367, 0.0438, 0.092, 0.0272, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 43.0]), label=6.0, probability=DenseVector([0.0282, 0.1186, 0.1364, 0.1222, 0.0303, 0.2361, 0.0239, 0.0214, 0.0351, 0.1313, 0.0245, 0.0222, 0.037, 0.0329]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 43.0]), label=6.0, probability=DenseVector([0.0282, 0.1186, 0.1364, 0.1222, 0.0303, 0.2361, 0.0239, 0.0214, 0.0351, 0.1313, 0.0245, 0.0222, 0.037, 0.0329]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 47.0]), label=9.0, probability=DenseVector([0.0283, 0.1193, 0.1414, 0.1266, 0.0308, 0.2559, 0.0219, 0.0223, 0.0366, 0.1029, 0.0253, 0.0182, 0.0367, 0.0336]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 48.0]), label=11.0, probability=DenseVector([0.0247, 0.1149, 0.1813, 0.1312, 0.0248, 0.2563, 0.0123, 0.0269, 0.0383, 0.0829, 0.0192, 0.0267, 0.0296, 0.031]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 49.0]), label=0.0, probability=DenseVector([0.0255, 0.1178, 0.1912, 0.1283, 0.0243, 0.267, 0.0081, 0.0279, 0.0398, 0.0692, 0.0194, 0.0286, 0.0292, 0.0239]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 50.0]), label=9.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 50.0]), label=0.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 51.0]), label=5.0, probability=DenseVector([0.0305, 0.145, 0.1948, 0.1103, 0.028, 0.2615, 0.005, 0.0235, 0.0392, 0.068, 0.0244, 0.0296, 0.0286, 0.0115]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 51.0]), label=0.0, probability=DenseVector([0.0305, 0.145, 0.1948, 0.1103, 0.028, 0.2615, 0.005, 0.0235, 0.0392, 0.068, 0.0244, 0.0296, 0.0286, 0.0115]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=0.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=0.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 43.0]), label=9.0, probability=DenseVector([0.0352, 0.0924, 0.1346, 0.1371, 0.044, 0.223, 0.0221, 0.0212, 0.0357, 0.1307, 0.0377, 0.0216, 0.03, 0.0346]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 45.0]), label=0.0, probability=DenseVector([0.0353, 0.0932, 0.1396, 0.1414, 0.0446, 0.2428, 0.0201, 0.0221, 0.0373, 0.1023, 0.0385, 0.0177, 0.0298, 0.0353]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 51.0]), label=5.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 55.0]), label=5.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 60.0]), label=12.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=5.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=9.0, features=DenseVector([39.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.0486, 0.0891, 0.013, 0.009, 0.0341, 0.0233, 0.1567, 0.0059, 0.0105, 0.5131, 0.038, 0.0295, 0.0291, 0.0001]))
Row(prediction=9.0, features=DenseVector([39.0, 36.0, 39.0]), label=6.0, probability=DenseVector([0.0544, 0.0763, 0.014, 0.0106, 0.0421, 0.024, 0.1619, 0.005, 0.0121, 0.4367, 0.0438, 0.092, 0.0272, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0343, 0.0906, 0.1831, 0.1461, 0.035, 0.2636, 0.0084, 0.0306, 0.0476, 0.052, 0.0298, 0.0247, 0.0248, 0.0294]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=5.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=11.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 53.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 53.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 53.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=9.0, features=DenseVector([39.0, 37.0, 40.0]), label=9.0, probability=DenseVector([0.0544, 0.0763, 0.014, 0.0106, 0.0421, 0.024, 0.1619, 0.005, 0.0121, 0.4367, 0.0438, 0.092, 0.0272, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 46.0]), label=0.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 49.0]), label=5.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 49.0]), label=11.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 53.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 53.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 54.0]), label=5.0, probability=DenseVector([0.042, 0.1239, 0.1433, 0.1181, 0.0382, 0.3197, 0.0019, 0.0272, 0.0453, 0.0493, 0.0307, 0.017, 0.0269, 0.0164]))
Row(prediction=9.0, features=DenseVector([39.0, 38.0, 41.0]), label=6.0, probability=DenseVector([0.0505, 0.0814, 0.0356, 0.0502, 0.0517, 0.0627, 0.0832, 0.0113, 0.0232, 0.3969, 0.0493, 0.0689, 0.03, 0.0052]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 46.0]), label=5.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 48.0]), label=6.0, probability=DenseVector([0.0382, 0.0814, 0.1499, 0.1537, 0.0422, 0.2468, 0.0167, 0.0346, 0.048, 0.0728, 0.0353, 0.0185, 0.0266, 0.0355]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=13.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=5.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=13.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 53.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 53.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 53.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 54.0]), label=5.0, probability=DenseVector([0.042, 0.1239, 0.1433, 0.1181, 0.0382, 0.3197, 0.0019, 0.0272, 0.0453, 0.0493, 0.0307, 0.017, 0.0269, 0.0164]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 58.0]), label=12.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=9.0, features=DenseVector([39.0, 39.0, 41.0]), label=9.0, probability=DenseVector([0.0568, 0.0793, 0.0349, 0.0504, 0.0537, 0.062, 0.0908, 0.0111, 0.023, 0.3834, 0.0521, 0.0686, 0.0286, 0.0052]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 44.0]), label=6.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 45.0]), label=0.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 46.0]), label=9.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 49.0]), label=11.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=13.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 53.0]), label=0.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 54.0]), label=11.0, probability=DenseVector([0.0406, 0.1194, 0.1388, 0.1247, 0.0381, 0.3158, 0.0019, 0.0274, 0.0525, 0.0493, 0.0292, 0.0167, 0.0279, 0.0178]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 42.0]), label=6.0, probability=DenseVector([0.0527, 0.0718, 0.1197, 0.1862, 0.046, 0.0537, 0.0567, 0.0298, 0.0427, 0.1655, 0.0486, 0.0278, 0.0236, 0.0751]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 42.0]), label=6.0, probability=DenseVector([0.0527, 0.0718, 0.1197, 0.1862, 0.046, 0.0537, 0.0567, 0.0298, 0.0427, 0.1655, 0.0486, 0.0278, 0.0236, 0.0751]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 45.0]), label=0.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 47.0]), label=11.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 48.0]), label=0.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 48.0]), label=5.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 48.0]), label=5.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 49.0]), label=9.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 53.0]), label=5.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 54.0]), label=11.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=9.0, features=DenseVector([39.0, 41.0, 37.0]), label=6.0, probability=DenseVector([0.0634, 0.0778, 0.0129, 0.0111, 0.044, 0.0066, 0.1879, 0.0046, 0.0126, 0.4156, 0.0471, 0.092, 0.0244, 0.0001]))
Row(prediction=9.0, features=DenseVector([39.0, 41.0, 37.0]), label=6.0, probability=DenseVector([0.0634, 0.0778, 0.0129, 0.0111, 0.044, 0.0066, 0.1879, 0.0046, 0.0126, 0.4156, 0.0471, 0.092, 0.0244, 0.0001]))
Row(prediction=9.0, features=DenseVector([39.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.0629, 0.1019, 0.032, 0.0435, 0.0496, 0.0271, 0.1119, 0.0144, 0.0236, 0.3808, 0.0491, 0.0712, 0.0273, 0.0046]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 46.0]), label=9.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 46.0]), label=12.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 47.0]), label=5.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 48.0]), label=5.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 48.0]), label=5.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 48.0]), label=5.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 48.0]), label=11.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 48.0]), label=6.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 49.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 49.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=11.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=9.0, features=DenseVector([39.0, 42.0, 30.0]), label=9.0, probability=DenseVector([0.0614, 0.1138, 0.0119, 0.0088, 0.037, 0.0042, 0.1909, 0.005, 0.0084, 0.4689, 0.0413, 0.0257, 0.0224, 0.0002]))
Row(prediction=9.0, features=DenseVector([39.0, 42.0, 32.0]), label=9.0, probability=DenseVector([0.0614, 0.1138, 0.0119, 0.0088, 0.037, 0.0042, 0.1909, 0.005, 0.0084, 0.4689, 0.0413, 0.0257, 0.0224, 0.0002]))
Row(prediction=9.0, features=DenseVector([39.0, 42.0, 41.0]), label=9.0, probability=DenseVector([0.0683, 0.1069, 0.0373, 0.0511, 0.0506, 0.0156, 0.1324, 0.0144, 0.0212, 0.3501, 0.0506, 0.0677, 0.0236, 0.0103]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 42.0]), label=6.0, probability=DenseVector([0.0514, 0.0717, 0.123, 0.1924, 0.0446, 0.0442, 0.0581, 0.0299, 0.0401, 0.1655, 0.0472, 0.0279, 0.0233, 0.0806]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 44.0]), label=9.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 46.0]), label=5.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 46.0]), label=9.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 46.0]), label=0.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 46.0]), label=0.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 46.0]), label=9.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 47.0]), label=5.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 47.0]), label=5.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 47.0]), label=5.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 47.0]), label=13.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 48.0]), label=11.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=6.0, features=DenseVector([39.0, 43.0, 34.0]), label=9.0, probability=DenseVector([0.0727, 0.1826, 0.0179, 0.0236, 0.0403, 0.0029, 0.2997, 0.0034, 0.0116, 0.2742, 0.0406, 0.0147, 0.0132, 0.0027]))
Row(prediction=9.0, features=DenseVector([39.0, 43.0, 39.0]), label=9.0, probability=DenseVector([0.0806, 0.1049, 0.0253, 0.0287, 0.0512, 0.0039, 0.286, 0.0039, 0.0163, 0.3057, 0.0557, 0.0182, 0.0171, 0.0027]))
Row(prediction=9.0, features=DenseVector([39.0, 43.0, 41.0]), label=9.0, probability=DenseVector([0.0769, 0.1086, 0.0503, 0.0701, 0.0565, 0.0151, 0.2087, 0.0095, 0.0228, 0.2699, 0.0567, 0.0226, 0.0195, 0.0129]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.0438, 0.0584, 0.1556, 0.2431, 0.0378, 0.0598, 0.055, 0.0313, 0.0483, 0.0961, 0.0301, 0.0212, 0.0221, 0.0975]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 45.0]), label=6.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 46.0]), label=5.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 46.0]), label=5.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 46.0]), label=13.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 47.0]), label=13.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 47.0]), label=6.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 48.0]), label=9.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 50.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 50.0]), label=13.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 50.0]), label=11.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 51.0]), label=0.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 54.0]), label=5.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=6.0, features=DenseVector([39.0, 44.0, 35.0]), label=6.0, probability=DenseVector([0.0767, 0.1667, 0.0219, 0.0273, 0.0378, 0.0025, 0.3216, 0.004, 0.0148, 0.265, 0.0299, 0.0152, 0.0138, 0.0029]))
Row(prediction=9.0, features=DenseVector([39.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.0816, 0.1071, 0.0275, 0.0302, 0.0473, 0.0038, 0.297, 0.004, 0.0168, 0.3042, 0.0421, 0.0184, 0.0171, 0.0029]))
Row(prediction=9.0, features=DenseVector([39.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.0816, 0.1071, 0.0275, 0.0302, 0.0473, 0.0038, 0.297, 0.004, 0.0168, 0.3042, 0.0421, 0.0184, 0.0171, 0.0029]))
Row(prediction=9.0, features=DenseVector([39.0, 44.0, 40.0]), label=11.0, probability=DenseVector([0.0816, 0.1071, 0.0275, 0.0302, 0.0473, 0.0038, 0.297, 0.004, 0.0168, 0.3042, 0.0421, 0.0184, 0.0171, 0.0029]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 42.0]), label=9.0, probability=DenseVector([0.0479, 0.0668, 0.1401, 0.22, 0.0367, 0.0417, 0.1069, 0.0249, 0.0407, 0.1099, 0.0281, 0.0222, 0.0205, 0.0936]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 43.0]), label=0.0, probability=DenseVector([0.0404, 0.0557, 0.1626, 0.2536, 0.0334, 0.0575, 0.0551, 0.0312, 0.0479, 0.0874, 0.0257, 0.0212, 0.0205, 0.1078]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 44.0]), label=9.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 45.0]), label=5.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 45.0]), label=13.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 46.0]), label=11.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=13.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 53.0]), label=0.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=9.0, features=DenseVector([39.0, 45.0, 38.0]), label=9.0, probability=DenseVector([0.0816, 0.1071, 0.0275, 0.0302, 0.0473, 0.0038, 0.297, 0.004, 0.0168, 0.3042, 0.0421, 0.0184, 0.0171, 0.0029]))
Row(prediction=9.0, features=DenseVector([39.0, 45.0, 39.0]), label=6.0, probability=DenseVector([0.0816, 0.1071, 0.0275, 0.0302, 0.0473, 0.0038, 0.297, 0.004, 0.0168, 0.3042, 0.0421, 0.0184, 0.0171, 0.0029]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 42.0]), label=0.0, probability=DenseVector([0.0464, 0.0628, 0.1426, 0.2247, 0.0363, 0.0374, 0.1075, 0.0234, 0.0381, 0.1099, 0.0275, 0.0214, 0.0192, 0.1029]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 44.0]), label=9.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 45.0]), label=13.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 45.0]), label=13.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 45.0]), label=13.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 46.0]), label=5.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 46.0]), label=5.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 46.0]), label=5.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 46.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 46.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 46.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 46.0]), label=9.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 47.0]), label=13.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 48.0]), label=5.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 49.0]), label=5.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 49.0]), label=5.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 51.0]), label=2.0, probability=DenseVector([0.0275, 0.0565, 0.1852, 0.287, 0.0184, 0.1013, 0.0159, 0.048, 0.0907, 0.0366, 0.0075, 0.0125, 0.0231, 0.0897]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 52.0]), label=5.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=6.0, features=DenseVector([39.0, 46.0, 37.0]), label=0.0, probability=DenseVector([0.0859, 0.107, 0.0288, 0.0335, 0.0471, 0.0032, 0.3141, 0.005, 0.0198, 0.2772, 0.0392, 0.0191, 0.0171, 0.0029]))
Row(prediction=6.0, features=DenseVector([39.0, 46.0, 38.0]), label=9.0, probability=DenseVector([0.0859, 0.107, 0.0288, 0.0335, 0.0471, 0.0032, 0.3141, 0.005, 0.0198, 0.2772, 0.0392, 0.0191, 0.0171, 0.0029]))
Row(prediction=6.0, features=DenseVector([39.0, 46.0, 41.0]), label=9.0, probability=DenseVector([0.0702, 0.1013, 0.0706, 0.1033, 0.0435, 0.0082, 0.2309, 0.0099, 0.0261, 0.2254, 0.0339, 0.019, 0.0154, 0.0424]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 44.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 45.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 45.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 46.0]), label=5.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 47.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 48.0]), label=5.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 50.0]), label=9.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 51.0]), label=11.0, probability=DenseVector([0.0191, 0.0464, 0.1846, 0.3132, 0.0169, 0.067, 0.0236, 0.0343, 0.0727, 0.0426, 0.0062, 0.0123, 0.0203, 0.1405]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 51.0]), label=9.0, probability=DenseVector([0.0191, 0.0464, 0.1846, 0.3132, 0.0169, 0.067, 0.0236, 0.0343, 0.0727, 0.0426, 0.0062, 0.0123, 0.0203, 0.1405]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 63.0]), label=9.0, probability=DenseVector([0.0264, 0.0791, 0.1434, 0.2297, 0.0338, 0.1203, 0.0129, 0.0292, 0.0823, 0.0985, 0.0147, 0.0176, 0.0356, 0.0766]))
Row(prediction=6.0, features=DenseVector([39.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.0688, 0.1669, 0.0212, 0.0275, 0.0325, 0.0026, 0.3719, 0.005, 0.016, 0.2338, 0.0217, 0.0138, 0.0154, 0.0029]))
Row(prediction=6.0, features=DenseVector([39.0, 47.0, 37.0]), label=6.0, probability=DenseVector([0.0809, 0.0945, 0.0295, 0.0367, 0.0396, 0.0028, 0.3729, 0.0071, 0.0269, 0.2412, 0.03, 0.016, 0.019, 0.003]))
Row(prediction=6.0, features=DenseVector([39.0, 47.0, 40.0]), label=9.0, probability=DenseVector([0.0801, 0.0954, 0.0351, 0.038, 0.0404, 0.0028, 0.3621, 0.0083, 0.0293, 0.2409, 0.0303, 0.016, 0.0184, 0.0031]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.026, 0.0571, 0.1599, 0.2831, 0.0208, 0.0321, 0.0972, 0.0217, 0.0411, 0.0773, 0.0122, 0.0132, 0.016, 0.1423]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 43.0]), label=13.0, probability=DenseVector([0.017, 0.0446, 0.1827, 0.3207, 0.017, 0.042, 0.0459, 0.026, 0.0453, 0.0556, 0.0094, 0.0125, 0.0153, 0.1659]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 44.0]), label=11.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 46.0]), label=5.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 46.0]), label=5.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 46.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 46.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 47.0]), label=5.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 47.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 47.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=6.0, features=DenseVector([39.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.0621, 0.1094, 0.0234, 0.0363, 0.0251, 0.0005, 0.5796, 0.012, 0.0288, 0.0837, 0.0095, 0.0092, 0.0176, 0.0027]))
Row(prediction=6.0, features=DenseVector([39.0, 48.0, 41.0]), label=6.0, probability=DenseVector([0.0499, 0.0648, 0.0766, 0.1305, 0.0246, 0.0056, 0.4069, 0.0142, 0.0465, 0.0939, 0.0116, 0.0122, 0.017, 0.0456]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 42.0]), label=9.0, probability=DenseVector([0.026, 0.0571, 0.1599, 0.2831, 0.0208, 0.0321, 0.0972, 0.0217, 0.0411, 0.0773, 0.0122, 0.0132, 0.016, 0.1423]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 44.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 44.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 44.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 46.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 46.0]), label=13.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 46.0]), label=9.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 51.0]), label=0.0, probability=DenseVector([0.0191, 0.0464, 0.1846, 0.3132, 0.0169, 0.067, 0.0236, 0.0343, 0.0727, 0.0426, 0.0062, 0.0123, 0.0203, 0.1405]))
Row(prediction=6.0, features=DenseVector([39.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0621, 0.1094, 0.0234, 0.0363, 0.0251, 0.0005, 0.5796, 0.012, 0.0288, 0.0837, 0.0095, 0.0092, 0.0176, 0.0027]))
Row(prediction=6.0, features=DenseVector([39.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0621, 0.1094, 0.0234, 0.0363, 0.0251, 0.0005, 0.5796, 0.012, 0.0288, 0.0837, 0.0095, 0.0092, 0.0176, 0.0027]))
Row(prediction=6.0, features=DenseVector([39.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.064, 0.0645, 0.0431, 0.0551, 0.0271, 0.0002, 0.5253, 0.0106, 0.0557, 0.0993, 0.0148, 0.0128, 0.0249, 0.0027]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 43.0]), label=5.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 43.0]), label=13.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 44.0]), label=5.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 44.0]), label=13.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 47.0]), label=9.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 56.0]), label=9.0, probability=DenseVector([0.0247, 0.0847, 0.1345, 0.2173, 0.0376, 0.1138, 0.0135, 0.0265, 0.0816, 0.1161, 0.0155, 0.0181, 0.0402, 0.0759]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 37.0]), label=0.0, probability=DenseVector([0.064, 0.0645, 0.0431, 0.0551, 0.0271, 0.0002, 0.5253, 0.0106, 0.0557, 0.0993, 0.0148, 0.0128, 0.0249, 0.0027]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.064, 0.0645, 0.0431, 0.0551, 0.0271, 0.0002, 0.5253, 0.0106, 0.0557, 0.0993, 0.0148, 0.0128, 0.0249, 0.0027]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 41.0]), label=11.0, probability=DenseVector([0.0499, 0.0648, 0.0766, 0.1305, 0.0246, 0.0056, 0.4069, 0.0142, 0.0465, 0.0939, 0.0116, 0.0122, 0.017, 0.0456]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.0499, 0.0648, 0.0766, 0.1305, 0.0246, 0.0056, 0.4069, 0.0142, 0.0465, 0.0939, 0.0116, 0.0122, 0.017, 0.0456]))
Row(prediction=3.0, features=DenseVector([39.0, 50.0, 42.0]), label=6.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([39.0, 50.0, 43.0]), label=9.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([39.0, 50.0, 43.0]), label=9.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([39.0, 50.0, 43.0]), label=9.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([39.0, 50.0, 44.0]), label=9.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([39.0, 50.0, 45.0]), label=6.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([39.0, 50.0, 50.0]), label=9.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([39.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 51.0, 38.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=3.0, features=DenseVector([39.0, 51.0, 48.0]), label=9.0, probability=DenseVector([0.0135, 0.0441, 0.1496, 0.254, 0.0254, 0.0408, 0.0643, 0.0277, 0.0415, 0.173, 0.0087, 0.0139, 0.0231, 0.1205]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 26.0]), label=6.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 33.0]), label=6.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 36.0]), label=6.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 37.0]), label=9.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 41.0]), label=8.0, probability=DenseVector([0.0334, 0.0361, 0.0826, 0.1336, 0.0246, 0.0055, 0.3779, 0.0129, 0.0586, 0.1518, 0.0061, 0.0145, 0.0185, 0.0438]))
Row(prediction=3.0, features=DenseVector([39.0, 52.0, 43.0]), label=9.0, probability=DenseVector([0.0109, 0.0357, 0.1488, 0.2796, 0.0224, 0.0258, 0.0899, 0.0176, 0.0397, 0.1585, 0.0077, 0.016, 0.0181, 0.1292]))
Row(prediction=3.0, features=DenseVector([39.0, 52.0, 46.0]), label=9.0, probability=DenseVector([0.0108, 0.0363, 0.1512, 0.2742, 0.0224, 0.0265, 0.0876, 0.0183, 0.0349, 0.1575, 0.0077, 0.0162, 0.0189, 0.1375]))
Row(prediction=6.0, features=DenseVector([39.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 53.0, 34.0]), label=9.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 54.0, 29.0]), label=6.0, probability=DenseVector([0.0535, 0.0636, 0.0128, 0.0231, 0.0194, 0.0, 0.7195, 0.0121, 0.0275, 0.0381, 0.0029, 0.0067, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0572, 0.0497, 0.0149, 0.0257, 0.0208, 0.0, 0.7198, 0.0133, 0.0309, 0.0358, 0.0032, 0.0071, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0572, 0.0497, 0.0149, 0.0257, 0.0208, 0.0, 0.7198, 0.0133, 0.0309, 0.0358, 0.0032, 0.0071, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0572, 0.0497, 0.0149, 0.0257, 0.0208, 0.0, 0.7198, 0.0133, 0.0309, 0.0358, 0.0032, 0.0071, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 55.0, 41.0]), label=6.0, probability=DenseVector([0.032, 0.0361, 0.0711, 0.1383, 0.0251, 0.0055, 0.4004, 0.0118, 0.0435, 0.1525, 0.0043, 0.0162, 0.0162, 0.0469]))
Row(prediction=6.0, features=DenseVector([39.0, 56.0, 27.0]), label=6.0, probability=DenseVector([0.0485, 0.0608, 0.0116, 0.0207, 0.0171, 0.0, 0.7399, 0.0108, 0.0249, 0.0383, 0.0028, 0.0061, 0.0184, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 56.0, 28.0]), label=6.0, probability=DenseVector([0.0485, 0.0608, 0.0116, 0.0207, 0.0171, 0.0, 0.7399, 0.0108, 0.0249, 0.0383, 0.0028, 0.0061, 0.0184, 0.0001]))
Row(prediction=9.0, features=DenseVector([39.0, 56.0, 58.0]), label=9.0, probability=DenseVector([0.0173, 0.0688, 0.096, 0.1683, 0.0439, 0.0432, 0.0469, 0.0162, 0.0675, 0.3107, 0.0124, 0.0138, 0.0392, 0.0558]))
Row(prediction=6.0, features=DenseVector([39.0, 57.0, 15.0]), label=6.0, probability=DenseVector([0.0358, 0.0388, 0.0091, 0.0149, 0.0126, 0.0, 0.8169, 0.0083, 0.0197, 0.0294, 0.0024, 0.0035, 0.0086, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 57.0, 30.0]), label=6.0, probability=DenseVector([0.0405, 0.0261, 0.0111, 0.0176, 0.0144, 0.0, 0.8105, 0.0096, 0.0235, 0.0301, 0.003, 0.0039, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 58.0, 33.0]), label=6.0, probability=DenseVector([0.0405, 0.0261, 0.0111, 0.0176, 0.0144, 0.0, 0.8105, 0.0096, 0.0235, 0.0301, 0.003, 0.0039, 0.0096, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 59.0, 30.0]), label=6.0, probability=DenseVector([0.0387, 0.0252, 0.0111, 0.0171, 0.0143, 0.0, 0.8164, 0.0092, 0.0225, 0.0291, 0.0029, 0.0039, 0.0094, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 59.0, 31.0]), label=6.0, probability=DenseVector([0.0387, 0.0252, 0.0111, 0.0171, 0.0143, 0.0, 0.8164, 0.0092, 0.0225, 0.0291, 0.0029, 0.0039, 0.0094, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 59.0, 37.0]), label=6.0, probability=DenseVector([0.0425, 0.0277, 0.0184, 0.0248, 0.0173, 0.0, 0.732, 0.0084, 0.0315, 0.0626, 0.007, 0.0071, 0.0205, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 60.0, 30.0]), label=6.0, probability=DenseVector([0.0387, 0.0252, 0.0111, 0.0171, 0.0143, 0.0, 0.8164, 0.0092, 0.0225, 0.0291, 0.0029, 0.0039, 0.0094, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 60.0, 42.0]), label=6.0, probability=DenseVector([0.0107, 0.03, 0.1342, 0.2411, 0.0118, 0.0256, 0.2719, 0.0176, 0.0299, 0.077, 0.0057, 0.0087, 0.0124, 0.1232]))
Row(prediction=6.0, features=DenseVector([39.0, 61.0, 27.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 61.0, 30.0]), label=6.0, probability=DenseVector([0.0387, 0.0252, 0.0111, 0.0171, 0.0143, 0.0, 0.8164, 0.0092, 0.0225, 0.0291, 0.0029, 0.0039, 0.0094, 0.0001]))
Row(prediction=3.0, features=DenseVector([39.0, 61.0, 45.0]), label=6.0, probability=DenseVector([0.0103, 0.0348, 0.1427, 0.2652, 0.0147, 0.0264, 0.1725, 0.0183, 0.0322, 0.1137, 0.0058, 0.0093, 0.019, 0.1351]))
Row(prediction=9.0, features=DenseVector([39.0, 61.0, 54.0]), label=9.0, probability=DenseVector([0.0175, 0.0691, 0.0993, 0.1732, 0.0359, 0.0491, 0.0864, 0.0179, 0.0626, 0.2752, 0.0113, 0.0107, 0.0348, 0.0569]))
Row(prediction=9.0, features=DenseVector([39.0, 61.0, 63.0]), label=9.0, probability=DenseVector([0.0165, 0.0694, 0.0921, 0.1652, 0.0377, 0.0424, 0.0864, 0.016, 0.0617, 0.2957, 0.0114, 0.0124, 0.038, 0.0551]))
Row(prediction=6.0, features=DenseVector([39.0, 62.0, 13.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 62.0, 16.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 62.0, 17.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 62.0, 25.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 62.0, 25.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 62.0, 29.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 62.0, 31.0]), label=6.0, probability=DenseVector([0.0387, 0.0252, 0.0111, 0.0171, 0.0143, 0.0, 0.8164, 0.0092, 0.0225, 0.0291, 0.0029, 0.0039, 0.0094, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 62.0, 38.0]), label=6.0, probability=DenseVector([0.0425, 0.0277, 0.0184, 0.0248, 0.0173, 0.0, 0.732, 0.0084, 0.0315, 0.0626, 0.007, 0.0071, 0.0205, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 62.0, 39.0]), label=6.0, probability=DenseVector([0.0425, 0.0277, 0.0184, 0.0248, 0.0173, 0.0, 0.732, 0.0084, 0.0315, 0.0626, 0.007, 0.0071, 0.0205, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 62.0, 39.0]), label=6.0, probability=DenseVector([0.0425, 0.0277, 0.0184, 0.0248, 0.0173, 0.0, 0.732, 0.0084, 0.0315, 0.0626, 0.007, 0.0071, 0.0205, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 6.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 8.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 8.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 13.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.034, 0.0379, 0.0091, 0.0144, 0.0126, 0.0, 0.8228, 0.0079, 0.0187, 0.0284, 0.0023, 0.0035, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 63.0, 42.0]), label=6.0, probability=DenseVector([0.0107, 0.03, 0.1342, 0.2411, 0.0118, 0.0256, 0.2719, 0.0176, 0.0299, 0.077, 0.0057, 0.0087, 0.0124, 0.1232]))
Row(prediction=3.0, features=DenseVector([39.0, 63.0, 44.0]), label=6.0, probability=DenseVector([0.0106, 0.0337, 0.1427, 0.2633, 0.014, 0.0264, 0.1932, 0.0184, 0.0308, 0.1016, 0.0058, 0.0093, 0.0152, 0.1351]))
Row(prediction=3.0, features=DenseVector([39.0, 63.0, 47.0]), label=6.0, probability=DenseVector([0.0106, 0.0392, 0.1436, 0.2693, 0.0211, 0.0267, 0.0988, 0.0187, 0.0319, 0.1693, 0.0072, 0.0096, 0.0188, 0.1351]))
Row(prediction=3.0, features=DenseVector([39.0, 63.0, 48.0]), label=6.0, probability=DenseVector([0.0133, 0.0466, 0.1449, 0.2509, 0.0216, 0.0407, 0.0925, 0.028, 0.0385, 0.166, 0.007, 0.0099, 0.0214, 0.1186]))
Row(prediction=9.0, features=DenseVector([40.0, 7.0, 27.0]), label=9.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 7.0, 28.0]), label=9.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=2.0, features=DenseVector([40.0, 7.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0941, 0.367, 0.0177, 0.014, 0.0709, 0.0044, 0.0019, 0.004, 0.3321, 0.0088, 0.0448, 0.028, 0.0007]))
Row(prediction=9.0, features=DenseVector([40.0, 9.0, 21.0]), label=9.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 11.0, 48.0]), label=12.0, probability=DenseVector([0.0113, 0.0836, 0.2932, 0.0107, 0.0148, 0.0473, 0.0027, 0.002, 0.0032, 0.4373, 0.009, 0.0537, 0.0308, 0.0003]))
Row(prediction=9.0, features=DenseVector([40.0, 12.0, 37.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 12.0, 37.0]), label=12.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 13.0, 26.0]), label=9.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 13.0, 35.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 14.0, 39.0]), label=9.0, probability=DenseVector([0.0203, 0.1165, 0.0168, 0.0077, 0.0225, 0.0359, 0.0737, 0.0013, 0.0084, 0.5778, 0.0102, 0.0684, 0.0405, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 16.0, 32.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 16.0, 37.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 16.0, 53.0]), label=9.0, probability=DenseVector([0.0186, 0.0752, 0.202, 0.0116, 0.0219, 0.0294, 0.0017, 0.0031, 0.0047, 0.559, 0.0117, 0.0301, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([40.0, 17.0, 42.0]), label=9.0, probability=DenseVector([0.0101, 0.0912, 0.1462, 0.0192, 0.0154, 0.0403, 0.026, 0.0007, 0.0044, 0.561, 0.0051, 0.0422, 0.0377, 0.0006]))
Row(prediction=9.0, features=DenseVector([40.0, 19.0, 45.0]), label=9.0, probability=DenseVector([0.0126, 0.0856, 0.3422, 0.0195, 0.0154, 0.0604, 0.011, 0.0018, 0.0046, 0.3648, 0.0086, 0.0469, 0.0259, 0.0007]))
Row(prediction=9.0, features=DenseVector([40.0, 19.0, 48.0]), label=5.0, probability=DenseVector([0.0113, 0.0836, 0.2932, 0.0107, 0.0148, 0.0473, 0.0027, 0.002, 0.0032, 0.4373, 0.009, 0.0537, 0.0308, 0.0003]))
Row(prediction=9.0, features=DenseVector([40.0, 20.0, 35.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 21.0, 38.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=2.0, features=DenseVector([40.0, 21.0, 46.0]), label=5.0, probability=DenseVector([0.0124, 0.0862, 0.3644, 0.0247, 0.0143, 0.0721, 0.0074, 0.0019, 0.0045, 0.3181, 0.0087, 0.0592, 0.0251, 0.001]))
Row(prediction=2.0, features=DenseVector([40.0, 21.0, 46.0]), label=9.0, probability=DenseVector([0.0124, 0.0862, 0.3644, 0.0247, 0.0143, 0.0721, 0.0074, 0.0019, 0.0045, 0.3181, 0.0087, 0.0592, 0.0251, 0.001]))
Row(prediction=2.0, features=DenseVector([40.0, 21.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0941, 0.367, 0.0177, 0.014, 0.0709, 0.0044, 0.0019, 0.004, 0.3321, 0.0088, 0.0448, 0.028, 0.0007]))
Row(prediction=9.0, features=DenseVector([40.0, 22.0, 39.0]), label=9.0, probability=DenseVector([0.0203, 0.114, 0.0163, 0.005, 0.0235, 0.0258, 0.0754, 0.0013, 0.0087, 0.5994, 0.0102, 0.0591, 0.041, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 22.0, 41.0]), label=9.0, probability=DenseVector([0.0186, 0.1057, 0.0563, 0.0087, 0.0223, 0.0228, 0.0611, 0.0013, 0.0073, 0.5815, 0.0094, 0.0645, 0.0404, 0.0002]))
Row(prediction=9.0, features=DenseVector([40.0, 22.0, 42.0]), label=9.0, probability=DenseVector([0.0108, 0.0913, 0.1342, 0.0199, 0.0164, 0.0401, 0.0265, 0.0007, 0.0046, 0.5545, 0.0053, 0.0579, 0.0372, 0.0006]))
Row(prediction=9.0, features=DenseVector([40.0, 23.0, 33.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 23.0, 35.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=2.0, features=DenseVector([40.0, 23.0, 48.0]), label=9.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=9.0, features=DenseVector([40.0, 24.0, 33.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 24.0, 36.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 24.0, 41.0]), label=9.0, probability=DenseVector([0.0186, 0.1057, 0.0563, 0.0087, 0.0223, 0.0228, 0.0611, 0.0013, 0.0073, 0.5815, 0.0094, 0.0645, 0.0404, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 24.0, 49.0]), label=12.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 25.0, 54.0]), label=9.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 46.0]), label=12.0, probability=DenseVector([0.0132, 0.0896, 0.3417, 0.0255, 0.0159, 0.0721, 0.0078, 0.0019, 0.0047, 0.3162, 0.0089, 0.0774, 0.0242, 0.001]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 47.0]), label=9.0, probability=DenseVector([0.0163, 0.0982, 0.4425, 0.0184, 0.0171, 0.0717, 0.0045, 0.0025, 0.0042, 0.2162, 0.0124, 0.0759, 0.0193, 0.0007]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 50.0]), label=9.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 52.0]), label=5.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=9.0, features=DenseVector([40.0, 27.0, 38.0]), label=9.0, probability=DenseVector([0.0214, 0.0955, 0.0128, 0.0058, 0.025, 0.0231, 0.1084, 0.002, 0.0069, 0.5888, 0.0123, 0.0586, 0.0394, 0.0001]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 46.0]), label=9.0, probability=DenseVector([0.0132, 0.0896, 0.3417, 0.0255, 0.0159, 0.0721, 0.0078, 0.0019, 0.0047, 0.3162, 0.0089, 0.0774, 0.0242, 0.001]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 49.0]), label=5.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=9.0, features=DenseVector([40.0, 28.0, 34.0]), label=9.0, probability=DenseVector([0.0146, 0.0986, 0.0093, 0.0045, 0.0177, 0.0217, 0.085, 0.0024, 0.0038, 0.6588, 0.0073, 0.0347, 0.0416, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 28.0, 38.0]), label=9.0, probability=DenseVector([0.0214, 0.0955, 0.0128, 0.0058, 0.025, 0.0231, 0.1084, 0.002, 0.0069, 0.5888, 0.0123, 0.0586, 0.0394, 0.0001]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 53.0]), label=5.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=9.0, features=DenseVector([40.0, 29.0, 38.0]), label=9.0, probability=DenseVector([0.0214, 0.0955, 0.0128, 0.0058, 0.025, 0.0231, 0.1084, 0.002, 0.0069, 0.5888, 0.0123, 0.0586, 0.0394, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 29.0, 38.0]), label=9.0, probability=DenseVector([0.0214, 0.0955, 0.0128, 0.0058, 0.025, 0.0231, 0.1084, 0.002, 0.0069, 0.5888, 0.0123, 0.0586, 0.0394, 0.0001]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 46.0]), label=9.0, probability=DenseVector([0.0132, 0.0896, 0.3417, 0.0255, 0.0159, 0.0721, 0.0078, 0.0019, 0.0047, 0.3162, 0.0089, 0.0774, 0.0242, 0.001]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 49.0]), label=5.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=9.0, features=DenseVector([40.0, 30.0, 39.0]), label=9.0, probability=DenseVector([0.0207, 0.1046, 0.016, 0.0051, 0.0255, 0.0255, 0.1025, 0.0016, 0.0089, 0.5795, 0.0122, 0.0591, 0.0385, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 30.0, 40.0]), label=6.0, probability=DenseVector([0.0207, 0.1046, 0.016, 0.0051, 0.0255, 0.0255, 0.1025, 0.0016, 0.0089, 0.5795, 0.0122, 0.0591, 0.0385, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 30.0, 42.0]), label=9.0, probability=DenseVector([0.0303, 0.0591, 0.0982, 0.0776, 0.0304, 0.0727, 0.0716, 0.0015, 0.0083, 0.4182, 0.0114, 0.0915, 0.0262, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 52.0]), label=11.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=9.0, features=DenseVector([40.0, 31.0, 32.0]), label=6.0, probability=DenseVector([0.0154, 0.098, 0.0093, 0.0043, 0.0192, 0.0217, 0.0879, 0.0022, 0.0038, 0.6498, 0.0082, 0.039, 0.0414, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 31.0, 34.0]), label=9.0, probability=DenseVector([0.0154, 0.098, 0.0093, 0.0043, 0.0192, 0.0217, 0.0879, 0.0022, 0.0038, 0.6498, 0.0082, 0.039, 0.0414, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 31.0, 41.0]), label=9.0, probability=DenseVector([0.0292, 0.0918, 0.0356, 0.0145, 0.0291, 0.0233, 0.0916, 0.0017, 0.0092, 0.5306, 0.0128, 0.0951, 0.0353, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 47.0]), label=9.0, probability=DenseVector([0.0342, 0.0718, 0.3086, 0.0802, 0.0287, 0.1187, 0.0195, 0.0031, 0.0083, 0.1826, 0.0161, 0.1091, 0.0161, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 49.0]), label=6.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 52.0]), label=11.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 51.0]), label=5.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 52.0]), label=0.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 53.0]), label=9.0, probability=DenseVector([0.0473, 0.1162, 0.4166, 0.0292, 0.0494, 0.0463, 0.003, 0.0098, 0.0154, 0.133, 0.0299, 0.0883, 0.0155, 0.0004]))
Row(prediction=9.0, features=DenseVector([40.0, 33.0, 36.0]), label=6.0, probability=DenseVector([0.0359, 0.0921, 0.01, 0.006, 0.0273, 0.02, 0.0953, 0.0053, 0.0055, 0.6069, 0.0281, 0.0377, 0.0299, 0.0]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 47.0]), label=9.0, probability=DenseVector([0.0342, 0.0718, 0.3086, 0.0802, 0.0287, 0.1187, 0.0195, 0.0031, 0.0083, 0.1826, 0.0161, 0.1091, 0.0161, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=6.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 52.0]), label=5.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 52.0]), label=0.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 52.0]), label=0.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 53.0]), label=0.0, probability=DenseVector([0.0515, 0.1073, 0.3864, 0.037, 0.0516, 0.1095, 0.0027, 0.0117, 0.0145, 0.0923, 0.0353, 0.0807, 0.0166, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 54.0]), label=0.0, probability=DenseVector([0.0533, 0.1043, 0.3747, 0.0416, 0.0542, 0.102, 0.0029, 0.0123, 0.0157, 0.1009, 0.0343, 0.0815, 0.0197, 0.0027]))
Row(prediction=9.0, features=DenseVector([40.0, 34.0, 35.0]), label=9.0, probability=DenseVector([0.0359, 0.0921, 0.01, 0.006, 0.0273, 0.02, 0.0953, 0.0053, 0.0055, 0.6069, 0.0281, 0.0377, 0.0299, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 34.0, 37.0]), label=9.0, probability=DenseVector([0.0442, 0.0737, 0.0117, 0.0082, 0.0397, 0.0205, 0.1218, 0.0036, 0.0085, 0.4864, 0.0347, 0.1219, 0.0249, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 34.0, 38.0]), label=9.0, probability=DenseVector([0.0442, 0.0737, 0.0117, 0.0082, 0.0397, 0.0205, 0.1218, 0.0036, 0.0085, 0.4864, 0.0347, 0.1219, 0.0249, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 34.0, 46.0]), label=0.0, probability=DenseVector([0.034, 0.0529, 0.1971, 0.1047, 0.0299, 0.1338, 0.0255, 0.0035, 0.0103, 0.2415, 0.0144, 0.1284, 0.0193, 0.0047]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 50.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=11.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=11.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 54.0]), label=0.0, probability=DenseVector([0.0541, 0.0989, 0.3682, 0.0439, 0.0552, 0.113, 0.003, 0.0133, 0.0165, 0.0967, 0.0354, 0.0793, 0.0192, 0.0033]))
Row(prediction=9.0, features=DenseVector([40.0, 35.0, 36.0]), label=9.0, probability=DenseVector([0.0359, 0.0921, 0.01, 0.006, 0.0273, 0.02, 0.0953, 0.0053, 0.0055, 0.6069, 0.0281, 0.0377, 0.0299, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 35.0, 45.0]), label=9.0, probability=DenseVector([0.0352, 0.0528, 0.1873, 0.0951, 0.0317, 0.1073, 0.0337, 0.0033, 0.0103, 0.2872, 0.0148, 0.1172, 0.0197, 0.0045]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 47.0]), label=0.0, probability=DenseVector([0.035, 0.0664, 0.302, 0.0826, 0.0296, 0.1297, 0.0196, 0.0041, 0.0091, 0.1784, 0.0173, 0.107, 0.0156, 0.0036]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=11.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 53.0]), label=0.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 54.0]), label=0.0, probability=DenseVector([0.0541, 0.0989, 0.3682, 0.0439, 0.0552, 0.113, 0.003, 0.0133, 0.0165, 0.0967, 0.0354, 0.0793, 0.0192, 0.0033]))
Row(prediction=9.0, features=DenseVector([40.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.0359, 0.0921, 0.01, 0.006, 0.0273, 0.02, 0.0953, 0.0053, 0.0055, 0.6069, 0.0281, 0.0377, 0.0299, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.0359, 0.0921, 0.01, 0.006, 0.0273, 0.02, 0.0953, 0.0053, 0.0055, 0.6069, 0.0281, 0.0377, 0.0299, 0.0]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 47.0]), label=11.0, probability=DenseVector([0.0306, 0.0637, 0.3123, 0.0895, 0.0288, 0.1403, 0.0182, 0.0041, 0.0083, 0.1593, 0.0173, 0.1093, 0.0142, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 49.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 49.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 50.0]), label=11.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=11.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=11.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=9.0, features=DenseVector([40.0, 37.0, 32.0]), label=9.0, probability=DenseVector([0.0359, 0.0921, 0.01, 0.006, 0.0273, 0.02, 0.0953, 0.0053, 0.0055, 0.6069, 0.0281, 0.0377, 0.0299, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 37.0, 41.0]), label=9.0, probability=DenseVector([0.04, 0.0724, 0.036, 0.0202, 0.041, 0.0205, 0.0903, 0.003, 0.0091, 0.469, 0.0313, 0.1406, 0.0261, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 47.0]), label=9.0, probability=DenseVector([0.0306, 0.0637, 0.3123, 0.0895, 0.0288, 0.1403, 0.0182, 0.0041, 0.0083, 0.1593, 0.0173, 0.1093, 0.0142, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 49.0]), label=5.0, probability=DenseVector([0.0291, 0.0918, 0.5378, 0.0246, 0.0269, 0.0608, 0.0022, 0.0104, 0.0086, 0.0487, 0.022, 0.1258, 0.0095, 0.0017]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 49.0]), label=11.0, probability=DenseVector([0.0291, 0.0918, 0.5378, 0.0246, 0.0269, 0.0608, 0.0022, 0.0104, 0.0086, 0.0487, 0.022, 0.1258, 0.0095, 0.0017]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 52.0]), label=5.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=9.0, features=DenseVector([40.0, 38.0, 46.0]), label=11.0, probability=DenseVector([0.0284, 0.0425, 0.1667, 0.1616, 0.0281, 0.195, 0.0286, 0.0048, 0.0111, 0.2077, 0.0142, 0.0884, 0.0163, 0.0065]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 48.0]), label=5.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 48.0]), label=5.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=0.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=0.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 55.0]), label=5.0, probability=DenseVector([0.044, 0.0823, 0.2044, 0.1133, 0.0436, 0.3138, 0.0035, 0.0128, 0.0215, 0.0795, 0.0395, 0.0206, 0.0172, 0.0039]))
Row(prediction=9.0, features=DenseVector([40.0, 39.0, 44.0]), label=6.0, probability=DenseVector([0.0279, 0.0417, 0.1455, 0.1466, 0.0335, 0.1436, 0.0522, 0.0042, 0.0101, 0.2713, 0.0145, 0.0852, 0.0167, 0.0069]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 46.0]), label=9.0, probability=DenseVector([0.0251, 0.0397, 0.1687, 0.167, 0.0274, 0.2004, 0.0313, 0.0049, 0.0106, 0.1972, 0.0134, 0.0919, 0.0157, 0.0066]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 48.0]), label=9.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=0.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=9.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 52.0]), label=5.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=9.0, features=DenseVector([40.0, 40.0, 40.0]), label=9.0, probability=DenseVector([0.0532, 0.0753, 0.0105, 0.0088, 0.0416, 0.0031, 0.1478, 0.0032, 0.0091, 0.4653, 0.038, 0.1219, 0.0222, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.0489, 0.0711, 0.0386, 0.032, 0.0458, 0.009, 0.1223, 0.0029, 0.0102, 0.4443, 0.037, 0.113, 0.0234, 0.0014]))
Row(prediction=9.0, features=DenseVector([40.0, 40.0, 44.0]), label=9.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=9.0, features=DenseVector([40.0, 40.0, 45.0]), label=11.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 47.0]), label=11.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 47.0]), label=0.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 47.0]), label=0.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 48.0]), label=5.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 48.0]), label=5.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=11.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=9.0, features=DenseVector([40.0, 41.0, 39.0]), label=6.0, probability=DenseVector([0.0532, 0.0753, 0.0105, 0.0088, 0.0416, 0.0031, 0.1478, 0.0032, 0.0091, 0.4653, 0.038, 0.1219, 0.0222, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 41.0, 39.0]), label=9.0, probability=DenseVector([0.0532, 0.0753, 0.0105, 0.0088, 0.0416, 0.0031, 0.1478, 0.0032, 0.0091, 0.4653, 0.038, 0.1219, 0.0222, 0.0001]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 46.0]), label=6.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 46.0]), label=9.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 48.0]), label=13.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=5.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=9.0, features=DenseVector([40.0, 42.0, 44.0]), label=9.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=9.0, features=DenseVector([40.0, 42.0, 45.0]), label=2.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 46.0]), label=13.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=9.0, features=DenseVector([40.0, 43.0, 40.0]), label=0.0, probability=DenseVector([0.063, 0.0961, 0.0198, 0.0258, 0.0465, 0.002, 0.2492, 0.0027, 0.013, 0.394, 0.0433, 0.0264, 0.0156, 0.0026]))
Row(prediction=9.0, features=DenseVector([40.0, 43.0, 42.0]), label=9.0, probability=DenseVector([0.0406, 0.0545, 0.1125, 0.1422, 0.0443, 0.0489, 0.1119, 0.0042, 0.0135, 0.3128, 0.0313, 0.0501, 0.0177, 0.0155]))
Row(prediction=9.0, features=DenseVector([40.0, 43.0, 44.0]), label=9.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=9.0, features=DenseVector([40.0, 43.0, 45.0]), label=13.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=6.0, features=DenseVector([40.0, 44.0, 36.0]), label=9.0, probability=DenseVector([0.0656, 0.2406, 0.017, 0.0236, 0.029, 0.0009, 0.2895, 0.0028, 0.0098, 0.2721, 0.0186, 0.0167, 0.011, 0.0028]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.0641, 0.0983, 0.0219, 0.0273, 0.0426, 0.002, 0.2602, 0.0028, 0.0135, 0.3925, 0.0297, 0.0266, 0.0157, 0.0028]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 39.0]), label=6.0, probability=DenseVector([0.0641, 0.0983, 0.0219, 0.0273, 0.0426, 0.002, 0.2602, 0.0028, 0.0135, 0.3925, 0.0297, 0.0266, 0.0157, 0.0028]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 39.0]), label=0.0, probability=DenseVector([0.0641, 0.0983, 0.0219, 0.0273, 0.0426, 0.002, 0.2602, 0.0028, 0.0135, 0.3925, 0.0297, 0.0266, 0.0157, 0.0028]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 43.0]), label=9.0, probability=DenseVector([0.034, 0.0447, 0.1369, 0.1761, 0.0373, 0.0772, 0.0704, 0.0088, 0.0186, 0.291, 0.0158, 0.0494, 0.0169, 0.0231]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 43.0]), label=11.0, probability=DenseVector([0.034, 0.0447, 0.1369, 0.1761, 0.0373, 0.0772, 0.0704, 0.0088, 0.0186, 0.291, 0.0158, 0.0494, 0.0169, 0.0231]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 44.0]), label=9.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 45.0]), label=9.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 46.0]), label=9.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 46.0]), label=9.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=9.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=1.0, features=DenseVector([40.0, 45.0, 26.0]), label=11.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=6.0, features=DenseVector([40.0, 45.0, 32.0]), label=0.0, probability=DenseVector([0.0656, 0.2406, 0.017, 0.0236, 0.029, 0.0009, 0.2895, 0.0028, 0.0098, 0.2721, 0.0186, 0.0167, 0.011, 0.0028]))
Row(prediction=9.0, features=DenseVector([40.0, 45.0, 44.0]), label=9.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=9.0, features=DenseVector([40.0, 45.0, 45.0]), label=13.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=9.0, features=DenseVector([40.0, 45.0, 45.0]), label=9.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 46.0]), label=13.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 46.0]), label=9.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=13.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=9.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 49.0]), label=0.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=6.0, features=DenseVector([40.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.0698, 0.2086, 0.0187, 0.0261, 0.0298, 0.0009, 0.3108, 0.0033, 0.0131, 0.2682, 0.0194, 0.0163, 0.0123, 0.0028]))
Row(prediction=9.0, features=DenseVector([40.0, 46.0, 38.0]), label=0.0, probability=DenseVector([0.0657, 0.0946, 0.0225, 0.0301, 0.0409, 0.0015, 0.2883, 0.003, 0.0162, 0.3612, 0.0281, 0.0294, 0.0156, 0.0028]))
Row(prediction=9.0, features=DenseVector([40.0, 46.0, 40.0]), label=6.0, probability=DenseVector([0.065, 0.0955, 0.0281, 0.0314, 0.0417, 0.0015, 0.2775, 0.0042, 0.0186, 0.3609, 0.0283, 0.0294, 0.015, 0.0029]))
Row(prediction=9.0, features=DenseVector([40.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 46.0]), label=5.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 46.0]), label=9.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 46.0]), label=9.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 46.0]), label=9.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 46.0]), label=11.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 47.0]), label=9.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 49.0]), label=5.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=6.0, features=DenseVector([40.0, 47.0, 31.0]), label=6.0, probability=DenseVector([0.0643, 0.1701, 0.0187, 0.026, 0.027, 0.0008, 0.4034, 0.0045, 0.0145, 0.2217, 0.0173, 0.0148, 0.014, 0.0028]))
Row(prediction=6.0, features=DenseVector([40.0, 47.0, 40.0]), label=6.0, probability=DenseVector([0.0643, 0.0818, 0.0305, 0.0357, 0.0377, 0.0013, 0.3421, 0.0063, 0.0258, 0.3073, 0.0244, 0.0227, 0.0173, 0.003]))
Row(prediction=9.0, features=DenseVector([40.0, 47.0, 44.0]), label=13.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=9.0, features=DenseVector([40.0, 47.0, 44.0]), label=9.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=9.0, features=DenseVector([40.0, 47.0, 45.0]), label=9.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 46.0]), label=13.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 46.0]), label=11.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 47.0]), label=9.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 47.0]), label=11.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 52.0]), label=9.0, probability=DenseVector([0.0305, 0.0515, 0.2034, 0.2581, 0.0309, 0.1517, 0.0136, 0.0224, 0.0435, 0.109, 0.0178, 0.0252, 0.0206, 0.0218]))
Row(prediction=6.0, features=DenseVector([40.0, 48.0, 32.0]), label=6.0, probability=DenseVector([0.0586, 0.1272, 0.0195, 0.0319, 0.0227, 0.0002, 0.5716, 0.01, 0.0229, 0.0978, 0.0087, 0.0101, 0.0161, 0.0026]))
Row(prediction=6.0, features=DenseVector([40.0, 48.0, 32.0]), label=8.0, probability=DenseVector([0.0586, 0.1272, 0.0195, 0.0319, 0.0227, 0.0002, 0.5716, 0.01, 0.0229, 0.0978, 0.0087, 0.0101, 0.0161, 0.0026]))
Row(prediction=6.0, features=DenseVector([40.0, 48.0, 36.0]), label=6.0, probability=DenseVector([0.0606, 0.1016, 0.0335, 0.0464, 0.0233, 0.0002, 0.5298, 0.009, 0.0437, 0.1043, 0.0108, 0.0119, 0.0222, 0.0027]))
Row(prediction=6.0, features=DenseVector([40.0, 48.0, 38.0]), label=9.0, probability=DenseVector([0.0542, 0.0692, 0.0343, 0.0477, 0.0294, 0.0002, 0.4613, 0.0073, 0.0443, 0.1919, 0.0144, 0.0191, 0.0241, 0.0027]))
Row(prediction=9.0, features=DenseVector([40.0, 48.0, 42.0]), label=6.0, probability=DenseVector([0.0342, 0.0555, 0.1118, 0.1668, 0.0335, 0.0494, 0.1355, 0.0049, 0.014, 0.2967, 0.0122, 0.0448, 0.0163, 0.0244]))
Row(prediction=9.0, features=DenseVector([40.0, 48.0, 43.0]), label=9.0, probability=DenseVector([0.025, 0.042, 0.1343, 0.2032, 0.0298, 0.0719, 0.0837, 0.0075, 0.0156, 0.277, 0.0098, 0.0441, 0.0148, 0.0413]))
Row(prediction=9.0, features=DenseVector([40.0, 48.0, 44.0]), label=9.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=9.0, features=DenseVector([40.0, 48.0, 45.0]), label=13.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=3.0, features=DenseVector([40.0, 48.0, 47.0]), label=11.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 48.0, 49.0]), label=9.0, probability=DenseVector([0.0119, 0.0306, 0.1948, 0.3033, 0.0184, 0.1593, 0.0258, 0.0157, 0.0223, 0.1398, 0.0083, 0.0195, 0.0125, 0.0378]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 34.0]), label=9.0, probability=DenseVector([0.0563, 0.0998, 0.0195, 0.0319, 0.0225, 0.0002, 0.5975, 0.01, 0.0229, 0.1002, 0.0087, 0.0105, 0.0174, 0.0026]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.0563, 0.0998, 0.0195, 0.0319, 0.0225, 0.0002, 0.5975, 0.01, 0.0229, 0.1002, 0.0087, 0.0105, 0.0174, 0.0026]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0548, 0.067, 0.0374, 0.0498, 0.0294, 0.0002, 0.5, 0.0082, 0.0496, 0.1437, 0.0146, 0.0171, 0.0257, 0.0027]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0548, 0.067, 0.0374, 0.0498, 0.0294, 0.0002, 0.5, 0.0082, 0.0496, 0.1437, 0.0146, 0.0171, 0.0257, 0.0027]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0548, 0.067, 0.0374, 0.0498, 0.0294, 0.0002, 0.5, 0.0082, 0.0496, 0.1437, 0.0146, 0.0171, 0.0257, 0.0027]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 39.0]), label=9.0, probability=DenseVector([0.0548, 0.067, 0.0374, 0.0498, 0.0294, 0.0002, 0.5, 0.0082, 0.0496, 0.1437, 0.0146, 0.0171, 0.0257, 0.0027]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 40.0]), label=9.0, probability=DenseVector([0.054, 0.0679, 0.043, 0.0512, 0.0301, 0.0002, 0.4892, 0.0093, 0.052, 0.1434, 0.0149, 0.0171, 0.0251, 0.0028]))
Row(prediction=9.0, features=DenseVector([40.0, 49.0, 44.0]), label=9.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=3.0, features=DenseVector([40.0, 49.0, 46.0]), label=9.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0564, 0.1004, 0.0195, 0.0323, 0.0235, 0.0002, 0.6072, 0.01, 0.0233, 0.0828, 0.0087, 0.01, 0.0231, 0.0026]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0553, 0.0732, 0.0374, 0.0491, 0.0274, 0.0002, 0.5085, 0.0082, 0.0496, 0.1306, 0.0114, 0.0154, 0.0314, 0.0027]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0553, 0.0732, 0.0374, 0.0491, 0.0274, 0.0002, 0.5085, 0.0082, 0.0496, 0.1306, 0.0114, 0.0154, 0.0314, 0.0027]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0553, 0.0732, 0.0374, 0.0491, 0.0274, 0.0002, 0.5085, 0.0082, 0.0496, 0.1306, 0.0114, 0.0154, 0.0314, 0.0027]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 38.0]), label=9.0, probability=DenseVector([0.0553, 0.0732, 0.0374, 0.0491, 0.0274, 0.0002, 0.5085, 0.0082, 0.0496, 0.1306, 0.0114, 0.0154, 0.0314, 0.0027]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0545, 0.0741, 0.043, 0.0505, 0.0281, 0.0002, 0.4977, 0.0093, 0.052, 0.1303, 0.0116, 0.0153, 0.0307, 0.0028]))
Row(prediction=9.0, features=DenseVector([40.0, 50.0, 43.0]), label=6.0, probability=DenseVector([0.025, 0.042, 0.1343, 0.2032, 0.0298, 0.0719, 0.0837, 0.0075, 0.0156, 0.277, 0.0098, 0.0441, 0.0148, 0.0413]))
Row(prediction=9.0, features=DenseVector([40.0, 50.0, 45.0]), label=9.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=3.0, features=DenseVector([40.0, 50.0, 46.0]), label=6.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=6.0, features=DenseVector([40.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0503, 0.0461, 0.03, 0.0387, 0.0231, 0.0, 0.5884, 0.009, 0.0516, 0.1018, 0.0051, 0.0135, 0.0423, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0503, 0.0461, 0.03, 0.0387, 0.0231, 0.0, 0.5884, 0.009, 0.0516, 0.1018, 0.0051, 0.0135, 0.0423, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.038, 0.0453, 0.049, 0.0536, 0.0281, 0.0001, 0.4687, 0.008, 0.064, 0.1882, 0.0061, 0.0176, 0.0323, 0.0009]))
Row(prediction=9.0, features=DenseVector([40.0, 51.0, 46.0]), label=9.0, probability=DenseVector([0.0177, 0.032, 0.1318, 0.1747, 0.03, 0.1034, 0.096, 0.0022, 0.0126, 0.2957, 0.0075, 0.0605, 0.0177, 0.0181]))
Row(prediction=9.0, features=DenseVector([40.0, 51.0, 51.0]), label=9.0, probability=DenseVector([0.0085, 0.036, 0.15, 0.2328, 0.0282, 0.1232, 0.0636, 0.0077, 0.0195, 0.2667, 0.0096, 0.0205, 0.0189, 0.0148]))
Row(prediction=6.0, features=DenseVector([40.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0503, 0.0461, 0.03, 0.0387, 0.0231, 0.0, 0.5884, 0.009, 0.0516, 0.1018, 0.0051, 0.0135, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 52.0, 43.0]), label=9.0, probability=DenseVector([0.0201, 0.0348, 0.1007, 0.1521, 0.036, 0.0447, 0.1262, 0.0015, 0.012, 0.3788, 0.0086, 0.0476, 0.0188, 0.018]))
Row(prediction=9.0, features=DenseVector([40.0, 53.0, 44.0]), label=9.0, probability=DenseVector([0.0211, 0.033, 0.1108, 0.1606, 0.0347, 0.0467, 0.1185, 0.0015, 0.013, 0.3618, 0.0077, 0.0535, 0.017, 0.0201]))
Row(prediction=6.0, features=DenseVector([40.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0535, 0.0477, 0.0262, 0.0364, 0.0197, 0.0, 0.6452, 0.0098, 0.0462, 0.0606, 0.0046, 0.01, 0.0401, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 55.0, 43.0]), label=6.0, probability=DenseVector([0.0207, 0.0338, 0.1029, 0.1585, 0.0348, 0.0447, 0.1278, 0.0015, 0.0128, 0.3708, 0.0077, 0.0472, 0.0172, 0.0197]))
Row(prediction=9.0, features=DenseVector([40.0, 55.0, 48.0]), label=9.0, probability=DenseVector([0.0082, 0.0349, 0.1536, 0.2452, 0.0278, 0.1157, 0.056, 0.0091, 0.0197, 0.2687, 0.0082, 0.0195, 0.0177, 0.0157]))
Row(prediction=6.0, features=DenseVector([40.0, 56.0, 20.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 56.0, 25.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 56.0, 34.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 56.0, 35.0]), label=9.0, probability=DenseVector([0.0458, 0.0351, 0.018, 0.0258, 0.0158, 0.0, 0.7296, 0.0095, 0.0329, 0.0499, 0.0035, 0.0067, 0.0275, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 56.0, 36.0]), label=6.0, probability=DenseVector([0.0456, 0.0345, 0.0195, 0.0286, 0.0157, 0.0, 0.7145, 0.0087, 0.0357, 0.0572, 0.0042, 0.0075, 0.0283, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 57.0, 33.0]), label=6.0, probability=DenseVector([0.0332, 0.0248, 0.0074, 0.013, 0.012, 0.0, 0.8351, 0.0076, 0.0173, 0.0353, 0.0023, 0.0032, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 57.0, 36.0]), label=6.0, probability=DenseVector([0.0353, 0.0266, 0.0125, 0.0188, 0.0127, 0.0, 0.7853, 0.0071, 0.0241, 0.0514, 0.0035, 0.0053, 0.0173, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 57.0, 42.0]), label=6.0, probability=DenseVector([0.0203, 0.03, 0.0966, 0.146, 0.0317, 0.0447, 0.1656, 0.0015, 0.0087, 0.3707, 0.0071, 0.0447, 0.016, 0.0164]))
Row(prediction=9.0, features=DenseVector([40.0, 57.0, 56.0]), label=9.0, probability=DenseVector([0.0175, 0.0467, 0.1038, 0.1508, 0.0497, 0.0895, 0.0597, 0.0082, 0.0317, 0.3794, 0.0159, 0.0142, 0.031, 0.0019]))
Row(prediction=6.0, features=DenseVector([40.0, 58.0, 30.0]), label=6.0, probability=DenseVector([0.0332, 0.0248, 0.0074, 0.013, 0.012, 0.0, 0.8351, 0.0076, 0.0173, 0.0353, 0.0023, 0.0032, 0.0087, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 58.0, 59.0]), label=9.0, probability=DenseVector([0.0175, 0.0481, 0.1044, 0.1502, 0.0463, 0.0895, 0.0515, 0.0082, 0.0298, 0.3908, 0.0153, 0.0142, 0.0323, 0.0019]))
Row(prediction=6.0, features=DenseVector([40.0, 59.0, 17.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 59.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 59.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 59.0, 40.0]), label=6.0, probability=DenseVector([0.0266, 0.0262, 0.0117, 0.0177, 0.0136, 0.0, 0.7408, 0.0055, 0.0208, 0.1151, 0.0028, 0.0068, 0.0121, 0.0003]))
Row(prediction=6.0, features=DenseVector([40.0, 60.0, 13.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 61.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 61.0, 46.0]), label=9.0, probability=DenseVector([0.0172, 0.0305, 0.1233, 0.1656, 0.0223, 0.1033, 0.1809, 0.0022, 0.0099, 0.2519, 0.0057, 0.0536, 0.0179, 0.0158]))
Row(prediction=6.0, features=DenseVector([40.0, 62.0, 18.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 62.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 62.0, 39.0]), label=6.0, probability=DenseVector([0.0325, 0.0279, 0.0127, 0.0183, 0.0147, 0.0, 0.7495, 0.0059, 0.0241, 0.0845, 0.0036, 0.0069, 0.0193, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 62.0, 40.0]), label=6.0, probability=DenseVector([0.0266, 0.0262, 0.0117, 0.0177, 0.0136, 0.0, 0.7408, 0.0055, 0.0208, 0.1151, 0.0028, 0.0068, 0.0121, 0.0003]))
Row(prediction=6.0, features=DenseVector([40.0, 62.0, 40.0]), label=6.0, probability=DenseVector([0.0266, 0.0262, 0.0117, 0.0177, 0.0136, 0.0, 0.7408, 0.0055, 0.0208, 0.1151, 0.0028, 0.0068, 0.0121, 0.0003]))
Row(prediction=9.0, features=DenseVector([40.0, 62.0, 45.0]), label=6.0, probability=DenseVector([0.0199, 0.0316, 0.1023, 0.1476, 0.0282, 0.0488, 0.1992, 0.0014, 0.0095, 0.3107, 0.0067, 0.0595, 0.0184, 0.0163]))
Row(prediction=9.0, features=DenseVector([40.0, 62.0, 55.0]), label=9.0, probability=DenseVector([0.0169, 0.0523, 0.1011, 0.1536, 0.0421, 0.0889, 0.0888, 0.008, 0.0252, 0.3627, 0.0147, 0.0131, 0.031, 0.0017]))
Row(prediction=9.0, features=DenseVector([40.0, 62.0, 59.0]), label=9.0, probability=DenseVector([0.0169, 0.0523, 0.1011, 0.1536, 0.0421, 0.0889, 0.0888, 0.008, 0.0252, 0.3627, 0.0147, 0.0131, 0.031, 0.0017]))
Row(prediction=6.0, features=DenseVector([40.0, 63.0, 4.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 63.0, 5.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 63.0, 7.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 63.0, 10.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 63.0, 11.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 63.0, 11.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 63.0, 17.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 63.0, 39.0]), label=6.0, probability=DenseVector([0.0325, 0.0279, 0.0127, 0.0183, 0.0147, 0.0, 0.7495, 0.0059, 0.0241, 0.0845, 0.0036, 0.0069, 0.0193, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 63.0, 45.0]), label=6.0, probability=DenseVector([0.0199, 0.0316, 0.1023, 0.1476, 0.0282, 0.0488, 0.1992, 0.0014, 0.0095, 0.3107, 0.0067, 0.0595, 0.0184, 0.0163]))
Row(prediction=9.0, features=DenseVector([41.0, 0.0, 26.0]), label=9.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 7.0, 30.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 10.0, 63.0]), label=9.0, probability=DenseVector([0.0186, 0.0752, 0.202, 0.0116, 0.0219, 0.0294, 0.0017, 0.0031, 0.0047, 0.559, 0.0117, 0.0301, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 11.0, 57.0]), label=12.0, probability=DenseVector([0.0186, 0.0752, 0.202, 0.0116, 0.0219, 0.0294, 0.0017, 0.0031, 0.0047, 0.559, 0.0117, 0.0301, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 13.0, 34.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 13.0, 37.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 13.0, 40.0]), label=9.0, probability=DenseVector([0.0203, 0.1165, 0.0168, 0.0077, 0.0225, 0.0359, 0.0737, 0.0013, 0.0084, 0.5778, 0.0102, 0.0684, 0.0405, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 13.0, 59.0]), label=9.0, probability=DenseVector([0.0186, 0.0752, 0.202, 0.0116, 0.0219, 0.0294, 0.0017, 0.0031, 0.0047, 0.559, 0.0117, 0.0301, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 15.0, 27.0]), label=9.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 15.0, 37.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 15.0, 53.0]), label=9.0, probability=DenseVector([0.0186, 0.0752, 0.202, 0.0116, 0.0219, 0.0294, 0.0017, 0.0031, 0.0047, 0.559, 0.0117, 0.0301, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 16.0, 37.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 16.0, 41.0]), label=12.0, probability=DenseVector([0.0186, 0.1057, 0.0563, 0.0087, 0.0223, 0.0228, 0.0611, 0.0013, 0.0073, 0.5815, 0.0094, 0.0645, 0.0404, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 17.0, 43.0]), label=9.0, probability=DenseVector([0.0132, 0.0854, 0.2061, 0.0238, 0.0177, 0.0582, 0.0207, 0.0017, 0.0059, 0.4765, 0.0078, 0.0505, 0.0316, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 17.0, 44.0]), label=9.0, probability=DenseVector([0.0136, 0.0832, 0.311, 0.0234, 0.0166, 0.06, 0.0151, 0.0019, 0.0048, 0.3854, 0.0088, 0.0484, 0.0271, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 17.0, 45.0]), label=12.0, probability=DenseVector([0.0126, 0.0856, 0.3422, 0.0195, 0.0154, 0.0604, 0.011, 0.0018, 0.0046, 0.3648, 0.0086, 0.0469, 0.0259, 0.0007]))
Row(prediction=2.0, features=DenseVector([41.0, 17.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0941, 0.367, 0.0177, 0.014, 0.0709, 0.0044, 0.0019, 0.004, 0.3321, 0.0088, 0.0448, 0.028, 0.0007]))
Row(prediction=9.0, features=DenseVector([41.0, 18.0, 49.0]), label=12.0, probability=DenseVector([0.0116, 0.0828, 0.3063, 0.014, 0.0143, 0.044, 0.0006, 0.0028, 0.004, 0.4245, 0.0091, 0.0554, 0.0298, 0.0009]))
Row(prediction=9.0, features=DenseVector([41.0, 18.0, 50.0]), label=9.0, probability=DenseVector([0.0116, 0.0828, 0.3063, 0.014, 0.0143, 0.044, 0.0006, 0.0028, 0.004, 0.4245, 0.0091, 0.0554, 0.0298, 0.0009]))
Row(prediction=9.0, features=DenseVector([41.0, 19.0, 43.0]), label=9.0, probability=DenseVector([0.0132, 0.0854, 0.2061, 0.0238, 0.0177, 0.0582, 0.0207, 0.0017, 0.0059, 0.4765, 0.0078, 0.0505, 0.0316, 0.0008]))
Row(prediction=2.0, features=DenseVector([41.0, 19.0, 46.0]), label=9.0, probability=DenseVector([0.0124, 0.0862, 0.3644, 0.0247, 0.0143, 0.0721, 0.0074, 0.0019, 0.0045, 0.3181, 0.0087, 0.0592, 0.0251, 0.001]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 25.0]), label=9.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 28.0]), label=9.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 28.0]), label=9.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 36.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 42.0]), label=9.0, probability=DenseVector([0.0101, 0.0912, 0.1462, 0.0192, 0.0154, 0.0403, 0.026, 0.0007, 0.0044, 0.561, 0.0051, 0.0422, 0.0377, 0.0006]))
Row(prediction=2.0, features=DenseVector([41.0, 21.0, 47.0]), label=2.0, probability=DenseVector([0.0114, 0.0941, 0.367, 0.0177, 0.014, 0.0709, 0.0044, 0.0019, 0.004, 0.3321, 0.0088, 0.0448, 0.028, 0.0007]))
Row(prediction=9.0, features=DenseVector([41.0, 22.0, 38.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=2.0, features=DenseVector([41.0, 22.0, 48.0]), label=2.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=9.0, features=DenseVector([41.0, 23.0, 44.0]), label=9.0, probability=DenseVector([0.0143, 0.0865, 0.2883, 0.0242, 0.0182, 0.06, 0.0155, 0.0019, 0.005, 0.3834, 0.009, 0.0667, 0.0262, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 23.0, 45.0]), label=9.0, probability=DenseVector([0.0133, 0.089, 0.3195, 0.0203, 0.017, 0.0604, 0.0115, 0.0018, 0.0048, 0.3628, 0.0088, 0.0651, 0.025, 0.0007]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=9.0, features=DenseVector([41.0, 25.0, 41.0]), label=6.0, probability=DenseVector([0.0186, 0.1057, 0.0563, 0.0087, 0.0223, 0.0228, 0.0611, 0.0013, 0.0073, 0.5815, 0.0094, 0.0645, 0.0404, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 48.0]), label=9.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 46.0]), label=9.0, probability=DenseVector([0.0132, 0.0896, 0.3417, 0.0255, 0.0159, 0.0721, 0.0078, 0.0019, 0.0047, 0.3162, 0.0089, 0.0774, 0.0242, 0.001]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 49.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=9.0, features=DenseVector([41.0, 27.0, 39.0]), label=6.0, probability=DenseVector([0.0207, 0.1046, 0.016, 0.0051, 0.0255, 0.0255, 0.1025, 0.0016, 0.0089, 0.5795, 0.0122, 0.0591, 0.0385, 0.0001]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=9.0, features=DenseVector([41.0, 28.0, 44.0]), label=9.0, probability=DenseVector([0.0143, 0.0865, 0.2883, 0.0242, 0.0182, 0.06, 0.0155, 0.0019, 0.005, 0.3834, 0.009, 0.0667, 0.0262, 0.0008]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 52.0]), label=0.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 52.0]), label=12.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 29.0, 34.0]), label=6.0, probability=DenseVector([0.0146, 0.0986, 0.0093, 0.0045, 0.0177, 0.0217, 0.085, 0.0024, 0.0038, 0.6588, 0.0073, 0.0347, 0.0416, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 29.0, 35.0]), label=9.0, probability=DenseVector([0.0146, 0.0986, 0.0093, 0.0045, 0.0177, 0.0217, 0.085, 0.0024, 0.0038, 0.6588, 0.0073, 0.0347, 0.0416, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 29.0, 45.0]), label=9.0, probability=DenseVector([0.0133, 0.089, 0.3195, 0.0203, 0.017, 0.0604, 0.0115, 0.0018, 0.0048, 0.3628, 0.0088, 0.0651, 0.025, 0.0007]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 49.0]), label=9.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=9.0, features=DenseVector([41.0, 30.0, 41.0]), label=9.0, probability=DenseVector([0.0292, 0.0918, 0.0356, 0.0145, 0.0291, 0.0233, 0.0916, 0.0017, 0.0092, 0.5306, 0.0128, 0.0951, 0.0353, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 30.0, 43.0]), label=9.0, probability=DenseVector([0.033, 0.0627, 0.1584, 0.0821, 0.0306, 0.0911, 0.0391, 0.0022, 0.0096, 0.3536, 0.0121, 0.0998, 0.0225, 0.0032]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 52.0]), label=11.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 52.0]), label=11.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 52.0]), label=11.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 52.0]), label=11.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 52.0]), label=11.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=9.0, features=DenseVector([41.0, 31.0, 36.0]), label=9.0, probability=DenseVector([0.0154, 0.098, 0.0093, 0.0043, 0.0192, 0.0217, 0.0879, 0.0022, 0.0038, 0.6498, 0.0082, 0.039, 0.0414, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 31.0, 36.0]), label=9.0, probability=DenseVector([0.0154, 0.098, 0.0093, 0.0043, 0.0192, 0.0217, 0.0879, 0.0022, 0.0038, 0.6498, 0.0082, 0.039, 0.0414, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 31.0, 41.0]), label=9.0, probability=DenseVector([0.0292, 0.0918, 0.0356, 0.0145, 0.0291, 0.0233, 0.0916, 0.0017, 0.0092, 0.5306, 0.0128, 0.0951, 0.0353, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 31.0, 46.0]), label=9.0, probability=DenseVector([0.0322, 0.0589, 0.1963, 0.0938, 0.028, 0.1209, 0.0238, 0.0024, 0.0093, 0.239, 0.0128, 0.1592, 0.0199, 0.0036]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=12.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 52.0]), label=0.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=9.0, features=DenseVector([41.0, 32.0, 30.0]), label=9.0, probability=DenseVector([0.0247, 0.0962, 0.0096, 0.0049, 0.0204, 0.0218, 0.1031, 0.0039, 0.0043, 0.6297, 0.0114, 0.0373, 0.0328, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 32.0, 42.0]), label=9.0, probability=DenseVector([0.0303, 0.0591, 0.0982, 0.0776, 0.0304, 0.0727, 0.0716, 0.0015, 0.0083, 0.4182, 0.0114, 0.0915, 0.0262, 0.003]))
Row(prediction=9.0, features=DenseVector([41.0, 32.0, 43.0]), label=9.0, probability=DenseVector([0.033, 0.0627, 0.1584, 0.0821, 0.0306, 0.0911, 0.0391, 0.0022, 0.0096, 0.3536, 0.0121, 0.0998, 0.0225, 0.0032]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 49.0]), label=11.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 50.0]), label=11.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=11.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=11.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 53.0]), label=11.0, probability=DenseVector([0.0473, 0.1162, 0.4166, 0.0292, 0.0494, 0.0463, 0.003, 0.0098, 0.0154, 0.133, 0.0299, 0.0883, 0.0155, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 50.0]), label=11.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=0.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=11.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=0.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0515, 0.1073, 0.3864, 0.037, 0.0516, 0.1095, 0.0027, 0.0117, 0.0145, 0.0923, 0.0353, 0.0807, 0.0166, 0.003]))
Row(prediction=9.0, features=DenseVector([41.0, 34.0, 45.0]), label=9.0, probability=DenseVector([0.0352, 0.0528, 0.1873, 0.0951, 0.0317, 0.1073, 0.0337, 0.0033, 0.0103, 0.2872, 0.0148, 0.1172, 0.0197, 0.0045]))
Row(prediction=9.0, features=DenseVector([41.0, 34.0, 46.0]), label=9.0, probability=DenseVector([0.034, 0.0529, 0.1971, 0.1047, 0.0299, 0.1338, 0.0255, 0.0035, 0.0103, 0.2415, 0.0144, 0.1284, 0.0193, 0.0047]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=9.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=11.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=5.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 53.0]), label=0.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=9.0, features=DenseVector([41.0, 35.0, 22.0]), label=9.0, probability=DenseVector([0.0294, 0.104, 0.009, 0.0052, 0.0237, 0.0196, 0.0964, 0.0048, 0.0046, 0.6123, 0.0241, 0.0371, 0.0298, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 35.0, 24.0]), label=6.0, probability=DenseVector([0.0294, 0.104, 0.009, 0.0052, 0.0237, 0.0196, 0.0964, 0.0048, 0.0046, 0.6123, 0.0241, 0.0371, 0.0298, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 35.0, 31.0]), label=9.0, probability=DenseVector([0.0359, 0.0921, 0.01, 0.006, 0.0273, 0.02, 0.0953, 0.0053, 0.0055, 0.6069, 0.0281, 0.0377, 0.0299, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 35.0, 37.0]), label=6.0, probability=DenseVector([0.0442, 0.0737, 0.0117, 0.0082, 0.0397, 0.0205, 0.1218, 0.0036, 0.0085, 0.4864, 0.0347, 0.1219, 0.0249, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 35.0, 39.0]), label=6.0, probability=DenseVector([0.0442, 0.0737, 0.0117, 0.0082, 0.0397, 0.0205, 0.1218, 0.0036, 0.0085, 0.4864, 0.0347, 0.1219, 0.0249, 0.0001]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 49.0]), label=9.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=11.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=11.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=11.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=9.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 53.0]), label=0.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 53.0]), label=0.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 53.0]), label=0.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=9.0, features=DenseVector([41.0, 36.0, 32.0]), label=9.0, probability=DenseVector([0.0359, 0.0921, 0.01, 0.006, 0.0273, 0.02, 0.0953, 0.0053, 0.0055, 0.6069, 0.0281, 0.0377, 0.0299, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 36.0, 38.0]), label=9.0, probability=DenseVector([0.0442, 0.0737, 0.0117, 0.0082, 0.0397, 0.0205, 0.1218, 0.0036, 0.0085, 0.4864, 0.0347, 0.1219, 0.0249, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 36.0, 44.0]), label=9.0, probability=DenseVector([0.0312, 0.052, 0.1881, 0.0964, 0.0326, 0.1045, 0.0407, 0.0034, 0.0094, 0.2966, 0.0151, 0.1066, 0.019, 0.0045]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 50.0]), label=11.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 57.0]), label=9.0, probability=DenseVector([0.0531, 0.1008, 0.3674, 0.0417, 0.057, 0.1028, 0.0031, 0.0125, 0.0184, 0.1038, 0.0357, 0.0804, 0.0206, 0.0028]))
Row(prediction=9.0, features=DenseVector([41.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.0442, 0.0737, 0.0117, 0.0082, 0.0397, 0.0205, 0.1218, 0.0036, 0.0085, 0.4864, 0.0347, 0.1219, 0.0249, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 37.0, 41.0]), label=6.0, probability=DenseVector([0.04, 0.0724, 0.036, 0.0202, 0.041, 0.0205, 0.0903, 0.003, 0.0091, 0.469, 0.0313, 0.1406, 0.0261, 0.0004]))
Row(prediction=9.0, features=DenseVector([41.0, 37.0, 44.0]), label=9.0, probability=DenseVector([0.0312, 0.052, 0.1881, 0.0964, 0.0326, 0.1045, 0.0407, 0.0034, 0.0094, 0.2966, 0.0151, 0.1066, 0.019, 0.0045]))
Row(prediction=9.0, features=DenseVector([41.0, 37.0, 46.0]), label=11.0, probability=DenseVector([0.0296, 0.0502, 0.2074, 0.1116, 0.0291, 0.1444, 0.0241, 0.0035, 0.0095, 0.2224, 0.0144, 0.1307, 0.0179, 0.0051]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 47.0]), label=2.0, probability=DenseVector([0.0306, 0.0637, 0.3123, 0.0895, 0.0288, 0.1403, 0.0182, 0.0041, 0.0083, 0.1593, 0.0173, 0.1093, 0.0142, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 49.0]), label=5.0, probability=DenseVector([0.0291, 0.0918, 0.5378, 0.0246, 0.0269, 0.0608, 0.0022, 0.0104, 0.0086, 0.0487, 0.022, 0.1258, 0.0095, 0.0017]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 49.0]), label=5.0, probability=DenseVector([0.0291, 0.0918, 0.5378, 0.0246, 0.0269, 0.0608, 0.0022, 0.0104, 0.0086, 0.0487, 0.022, 0.1258, 0.0095, 0.0017]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=0.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=5.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 54.0]), label=0.0, probability=DenseVector([0.0541, 0.0989, 0.3682, 0.0439, 0.0552, 0.113, 0.003, 0.0133, 0.0165, 0.0967, 0.0354, 0.0793, 0.0192, 0.0033]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 63.0]), label=9.0, probability=DenseVector([0.0531, 0.1008, 0.3674, 0.0417, 0.057, 0.1028, 0.0031, 0.0125, 0.0184, 0.1038, 0.0357, 0.0804, 0.0206, 0.0028]))
Row(prediction=9.0, features=DenseVector([41.0, 38.0, 41.0]), label=0.0, probability=DenseVector([0.04, 0.0724, 0.036, 0.0202, 0.041, 0.0205, 0.0903, 0.003, 0.0091, 0.469, 0.0313, 0.1406, 0.0261, 0.0004]))
Row(prediction=9.0, features=DenseVector([41.0, 38.0, 42.0]), label=9.0, probability=DenseVector([0.0397, 0.05, 0.0953, 0.0995, 0.0412, 0.0722, 0.0767, 0.0028, 0.009, 0.3774, 0.0296, 0.0811, 0.0208, 0.0048]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 48.0]), label=5.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=0.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=0.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 52.0]), label=11.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 53.0]), label=9.0, probability=DenseVector([0.0428, 0.0806, 0.2144, 0.1107, 0.039, 0.3383, 0.0029, 0.0134, 0.018, 0.0634, 0.0406, 0.0175, 0.0132, 0.0053]))
Row(prediction=9.0, features=DenseVector([41.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.0422, 0.09, 0.0093, 0.0062, 0.0292, 0.0193, 0.103, 0.0051, 0.0052, 0.5935, 0.0309, 0.0374, 0.0285, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 39.0, 37.0]), label=9.0, probability=DenseVector([0.0505, 0.0716, 0.011, 0.0085, 0.0417, 0.0198, 0.1295, 0.0034, 0.0083, 0.473, 0.0375, 0.1217, 0.0235, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 39.0, 44.0]), label=0.0, probability=DenseVector([0.0279, 0.0417, 0.1455, 0.1466, 0.0335, 0.1436, 0.0522, 0.0042, 0.0101, 0.2713, 0.0145, 0.0852, 0.0167, 0.0069]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 46.0]), label=9.0, probability=DenseVector([0.0251, 0.0397, 0.1687, 0.167, 0.0274, 0.2004, 0.0313, 0.0049, 0.0106, 0.1972, 0.0134, 0.0919, 0.0157, 0.0066]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 46.0]), label=9.0, probability=DenseVector([0.0251, 0.0397, 0.1687, 0.167, 0.0274, 0.2004, 0.0313, 0.0049, 0.0106, 0.1972, 0.0134, 0.0919, 0.0157, 0.0066]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 48.0]), label=5.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 49.0]), label=5.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 49.0]), label=9.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 49.0]), label=9.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=0.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=5.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=9.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 54.0]), label=0.0, probability=DenseVector([0.0451, 0.0805, 0.2053, 0.1155, 0.0417, 0.324, 0.0033, 0.0136, 0.0196, 0.0724, 0.0393, 0.0196, 0.0158, 0.0045]))
Row(prediction=9.0, features=DenseVector([41.0, 40.0, 39.0]), label=9.0, probability=DenseVector([0.0532, 0.0753, 0.0105, 0.0088, 0.0416, 0.0031, 0.1478, 0.0032, 0.0091, 0.4653, 0.038, 0.1219, 0.0222, 0.0001]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 47.0]), label=9.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 47.0]), label=0.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 48.0]), label=9.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=5.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=9.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 51.0]), label=5.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 52.0]), label=5.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=9.0, features=DenseVector([41.0, 41.0, 42.0]), label=9.0, probability=DenseVector([0.0422, 0.0412, 0.1074, 0.1296, 0.0452, 0.0492, 0.0836, 0.0049, 0.0118, 0.3632, 0.0326, 0.0571, 0.019, 0.0131]))
Row(prediction=9.0, features=DenseVector([41.0, 41.0, 45.0]), label=13.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=9.0, features=DenseVector([41.0, 42.0, 31.0]), label=9.0, probability=DenseVector([0.0487, 0.0919, 0.0094, 0.0074, 0.0307, 0.0024, 0.1311, 0.0049, 0.0063, 0.5746, 0.0331, 0.0339, 0.0254, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 42.0, 35.0]), label=6.0, probability=DenseVector([0.0487, 0.0919, 0.0094, 0.0074, 0.0307, 0.0024, 0.1311, 0.0049, 0.0063, 0.5746, 0.0331, 0.0339, 0.0254, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 42.0, 43.0]), label=9.0, probability=DenseVector([0.033, 0.0378, 0.1347, 0.1709, 0.0372, 0.0773, 0.0602, 0.0089, 0.0178, 0.3145, 0.0151, 0.0532, 0.018, 0.0215]))
Row(prediction=9.0, features=DenseVector([41.0, 42.0, 44.0]), label=9.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=9.0, features=DenseVector([41.0, 42.0, 45.0]), label=9.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 46.0]), label=6.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 47.0]), label=9.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 47.0]), label=9.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 48.0]), label=9.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 49.0]), label=9.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 50.0]), label=5.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 51.0]), label=9.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 52.0]), label=6.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=9.0, features=DenseVector([41.0, 43.0, 34.0]), label=9.0, probability=DenseVector([0.0615, 0.2105, 0.0151, 0.0221, 0.0329, 0.0009, 0.2697, 0.0028, 0.0094, 0.3088, 0.0322, 0.0185, 0.013, 0.0026]))
Row(prediction=9.0, features=DenseVector([41.0, 43.0, 41.0]), label=6.0, probability=DenseVector([0.0565, 0.0894, 0.0477, 0.0489, 0.0505, 0.008, 0.2115, 0.0024, 0.0133, 0.367, 0.0425, 0.0416, 0.0166, 0.004]))
Row(prediction=9.0, features=DenseVector([41.0, 43.0, 42.0]), label=0.0, probability=DenseVector([0.0406, 0.0545, 0.1125, 0.1422, 0.0443, 0.0489, 0.1119, 0.0042, 0.0135, 0.3128, 0.0313, 0.0501, 0.0177, 0.0155]))
Row(prediction=9.0, features=DenseVector([41.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.034, 0.0447, 0.1369, 0.1761, 0.0373, 0.0772, 0.0704, 0.0088, 0.0186, 0.291, 0.0158, 0.0494, 0.0169, 0.0231]))
Row(prediction=9.0, features=DenseVector([41.0, 43.0, 44.0]), label=0.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=9.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=11.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=9.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=9.0, features=DenseVector([41.0, 44.0, 43.0]), label=9.0, probability=DenseVector([0.034, 0.0447, 0.1369, 0.1761, 0.0373, 0.0772, 0.0704, 0.0088, 0.0186, 0.291, 0.0158, 0.0494, 0.0169, 0.0231]))
Row(prediction=9.0, features=DenseVector([41.0, 44.0, 43.0]), label=9.0, probability=DenseVector([0.034, 0.0447, 0.1369, 0.1761, 0.0373, 0.0772, 0.0704, 0.0088, 0.0186, 0.291, 0.0158, 0.0494, 0.0169, 0.0231]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=9.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=11.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=11.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 49.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 50.0]), label=5.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 50.0]), label=5.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 52.0]), label=2.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 38.0]), label=9.0, probability=DenseVector([0.0641, 0.0983, 0.0219, 0.0273, 0.0426, 0.002, 0.2602, 0.0028, 0.0135, 0.3925, 0.0297, 0.0266, 0.0157, 0.0028]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 39.0]), label=9.0, probability=DenseVector([0.0641, 0.0983, 0.0219, 0.0273, 0.0426, 0.002, 0.2602, 0.0028, 0.0135, 0.3925, 0.0297, 0.0266, 0.0157, 0.0028]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 42.0]), label=11.0, probability=DenseVector([0.0412, 0.0557, 0.1121, 0.1499, 0.0399, 0.0488, 0.1315, 0.0042, 0.0137, 0.3012, 0.018, 0.0508, 0.0172, 0.0156]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 44.0]), label=6.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 45.0]), label=5.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 45.0]), label=9.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 45.0]), label=9.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 45.0]), label=9.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 46.0]), label=5.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 46.0]), label=9.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 48.0]), label=5.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=9.0, features=DenseVector([41.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.0542, 0.0877, 0.056, 0.073, 0.0416, 0.0077, 0.2417, 0.0044, 0.0194, 0.3211, 0.0251, 0.0391, 0.0149, 0.014]))
Row(prediction=9.0, features=DenseVector([41.0, 46.0, 43.0]), label=9.0, probability=DenseVector([0.025, 0.042, 0.1343, 0.2032, 0.0298, 0.0719, 0.0837, 0.0075, 0.0156, 0.277, 0.0098, 0.0441, 0.0148, 0.0413]))
Row(prediction=9.0, features=DenseVector([41.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=9.0, features=DenseVector([41.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=9.0, features=DenseVector([41.0, 46.0, 45.0]), label=9.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 46.0]), label=5.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 47.0]), label=11.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=6.0, features=DenseVector([41.0, 47.0, 31.0]), label=0.0, probability=DenseVector([0.0643, 0.1701, 0.0187, 0.026, 0.027, 0.0008, 0.4034, 0.0045, 0.0145, 0.2217, 0.0173, 0.0148, 0.014, 0.0028]))
Row(prediction=6.0, features=DenseVector([41.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.0643, 0.1701, 0.0187, 0.026, 0.027, 0.0008, 0.4034, 0.0045, 0.0145, 0.2217, 0.0173, 0.0148, 0.014, 0.0028]))
Row(prediction=6.0, features=DenseVector([41.0, 47.0, 41.0]), label=11.0, probability=DenseVector([0.0536, 0.074, 0.0583, 0.0772, 0.0376, 0.0075, 0.3062, 0.0066, 0.0266, 0.2674, 0.0212, 0.0324, 0.0172, 0.0141]))
Row(prediction=9.0, features=DenseVector([41.0, 47.0, 42.0]), label=9.0, probability=DenseVector([0.0342, 0.0555, 0.1118, 0.1668, 0.0335, 0.0494, 0.1355, 0.0049, 0.014, 0.2967, 0.0122, 0.0448, 0.0163, 0.0244]))
Row(prediction=3.0, features=DenseVector([41.0, 47.0, 46.0]), label=9.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([41.0, 47.0, 52.0]), label=11.0, probability=DenseVector([0.0305, 0.0515, 0.2034, 0.2581, 0.0309, 0.1517, 0.0136, 0.0224, 0.0435, 0.109, 0.0178, 0.0252, 0.0206, 0.0218]))
Row(prediction=6.0, features=DenseVector([41.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.0586, 0.1272, 0.0195, 0.0319, 0.0227, 0.0002, 0.5716, 0.01, 0.0229, 0.0978, 0.0087, 0.0101, 0.0161, 0.0026]))
Row(prediction=6.0, features=DenseVector([41.0, 48.0, 36.0]), label=6.0, probability=DenseVector([0.0606, 0.1016, 0.0335, 0.0464, 0.0233, 0.0002, 0.5298, 0.009, 0.0437, 0.1043, 0.0108, 0.0119, 0.0222, 0.0027]))
Row(prediction=6.0, features=DenseVector([41.0, 48.0, 37.0]), label=9.0, probability=DenseVector([0.0542, 0.0692, 0.0343, 0.0477, 0.0294, 0.0002, 0.4613, 0.0073, 0.0443, 0.1919, 0.0144, 0.0191, 0.0241, 0.0027]))
Row(prediction=6.0, features=DenseVector([41.0, 48.0, 37.0]), label=6.0, probability=DenseVector([0.0542, 0.0692, 0.0343, 0.0477, 0.0294, 0.0002, 0.4613, 0.0073, 0.0443, 0.1919, 0.0144, 0.0191, 0.0241, 0.0027]))
Row(prediction=6.0, features=DenseVector([41.0, 48.0, 37.0]), label=9.0, probability=DenseVector([0.0542, 0.0692, 0.0343, 0.0477, 0.0294, 0.0002, 0.4613, 0.0073, 0.0443, 0.1919, 0.0144, 0.0191, 0.0241, 0.0027]))
Row(prediction=9.0, features=DenseVector([41.0, 48.0, 43.0]), label=9.0, probability=DenseVector([0.025, 0.042, 0.1343, 0.2032, 0.0298, 0.0719, 0.0837, 0.0075, 0.0156, 0.277, 0.0098, 0.0441, 0.0148, 0.0413]))
Row(prediction=3.0, features=DenseVector([41.0, 48.0, 47.0]), label=11.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([41.0, 48.0, 48.0]), label=13.0, probability=DenseVector([0.0119, 0.0306, 0.1948, 0.3033, 0.0184, 0.1593, 0.0258, 0.0157, 0.0223, 0.1398, 0.0083, 0.0195, 0.0125, 0.0378]))
Row(prediction=3.0, features=DenseVector([41.0, 48.0, 48.0]), label=6.0, probability=DenseVector([0.0119, 0.0306, 0.1948, 0.3033, 0.0184, 0.1593, 0.0258, 0.0157, 0.0223, 0.1398, 0.0083, 0.0195, 0.0125, 0.0378]))
Row(prediction=6.0, features=DenseVector([41.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0548, 0.067, 0.0374, 0.0498, 0.0294, 0.0002, 0.5, 0.0082, 0.0496, 0.1437, 0.0146, 0.0171, 0.0257, 0.0027]))
Row(prediction=6.0, features=DenseVector([41.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0548, 0.067, 0.0374, 0.0498, 0.0294, 0.0002, 0.5, 0.0082, 0.0496, 0.1437, 0.0146, 0.0171, 0.0257, 0.0027]))
Row(prediction=6.0, features=DenseVector([41.0, 49.0, 40.0]), label=9.0, probability=DenseVector([0.054, 0.0679, 0.043, 0.0512, 0.0301, 0.0002, 0.4892, 0.0093, 0.052, 0.1434, 0.0149, 0.0171, 0.0251, 0.0028]))
Row(prediction=6.0, features=DenseVector([41.0, 49.0, 40.0]), label=6.0, probability=DenseVector([0.054, 0.0679, 0.043, 0.0512, 0.0301, 0.0002, 0.4892, 0.0093, 0.052, 0.1434, 0.0149, 0.0171, 0.0251, 0.0028]))
Row(prediction=6.0, features=DenseVector([41.0, 49.0, 40.0]), label=9.0, probability=DenseVector([0.054, 0.0679, 0.043, 0.0512, 0.0301, 0.0002, 0.4892, 0.0093, 0.052, 0.1434, 0.0149, 0.0171, 0.0251, 0.0028]))
Row(prediction=6.0, features=DenseVector([41.0, 49.0, 41.0]), label=9.0, probability=DenseVector([0.0467, 0.068, 0.0579, 0.0784, 0.0327, 0.0068, 0.3919, 0.0083, 0.0312, 0.2014, 0.015, 0.0293, 0.0185, 0.0139]))
Row(prediction=6.0, features=DenseVector([41.0, 49.0, 41.0]), label=11.0, probability=DenseVector([0.0467, 0.068, 0.0579, 0.0784, 0.0327, 0.0068, 0.3919, 0.0083, 0.0312, 0.2014, 0.015, 0.0293, 0.0185, 0.0139]))
Row(prediction=6.0, features=DenseVector([41.0, 49.0, 41.0]), label=9.0, probability=DenseVector([0.0467, 0.068, 0.0579, 0.0784, 0.0327, 0.0068, 0.3919, 0.0083, 0.0312, 0.2014, 0.015, 0.0293, 0.0185, 0.0139]))
Row(prediction=9.0, features=DenseVector([41.0, 49.0, 43.0]), label=9.0, probability=DenseVector([0.025, 0.042, 0.1343, 0.2032, 0.0298, 0.0719, 0.0837, 0.0075, 0.0156, 0.277, 0.0098, 0.0441, 0.0148, 0.0413]))
Row(prediction=9.0, features=DenseVector([41.0, 49.0, 43.0]), label=9.0, probability=DenseVector([0.025, 0.042, 0.1343, 0.2032, 0.0298, 0.0719, 0.0837, 0.0075, 0.0156, 0.277, 0.0098, 0.0441, 0.0148, 0.0413]))
Row(prediction=6.0, features=DenseVector([41.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.0564, 0.1004, 0.0195, 0.0323, 0.0235, 0.0002, 0.6072, 0.01, 0.0233, 0.0828, 0.0087, 0.01, 0.0231, 0.0026]))
Row(prediction=6.0, features=DenseVector([41.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.0584, 0.0747, 0.0335, 0.0468, 0.0241, 0.0002, 0.5653, 0.009, 0.0441, 0.0894, 0.0108, 0.0118, 0.0291, 0.0027]))
Row(prediction=6.0, features=DenseVector([41.0, 50.0, 36.0]), label=6.0, probability=DenseVector([0.0584, 0.0747, 0.0335, 0.0468, 0.0241, 0.0002, 0.5653, 0.009, 0.0441, 0.0894, 0.0108, 0.0118, 0.0291, 0.0027]))
Row(prediction=6.0, features=DenseVector([41.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0553, 0.0732, 0.0374, 0.0491, 0.0274, 0.0002, 0.5085, 0.0082, 0.0496, 0.1306, 0.0114, 0.0154, 0.0314, 0.0027]))
Row(prediction=6.0, features=DenseVector([41.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0553, 0.0732, 0.0374, 0.0491, 0.0274, 0.0002, 0.5085, 0.0082, 0.0496, 0.1306, 0.0114, 0.0154, 0.0314, 0.0027]))
Row(prediction=6.0, features=DenseVector([41.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0553, 0.0732, 0.0374, 0.0491, 0.0274, 0.0002, 0.5085, 0.0082, 0.0496, 0.1306, 0.0114, 0.0154, 0.0314, 0.0027]))
Row(prediction=9.0, features=DenseVector([41.0, 50.0, 44.0]), label=9.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=9.0, features=DenseVector([41.0, 50.0, 44.0]), label=9.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=3.0, features=DenseVector([41.0, 50.0, 50.0]), label=9.0, probability=DenseVector([0.0122, 0.0334, 0.1921, 0.2947, 0.0191, 0.1669, 0.0257, 0.0143, 0.0227, 0.1403, 0.0092, 0.0193, 0.0129, 0.0373]))
Row(prediction=6.0, features=DenseVector([41.0, 51.0, 35.0]), label=6.0, probability=DenseVector([0.0533, 0.0488, 0.0192, 0.0288, 0.0195, 0.0, 0.6798, 0.0109, 0.0358, 0.0547, 0.0036, 0.0087, 0.037, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0503, 0.0461, 0.03, 0.0387, 0.0231, 0.0, 0.5884, 0.009, 0.0516, 0.1018, 0.0051, 0.0135, 0.0423, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0503, 0.0461, 0.03, 0.0387, 0.0231, 0.0, 0.5884, 0.009, 0.0516, 0.1018, 0.0051, 0.0135, 0.0423, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0503, 0.0461, 0.03, 0.0387, 0.0231, 0.0, 0.5884, 0.009, 0.0516, 0.1018, 0.0051, 0.0135, 0.0423, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 51.0, 41.0]), label=6.0, probability=DenseVector([0.0307, 0.0455, 0.0639, 0.0808, 0.0307, 0.0068, 0.3714, 0.007, 0.0432, 0.2461, 0.0062, 0.0299, 0.0257, 0.012]))
Row(prediction=6.0, features=DenseVector([41.0, 51.0, 41.0]), label=9.0, probability=DenseVector([0.0307, 0.0455, 0.0639, 0.0808, 0.0307, 0.0068, 0.3714, 0.007, 0.0432, 0.2461, 0.0062, 0.0299, 0.0257, 0.012]))
Row(prediction=9.0, features=DenseVector([41.0, 51.0, 43.0]), label=6.0, probability=DenseVector([0.0201, 0.0348, 0.1007, 0.1521, 0.036, 0.0447, 0.1262, 0.0015, 0.012, 0.3788, 0.0086, 0.0476, 0.0188, 0.018]))
Row(prediction=9.0, features=DenseVector([41.0, 51.0, 50.0]), label=9.0, probability=DenseVector([0.0085, 0.036, 0.15, 0.2328, 0.0282, 0.1232, 0.0636, 0.0077, 0.0195, 0.2667, 0.0096, 0.0205, 0.0189, 0.0148]))
Row(prediction=6.0, features=DenseVector([41.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0503, 0.0461, 0.03, 0.0387, 0.0231, 0.0, 0.5884, 0.009, 0.0516, 0.1018, 0.0051, 0.0135, 0.0423, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0307, 0.0455, 0.0639, 0.0808, 0.0307, 0.0068, 0.3714, 0.007, 0.0432, 0.2461, 0.0062, 0.0299, 0.0257, 0.012]))
Row(prediction=6.0, features=DenseVector([41.0, 53.0, 35.0]), label=6.0, probability=DenseVector([0.0533, 0.0488, 0.0192, 0.0288, 0.0195, 0.0, 0.6798, 0.0109, 0.0358, 0.0547, 0.0036, 0.0087, 0.037, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 53.0, 37.0]), label=6.0, probability=DenseVector([0.0503, 0.0461, 0.03, 0.0387, 0.0231, 0.0, 0.5884, 0.009, 0.0516, 0.1018, 0.0051, 0.0135, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 53.0, 42.0]), label=9.0, probability=DenseVector([0.0207, 0.0338, 0.1029, 0.1585, 0.0348, 0.0447, 0.1278, 0.0015, 0.0128, 0.3708, 0.0077, 0.0472, 0.0172, 0.0197]))
Row(prediction=9.0, features=DenseVector([41.0, 53.0, 43.0]), label=6.0, probability=DenseVector([0.0207, 0.0338, 0.1029, 0.1585, 0.0348, 0.0447, 0.1278, 0.0015, 0.0128, 0.3708, 0.0077, 0.0472, 0.0172, 0.0197]))
Row(prediction=6.0, features=DenseVector([41.0, 54.0, 24.0]), label=6.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 54.0, 32.0]), label=6.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 56.0, 31.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 56.0, 39.0]), label=6.0, probability=DenseVector([0.0446, 0.0366, 0.0197, 0.0286, 0.0177, 0.0, 0.6729, 0.0079, 0.0367, 0.0912, 0.0043, 0.009, 0.0306, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 56.0, 39.0]), label=6.0, probability=DenseVector([0.0446, 0.0366, 0.0197, 0.0286, 0.0177, 0.0, 0.6729, 0.0079, 0.0367, 0.0912, 0.0043, 0.009, 0.0306, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 56.0, 40.0]), label=6.0, probability=DenseVector([0.034, 0.0353, 0.0259, 0.0422, 0.0222, 0.0001, 0.5904, 0.0067, 0.0351, 0.169, 0.0037, 0.0132, 0.0196, 0.0026]))
Row(prediction=9.0, features=DenseVector([41.0, 56.0, 45.0]), label=6.0, probability=DenseVector([0.0208, 0.0301, 0.1109, 0.1599, 0.0327, 0.0489, 0.1196, 0.0014, 0.0116, 0.3581, 0.007, 0.0646, 0.0157, 0.0187]))
Row(prediction=9.0, features=DenseVector([41.0, 56.0, 56.0]), label=9.0, probability=DenseVector([0.0177, 0.0517, 0.1051, 0.1567, 0.0483, 0.0897, 0.0492, 0.0082, 0.031, 0.3778, 0.0156, 0.0145, 0.0322, 0.0024]))
Row(prediction=9.0, features=DenseVector([41.0, 57.0, 43.0]), label=6.0, probability=DenseVector([0.0198, 0.0295, 0.0982, 0.147, 0.0358, 0.0447, 0.1326, 0.0015, 0.0117, 0.3947, 0.0076, 0.0447, 0.0159, 0.0164]))
Row(prediction=9.0, features=DenseVector([41.0, 57.0, 53.0]), label=9.0, probability=DenseVector([0.0175, 0.0467, 0.1038, 0.1508, 0.0497, 0.0895, 0.0597, 0.0082, 0.0317, 0.3794, 0.0159, 0.0142, 0.031, 0.0019]))
Row(prediction=6.0, features=DenseVector([41.0, 58.0, 13.0]), label=6.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 58.0, 27.0]), label=6.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 58.0, 37.0]), label=9.0, probability=DenseVector([0.0343, 0.0287, 0.0127, 0.0188, 0.0148, 0.0, 0.7436, 0.0063, 0.0251, 0.0854, 0.0037, 0.0069, 0.0195, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 59.0, 18.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 59.0, 27.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 59.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 59.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 60.0, 15.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 60.0, 21.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 60.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 61.0, 27.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 61.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 61.0, 43.0]), label=9.0, probability=DenseVector([0.0191, 0.0254, 0.0902, 0.132, 0.0258, 0.0446, 0.2785, 0.0015, 0.0072, 0.3029, 0.0063, 0.0381, 0.0128, 0.0157]))
Row(prediction=6.0, features=DenseVector([41.0, 62.0, 18.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 62.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 62.0, 37.0]), label=6.0, probability=DenseVector([0.0325, 0.0279, 0.0127, 0.0183, 0.0147, 0.0, 0.7495, 0.0059, 0.0241, 0.0845, 0.0036, 0.0069, 0.0193, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 62.0, 46.0]), label=6.0, probability=DenseVector([0.0172, 0.0305, 0.1233, 0.1656, 0.0223, 0.1033, 0.1809, 0.0022, 0.0099, 0.2519, 0.0057, 0.0536, 0.0179, 0.0158]))
Row(prediction=9.0, features=DenseVector([41.0, 62.0, 63.0]), label=9.0, probability=DenseVector([0.0169, 0.0523, 0.1011, 0.1536, 0.0421, 0.0889, 0.0888, 0.008, 0.0252, 0.3627, 0.0147, 0.0131, 0.031, 0.0017]))
Row(prediction=6.0, features=DenseVector([41.0, 63.0, 3.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 63.0, 4.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 63.0, 6.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 63.0, 9.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 63.0, 14.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 63.0, 17.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 63.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 63.0, 40.0]), label=6.0, probability=DenseVector([0.0266, 0.0262, 0.0117, 0.0177, 0.0136, 0.0, 0.7408, 0.0055, 0.0208, 0.1151, 0.0028, 0.0068, 0.0121, 0.0003]))
Row(prediction=9.0, features=DenseVector([42.0, 0.0, 36.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 2.0, 46.0]), label=9.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=9.0, features=DenseVector([42.0, 6.0, 25.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 9.0, 23.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 9.0, 36.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 9.0, 38.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 10.0, 41.0]), label=9.0, probability=DenseVector([0.0185, 0.0906, 0.0765, 0.0088, 0.0194, 0.0037, 0.047, 0.0011, 0.0056, 0.5748, 0.0079, 0.1107, 0.0353, 0.0002]))
Row(prediction=9.0, features=DenseVector([42.0, 11.0, 29.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 11.0, 38.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 11.0, 45.0]), label=9.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 12.0, 26.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 12.0, 30.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 12.0, 32.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 12.0, 34.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 12.0, 34.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 12.0, 50.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 13.0, 37.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 14.0, 28.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 14.0, 35.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 14.0, 40.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 14.0, 40.0]), label=12.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 14.0, 43.0]), label=12.0, probability=DenseVector([0.0097, 0.0745, 0.2084, 0.019, 0.0138, 0.0203, 0.0206, 0.0005, 0.0034, 0.5019, 0.0042, 0.092, 0.0312, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 15.0, 40.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 15.0, 55.0]), label=11.0, probability=DenseVector([0.0096, 0.0793, 0.1829, 0.006, 0.0177, 0.0074, 0.0016, 0.0013, 0.0039, 0.6133, 0.0067, 0.0379, 0.0324, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 16.0, 40.0]), label=2.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 23.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 33.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 36.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 40.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 43.0]), label=9.0, probability=DenseVector([0.0097, 0.0745, 0.2084, 0.019, 0.0138, 0.0203, 0.0206, 0.0005, 0.0034, 0.5019, 0.0042, 0.092, 0.0312, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 18.0, 36.0]), label=12.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 19.0, 44.0]), label=9.0, probability=DenseVector([0.0077, 0.0718, 0.2981, 0.0211, 0.0117, 0.021, 0.0153, 0.0004, 0.0023, 0.4202, 0.0034, 0.0992, 0.0272, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 19.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 44.0]), label=2.0, probability=DenseVector([0.0077, 0.0718, 0.2981, 0.0211, 0.0117, 0.021, 0.0153, 0.0004, 0.0023, 0.4202, 0.0034, 0.0992, 0.0272, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 20.0, 45.0]), label=9.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 20.0, 47.0]), label=2.0, probability=DenseVector([0.0066, 0.0873, 0.3996, 0.02, 0.0095, 0.0347, 0.0018, 0.0004, 0.0016, 0.3511, 0.004, 0.0557, 0.027, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 52.0]), label=12.0, probability=DenseVector([0.0081, 0.0727, 0.2377, 0.0057, 0.0125, 0.0074, 0.001, 0.0017, 0.0029, 0.5663, 0.0053, 0.0489, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 54.0]), label=9.0, probability=DenseVector([0.0096, 0.0793, 0.1829, 0.006, 0.0177, 0.0074, 0.0016, 0.0013, 0.0039, 0.6133, 0.0067, 0.0379, 0.0324, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 21.0, 33.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 21.0, 38.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 21.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 21.0, 46.0]), label=2.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=2.0, features=DenseVector([42.0, 21.0, 46.0]), label=2.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=9.0, features=DenseVector([42.0, 22.0, 36.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 22.0, 38.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 22.0, 38.0]), label=12.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 22.0, 46.0]), label=9.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([42.0, 22.0, 46.0]), label=2.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([42.0, 22.0, 46.0]), label=2.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([42.0, 22.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 22.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 22.0, 50.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 23.0, 36.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 23.0, 40.0]), label=9.0, probability=DenseVector([0.0223, 0.0984, 0.0227, 0.0105, 0.0242, 0.0067, 0.0684, 0.001, 0.0081, 0.6195, 0.0088, 0.0735, 0.036, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 23.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 23.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 23.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 23.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 24.0, 39.0]), label=9.0, probability=DenseVector([0.0223, 0.0984, 0.0227, 0.0105, 0.0242, 0.0067, 0.0684, 0.001, 0.0081, 0.6195, 0.0088, 0.0735, 0.036, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 24.0, 41.0]), label=12.0, probability=DenseVector([0.0206, 0.0901, 0.0627, 0.0143, 0.023, 0.0037, 0.054, 0.0011, 0.0066, 0.6017, 0.008, 0.0788, 0.0354, 0.0002]))
Row(prediction=9.0, features=DenseVector([42.0, 24.0, 42.0]), label=9.0, probability=DenseVector([0.0126, 0.0736, 0.1559, 0.0251, 0.018, 0.0198, 0.0304, 0.0004, 0.0048, 0.5499, 0.0041, 0.0725, 0.0324, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 46.0]), label=9.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 47.0]), label=12.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 47.0]), label=9.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 26.0, 42.0]), label=9.0, probability=DenseVector([0.0126, 0.0736, 0.1559, 0.0251, 0.018, 0.0198, 0.0304, 0.0004, 0.0048, 0.5499, 0.0041, 0.0725, 0.0324, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 26.0, 43.0]), label=9.0, probability=DenseVector([0.0126, 0.074, 0.1827, 0.0251, 0.0184, 0.0201, 0.0281, 0.0005, 0.0046, 0.5224, 0.0044, 0.0758, 0.0309, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 53.0]), label=9.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 28.0, 36.0]), label=6.0, probability=DenseVector([0.0149, 0.0918, 0.0112, 0.0046, 0.0139, 0.0027, 0.0603, 0.0017, 0.0029, 0.7017, 0.0039, 0.0458, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 28.0, 40.0]), label=9.0, probability=DenseVector([0.0223, 0.0984, 0.0227, 0.0105, 0.0242, 0.0067, 0.0684, 0.001, 0.0081, 0.6195, 0.0088, 0.0735, 0.036, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 28.0, 41.0]), label=9.0, probability=DenseVector([0.0206, 0.0901, 0.0627, 0.0143, 0.023, 0.0037, 0.054, 0.0011, 0.0066, 0.6017, 0.008, 0.0788, 0.0354, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 29.0, 28.0]), label=9.0, probability=DenseVector([0.0131, 0.0938, 0.0107, 0.0042, 0.0125, 0.0023, 0.0531, 0.0017, 0.0024, 0.7129, 0.0029, 0.0454, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 29.0, 44.0]), label=9.0, probability=DenseVector([0.0106, 0.0746, 0.2616, 0.0273, 0.0169, 0.021, 0.0228, 0.0004, 0.0035, 0.4451, 0.0036, 0.0856, 0.0264, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 52.0]), label=11.0, probability=DenseVector([0.0253, 0.1239, 0.5159, 0.0143, 0.0255, 0.0179, 0.0005, 0.0048, 0.0077, 0.0955, 0.0164, 0.1386, 0.0137, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 53.0]), label=9.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 53.0]), label=2.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 30.0, 43.0]), label=9.0, probability=DenseVector([0.0317, 0.0538, 0.13, 0.0826, 0.0302, 0.0543, 0.0463, 0.001, 0.0081, 0.4197, 0.0086, 0.1083, 0.0225, 0.003]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 52.0]), label=0.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=9.0, features=DenseVector([42.0, 31.0, 38.0]), label=6.0, probability=DenseVector([0.023, 0.0932, 0.0159, 0.0057, 0.022, 0.0043, 0.0769, 0.0012, 0.0051, 0.6332, 0.0097, 0.0719, 0.0379, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 31.0, 42.0]), label=11.0, probability=DenseVector([0.0317, 0.0534, 0.1032, 0.0826, 0.0298, 0.054, 0.0486, 0.0009, 0.0083, 0.4472, 0.0083, 0.105, 0.024, 0.003]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0301, 0.0703, 0.348, 0.0837, 0.025, 0.0842, 0.0172, 0.0016, 0.006, 0.1787, 0.0118, 0.1272, 0.0135, 0.0028]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 52.0]), label=11.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 52.0]), label=11.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 52.0]), label=11.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 52.0]), label=11.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 50.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 50.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.029, 0.0972, 0.5605, 0.0192, 0.0274, 0.0226, 0.0006, 0.009, 0.012, 0.0626, 0.019, 0.1329, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 52.0]), label=11.0, probability=DenseVector([0.029, 0.0972, 0.5605, 0.0192, 0.0274, 0.0226, 0.0006, 0.009, 0.012, 0.0626, 0.019, 0.1329, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.029, 0.0972, 0.5605, 0.0192, 0.0274, 0.0226, 0.0006, 0.009, 0.012, 0.0626, 0.019, 0.1329, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 53.0]), label=0.0, probability=DenseVector([0.0389, 0.1232, 0.4212, 0.0248, 0.046, 0.0248, 0.0029, 0.0079, 0.0148, 0.1505, 0.0254, 0.1044, 0.0151, 0.0002]))
Row(prediction=9.0, features=DenseVector([42.0, 33.0, 43.0]), label=0.0, probability=DenseVector([0.0317, 0.0538, 0.13, 0.0826, 0.0302, 0.0543, 0.0463, 0.001, 0.0081, 0.4197, 0.0086, 0.1083, 0.0225, 0.003]))
Row(prediction=9.0, features=DenseVector([42.0, 33.0, 44.0]), label=6.0, probability=DenseVector([0.0298, 0.0503, 0.1406, 0.0849, 0.0285, 0.0543, 0.0421, 0.0008, 0.0078, 0.3757, 0.0078, 0.1533, 0.0212, 0.003]))
Row(prediction=9.0, features=DenseVector([42.0, 33.0, 46.0]), label=9.0, probability=DenseVector([0.0282, 0.0509, 0.2113, 0.1036, 0.0246, 0.0864, 0.0227, 0.0009, 0.0072, 0.2589, 0.0076, 0.1753, 0.0188, 0.0034]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 50.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 52.0]), label=0.0, probability=DenseVector([0.0342, 0.1002, 0.4867, 0.0304, 0.0324, 0.0886, 0.0007, 0.0098, 0.0103, 0.0512, 0.0242, 0.1187, 0.0097, 0.0028]))
Row(prediction=9.0, features=DenseVector([42.0, 34.0, 37.0]), label=6.0, probability=DenseVector([0.0289, 0.0772, 0.0138, 0.0071, 0.0262, 0.0035, 0.0772, 0.0013, 0.0053, 0.5907, 0.0112, 0.1313, 0.0263, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 34.0, 40.0]), label=11.0, probability=DenseVector([0.0296, 0.0726, 0.0174, 0.0124, 0.0294, 0.0035, 0.0774, 0.0012, 0.0062, 0.5773, 0.0113, 0.1368, 0.025, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=11.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=11.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=0.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=9.0, features=DenseVector([42.0, 35.0, 39.0]), label=6.0, probability=DenseVector([0.0296, 0.0726, 0.0174, 0.0124, 0.0294, 0.0035, 0.0774, 0.0012, 0.0062, 0.5773, 0.0113, 0.1368, 0.025, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 35.0, 40.0]), label=0.0, probability=DenseVector([0.0296, 0.0726, 0.0174, 0.0124, 0.0294, 0.0035, 0.0774, 0.0012, 0.0062, 0.5773, 0.0113, 0.1368, 0.025, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=9.0, features=DenseVector([42.0, 36.0, 28.0]), label=9.0, probability=DenseVector([0.0183, 0.0924, 0.0105, 0.0044, 0.013, 0.0024, 0.0532, 0.0027, 0.0026, 0.7119, 0.0038, 0.0489, 0.0359, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 36.0, 42.0]), label=0.0, probability=DenseVector([0.0276, 0.0517, 0.1063, 0.0863, 0.0306, 0.0534, 0.053, 0.0009, 0.0075, 0.4412, 0.0086, 0.1069, 0.0229, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 47.0]), label=11.0, probability=DenseVector([0.0256, 0.0676, 0.3582, 0.0907, 0.0242, 0.0948, 0.0158, 0.0017, 0.0051, 0.1597, 0.0118, 0.1295, 0.0121, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 57.0]), label=11.0, probability=DenseVector([0.0438, 0.1132, 0.3786, 0.035, 0.0528, 0.0703, 0.0031, 0.0097, 0.0169, 0.1256, 0.0299, 0.0986, 0.0207, 0.0019]))
Row(prediction=9.0, features=DenseVector([42.0, 37.0, 28.0]), label=9.0, probability=DenseVector([0.0183, 0.0924, 0.0105, 0.0044, 0.013, 0.0024, 0.0532, 0.0027, 0.0026, 0.7119, 0.0038, 0.0489, 0.0359, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 37.0, 42.0]), label=9.0, probability=DenseVector([0.0276, 0.0517, 0.1063, 0.0863, 0.0306, 0.0534, 0.053, 0.0009, 0.0075, 0.4412, 0.0086, 0.1069, 0.0229, 0.0032]))
Row(prediction=9.0, features=DenseVector([42.0, 37.0, 43.0]), label=0.0, probability=DenseVector([0.0276, 0.0521, 0.133, 0.0863, 0.031, 0.0537, 0.0507, 0.001, 0.0073, 0.4137, 0.0089, 0.1102, 0.0214, 0.0032]))
Row(prediction=9.0, features=DenseVector([42.0, 37.0, 45.0]), label=9.0, probability=DenseVector([0.0263, 0.0485, 0.2119, 0.1062, 0.0282, 0.0613, 0.0369, 0.0008, 0.0065, 0.3054, 0.0087, 0.1374, 0.018, 0.0038]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 50.0]), label=5.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=9.0, features=DenseVector([42.0, 38.0, 29.0]), label=6.0, probability=DenseVector([0.0183, 0.0924, 0.0105, 0.0044, 0.013, 0.0024, 0.0532, 0.0027, 0.0026, 0.7119, 0.0038, 0.0489, 0.0359, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.0202, 0.0905, 0.011, 0.0048, 0.0144, 0.0028, 0.0604, 0.0027, 0.003, 0.7008, 0.0048, 0.0492, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 38.0, 37.0]), label=9.0, probability=DenseVector([0.0289, 0.0772, 0.0138, 0.0071, 0.0262, 0.0035, 0.0772, 0.0013, 0.0053, 0.5907, 0.0112, 0.1313, 0.0263, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 38.0, 44.0]), label=0.0, probability=DenseVector([0.0274, 0.0408, 0.1507, 0.1179, 0.0318, 0.0616, 0.0527, 0.0009, 0.0086, 0.3605, 0.0085, 0.1159, 0.0189, 0.0038]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 49.0]), label=5.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0351, 0.0808, 0.3798, 0.07, 0.0338, 0.1734, 0.0032, 0.0097, 0.014, 0.0846, 0.0294, 0.0711, 0.0118, 0.0033]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 52.0]), label=6.0, probability=DenseVector([0.0351, 0.0808, 0.3798, 0.07, 0.0338, 0.1734, 0.0032, 0.0097, 0.014, 0.0846, 0.0294, 0.0711, 0.0118, 0.0033]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 58.0]), label=12.0, probability=DenseVector([0.0365, 0.0889, 0.3242, 0.072, 0.0435, 0.1481, 0.0047, 0.009, 0.02, 0.1369, 0.0294, 0.0651, 0.0197, 0.002]))
Row(prediction=9.0, features=DenseVector([42.0, 39.0, 31.0]), label=6.0, probability=DenseVector([0.0264, 0.0884, 0.0103, 0.005, 0.0164, 0.0021, 0.068, 0.0026, 0.0028, 0.6874, 0.0076, 0.049, 0.0341, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.0359, 0.0705, 0.0167, 0.0126, 0.0313, 0.0028, 0.0851, 0.001, 0.006, 0.5639, 0.0141, 0.1365, 0.0237, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 39.0, 44.0]), label=6.0, probability=DenseVector([0.024, 0.0379, 0.1528, 0.1233, 0.0311, 0.067, 0.0554, 0.001, 0.0081, 0.35, 0.0077, 0.1193, 0.0183, 0.004]))
Row(prediction=9.0, features=DenseVector([42.0, 39.0, 45.0]), label=11.0, probability=DenseVector([0.0236, 0.0384, 0.2137, 0.1324, 0.029, 0.0727, 0.0442, 0.0009, 0.0075, 0.279, 0.0079, 0.1302, 0.0163, 0.0043]))
Row(prediction=9.0, features=DenseVector([42.0, 39.0, 45.0]), label=11.0, probability=DenseVector([0.0236, 0.0384, 0.2137, 0.1324, 0.029, 0.0727, 0.0442, 0.0009, 0.0075, 0.279, 0.0079, 0.1302, 0.0163, 0.0043]))
Row(prediction=9.0, features=DenseVector([42.0, 39.0, 46.0]), label=9.0, probability=DenseVector([0.0223, 0.0371, 0.2297, 0.1453, 0.0255, 0.11, 0.0309, 0.0012, 0.0074, 0.2365, 0.0072, 0.1261, 0.0161, 0.0047]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 48.0]), label=9.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 50.0]), label=5.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 53.0]), label=9.0, probability=DenseVector([0.0353, 0.0871, 0.3342, 0.0694, 0.0389, 0.1726, 0.0042, 0.0095, 0.0165, 0.1208, 0.0305, 0.062, 0.0157, 0.0033]))
Row(prediction=9.0, features=DenseVector([42.0, 40.0, 42.0]), label=6.0, probability=DenseVector([0.0309, 0.0419, 0.1201, 0.1168, 0.0371, 0.0465, 0.0651, 0.0011, 0.0091, 0.4181, 0.0128, 0.0742, 0.0207, 0.0056]))
Row(prediction=9.0, features=DenseVector([42.0, 40.0, 44.0]), label=11.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=9.0, features=DenseVector([42.0, 40.0, 45.0]), label=11.0, probability=DenseVector([0.0294, 0.0351, 0.216, 0.1434, 0.0348, 0.0565, 0.0498, 0.0009, 0.0087, 0.2881, 0.0125, 0.1025, 0.016, 0.0063]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 46.0]), label=9.0, probability=DenseVector([0.0235, 0.0367, 0.2405, 0.172, 0.0243, 0.1063, 0.0307, 0.0067, 0.015, 0.2207, 0.006, 0.092, 0.0156, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 47.0]), label=0.0, probability=DenseVector([0.0212, 0.0423, 0.2897, 0.1862, 0.0216, 0.137, 0.0209, 0.0086, 0.0163, 0.1586, 0.0069, 0.069, 0.0123, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 48.0]), label=5.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 48.0]), label=9.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 50.0]), label=5.0, probability=DenseVector([0.0145, 0.0505, 0.3577, 0.1985, 0.017, 0.1433, 0.0054, 0.0115, 0.0199, 0.0876, 0.009, 0.0684, 0.0096, 0.0071]))
Row(prediction=9.0, features=DenseVector([42.0, 41.0, 39.0]), label=6.0, probability=DenseVector([0.0359, 0.0705, 0.0167, 0.0126, 0.0313, 0.0028, 0.0851, 0.001, 0.006, 0.5639, 0.0141, 0.1365, 0.0237, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 41.0, 41.0]), label=6.0, probability=DenseVector([0.0365, 0.0654, 0.0454, 0.036, 0.0376, 0.0087, 0.0776, 0.0012, 0.0074, 0.5147, 0.0164, 0.1267, 0.0251, 0.0014]))
Row(prediction=9.0, features=DenseVector([42.0, 41.0, 42.0]), label=6.0, probability=DenseVector([0.0309, 0.0419, 0.1201, 0.1168, 0.0371, 0.0465, 0.0651, 0.0011, 0.0091, 0.4181, 0.0128, 0.0742, 0.0207, 0.0056]))
Row(prediction=9.0, features=DenseVector([42.0, 41.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=9.0, features=DenseVector([42.0, 41.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 47.0]), label=9.0, probability=DenseVector([0.0211, 0.0373, 0.2745, 0.2054, 0.0218, 0.1405, 0.0212, 0.0089, 0.0173, 0.1631, 0.0068, 0.0606, 0.0121, 0.0093]))
Row(prediction=9.0, features=DenseVector([42.0, 42.0, 45.0]), label=9.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 46.0]), label=5.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 46.0]), label=0.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=9.0, features=DenseVector([42.0, 43.0, 37.0]), label=9.0, probability=DenseVector([0.0491, 0.0841, 0.0188, 0.0162, 0.0332, 0.0019, 0.1691, 0.0012, 0.0076, 0.5462, 0.0173, 0.0371, 0.0179, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 43.0, 39.0]), label=6.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 43.0, 39.0]), label=0.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 43.0, 40.0]), label=9.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 43.0, 40.0]), label=6.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 43.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 46.0]), label=5.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 48.0]), label=5.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 49.0]), label=5.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 57.0]), label=12.0, probability=DenseVector([0.0243, 0.0666, 0.2381, 0.2052, 0.0382, 0.0816, 0.0118, 0.0107, 0.0378, 0.1934, 0.0155, 0.0488, 0.0256, 0.0025]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 62.0]), label=9.0, probability=DenseVector([0.0243, 0.0666, 0.2381, 0.2052, 0.0382, 0.0816, 0.0118, 0.0107, 0.0378, 0.1934, 0.0155, 0.0488, 0.0256, 0.0025]))
Row(prediction=9.0, features=DenseVector([42.0, 44.0, 35.0]), label=6.0, probability=DenseVector([0.043, 0.1144, 0.0123, 0.0133, 0.0207, 0.0008, 0.2135, 0.0012, 0.0052, 0.5174, 0.0097, 0.0309, 0.0173, 0.0004]))
Row(prediction=9.0, features=DenseVector([42.0, 44.0, 41.0]), label=9.0, probability=DenseVector([0.0482, 0.0719, 0.0508, 0.0448, 0.0424, 0.0078, 0.1496, 0.0013, 0.0092, 0.4776, 0.0198, 0.0569, 0.0179, 0.0018]))
Row(prediction=9.0, features=DenseVector([42.0, 44.0, 43.0]), label=9.0, probability=DenseVector([0.0307, 0.0395, 0.1372, 0.1258, 0.0377, 0.0487, 0.0711, 0.001, 0.0097, 0.3896, 0.0122, 0.0732, 0.0183, 0.0056]))
Row(prediction=9.0, features=DenseVector([42.0, 44.0, 43.0]), label=9.0, probability=DenseVector([0.0307, 0.0395, 0.1372, 0.1258, 0.0377, 0.0487, 0.0711, 0.001, 0.0097, 0.3896, 0.0122, 0.0732, 0.0183, 0.0056]))
Row(prediction=9.0, features=DenseVector([42.0, 44.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=9.0, features=DenseVector([42.0, 44.0, 44.0]), label=0.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 46.0]), label=5.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 46.0]), label=9.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 47.0]), label=5.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 48.0]), label=0.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=9.0, features=DenseVector([42.0, 45.0, 42.0]), label=9.0, probability=DenseVector([0.032, 0.0399, 0.1183, 0.1282, 0.0376, 0.0462, 0.0945, 0.0009, 0.0096, 0.3869, 0.013, 0.0688, 0.0181, 0.0058]))
Row(prediction=9.0, features=DenseVector([42.0, 45.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=9.0, features=DenseVector([42.0, 45.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=9.0, features=DenseVector([42.0, 45.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 46.0]), label=9.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 46.0]), label=9.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 47.0]), label=5.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 31.0]), label=9.0, probability=DenseVector([0.046, 0.1083, 0.0124, 0.0136, 0.0216, 0.0008, 0.2479, 0.002, 0.0059, 0.4844, 0.0098, 0.029, 0.0179, 0.0004]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 40.0]), label=6.0, probability=DenseVector([0.0473, 0.0754, 0.0213, 0.0222, 0.0345, 0.0013, 0.1781, 0.0008, 0.0084, 0.5326, 0.0149, 0.0473, 0.0155, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 41.0]), label=6.0, probability=DenseVector([0.0411, 0.0666, 0.0436, 0.0516, 0.0369, 0.0067, 0.1689, 0.0008, 0.0083, 0.4863, 0.0148, 0.0573, 0.016, 0.0009]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 42.0]), label=6.0, probability=DenseVector([0.0238, 0.0399, 0.0945, 0.133, 0.0311, 0.0434, 0.1155, 0.0007, 0.0088, 0.4216, 0.0069, 0.0584, 0.0183, 0.004]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 44.0]), label=11.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 46.0]), label=11.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 46.0]), label=6.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 40.0]), label=6.0, probability=DenseVector([0.0466, 0.0617, 0.0237, 0.0264, 0.0305, 0.0011, 0.2426, 0.0029, 0.0157, 0.4789, 0.0111, 0.0406, 0.0178, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 42.0]), label=9.0, probability=DenseVector([0.0238, 0.0399, 0.0945, 0.133, 0.0311, 0.0434, 0.1155, 0.0007, 0.0088, 0.4216, 0.0069, 0.0584, 0.0183, 0.004]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 42.0]), label=9.0, probability=DenseVector([0.0238, 0.0399, 0.0945, 0.133, 0.0311, 0.0434, 0.1155, 0.0007, 0.0088, 0.4216, 0.0069, 0.0584, 0.0183, 0.004]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 43.0]), label=9.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 43.0]), label=9.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 43.0]), label=9.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 44.0]), label=9.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 44.0]), label=9.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 45.0]), label=9.0, probability=DenseVector([0.0211, 0.0301, 0.177, 0.1673, 0.0284, 0.0573, 0.0712, 0.001, 0.0089, 0.3272, 0.0063, 0.0838, 0.016, 0.0044]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 45.0]), label=11.0, probability=DenseVector([0.0211, 0.0301, 0.177, 0.1673, 0.0284, 0.0573, 0.0712, 0.001, 0.0089, 0.3272, 0.0063, 0.0838, 0.016, 0.0044]))
Row(prediction=6.0, features=DenseVector([42.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.0445, 0.0838, 0.0146, 0.0213, 0.0175, 0.0001, 0.5292, 0.0088, 0.0186, 0.2211, 0.0031, 0.0191, 0.0181, 0.0003]))
Row(prediction=6.0, features=DenseVector([42.0, 48.0, 36.0]), label=6.0, probability=DenseVector([0.0443, 0.0609, 0.0187, 0.025, 0.0179, 0.0001, 0.4829, 0.0078, 0.0239, 0.2717, 0.0043, 0.0242, 0.018, 0.0003]))
Row(prediction=6.0, features=DenseVector([42.0, 48.0, 38.0]), label=9.0, probability=DenseVector([0.0418, 0.0567, 0.0218, 0.0258, 0.0219, 0.0001, 0.3839, 0.0061, 0.0234, 0.3614, 0.0044, 0.032, 0.0204, 0.0003]))
Row(prediction=6.0, features=DenseVector([42.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0418, 0.0567, 0.0218, 0.0258, 0.0219, 0.0001, 0.3839, 0.0061, 0.0234, 0.3614, 0.0044, 0.032, 0.0204, 0.0003]))
Row(prediction=6.0, features=DenseVector([42.0, 48.0, 39.0]), label=9.0, probability=DenseVector([0.0426, 0.0521, 0.0253, 0.0311, 0.025, 0.0, 0.3841, 0.006, 0.0243, 0.348, 0.0045, 0.0375, 0.0191, 0.0003]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 40.0]), label=9.0, probability=DenseVector([0.0384, 0.0517, 0.0237, 0.029, 0.0249, 0.0, 0.3647, 0.0055, 0.0215, 0.3791, 0.0037, 0.0395, 0.0181, 0.0003]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 40.0]), label=9.0, probability=DenseVector([0.0384, 0.0517, 0.0237, 0.029, 0.0249, 0.0, 0.3647, 0.0055, 0.0215, 0.3791, 0.0037, 0.0395, 0.0181, 0.0003]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 42.0]), label=9.0, probability=DenseVector([0.0238, 0.0399, 0.0945, 0.133, 0.0311, 0.0434, 0.1155, 0.0007, 0.0088, 0.4216, 0.0069, 0.0584, 0.0183, 0.004]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 44.0]), label=9.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 46.0]), label=9.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 46.0]), label=9.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 47.0]), label=6.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 49.0, 47.0]), label=6.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=6.0, features=DenseVector([42.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0443, 0.0794, 0.0146, 0.0212, 0.0176, 0.0001, 0.5667, 0.0088, 0.0187, 0.1877, 0.0031, 0.0174, 0.0201, 0.0003]))
Row(prediction=6.0, features=DenseVector([42.0, 50.0, 33.0]), label=9.0, probability=DenseVector([0.0443, 0.0794, 0.0146, 0.0212, 0.0176, 0.0001, 0.5667, 0.0088, 0.0187, 0.1877, 0.0031, 0.0174, 0.0201, 0.0003]))
Row(prediction=9.0, features=DenseVector([42.0, 50.0, 41.0]), label=11.0, probability=DenseVector([0.0324, 0.0455, 0.0448, 0.0573, 0.0271, 0.0059, 0.3302, 0.0046, 0.0202, 0.3608, 0.0047, 0.0462, 0.0195, 0.0008]))
Row(prediction=9.0, features=DenseVector([42.0, 50.0, 41.0]), label=6.0, probability=DenseVector([0.0324, 0.0455, 0.0448, 0.0573, 0.0271, 0.0059, 0.3302, 0.0046, 0.0202, 0.3608, 0.0047, 0.0462, 0.0195, 0.0008]))
Row(prediction=9.0, features=DenseVector([42.0, 50.0, 43.0]), label=11.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([42.0, 50.0, 45.0]), label=6.0, probability=DenseVector([0.0211, 0.0301, 0.177, 0.1673, 0.0284, 0.0573, 0.0712, 0.001, 0.0089, 0.3272, 0.0063, 0.0838, 0.016, 0.0044]))
Row(prediction=9.0, features=DenseVector([42.0, 50.0, 48.0]), label=9.0, probability=DenseVector([0.0089, 0.0435, 0.2354, 0.2145, 0.0222, 0.0844, 0.0473, 0.0061, 0.0165, 0.2453, 0.0065, 0.053, 0.015, 0.0015]))
Row(prediction=6.0, features=DenseVector([42.0, 51.0, 31.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 51.0, 35.0]), label=0.0, probability=DenseVector([0.0513, 0.0448, 0.0147, 0.0238, 0.0185, 0.0, 0.6709, 0.0108, 0.0285, 0.0948, 0.0031, 0.0107, 0.028, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 51.0, 35.0]), label=9.0, probability=DenseVector([0.0513, 0.0448, 0.0147, 0.0238, 0.0185, 0.0, 0.6709, 0.0108, 0.0285, 0.0948, 0.0031, 0.0107, 0.028, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0461, 0.0385, 0.0199, 0.028, 0.0207, 0.0, 0.5842, 0.0089, 0.0341, 0.1706, 0.0041, 0.0183, 0.0265, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 51.0, 37.0]), label=6.0, probability=DenseVector([0.0461, 0.0385, 0.0199, 0.028, 0.0207, 0.0, 0.5842, 0.0089, 0.0341, 0.1706, 0.0041, 0.0183, 0.0265, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0461, 0.0385, 0.0199, 0.028, 0.0207, 0.0, 0.5842, 0.0089, 0.0341, 0.1706, 0.0041, 0.0183, 0.0265, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 51.0, 39.0]), label=6.0, probability=DenseVector([0.0461, 0.0385, 0.0199, 0.028, 0.0207, 0.0, 0.5842, 0.0089, 0.0341, 0.1706, 0.0041, 0.0183, 0.0265, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 51.0, 47.0]), label=9.0, probability=DenseVector([0.0137, 0.0308, 0.1181, 0.1811, 0.0303, 0.1181, 0.0904, 0.0026, 0.0137, 0.3361, 0.0078, 0.0324, 0.019, 0.0059]))
Row(prediction=6.0, features=DenseVector([42.0, 52.0, 39.0]), label=6.0, probability=DenseVector([0.0461, 0.0385, 0.0199, 0.028, 0.0207, 0.0, 0.5842, 0.0089, 0.0341, 0.1706, 0.0041, 0.0183, 0.0265, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 52.0, 43.0]), label=9.0, probability=DenseVector([0.0176, 0.0346, 0.0929, 0.137, 0.0342, 0.0435, 0.1385, 0.0007, 0.0116, 0.4084, 0.0077, 0.0473, 0.0199, 0.0061]))
Row(prediction=6.0, features=DenseVector([42.0, 53.0, 29.0]), label=9.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 53.0, 41.0]), label=9.0, probability=DenseVector([0.0269, 0.0358, 0.0461, 0.0733, 0.0304, 0.006, 0.4151, 0.0051, 0.0256, 0.2767, 0.0041, 0.0342, 0.0162, 0.0045]))
Row(prediction=9.0, features=DenseVector([42.0, 53.0, 49.0]), label=6.0, probability=DenseVector([0.0065, 0.0379, 0.1254, 0.2035, 0.0309, 0.0771, 0.0795, 0.0057, 0.0201, 0.3581, 0.0072, 0.0229, 0.0214, 0.0038]))
Row(prediction=9.0, features=DenseVector([42.0, 53.0, 49.0]), label=9.0, probability=DenseVector([0.0065, 0.0379, 0.1254, 0.2035, 0.0309, 0.0771, 0.0795, 0.0057, 0.0201, 0.3581, 0.0072, 0.0229, 0.0214, 0.0038]))
Row(prediction=6.0, features=DenseVector([42.0, 54.0, 17.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 54.0, 40.0]), label=6.0, probability=DenseVector([0.0325, 0.0377, 0.0274, 0.0477, 0.0262, 0.0001, 0.487, 0.0069, 0.0315, 0.2576, 0.0032, 0.0242, 0.0141, 0.004]))
Row(prediction=9.0, features=DenseVector([42.0, 54.0, 58.0]), label=9.0, probability=DenseVector([0.0153, 0.0516, 0.0873, 0.1396, 0.0483, 0.0438, 0.0678, 0.0064, 0.03, 0.4392, 0.0141, 0.0184, 0.035, 0.0032]))
Row(prediction=9.0, features=DenseVector([42.0, 54.0, 58.0]), label=9.0, probability=DenseVector([0.0153, 0.0516, 0.0873, 0.1396, 0.0483, 0.0438, 0.0678, 0.0064, 0.03, 0.4392, 0.0141, 0.0184, 0.035, 0.0032]))
Row(prediction=6.0, features=DenseVector([42.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 55.0, 34.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 55.0, 42.0]), label=11.0, probability=DenseVector([0.0182, 0.0336, 0.0951, 0.1434, 0.0329, 0.0435, 0.1402, 0.0007, 0.0124, 0.4004, 0.0068, 0.047, 0.0182, 0.0077]))
Row(prediction=6.0, features=DenseVector([42.0, 57.0, 13.0]), label=6.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 57.0, 44.0]), label=6.0, probability=DenseVector([0.0176, 0.0285, 0.0983, 0.134, 0.034, 0.0454, 0.1357, 0.0008, 0.0115, 0.4153, 0.0066, 0.0507, 0.0168, 0.0048]))
Row(prediction=9.0, features=DenseVector([42.0, 57.0, 44.0]), label=9.0, probability=DenseVector([0.0176, 0.0285, 0.0983, 0.134, 0.034, 0.0454, 0.1357, 0.0008, 0.0115, 0.4153, 0.0066, 0.0507, 0.0168, 0.0048]))
Row(prediction=9.0, features=DenseVector([42.0, 57.0, 47.0]), label=6.0, probability=DenseVector([0.0133, 0.0255, 0.1155, 0.1759, 0.0301, 0.1181, 0.0968, 0.0026, 0.0135, 0.352, 0.0068, 0.0295, 0.016, 0.0042]))
Row(prediction=6.0, features=DenseVector([42.0, 58.0, 33.0]), label=6.0, probability=DenseVector([0.0332, 0.0248, 0.0074, 0.013, 0.012, 0.0, 0.8351, 0.0076, 0.0173, 0.0353, 0.0023, 0.0032, 0.0087, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 58.0, 54.0]), label=9.0, probability=DenseVector([0.0157, 0.0483, 0.0852, 0.1293, 0.0484, 0.0442, 0.0664, 0.0069, 0.0311, 0.4578, 0.0136, 0.0166, 0.0354, 0.0011]))
Row(prediction=6.0, features=DenseVector([42.0, 59.0, 24.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 59.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 59.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 59.0, 44.0]), label=6.0, probability=DenseVector([0.0176, 0.0306, 0.0923, 0.1261, 0.0247, 0.0453, 0.2289, 0.0008, 0.0072, 0.3526, 0.0058, 0.0467, 0.0175, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 59.0, 50.0]), label=9.0, probability=DenseVector([0.0061, 0.0383, 0.1199, 0.1944, 0.0258, 0.0769, 0.1093, 0.0061, 0.0162, 0.3576, 0.0061, 0.02, 0.0219, 0.0015]))
Row(prediction=6.0, features=DenseVector([42.0, 60.0, 24.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 60.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 60.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 61.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 61.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 61.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 61.0, 41.0]), label=6.0, probability=DenseVector([0.0249, 0.0242, 0.0332, 0.0407, 0.0193, 0.0058, 0.6014, 0.0052, 0.0194, 0.1865, 0.0033, 0.0227, 0.0127, 0.0007]))
Row(prediction=6.0, features=DenseVector([42.0, 62.0, 21.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 62.0, 22.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 62.0, 38.0]), label=9.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0182, 0.0143, 0.0, 0.769, 0.0059, 0.0229, 0.0743, 0.0033, 0.0075, 0.0174, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 62.0, 43.0]), label=6.0, probability=DenseVector([0.0163, 0.0246, 0.0824, 0.1147, 0.0229, 0.0434, 0.2848, 0.0007, 0.0064, 0.3416, 0.0053, 0.0379, 0.0153, 0.0037]))
Row(prediction=9.0, features=DenseVector([42.0, 62.0, 43.0]), label=6.0, probability=DenseVector([0.0163, 0.0246, 0.0824, 0.1147, 0.0229, 0.0434, 0.2848, 0.0007, 0.0064, 0.3416, 0.0053, 0.0379, 0.0153, 0.0037]))
Row(prediction=9.0, features=DenseVector([42.0, 62.0, 56.0]), label=9.0, probability=DenseVector([0.0149, 0.052, 0.0818, 0.1305, 0.0432, 0.0435, 0.0977, 0.0067, 0.0261, 0.4387, 0.013, 0.0155, 0.0355, 0.0009]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 11.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 11.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 37.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0182, 0.0143, 0.0, 0.769, 0.0059, 0.0229, 0.0743, 0.0033, 0.0075, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0182, 0.0143, 0.0, 0.769, 0.0059, 0.0229, 0.0743, 0.0033, 0.0075, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0182, 0.0143, 0.0, 0.769, 0.0059, 0.0229, 0.0743, 0.0033, 0.0075, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0182, 0.0143, 0.0, 0.769, 0.0059, 0.0229, 0.0743, 0.0033, 0.0075, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([42.0, 63.0, 39.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0182, 0.0143, 0.0, 0.769, 0.0059, 0.0229, 0.0743, 0.0033, 0.0075, 0.0174, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 63.0, 42.0]), label=9.0, probability=DenseVector([0.0169, 0.0233, 0.0824, 0.1149, 0.0228, 0.0434, 0.3121, 0.0008, 0.0066, 0.3166, 0.0053, 0.0379, 0.0133, 0.0037]))
Row(prediction=9.0, features=DenseVector([42.0, 63.0, 45.0]), label=6.0, probability=DenseVector([0.0171, 0.0308, 0.0945, 0.1303, 0.0253, 0.0476, 0.2055, 0.0007, 0.0087, 0.3494, 0.0057, 0.0592, 0.0209, 0.0044]))
Row(prediction=2.0, features=DenseVector([43.0, 0.0, 46.0]), label=9.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=9.0, features=DenseVector([43.0, 1.0, 31.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 3.0, 45.0]), label=9.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 10.0, 39.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 11.0, 32.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 11.0, 41.0]), label=9.0, probability=DenseVector([0.0185, 0.0906, 0.0765, 0.0088, 0.0194, 0.0037, 0.047, 0.0011, 0.0056, 0.5748, 0.0079, 0.1107, 0.0353, 0.0002]))
Row(prediction=9.0, features=DenseVector([43.0, 12.0, 36.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 15.0, 35.0]), label=2.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 15.0, 37.0]), label=2.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 16.0, 29.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 16.0, 40.0]), label=2.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 16.0, 42.0]), label=2.0, probability=DenseVector([0.0097, 0.074, 0.1817, 0.019, 0.0134, 0.02, 0.023, 0.0004, 0.0036, 0.5295, 0.0038, 0.0887, 0.0327, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 16.0, 43.0]), label=9.0, probability=DenseVector([0.0097, 0.0745, 0.2084, 0.019, 0.0138, 0.0203, 0.0206, 0.0005, 0.0034, 0.5019, 0.0042, 0.092, 0.0312, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 17.0, 39.0]), label=2.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 17.0, 41.0]), label=2.0, probability=DenseVector([0.0185, 0.0906, 0.0765, 0.0088, 0.0194, 0.0037, 0.047, 0.0011, 0.0056, 0.5748, 0.0079, 0.1107, 0.0353, 0.0002]))
Row(prediction=9.0, features=DenseVector([43.0, 17.0, 41.0]), label=2.0, probability=DenseVector([0.0185, 0.0906, 0.0765, 0.0088, 0.0194, 0.0037, 0.047, 0.0011, 0.0056, 0.5748, 0.0079, 0.1107, 0.0353, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 17.0, 46.0]), label=9.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=9.0, features=DenseVector([43.0, 17.0, 58.0]), label=11.0, probability=DenseVector([0.0096, 0.0793, 0.1829, 0.006, 0.0177, 0.0074, 0.0016, 0.0013, 0.0039, 0.6133, 0.0067, 0.0379, 0.0324, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 18.0, 42.0]), label=2.0, probability=DenseVector([0.0097, 0.074, 0.1817, 0.019, 0.0134, 0.02, 0.023, 0.0004, 0.0036, 0.5295, 0.0038, 0.0887, 0.0327, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 18.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 18.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 28.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 41.0]), label=2.0, probability=DenseVector([0.0185, 0.0906, 0.0765, 0.0088, 0.0194, 0.0037, 0.047, 0.0011, 0.0056, 0.5748, 0.0079, 0.1107, 0.0353, 0.0002]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 41.0]), label=9.0, probability=DenseVector([0.0185, 0.0906, 0.0765, 0.0088, 0.0194, 0.0037, 0.047, 0.0011, 0.0056, 0.5748, 0.0079, 0.1107, 0.0353, 0.0002]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 43.0]), label=2.0, probability=DenseVector([0.0097, 0.0745, 0.2084, 0.019, 0.0138, 0.0203, 0.0206, 0.0005, 0.0034, 0.5019, 0.0042, 0.092, 0.0312, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 43.0]), label=2.0, probability=DenseVector([0.0097, 0.0745, 0.2084, 0.019, 0.0138, 0.0203, 0.0206, 0.0005, 0.0034, 0.5019, 0.0042, 0.092, 0.0312, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 44.0]), label=2.0, probability=DenseVector([0.0077, 0.0718, 0.2981, 0.0211, 0.0117, 0.021, 0.0153, 0.0004, 0.0023, 0.4202, 0.0034, 0.0992, 0.0272, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 44.0]), label=2.0, probability=DenseVector([0.0077, 0.0718, 0.2981, 0.0211, 0.0117, 0.021, 0.0153, 0.0004, 0.0023, 0.4202, 0.0034, 0.0992, 0.0272, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 19.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 19.0, 46.0]), label=2.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 19.0, 46.0]), label=2.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 50.0]), label=12.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 20.0, 29.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 20.0, 37.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 20.0, 38.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 20.0, 41.0]), label=9.0, probability=DenseVector([0.0185, 0.0906, 0.0765, 0.0088, 0.0194, 0.0037, 0.047, 0.0011, 0.0056, 0.5748, 0.0079, 0.1107, 0.0353, 0.0002]))
Row(prediction=9.0, features=DenseVector([43.0, 20.0, 42.0]), label=2.0, probability=DenseVector([0.0097, 0.074, 0.1817, 0.019, 0.0134, 0.02, 0.023, 0.0004, 0.0036, 0.5295, 0.0038, 0.0887, 0.0327, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 20.0, 45.0]), label=9.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 20.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 20.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 20.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 20.0, 46.0]), label=2.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 20.0, 46.0]), label=2.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 20.0, 46.0]), label=2.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 20.0, 46.0]), label=2.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=9.0, features=DenseVector([43.0, 21.0, 38.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 45.0]), label=9.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 46.0]), label=2.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 46.0]), label=2.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 47.0]), label=2.0, probability=DenseVector([0.0066, 0.0873, 0.3996, 0.02, 0.0095, 0.0347, 0.0018, 0.0004, 0.0016, 0.3511, 0.004, 0.0557, 0.027, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 47.0]), label=2.0, probability=DenseVector([0.0066, 0.0873, 0.3996, 0.02, 0.0095, 0.0347, 0.0018, 0.0004, 0.0016, 0.3511, 0.004, 0.0557, 0.027, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 47.0]), label=2.0, probability=DenseVector([0.0066, 0.0873, 0.3996, 0.02, 0.0095, 0.0347, 0.0018, 0.0004, 0.0016, 0.3511, 0.004, 0.0557, 0.027, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 47.0]), label=2.0, probability=DenseVector([0.0066, 0.0873, 0.3996, 0.02, 0.0095, 0.0347, 0.0018, 0.0004, 0.0016, 0.3511, 0.004, 0.0557, 0.027, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 22.0, 29.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 22.0, 29.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 22.0, 41.0]), label=9.0, probability=DenseVector([0.0206, 0.0901, 0.0627, 0.0143, 0.023, 0.0037, 0.054, 0.0011, 0.0066, 0.6017, 0.008, 0.0788, 0.0354, 0.0002]))
Row(prediction=9.0, features=DenseVector([43.0, 22.0, 42.0]), label=9.0, probability=DenseVector([0.0126, 0.0736, 0.1559, 0.0251, 0.018, 0.0198, 0.0304, 0.0004, 0.0048, 0.5499, 0.0041, 0.0725, 0.0324, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 22.0, 45.0]), label=2.0, probability=DenseVector([0.0093, 0.0784, 0.3514, 0.0302, 0.0136, 0.0249, 0.0101, 0.0003, 0.0027, 0.3689, 0.0037, 0.0824, 0.0236, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 22.0, 45.0]), label=2.0, probability=DenseVector([0.0093, 0.0784, 0.3514, 0.0302, 0.0136, 0.0249, 0.0101, 0.0003, 0.0027, 0.3689, 0.0037, 0.0824, 0.0236, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 22.0, 46.0]), label=9.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 22.0, 46.0]), label=2.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 22.0, 46.0]), label=2.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 22.0, 46.0]), label=2.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 22.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 22.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 22.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 23.0, 45.0]), label=2.0, probability=DenseVector([0.0093, 0.0784, 0.3514, 0.0302, 0.0136, 0.0249, 0.0101, 0.0003, 0.0027, 0.3689, 0.0037, 0.0824, 0.0236, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 46.0]), label=9.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 24.0, 39.0]), label=9.0, probability=DenseVector([0.0223, 0.0984, 0.0227, 0.0105, 0.0242, 0.0067, 0.0684, 0.001, 0.0081, 0.6195, 0.0088, 0.0735, 0.036, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 24.0, 41.0]), label=9.0, probability=DenseVector([0.0206, 0.0901, 0.0627, 0.0143, 0.023, 0.0037, 0.054, 0.0011, 0.0066, 0.6017, 0.008, 0.0788, 0.0354, 0.0002]))
Row(prediction=9.0, features=DenseVector([43.0, 24.0, 42.0]), label=9.0, probability=DenseVector([0.0126, 0.0736, 0.1559, 0.0251, 0.018, 0.0198, 0.0304, 0.0004, 0.0048, 0.5499, 0.0041, 0.0725, 0.0324, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 46.0]), label=2.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 25.0, 40.0]), label=9.0, probability=DenseVector([0.0223, 0.0984, 0.0227, 0.0105, 0.0242, 0.0067, 0.0684, 0.001, 0.0081, 0.6195, 0.0088, 0.0735, 0.036, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 47.0]), label=9.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 53.0]), label=9.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 47.0]), label=9.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 53.0]), label=11.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 27.0, 40.0]), label=9.0, probability=DenseVector([0.0223, 0.0984, 0.0227, 0.0105, 0.0242, 0.0067, 0.0684, 0.001, 0.0081, 0.6195, 0.0088, 0.0735, 0.036, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 28.0, 39.0]), label=9.0, probability=DenseVector([0.0223, 0.0984, 0.0227, 0.0105, 0.0242, 0.0067, 0.0684, 0.001, 0.0081, 0.6195, 0.0088, 0.0735, 0.036, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 28.0, 42.0]), label=9.0, probability=DenseVector([0.0126, 0.0736, 0.1559, 0.0251, 0.018, 0.0198, 0.0304, 0.0004, 0.0048, 0.5499, 0.0041, 0.0725, 0.0324, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 57.0]), label=9.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 29.0, 41.0]), label=9.0, probability=DenseVector([0.0206, 0.0901, 0.0627, 0.0143, 0.023, 0.0037, 0.054, 0.0011, 0.0066, 0.6017, 0.008, 0.0788, 0.0354, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 30.0, 45.0]), label=11.0, probability=DenseVector([0.0294, 0.0507, 0.2014, 0.094, 0.0264, 0.06, 0.0309, 0.0008, 0.0072, 0.3047, 0.008, 0.1641, 0.0192, 0.0033]))
Row(prediction=9.0, features=DenseVector([43.0, 30.0, 45.0]), label=9.0, probability=DenseVector([0.0294, 0.0507, 0.2014, 0.094, 0.0264, 0.06, 0.0309, 0.0008, 0.0072, 0.3047, 0.008, 0.1641, 0.0192, 0.0033]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 47.0]), label=9.0, probability=DenseVector([0.0301, 0.0703, 0.348, 0.0837, 0.025, 0.0842, 0.0172, 0.0016, 0.006, 0.1787, 0.0118, 0.1272, 0.0135, 0.0028]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 52.0]), label=11.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 32.0, 37.0]), label=9.0, probability=DenseVector([0.0289, 0.0772, 0.0138, 0.0071, 0.0262, 0.0035, 0.0772, 0.0013, 0.0053, 0.5907, 0.0112, 0.1313, 0.0263, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 32.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0503, 0.1406, 0.0849, 0.0285, 0.0543, 0.0421, 0.0008, 0.0078, 0.3757, 0.0078, 0.1533, 0.0212, 0.003]))
Row(prediction=9.0, features=DenseVector([43.0, 32.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0503, 0.1406, 0.0849, 0.0285, 0.0543, 0.0421, 0.0008, 0.0078, 0.3757, 0.0078, 0.1533, 0.0212, 0.003]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 47.0]), label=0.0, probability=DenseVector([0.0301, 0.0703, 0.348, 0.0837, 0.025, 0.0842, 0.0172, 0.0016, 0.006, 0.1787, 0.0118, 0.1272, 0.0135, 0.0028]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 48.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 53.0]), label=11.0, probability=DenseVector([0.0389, 0.1232, 0.4212, 0.0248, 0.046, 0.0248, 0.0029, 0.0079, 0.0148, 0.1505, 0.0254, 0.1044, 0.0151, 0.0002]))
Row(prediction=9.0, features=DenseVector([43.0, 33.0, 39.0]), label=9.0, probability=DenseVector([0.0296, 0.0726, 0.0174, 0.0124, 0.0294, 0.0035, 0.0774, 0.0012, 0.0062, 0.5773, 0.0113, 0.1368, 0.025, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 33.0, 45.0]), label=9.0, probability=DenseVector([0.0294, 0.0507, 0.2014, 0.094, 0.0264, 0.06, 0.0309, 0.0008, 0.0072, 0.3047, 0.008, 0.1641, 0.0192, 0.0033]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0304, 0.0502, 0.2088, 0.1026, 0.0274, 0.0619, 0.0325, 0.0008, 0.0073, 0.3114, 0.0085, 0.1355, 0.0191, 0.0037]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 51.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 51.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 55.0]), label=1.0, probability=DenseVector([0.0438, 0.1132, 0.3786, 0.035, 0.0528, 0.0703, 0.0031, 0.0097, 0.0169, 0.1256, 0.0299, 0.0986, 0.0207, 0.0019]))
Row(prediction=9.0, features=DenseVector([43.0, 36.0, 27.0]), label=9.0, probability=DenseVector([0.0183, 0.0924, 0.0105, 0.0044, 0.013, 0.0024, 0.0532, 0.0027, 0.0026, 0.7119, 0.0038, 0.0489, 0.0359, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 36.0, 37.0]), label=9.0, probability=DenseVector([0.0289, 0.0772, 0.0138, 0.0071, 0.0262, 0.0035, 0.0772, 0.0013, 0.0053, 0.5907, 0.0112, 0.1313, 0.0263, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 36.0, 40.0]), label=9.0, probability=DenseVector([0.0296, 0.0726, 0.0174, 0.0124, 0.0294, 0.0035, 0.0774, 0.0012, 0.0062, 0.5773, 0.0113, 0.1368, 0.025, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 36.0, 40.0]), label=9.0, probability=DenseVector([0.0296, 0.0726, 0.0174, 0.0124, 0.0294, 0.0035, 0.0774, 0.0012, 0.0062, 0.5773, 0.0113, 0.1368, 0.025, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 51.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 37.0, 38.0]), label=9.0, probability=DenseVector([0.0289, 0.0772, 0.0138, 0.0071, 0.0262, 0.0035, 0.0772, 0.0013, 0.0053, 0.5907, 0.0112, 0.1313, 0.0263, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 48.0]), label=9.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 51.0]), label=9.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=9.0, features=DenseVector([43.0, 38.0, 42.0]), label=9.0, probability=DenseVector([0.0285, 0.048, 0.1157, 0.1004, 0.032, 0.0573, 0.0569, 0.001, 0.0085, 0.4195, 0.0089, 0.0984, 0.0216, 0.0034]))
Row(prediction=9.0, features=DenseVector([43.0, 38.0, 44.0]), label=9.0, probability=DenseVector([0.0274, 0.0408, 0.1507, 0.1179, 0.0318, 0.0616, 0.0527, 0.0009, 0.0086, 0.3605, 0.0085, 0.1159, 0.0189, 0.0038]))
Row(prediction=9.0, features=DenseVector([43.0, 38.0, 45.0]), label=11.0, probability=DenseVector([0.027, 0.0412, 0.2116, 0.127, 0.0297, 0.0673, 0.0416, 0.0008, 0.008, 0.2895, 0.0086, 0.1267, 0.0169, 0.0041]))
Row(prediction=9.0, features=DenseVector([43.0, 38.0, 46.0]), label=9.0, probability=DenseVector([0.0257, 0.0399, 0.2277, 0.14, 0.0262, 0.1046, 0.0282, 0.0011, 0.0079, 0.2469, 0.0079, 0.1226, 0.0166, 0.0045]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.0359, 0.0705, 0.0167, 0.0126, 0.0313, 0.0028, 0.0851, 0.001, 0.006, 0.5639, 0.0141, 0.1365, 0.0237, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 39.0, 41.0]), label=9.0, probability=DenseVector([0.0333, 0.0653, 0.0436, 0.0301, 0.034, 0.0082, 0.0742, 0.0011, 0.0063, 0.5077, 0.0131, 0.1578, 0.0246, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 47.0]), label=11.0, probability=DenseVector([0.0216, 0.046, 0.2913, 0.1311, 0.0238, 0.1597, 0.0201, 0.0019, 0.0076, 0.1662, 0.0109, 0.1038, 0.0123, 0.0036]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 47.0]), label=0.0, probability=DenseVector([0.0216, 0.046, 0.2913, 0.1311, 0.0238, 0.1597, 0.0201, 0.0019, 0.0076, 0.1662, 0.0109, 0.1038, 0.0123, 0.0036]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 49.0]), label=11.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 53.0]), label=0.0, probability=DenseVector([0.0353, 0.0871, 0.3342, 0.0694, 0.0389, 0.1726, 0.0042, 0.0095, 0.0165, 0.1208, 0.0305, 0.062, 0.0157, 0.0033]))
Row(prediction=9.0, features=DenseVector([43.0, 40.0, 35.0]), label=9.0, probability=DenseVector([0.0264, 0.0884, 0.0103, 0.005, 0.0164, 0.0021, 0.068, 0.0026, 0.0028, 0.6874, 0.0076, 0.049, 0.0341, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 40.0, 44.0]), label=11.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=9.0, features=DenseVector([43.0, 40.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0145, 0.0505, 0.3577, 0.1985, 0.017, 0.1433, 0.0054, 0.0115, 0.0199, 0.0876, 0.009, 0.0684, 0.0096, 0.0071]))
Row(prediction=9.0, features=DenseVector([43.0, 41.0, 38.0]), label=9.0, probability=DenseVector([0.0351, 0.0751, 0.0131, 0.0074, 0.0282, 0.0028, 0.0849, 0.0011, 0.005, 0.5773, 0.014, 0.131, 0.0249, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 41.0, 40.0]), label=9.0, probability=DenseVector([0.0359, 0.0705, 0.0167, 0.0126, 0.0313, 0.0028, 0.0851, 0.001, 0.006, 0.5639, 0.0141, 0.1365, 0.0237, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([43.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=9.0, features=DenseVector([43.0, 42.0, 38.0]), label=9.0, probability=DenseVector([0.0389, 0.0734, 0.0137, 0.0082, 0.0297, 0.0026, 0.0947, 0.0012, 0.0053, 0.5661, 0.0157, 0.1272, 0.0231, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 42.0, 43.0]), label=6.0, probability=DenseVector([0.0307, 0.0388, 0.1371, 0.1234, 0.0376, 0.0488, 0.0635, 0.0011, 0.0095, 0.3963, 0.0127, 0.0754, 0.0195, 0.0056]))
Row(prediction=9.0, features=DenseVector([43.0, 42.0, 43.0]), label=0.0, probability=DenseVector([0.0307, 0.0388, 0.1371, 0.1234, 0.0376, 0.0488, 0.0635, 0.0011, 0.0095, 0.3963, 0.0127, 0.0754, 0.0195, 0.0056]))
Row(prediction=9.0, features=DenseVector([43.0, 43.0, 37.0]), label=6.0, probability=DenseVector([0.0491, 0.0841, 0.0188, 0.0162, 0.0332, 0.0019, 0.1691, 0.0012, 0.0076, 0.5462, 0.0173, 0.0371, 0.0179, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 43.0, 38.0]), label=9.0, probability=DenseVector([0.0491, 0.0841, 0.0188, 0.0162, 0.0332, 0.0019, 0.1691, 0.0012, 0.0076, 0.5462, 0.0173, 0.0371, 0.0179, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 43.0, 41.0]), label=6.0, probability=DenseVector([0.0482, 0.0719, 0.0508, 0.0448, 0.0424, 0.0078, 0.1496, 0.0013, 0.0092, 0.4776, 0.0198, 0.0569, 0.0179, 0.0018]))
Row(prediction=9.0, features=DenseVector([43.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.0307, 0.0395, 0.1372, 0.1258, 0.0377, 0.0487, 0.0711, 0.001, 0.0097, 0.3896, 0.0122, 0.0732, 0.0183, 0.0056]))
Row(prediction=9.0, features=DenseVector([43.0, 43.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=2.0, features=DenseVector([43.0, 43.0, 47.0]), label=9.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 39.0]), label=11.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 40.0]), label=9.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 40.0]), label=0.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 43.0]), label=6.0, probability=DenseVector([0.0307, 0.0395, 0.1372, 0.1258, 0.0377, 0.0487, 0.0711, 0.001, 0.0097, 0.3896, 0.0122, 0.0732, 0.0183, 0.0056]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 45.0]), label=11.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=2.0, features=DenseVector([43.0, 44.0, 46.0]), label=11.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([43.0, 44.0, 46.0]), label=11.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([43.0, 44.0, 47.0]), label=9.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([43.0, 44.0, 49.0]), label=9.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=9.0, features=DenseVector([43.0, 45.0, 35.0]), label=6.0, probability=DenseVector([0.043, 0.1144, 0.0123, 0.0133, 0.0207, 0.0008, 0.2135, 0.0012, 0.0052, 0.5174, 0.0097, 0.0309, 0.0173, 0.0004]))
Row(prediction=9.0, features=DenseVector([43.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.0477, 0.0708, 0.0483, 0.0509, 0.0419, 0.0078, 0.1583, 0.0012, 0.009, 0.4675, 0.0201, 0.0574, 0.0173, 0.0018]))
Row(prediction=9.0, features=DenseVector([43.0, 45.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=9.0, features=DenseVector([43.0, 45.0, 45.0]), label=6.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=2.0, features=DenseVector([43.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 37.0]), label=9.0, probability=DenseVector([0.0507, 0.0804, 0.0194, 0.019, 0.0315, 0.0013, 0.1972, 0.0014, 0.0104, 0.5149, 0.0157, 0.0398, 0.0178, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 38.0]), label=6.0, probability=DenseVector([0.0507, 0.0804, 0.0194, 0.019, 0.0315, 0.0013, 0.1972, 0.0014, 0.0104, 0.5149, 0.0157, 0.0398, 0.0178, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 41.0]), label=11.0, probability=DenseVector([0.0411, 0.0666, 0.0436, 0.0516, 0.0369, 0.0067, 0.1689, 0.0008, 0.0083, 0.4863, 0.0148, 0.0573, 0.016, 0.0009]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 44.0]), label=6.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 45.0]), label=9.0, probability=DenseVector([0.0211, 0.0301, 0.177, 0.1673, 0.0284, 0.0573, 0.0712, 0.001, 0.0089, 0.3272, 0.0063, 0.0838, 0.016, 0.0044]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 47.0]), label=11.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=2.0, features=DenseVector([43.0, 46.0, 48.0]), label=9.0, probability=DenseVector([0.0081, 0.0398, 0.2556, 0.2496, 0.0186, 0.1005, 0.0395, 0.0074, 0.016, 0.1922, 0.0057, 0.0529, 0.012, 0.0021]))
Row(prediction=2.0, features=DenseVector([43.0, 46.0, 49.0]), label=9.0, probability=DenseVector([0.0081, 0.0398, 0.2556, 0.2496, 0.0186, 0.1005, 0.0395, 0.0074, 0.016, 0.1922, 0.0057, 0.0529, 0.012, 0.0021]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 55.0]), label=9.0, probability=DenseVector([0.0212, 0.0664, 0.2051, 0.2147, 0.0355, 0.0803, 0.0241, 0.0148, 0.0381, 0.2154, 0.0135, 0.0429, 0.0248, 0.0031]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 33.0]), label=9.0, probability=DenseVector([0.0427, 0.1036, 0.0136, 0.0154, 0.0188, 0.0007, 0.3315, 0.0028, 0.0099, 0.4075, 0.0085, 0.0265, 0.0182, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 40.0]), label=9.0, probability=DenseVector([0.0466, 0.0617, 0.0237, 0.0264, 0.0305, 0.0011, 0.2426, 0.0029, 0.0157, 0.4789, 0.0111, 0.0406, 0.0178, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 40.0]), label=9.0, probability=DenseVector([0.0466, 0.0617, 0.0237, 0.0264, 0.0305, 0.0011, 0.2426, 0.0029, 0.0157, 0.4789, 0.0111, 0.0406, 0.0178, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 40.0]), label=0.0, probability=DenseVector([0.0466, 0.0617, 0.0237, 0.0264, 0.0305, 0.0011, 0.2426, 0.0029, 0.0157, 0.4789, 0.0111, 0.0406, 0.0178, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 47.0]), label=9.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=6.0, features=DenseVector([43.0, 48.0, 39.0]), label=9.0, probability=DenseVector([0.0426, 0.0521, 0.0253, 0.0311, 0.025, 0.0, 0.3841, 0.006, 0.0243, 0.348, 0.0045, 0.0375, 0.0191, 0.0003]))
Row(prediction=6.0, features=DenseVector([43.0, 48.0, 39.0]), label=9.0, probability=DenseVector([0.0426, 0.0521, 0.0253, 0.0311, 0.025, 0.0, 0.3841, 0.006, 0.0243, 0.348, 0.0045, 0.0375, 0.0191, 0.0003]))
Row(prediction=6.0, features=DenseVector([43.0, 48.0, 39.0]), label=9.0, probability=DenseVector([0.0426, 0.0521, 0.0253, 0.0311, 0.025, 0.0, 0.3841, 0.006, 0.0243, 0.348, 0.0045, 0.0375, 0.0191, 0.0003]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 40.0]), label=9.0, probability=DenseVector([0.0384, 0.0517, 0.0237, 0.029, 0.0249, 0.0, 0.3647, 0.0055, 0.0215, 0.3791, 0.0037, 0.0395, 0.0181, 0.0003]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 40.0]), label=9.0, probability=DenseVector([0.0384, 0.0517, 0.0237, 0.029, 0.0249, 0.0, 0.3647, 0.0055, 0.0215, 0.3791, 0.0037, 0.0395, 0.0181, 0.0003]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 42.0]), label=11.0, probability=DenseVector([0.0238, 0.0399, 0.0945, 0.133, 0.0311, 0.0434, 0.1155, 0.0007, 0.0088, 0.4216, 0.0069, 0.0584, 0.0183, 0.004]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 43.0]), label=9.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 45.0]), label=11.0, probability=DenseVector([0.0211, 0.0301, 0.177, 0.1673, 0.0284, 0.0573, 0.0712, 0.001, 0.0089, 0.3272, 0.0063, 0.0838, 0.016, 0.0044]))
Row(prediction=6.0, features=DenseVector([43.0, 49.0, 33.0]), label=11.0, probability=DenseVector([0.0449, 0.0826, 0.0146, 0.0213, 0.0178, 0.0001, 0.5453, 0.0088, 0.0186, 0.2038, 0.0031, 0.0189, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([43.0, 49.0, 35.0]), label=9.0, probability=DenseVector([0.0454, 0.0592, 0.0172, 0.0231, 0.0178, 0.0001, 0.536, 0.0088, 0.0219, 0.2265, 0.0036, 0.0205, 0.0195, 0.0003]))
Row(prediction=6.0, features=DenseVector([43.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.0446, 0.0597, 0.0187, 0.025, 0.0182, 0.0001, 0.499, 0.0078, 0.0239, 0.2545, 0.0043, 0.024, 0.0199, 0.0003]))
Row(prediction=6.0, features=DenseVector([43.0, 49.0, 36.0]), label=6.0, probability=DenseVector([0.0446, 0.0597, 0.0187, 0.025, 0.0182, 0.0001, 0.499, 0.0078, 0.0239, 0.2545, 0.0043, 0.024, 0.0199, 0.0003]))
Row(prediction=6.0, features=DenseVector([43.0, 49.0, 40.0]), label=9.0, probability=DenseVector([0.0391, 0.0488, 0.0268, 0.0314, 0.0237, 0.0, 0.3909, 0.0063, 0.0261, 0.3477, 0.0039, 0.0375, 0.0174, 0.0003]))
Row(prediction=9.0, features=DenseVector([43.0, 49.0, 63.0]), label=9.0, probability=DenseVector([0.0212, 0.0703, 0.1747, 0.162, 0.0471, 0.0598, 0.0303, 0.0096, 0.0375, 0.2903, 0.0169, 0.0441, 0.0343, 0.0018]))
Row(prediction=6.0, features=DenseVector([43.0, 50.0, 29.0]), label=6.0, probability=DenseVector([0.0416, 0.1175, 0.0132, 0.018, 0.016, 0.0, 0.5581, 0.0088, 0.018, 0.1712, 0.0021, 0.016, 0.0194, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 50.0, 37.0]), label=0.0, probability=DenseVector([0.0414, 0.0524, 0.0242, 0.0285, 0.0199, 0.0001, 0.4212, 0.0069, 0.0281, 0.3241, 0.0046, 0.0287, 0.0196, 0.0003]))
Row(prediction=6.0, features=DenseVector([43.0, 50.0, 40.0]), label=9.0, probability=DenseVector([0.038, 0.0473, 0.0261, 0.0317, 0.0229, 0.0, 0.402, 0.0063, 0.0261, 0.3418, 0.0039, 0.0362, 0.0174, 0.0003]))
Row(prediction=9.0, features=DenseVector([43.0, 50.0, 43.0]), label=9.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([43.0, 50.0, 44.0]), label=9.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([43.0, 50.0, 48.0]), label=5.0, probability=DenseVector([0.0089, 0.0435, 0.2354, 0.2145, 0.0222, 0.0844, 0.0473, 0.0061, 0.0165, 0.2453, 0.0065, 0.053, 0.015, 0.0015]))
Row(prediction=9.0, features=DenseVector([43.0, 51.0, 45.0]), label=6.0, probability=DenseVector([0.0178, 0.0329, 0.1031, 0.1415, 0.034, 0.0477, 0.1267, 0.0007, 0.0118, 0.384, 0.0076, 0.0661, 0.0193, 0.0067]))
Row(prediction=9.0, features=DenseVector([43.0, 51.0, 51.0]), label=9.0, probability=DenseVector([0.0065, 0.0363, 0.1246, 0.1997, 0.0307, 0.077, 0.0872, 0.0057, 0.0196, 0.3555, 0.0078, 0.024, 0.0222, 0.0033]))
Row(prediction=9.0, features=DenseVector([43.0, 53.0, 42.0]), label=8.0, probability=DenseVector([0.0182, 0.0336, 0.0951, 0.1434, 0.0329, 0.0435, 0.1402, 0.0007, 0.0124, 0.4004, 0.0068, 0.047, 0.0182, 0.0077]))
Row(prediction=6.0, features=DenseVector([43.0, 55.0, 28.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 56.0, 21.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 56.0, 45.0]), label=6.0, probability=DenseVector([0.0182, 0.0299, 0.1031, 0.1448, 0.0308, 0.0477, 0.132, 0.0007, 0.0112, 0.3877, 0.006, 0.0643, 0.0167, 0.0067]))
Row(prediction=6.0, features=DenseVector([43.0, 57.0, 35.0]), label=6.0, probability=DenseVector([0.0356, 0.0272, 0.011, 0.016, 0.0128, 0.0, 0.8003, 0.0079, 0.0212, 0.0441, 0.0029, 0.0046, 0.0164, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 57.0, 47.0]), label=9.0, probability=DenseVector([0.0133, 0.0255, 0.1155, 0.1759, 0.0301, 0.1181, 0.0968, 0.0026, 0.0135, 0.352, 0.0068, 0.0295, 0.016, 0.0042]))
Row(prediction=9.0, features=DenseVector([43.0, 57.0, 62.0]), label=9.0, probability=DenseVector([0.0157, 0.0553, 0.0829, 0.1288, 0.0475, 0.0442, 0.0605, 0.0069, 0.0297, 0.4297, 0.0136, 0.0166, 0.0673, 0.0011]))
Row(prediction=6.0, features=DenseVector([43.0, 58.0, 27.0]), label=11.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 58.0, 28.0]), label=6.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 59.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 59.0, 42.0]), label=6.0, probability=DenseVector([0.0169, 0.0233, 0.0824, 0.1149, 0.0228, 0.0434, 0.3121, 0.0008, 0.0066, 0.3166, 0.0053, 0.0379, 0.0133, 0.0037]))
Row(prediction=6.0, features=DenseVector([43.0, 60.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 60.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 60.0, 61.0]), label=9.0, probability=DenseVector([0.0149, 0.052, 0.0818, 0.1305, 0.0432, 0.0435, 0.0977, 0.0067, 0.0261, 0.4387, 0.013, 0.0155, 0.0355, 0.0009]))
Row(prediction=6.0, features=DenseVector([43.0, 61.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 62.0, 27.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 62.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 62.0, 38.0]), label=9.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0182, 0.0143, 0.0, 0.769, 0.0059, 0.0229, 0.0743, 0.0033, 0.0075, 0.0174, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 62.0, 43.0]), label=6.0, probability=DenseVector([0.0163, 0.0246, 0.0824, 0.1147, 0.0229, 0.0434, 0.2848, 0.0007, 0.0064, 0.3416, 0.0053, 0.0379, 0.0153, 0.0037]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 7.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 8.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 9.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 11.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 13.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 15.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 16.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0182, 0.0143, 0.0, 0.769, 0.0059, 0.0229, 0.0743, 0.0033, 0.0075, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0182, 0.0143, 0.0, 0.769, 0.0059, 0.0229, 0.0743, 0.0033, 0.0075, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([43.0, 63.0, 39.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0182, 0.0143, 0.0, 0.769, 0.0059, 0.0229, 0.0743, 0.0033, 0.0075, 0.0174, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 63.0, 43.0]), label=6.0, probability=DenseVector([0.0163, 0.0246, 0.0824, 0.1147, 0.0229, 0.0434, 0.2848, 0.0007, 0.0064, 0.3416, 0.0053, 0.0379, 0.0153, 0.0037]))
Row(prediction=9.0, features=DenseVector([43.0, 63.0, 48.0]), label=9.0, probability=DenseVector([0.0061, 0.0383, 0.1199, 0.1944, 0.0258, 0.0769, 0.1093, 0.0061, 0.0162, 0.3576, 0.0061, 0.02, 0.0219, 0.0015]))
Row(prediction=9.0, features=DenseVector([44.0, 0.0, 26.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 0.0, 26.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 1.0, 30.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 5.0, 32.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 6.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 8.0, 18.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 10.0, 20.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 13.0, 32.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 13.0, 37.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 14.0, 39.0]), label=12.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 14.0, 41.0]), label=9.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 15.0, 56.0]), label=9.0, probability=DenseVector([0.0047, 0.0805, 0.1657, 0.0037, 0.0153, 0.0066, 0.0026, 0.0005, 0.0037, 0.6434, 0.0035, 0.0358, 0.034, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 16.0, 22.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 16.0, 33.0]), label=12.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 16.0, 36.0]), label=2.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 16.0, 38.0]), label=2.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 16.0, 40.0]), label=2.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 16.0, 47.0]), label=12.0, probability=DenseVector([0.0036, 0.0856, 0.4044, 0.0026, 0.0078, 0.0041, 0.0006, 0.0002, 0.0007, 0.3398, 0.0022, 0.1238, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 17.0, 34.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 17.0, 35.0]), label=12.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 17.0, 36.0]), label=2.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 17.0, 38.0]), label=12.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 17.0, 39.0]), label=2.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 17.0, 39.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 17.0, 40.0]), label=2.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 17.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 39.0]), label=2.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 40.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 42.0]), label=9.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 42.0]), label=2.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 42.0]), label=2.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 18.0, 45.0]), label=2.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 41.0]), label=9.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 42.0]), label=9.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 42.0]), label=2.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 42.0]), label=9.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 43.0]), label=2.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 43.0]), label=2.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 19.0, 45.0]), label=2.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 19.0, 45.0]), label=2.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 19.0, 46.0]), label=2.0, probability=DenseVector([0.0034, 0.0735, 0.3969, 0.0062, 0.0091, 0.0033, 0.0032, 0.0002, 0.0009, 0.3013, 0.0013, 0.18, 0.0207, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 19.0, 47.0]), label=12.0, probability=DenseVector([0.0036, 0.0856, 0.4044, 0.0026, 0.0078, 0.0041, 0.0006, 0.0002, 0.0007, 0.3398, 0.0022, 0.1238, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 20.0, 43.0]), label=2.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 20.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 20.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 20.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 20.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 20.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 20.0, 46.0]), label=2.0, probability=DenseVector([0.0034, 0.0735, 0.3969, 0.0062, 0.0091, 0.0033, 0.0032, 0.0002, 0.0009, 0.3013, 0.0013, 0.18, 0.0207, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 20.0, 46.0]), label=9.0, probability=DenseVector([0.0034, 0.0735, 0.3969, 0.0062, 0.0091, 0.0033, 0.0032, 0.0002, 0.0009, 0.3013, 0.0013, 0.18, 0.0207, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 20.0, 51.0]), label=11.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 21.0, 29.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 21.0, 30.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 21.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 21.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 21.0, 45.0]), label=2.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 21.0, 46.0]), label=2.0, probability=DenseVector([0.0034, 0.0735, 0.3969, 0.0062, 0.0091, 0.0033, 0.0032, 0.0002, 0.0009, 0.3013, 0.0013, 0.18, 0.0207, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 21.0, 46.0]), label=2.0, probability=DenseVector([0.0034, 0.0735, 0.3969, 0.0062, 0.0091, 0.0033, 0.0032, 0.0002, 0.0009, 0.3013, 0.0013, 0.18, 0.0207, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 21.0, 46.0]), label=2.0, probability=DenseVector([0.0034, 0.0735, 0.3969, 0.0062, 0.0091, 0.0033, 0.0032, 0.0002, 0.0009, 0.3013, 0.0013, 0.18, 0.0207, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 22.0, 42.0]), label=9.0, probability=DenseVector([0.0104, 0.072, 0.1582, 0.0177, 0.0166, 0.0008, 0.0288, 0.0003, 0.0038, 0.5422, 0.0021, 0.1162, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 22.0, 43.0]), label=9.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 22.0, 45.0]), label=2.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 22.0, 45.0]), label=2.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 22.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 22.0, 50.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 23.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 23.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 23.0, 45.0]), label=9.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 52.0]), label=11.0, probability=DenseVector([0.0204, 0.1251, 0.4986, 0.012, 0.0231, 0.0171, 0.0015, 0.004, 0.0075, 0.1257, 0.0132, 0.1366, 0.0153, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 24.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 47.0]), label=9.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 48.0]), label=12.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 25.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 46.0]), label=9.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 26.0, 35.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 27.0, 45.0]), label=9.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 47.0]), label=11.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 47.0]), label=9.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 28.0, 41.0]), label=9.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 28.0, 44.0]), label=9.0, probability=DenseVector([0.0084, 0.0731, 0.2639, 0.02, 0.0155, 0.002, 0.0211, 0.0002, 0.0026, 0.4374, 0.0017, 0.1293, 0.0247, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 52.0]), label=11.0, probability=DenseVector([0.0204, 0.1251, 0.4986, 0.012, 0.0231, 0.0171, 0.0015, 0.004, 0.0075, 0.1257, 0.0132, 0.1366, 0.0153, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 29.0, 39.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 29.0, 44.0]), label=9.0, probability=DenseVector([0.0084, 0.0731, 0.2639, 0.02, 0.0155, 0.002, 0.0211, 0.0002, 0.0026, 0.4374, 0.0017, 0.1293, 0.0247, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 30.0, 33.0]), label=9.0, probability=DenseVector([0.0126, 0.0856, 0.01, 0.0042, 0.0128, 0.0014, 0.0559, 0.0015, 0.0021, 0.705, 0.0029, 0.0572, 0.0487, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 54.0]), label=9.0, probability=DenseVector([0.0313, 0.1284, 0.4005, 0.0221, 0.0408, 0.0231, 0.0039, 0.0068, 0.0144, 0.1808, 0.0197, 0.1114, 0.0167, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 31.0, 37.0]), label=9.0, probability=DenseVector([0.0087, 0.0772, 0.0109, 0.0042, 0.0127, 0.0014, 0.0438, 0.0004, 0.0021, 0.5611, 0.0026, 0.2407, 0.0342, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 31.0, 40.0]), label=11.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=11.0, features=DenseVector([44.0, 31.0, 43.0]), label=9.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 32.0, 42.0]), label=9.0, probability=DenseVector([0.012, 0.0476, 0.1177, 0.0213, 0.0211, 0.0005, 0.0345, 0.0003, 0.0038, 0.3677, 0.0022, 0.3504, 0.0205, 0.0002]))
Row(prediction=11.0, features=DenseVector([44.0, 32.0, 43.0]), label=9.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 33.0, 41.0]), label=11.0, probability=DenseVector([0.0144, 0.0544, 0.0383, 0.0144, 0.0215, 0.0006, 0.034, 0.0004, 0.0036, 0.4469, 0.0035, 0.3455, 0.0221, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 34.0, 39.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=0.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 35.0, 40.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 48.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 49.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 50.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0377, 0.1126, 0.3712, 0.0301, 0.0458, 0.094, 0.0036, 0.0095, 0.0132, 0.1396, 0.0278, 0.0934, 0.0183, 0.0032]))
Row(prediction=9.0, features=DenseVector([44.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 36.0, 43.0]), label=9.0, probability=DenseVector([0.0132, 0.0479, 0.1424, 0.028, 0.0238, 0.0009, 0.0388, 0.0004, 0.0039, 0.3539, 0.0031, 0.3238, 0.0194, 0.0004]))
Row(prediction=11.0, features=DenseVector([44.0, 36.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0633, 0.3657, 0.0182, 0.0176, 0.0153, 0.0089, 0.001, 0.0018, 0.112, 0.0065, 0.3688, 0.0091, 0.0005]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 48.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 49.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 49.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 51.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 37.0, 37.0]), label=9.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 37.0, 42.0]), label=9.0, probability=DenseVector([0.0133, 0.0475, 0.1157, 0.028, 0.0234, 0.0006, 0.0412, 0.0003, 0.0041, 0.3814, 0.0027, 0.3205, 0.0209, 0.0004]))
Row(prediction=11.0, features=DenseVector([44.0, 37.0, 44.0]), label=9.0, probability=DenseVector([0.0123, 0.0438, 0.1604, 0.0389, 0.0231, 0.0029, 0.0363, 0.0003, 0.0037, 0.3166, 0.0028, 0.3401, 0.018, 0.0008]))
Row(prediction=11.0, features=DenseVector([44.0, 37.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0633, 0.3657, 0.0182, 0.0176, 0.0153, 0.0089, 0.001, 0.0018, 0.112, 0.0065, 0.3688, 0.0091, 0.0005]))
Row(prediction=2.0, features=DenseVector([44.0, 37.0, 48.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 37.0, 48.0]), label=1.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 37.0, 49.0]), label=11.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 37.0, 52.0]), label=9.0, probability=DenseVector([0.0289, 0.0984, 0.4669, 0.0279, 0.0299, 0.0946, 0.0017, 0.0094, 0.0097, 0.081, 0.0213, 0.1153, 0.0117, 0.0032]))
Row(prediction=9.0, features=DenseVector([44.0, 38.0, 32.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 38.0, 32.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 38.0, 38.0]), label=6.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 38.0, 42.0]), label=9.0, probability=DenseVector([0.0141, 0.0437, 0.1251, 0.0422, 0.0248, 0.0045, 0.045, 0.0004, 0.0051, 0.3597, 0.0031, 0.312, 0.0196, 0.0007]))
Row(prediction=9.0, features=DenseVector([44.0, 38.0, 43.0]), label=0.0, probability=DenseVector([0.0139, 0.0406, 0.1422, 0.0488, 0.0253, 0.0069, 0.0434, 0.0004, 0.0055, 0.338, 0.003, 0.3131, 0.0183, 0.0007]))
Row(prediction=11.0, features=DenseVector([44.0, 38.0, 46.0]), label=9.0, probability=DenseVector([0.0095, 0.0351, 0.2309, 0.0565, 0.0196, 0.0225, 0.0197, 0.0003, 0.004, 0.1877, 0.0022, 0.3974, 0.013, 0.0014]))
Row(prediction=11.0, features=DenseVector([44.0, 38.0, 47.0]), label=11.0, probability=DenseVector([0.0107, 0.0446, 0.2966, 0.0532, 0.0179, 0.0748, 0.0105, 0.0011, 0.0049, 0.129, 0.0064, 0.3397, 0.0098, 0.0007]))
Row(prediction=2.0, features=DenseVector([44.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([44.0, 38.0, 50.0]), label=9.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=9.0, features=DenseVector([44.0, 39.0, 42.0]), label=9.0, probability=DenseVector([0.015, 0.0433, 0.1345, 0.0515, 0.0286, 0.0101, 0.0557, 0.0005, 0.0056, 0.3802, 0.0034, 0.2498, 0.0208, 0.0008]))
Row(prediction=9.0, features=DenseVector([44.0, 39.0, 44.0]), label=9.0, probability=DenseVector([0.0139, 0.0361, 0.1696, 0.069, 0.0284, 0.0144, 0.0515, 0.0004, 0.0058, 0.3212, 0.003, 0.2673, 0.0181, 0.0012]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 47.0]), label=9.0, probability=DenseVector([0.0116, 0.0442, 0.306, 0.0626, 0.0217, 0.0804, 0.0211, 0.0012, 0.0054, 0.1495, 0.0067, 0.2776, 0.0111, 0.0008]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 48.0]), label=9.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 49.0]), label=11.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=9.0, features=DenseVector([44.0, 40.0, 41.0]), label=6.0, probability=DenseVector([0.0196, 0.0541, 0.0417, 0.0347, 0.0291, 0.0069, 0.0485, 0.0006, 0.0053, 0.4766, 0.0076, 0.2508, 0.0232, 0.0014]))
Row(prediction=11.0, features=DenseVector([44.0, 40.0, 45.0]), label=9.0, probability=DenseVector([0.0184, 0.0346, 0.2233, 0.0785, 0.0331, 0.0182, 0.0458, 0.0005, 0.0067, 0.2495, 0.0094, 0.2618, 0.0166, 0.0035]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=9.0, features=DenseVector([44.0, 41.0, 41.0]), label=9.0, probability=DenseVector([0.0196, 0.0541, 0.0417, 0.0347, 0.0291, 0.0069, 0.0485, 0.0006, 0.0053, 0.4766, 0.0076, 0.2508, 0.0232, 0.0014]))
Row(prediction=11.0, features=DenseVector([44.0, 41.0, 46.0]), label=11.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=2.0, features=DenseVector([44.0, 41.0, 47.0]), label=9.0, probability=DenseVector([0.0121, 0.0387, 0.2885, 0.1219, 0.0213, 0.0748, 0.0232, 0.008, 0.0158, 0.1539, 0.0041, 0.2181, 0.0131, 0.0066]))
Row(prediction=2.0, features=DenseVector([44.0, 41.0, 48.0]), label=0.0, probability=DenseVector([0.0131, 0.0528, 0.3221, 0.1785, 0.0227, 0.0881, 0.0173, 0.0113, 0.0226, 0.17, 0.006, 0.075, 0.014, 0.0066]))
Row(prediction=9.0, features=DenseVector([44.0, 42.0, 33.0]), label=6.0, probability=DenseVector([0.0208, 0.0832, 0.0104, 0.0055, 0.0135, 0.0012, 0.0629, 0.0029, 0.0026, 0.7019, 0.0045, 0.0526, 0.0381, 0.0001]))
Row(prediction=11.0, features=DenseVector([44.0, 42.0, 46.0]), label=9.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=11.0, features=DenseVector([44.0, 42.0, 46.0]), label=11.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=2.0, features=DenseVector([44.0, 42.0, 48.0]), label=9.0, probability=DenseVector([0.0131, 0.0528, 0.3221, 0.1785, 0.0227, 0.0881, 0.0173, 0.0113, 0.0226, 0.17, 0.006, 0.075, 0.014, 0.0066]))
Row(prediction=2.0, features=DenseVector([44.0, 42.0, 49.0]), label=0.0, probability=DenseVector([0.0131, 0.0528, 0.3221, 0.1785, 0.0227, 0.0881, 0.0173, 0.0113, 0.0226, 0.17, 0.006, 0.075, 0.014, 0.0066]))
Row(prediction=9.0, features=DenseVector([44.0, 43.0, 41.0]), label=9.0, probability=DenseVector([0.0345, 0.0553, 0.0463, 0.0427, 0.0346, 0.0066, 0.1274, 0.0006, 0.0072, 0.4992, 0.0119, 0.1151, 0.0168, 0.0018]))
Row(prediction=9.0, features=DenseVector([44.0, 43.0, 43.0]), label=11.0, probability=DenseVector([0.0217, 0.0394, 0.1527, 0.0728, 0.0362, 0.0135, 0.0679, 0.0006, 0.0081, 0.3636, 0.009, 0.1922, 0.0195, 0.0028]))
Row(prediction=11.0, features=DenseVector([44.0, 43.0, 46.0]), label=9.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=2.0, features=DenseVector([44.0, 43.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0384, 0.2656, 0.1298, 0.0209, 0.0767, 0.0259, 0.0079, 0.0163, 0.1678, 0.0038, 0.216, 0.0132, 0.0065]))
Row(prediction=2.0, features=DenseVector([44.0, 43.0, 49.0]), label=9.0, probability=DenseVector([0.0123, 0.0526, 0.2991, 0.1864, 0.0223, 0.09, 0.02, 0.0112, 0.0231, 0.1839, 0.0057, 0.0729, 0.0141, 0.0065]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 32.0]), label=9.0, probability=DenseVector([0.032, 0.1029, 0.0097, 0.0114, 0.015, 0.0002, 0.1852, 0.0014, 0.0039, 0.5715, 0.0047, 0.0372, 0.0243, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 34.0]), label=6.0, probability=DenseVector([0.032, 0.1029, 0.0097, 0.0114, 0.015, 0.0002, 0.1852, 0.0014, 0.0039, 0.5715, 0.0047, 0.0372, 0.0243, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 35.0]), label=9.0, probability=DenseVector([0.032, 0.1029, 0.0097, 0.0114, 0.015, 0.0002, 0.1852, 0.0014, 0.0039, 0.5715, 0.0047, 0.0372, 0.0243, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 37.0]), label=9.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 40.0]), label=9.0, probability=DenseVector([0.0331, 0.0589, 0.0172, 0.0194, 0.0253, 0.0002, 0.1445, 0.0004, 0.0062, 0.5466, 0.0081, 0.1241, 0.0154, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 42.0]), label=9.0, probability=DenseVector([0.0234, 0.0409, 0.1364, 0.0692, 0.0366, 0.0111, 0.0827, 0.0006, 0.0082, 0.371, 0.0096, 0.1874, 0.02, 0.0031]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 44.0]), label=9.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([44.0, 44.0, 45.0]), label=11.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=2.0, features=DenseVector([44.0, 44.0, 47.0]), label=11.0, probability=DenseVector([0.0114, 0.0384, 0.2656, 0.1298, 0.0209, 0.0767, 0.0259, 0.0079, 0.0163, 0.1678, 0.0038, 0.216, 0.0132, 0.0065]))
Row(prediction=9.0, features=DenseVector([44.0, 45.0, 36.0]), label=9.0, probability=DenseVector([0.032, 0.1029, 0.0097, 0.0114, 0.015, 0.0002, 0.1852, 0.0014, 0.0039, 0.5715, 0.0047, 0.0372, 0.0243, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 45.0, 37.0]), label=9.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 45.0, 38.0]), label=6.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 45.0, 38.0]), label=9.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 45.0, 44.0]), label=6.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([44.0, 45.0, 45.0]), label=11.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([44.0, 45.0, 46.0]), label=9.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=9.0, features=DenseVector([44.0, 46.0, 34.0]), label=6.0, probability=DenseVector([0.035, 0.0968, 0.0098, 0.0117, 0.016, 0.0002, 0.2196, 0.0022, 0.0046, 0.5385, 0.0048, 0.0354, 0.0249, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 46.0, 37.0]), label=11.0, probability=DenseVector([0.0367, 0.0615, 0.015, 0.0172, 0.0223, 0.0002, 0.177, 0.001, 0.0085, 0.5313, 0.0085, 0.1035, 0.0168, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 46.0, 37.0]), label=9.0, probability=DenseVector([0.0367, 0.0615, 0.015, 0.0172, 0.0223, 0.0002, 0.177, 0.001, 0.0085, 0.5313, 0.0085, 0.1035, 0.0168, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.0126, 0.0346, 0.1468, 0.0862, 0.0288, 0.0128, 0.0789, 0.0004, 0.0069, 0.3677, 0.0031, 0.2003, 0.0195, 0.0014]))
Row(prediction=11.0, features=DenseVector([44.0, 46.0, 46.0]), label=9.0, probability=DenseVector([0.0089, 0.0296, 0.2029, 0.0859, 0.0244, 0.0262, 0.0582, 0.0004, 0.0066, 0.2638, 0.0025, 0.2726, 0.0162, 0.0017]))
Row(prediction=9.0, features=DenseVector([44.0, 46.0, 55.0]), label=9.0, probability=DenseVector([0.0159, 0.0763, 0.183, 0.1576, 0.0379, 0.059, 0.0309, 0.0127, 0.0379, 0.2912, 0.0098, 0.0549, 0.0305, 0.0025]))
Row(prediction=9.0, features=DenseVector([44.0, 47.0, 36.0]), label=6.0, probability=DenseVector([0.039, 0.0838, 0.0159, 0.0188, 0.0173, 0.0002, 0.3068, 0.0037, 0.0151, 0.4381, 0.0066, 0.0308, 0.0234, 0.0005]))
Row(prediction=9.0, features=DenseVector([44.0, 47.0, 38.0]), label=9.0, probability=DenseVector([0.0389, 0.0607, 0.0174, 0.0213, 0.0208, 0.0002, 0.2461, 0.0033, 0.0159, 0.4566, 0.0065, 0.0925, 0.0193, 0.0005]))
Row(prediction=9.0, features=DenseVector([44.0, 47.0, 39.0]), label=9.0, probability=DenseVector([0.0397, 0.0561, 0.021, 0.0265, 0.0239, 0.0001, 0.2463, 0.0032, 0.0169, 0.4432, 0.0066, 0.0979, 0.018, 0.0005]))
Row(prediction=9.0, features=DenseVector([44.0, 47.0, 41.0]), label=9.0, probability=DenseVector([0.0324, 0.0509, 0.0422, 0.0538, 0.0294, 0.006, 0.2203, 0.0027, 0.0142, 0.4358, 0.0069, 0.0866, 0.0177, 0.001]))
Row(prediction=9.0, features=DenseVector([44.0, 47.0, 50.0]), label=9.0, probability=DenseVector([0.0091, 0.0485, 0.235, 0.1736, 0.0245, 0.0729, 0.0498, 0.0055, 0.0176, 0.2731, 0.0053, 0.0674, 0.0163, 0.0013]))
Row(prediction=9.0, features=DenseVector([44.0, 47.0, 53.0]), label=9.0, probability=DenseVector([0.0182, 0.0718, 0.1761, 0.1638, 0.0346, 0.0594, 0.0326, 0.0146, 0.0437, 0.2844, 0.01, 0.0578, 0.0304, 0.0025]))
Row(prediction=6.0, features=DenseVector([44.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0397, 0.0545, 0.0201, 0.0253, 0.0201, 0.0001, 0.3862, 0.0061, 0.0231, 0.3482, 0.0041, 0.053, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 48.0, 39.0]), label=9.0, probability=DenseVector([0.0404, 0.0499, 0.0237, 0.0305, 0.0233, 0.0, 0.3864, 0.006, 0.024, 0.3348, 0.0042, 0.0584, 0.018, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 48.0, 39.0]), label=9.0, probability=DenseVector([0.0404, 0.0499, 0.0237, 0.0305, 0.0233, 0.0, 0.3864, 0.006, 0.024, 0.3348, 0.0042, 0.0584, 0.018, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 48.0, 39.0]), label=9.0, probability=DenseVector([0.0404, 0.0499, 0.0237, 0.0305, 0.0233, 0.0, 0.3864, 0.006, 0.024, 0.3348, 0.0042, 0.0584, 0.018, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 48.0, 39.0]), label=9.0, probability=DenseVector([0.0404, 0.0499, 0.0237, 0.0305, 0.0233, 0.0, 0.3864, 0.006, 0.024, 0.3348, 0.0042, 0.0584, 0.018, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 48.0, 39.0]), label=9.0, probability=DenseVector([0.0404, 0.0499, 0.0237, 0.0305, 0.0233, 0.0, 0.3864, 0.006, 0.024, 0.3348, 0.0042, 0.0584, 0.018, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.0404, 0.0499, 0.0237, 0.0305, 0.0233, 0.0, 0.3864, 0.006, 0.024, 0.3348, 0.0042, 0.0584, 0.018, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 48.0, 40.0]), label=9.0, probability=DenseVector([0.0362, 0.0494, 0.0221, 0.0285, 0.0231, 0.0, 0.367, 0.0055, 0.0212, 0.3659, 0.0034, 0.0604, 0.017, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 48.0, 40.0]), label=9.0, probability=DenseVector([0.0362, 0.0494, 0.0221, 0.0285, 0.0231, 0.0, 0.367, 0.0055, 0.0212, 0.3659, 0.0034, 0.0604, 0.017, 0.0003]))
Row(prediction=9.0, features=DenseVector([44.0, 48.0, 43.0]), label=6.0, probability=DenseVector([0.013, 0.0383, 0.1263, 0.0838, 0.0291, 0.0107, 0.0976, 0.0003, 0.0071, 0.3881, 0.0033, 0.1822, 0.0191, 0.001]))
Row(prediction=9.0, features=DenseVector([44.0, 48.0, 45.0]), label=9.0, probability=DenseVector([0.01, 0.0311, 0.1848, 0.0862, 0.0272, 0.0151, 0.0674, 0.0003, 0.0069, 0.2934, 0.0031, 0.2557, 0.0173, 0.0016]))
Row(prediction=6.0, features=DenseVector([44.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.0449, 0.0826, 0.0146, 0.0213, 0.0178, 0.0001, 0.5453, 0.0088, 0.0186, 0.2038, 0.0031, 0.0189, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 49.0, 37.0]), label=6.0, probability=DenseVector([0.0415, 0.0518, 0.0235, 0.0278, 0.0208, 0.0001, 0.4167, 0.0069, 0.028, 0.3265, 0.0046, 0.0329, 0.0184, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 49.0, 39.0]), label=9.0, probability=DenseVector([0.0422, 0.0473, 0.0271, 0.0331, 0.024, 0.0, 0.4169, 0.0068, 0.0289, 0.3131, 0.0047, 0.0383, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 49.0, 39.0]), label=9.0, probability=DenseVector([0.0422, 0.0473, 0.0271, 0.0331, 0.024, 0.0, 0.4169, 0.0068, 0.0289, 0.3131, 0.0047, 0.0383, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 49.0, 40.0]), label=9.0, probability=DenseVector([0.0381, 0.0468, 0.0254, 0.031, 0.0238, 0.0, 0.3976, 0.0063, 0.0261, 0.3442, 0.0039, 0.0404, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 49.0, 40.0]), label=11.0, probability=DenseVector([0.0381, 0.0468, 0.0254, 0.031, 0.0238, 0.0, 0.3976, 0.0063, 0.0261, 0.3442, 0.0039, 0.0404, 0.0162, 0.0003]))
Row(prediction=9.0, features=DenseVector([44.0, 49.0, 41.0]), label=9.0, probability=DenseVector([0.0325, 0.0449, 0.0442, 0.0566, 0.028, 0.0059, 0.3257, 0.0046, 0.0201, 0.3632, 0.0047, 0.0504, 0.0183, 0.0008]))
Row(prediction=11.0, features=DenseVector([44.0, 49.0, 46.0]), label=9.0, probability=DenseVector([0.0089, 0.0296, 0.2029, 0.0859, 0.0244, 0.0262, 0.0582, 0.0004, 0.0066, 0.2638, 0.0025, 0.2726, 0.0162, 0.0017]))
Row(prediction=9.0, features=DenseVector([44.0, 49.0, 49.0]), label=9.0, probability=DenseVector([0.009, 0.05, 0.2243, 0.1579, 0.0255, 0.0648, 0.0554, 0.0047, 0.0175, 0.3, 0.006, 0.0669, 0.0171, 0.001]))
Row(prediction=6.0, features=DenseVector([44.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0443, 0.0794, 0.0146, 0.0212, 0.0176, 0.0001, 0.5667, 0.0088, 0.0187, 0.1877, 0.0031, 0.0174, 0.0201, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 50.0, 32.0]), label=6.0, probability=DenseVector([0.0443, 0.0794, 0.0146, 0.0212, 0.0176, 0.0001, 0.5667, 0.0088, 0.0187, 0.1877, 0.0031, 0.0174, 0.0201, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0443, 0.0794, 0.0146, 0.0212, 0.0176, 0.0001, 0.5667, 0.0088, 0.0187, 0.1877, 0.0031, 0.0174, 0.0201, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 50.0, 37.0]), label=0.0, probability=DenseVector([0.0403, 0.0504, 0.0228, 0.0282, 0.02, 0.0001, 0.4278, 0.0069, 0.0281, 0.3206, 0.0046, 0.0315, 0.0184, 0.0003]))
Row(prediction=9.0, features=DenseVector([44.0, 50.0, 43.0]), label=9.0, probability=DenseVector([0.013, 0.0383, 0.1263, 0.0838, 0.0291, 0.0107, 0.0976, 0.0003, 0.0071, 0.3881, 0.0033, 0.1822, 0.0191, 0.001]))
Row(prediction=6.0, features=DenseVector([44.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 51.0, 35.0]), label=9.0, probability=DenseVector([0.0513, 0.0448, 0.0147, 0.0238, 0.0185, 0.0, 0.6709, 0.0108, 0.0285, 0.0948, 0.0031, 0.0107, 0.028, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 51.0, 42.0]), label=9.0, probability=DenseVector([0.0085, 0.0345, 0.1084, 0.0841, 0.0326, 0.0084, 0.1354, 0.0003, 0.01, 0.3824, 0.0045, 0.1663, 0.0212, 0.0033]))
Row(prediction=6.0, features=DenseVector([44.0, 52.0, 28.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 52.0, 31.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 52.0, 38.0]), label=6.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 52.0, 41.0]), label=9.0, probability=DenseVector([0.0255, 0.0365, 0.0509, 0.0654, 0.0287, 0.006, 0.3599, 0.0046, 0.0357, 0.3249, 0.0048, 0.0375, 0.0184, 0.0013]))
Row(prediction=6.0, features=DenseVector([44.0, 53.0, 21.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 53.0, 21.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 53.0, 39.0]), label=9.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 54.0, 38.0]), label=6.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 54.0, 39.0]), label=6.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 55.0, 29.0]), label=11.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 55.0, 30.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 55.0, 38.0]), label=9.0, probability=DenseVector([0.0473, 0.0394, 0.0204, 0.0292, 0.0199, 0.0, 0.5819, 0.009, 0.0353, 0.1675, 0.0041, 0.0187, 0.0272, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 55.0, 44.0]), label=9.0, probability=DenseVector([0.0095, 0.0327, 0.1185, 0.0926, 0.0314, 0.0103, 0.1277, 0.0003, 0.011, 0.3654, 0.0036, 0.1723, 0.0193, 0.0054]))
Row(prediction=6.0, features=DenseVector([44.0, 56.0, 37.0]), label=6.0, probability=DenseVector([0.0418, 0.0333, 0.0151, 0.0235, 0.0159, 0.0, 0.6978, 0.0079, 0.0285, 0.0979, 0.0036, 0.0094, 0.0253, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 56.0, 43.0]), label=9.0, probability=DenseVector([0.0089, 0.0316, 0.1085, 0.0874, 0.0294, 0.0084, 0.1408, 0.0003, 0.0093, 0.386, 0.003, 0.1645, 0.0186, 0.0033]))
Row(prediction=6.0, features=DenseVector([44.0, 58.0, 41.0]), label=9.0, probability=DenseVector([0.0258, 0.0307, 0.0396, 0.057, 0.0252, 0.006, 0.4747, 0.0052, 0.021, 0.2651, 0.0041, 0.0278, 0.0164, 0.0015]))
Row(prediction=9.0, features=DenseVector([44.0, 58.0, 43.0]), label=9.0, probability=DenseVector([0.0082, 0.0305, 0.1065, 0.0783, 0.029, 0.0084, 0.1336, 0.0003, 0.0078, 0.4096, 0.003, 0.1634, 0.0196, 0.0017]))
Row(prediction=6.0, features=DenseVector([44.0, 59.0, 16.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 59.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 60.0, 31.0]), label=9.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 60.0, 44.0]), label=6.0, probability=DenseVector([0.0085, 0.0261, 0.1078, 0.0704, 0.023, 0.0101, 0.2241, 0.0004, 0.0052, 0.3356, 0.0027, 0.1657, 0.0191, 0.0014]))
Row(prediction=9.0, features=DenseVector([44.0, 60.0, 47.0]), label=9.0, probability=DenseVector([0.0056, 0.0278, 0.1299, 0.1129, 0.0246, 0.0583, 0.1128, 0.0024, 0.0084, 0.3392, 0.0035, 0.1537, 0.0196, 0.0013]))
Row(prediction=9.0, features=DenseVector([44.0, 60.0, 56.0]), label=9.0, probability=DenseVector([0.0098, 0.0516, 0.0597, 0.1059, 0.0427, 0.0346, 0.1, 0.0056, 0.026, 0.5012, 0.0096, 0.0137, 0.039, 0.0006]))
Row(prediction=6.0, features=DenseVector([44.0, 61.0, 17.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 61.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 61.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 61.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 62.0, 15.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 62.0, 18.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 62.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 62.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 62.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 62.0, 37.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 62.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 62.0, 40.0]), label=6.0, probability=DenseVector([0.0251, 0.0216, 0.0116, 0.0179, 0.0121, 0.0, 0.7677, 0.0055, 0.0196, 0.0998, 0.0025, 0.0061, 0.0102, 0.0003]))
Row(prediction=9.0, features=DenseVector([44.0, 62.0, 43.0]), label=9.0, probability=DenseVector([0.0073, 0.0245, 0.098, 0.0618, 0.0213, 0.0082, 0.2816, 0.0003, 0.0048, 0.3156, 0.0022, 0.1569, 0.0165, 0.001]))
Row(prediction=9.0, features=DenseVector([44.0, 62.0, 55.0]), label=6.0, probability=DenseVector([0.0098, 0.0516, 0.0597, 0.1059, 0.0427, 0.0346, 0.1, 0.0056, 0.026, 0.5012, 0.0096, 0.0137, 0.039, 0.0006]))
Row(prediction=9.0, features=DenseVector([44.0, 62.0, 61.0]), label=9.0, probability=DenseVector([0.0098, 0.0516, 0.0597, 0.1059, 0.0427, 0.0346, 0.1, 0.0056, 0.026, 0.5012, 0.0096, 0.0137, 0.039, 0.0006]))
Row(prediction=6.0, features=DenseVector([44.0, 63.0, 0.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 63.0, 9.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 63.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 63.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 63.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 63.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 63.0, 39.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([44.0, 63.0, 41.0]), label=6.0, probability=DenseVector([0.0249, 0.0242, 0.0332, 0.041, 0.0182, 0.0058, 0.6088, 0.0052, 0.0194, 0.1814, 0.0033, 0.0212, 0.0127, 0.0007]))
Row(prediction=6.0, features=DenseVector([44.0, 63.0, 42.0]), label=6.0, probability=DenseVector([0.0079, 0.0232, 0.098, 0.0619, 0.0213, 0.0082, 0.3089, 0.0003, 0.005, 0.2906, 0.0022, 0.1569, 0.0146, 0.001]))
Row(prediction=9.0, features=DenseVector([44.0, 63.0, 55.0]), label=9.0, probability=DenseVector([0.0098, 0.0516, 0.0597, 0.1059, 0.0427, 0.0346, 0.1, 0.0056, 0.026, 0.5012, 0.0096, 0.0137, 0.039, 0.0006]))
Row(prediction=9.0, features=DenseVector([45.0, 2.0, 54.0]), label=9.0, probability=DenseVector([0.0047, 0.0805, 0.1657, 0.0037, 0.0153, 0.0066, 0.0026, 0.0005, 0.0037, 0.6434, 0.0035, 0.0358, 0.034, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 11.0, 39.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 15.0, 34.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 15.0, 41.0]), label=9.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 15.0, 42.0]), label=12.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 16.0, 38.0]), label=11.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 16.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 16.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 16.0, 41.0]), label=12.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 29.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 34.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 38.0]), label=11.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 38.0]), label=11.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 43.0]), label=9.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 38.0]), label=11.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 39.0]), label=12.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 41.0]), label=11.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 42.0]), label=9.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 44.0]), label=12.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 19.0, 33.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 19.0, 37.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 19.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 19.0, 40.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 19.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 19.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 19.0, 41.0]), label=2.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 19.0, 41.0]), label=11.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 19.0, 43.0]), label=2.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 20.0, 39.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 20.0, 43.0]), label=2.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 20.0, 43.0]), label=2.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 20.0, 44.0]), label=2.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 20.0, 45.0]), label=9.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 21.0, 35.0]), label=12.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 21.0, 41.0]), label=9.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 21.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 21.0, 51.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 22.0, 39.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 22.0, 41.0]), label=12.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 23.0, 33.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 23.0, 37.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 23.0, 43.0]), label=9.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 23.0, 43.0]), label=9.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 23.0, 46.0]), label=9.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 23.0, 47.0]), label=9.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 24.0, 28.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 24.0, 28.0]), label=12.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 24.0, 40.0]), label=12.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 46.0]), label=9.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 47.0]), label=9.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 47.0]), label=9.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 25.0, 41.0]), label=9.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 47.0]), label=12.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 26.0, 24.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 26.0, 36.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 27.0, 37.0]), label=9.0, probability=DenseVector([0.0079, 0.0778, 0.0109, 0.0044, 0.0112, 0.0014, 0.0409, 0.0007, 0.0021, 0.5701, 0.0016, 0.2364, 0.0345, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 27.0, 41.0]), label=9.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 27.0, 45.0]), label=9.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 47.0]), label=11.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 28.0, 34.0]), label=9.0, probability=DenseVector([0.0118, 0.0862, 0.01, 0.0044, 0.0114, 0.0014, 0.053, 0.0018, 0.0021, 0.714, 0.002, 0.0529, 0.049, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 47.0]), label=11.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 50.0]), label=0.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 29.0, 38.0]), label=9.0, probability=DenseVector([0.0079, 0.0778, 0.0109, 0.0044, 0.0112, 0.0014, 0.0409, 0.0007, 0.0021, 0.5701, 0.0016, 0.2364, 0.0345, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 46.0]), label=9.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 30.0, 33.0]), label=9.0, probability=DenseVector([0.0126, 0.0856, 0.01, 0.0042, 0.0128, 0.0014, 0.0559, 0.0015, 0.0021, 0.705, 0.0029, 0.0572, 0.0487, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 30.0, 34.0]), label=9.0, probability=DenseVector([0.0126, 0.0856, 0.01, 0.0042, 0.0128, 0.0014, 0.0559, 0.0015, 0.0021, 0.705, 0.0029, 0.0572, 0.0487, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 30.0, 38.0]), label=9.0, probability=DenseVector([0.0087, 0.0772, 0.0109, 0.0042, 0.0127, 0.0014, 0.0438, 0.0004, 0.0021, 0.5611, 0.0026, 0.2407, 0.0342, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 30.0, 38.0]), label=9.0, probability=DenseVector([0.0087, 0.0772, 0.0109, 0.0042, 0.0127, 0.0014, 0.0438, 0.0004, 0.0021, 0.5611, 0.0026, 0.2407, 0.0342, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 52.0]), label=11.0, probability=DenseVector([0.0214, 0.1024, 0.5397, 0.0165, 0.0222, 0.0209, 0.0016, 0.008, 0.0116, 0.0929, 0.0133, 0.1399, 0.0092, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 32.0, 37.0]), label=9.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 51.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 33.0, 35.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=11.0, features=DenseVector([45.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([45.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 48.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 34.0, 34.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 34.0, 39.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=11.0, features=DenseVector([45.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0087, 0.044, 0.2152, 0.0293, 0.0186, 0.0053, 0.0176, 0.0002, 0.0024, 0.2194, 0.0024, 0.4211, 0.0149, 0.0009]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 35.0, 37.0]), label=9.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 35.0, 40.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 35.0, 40.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=11.0, features=DenseVector([45.0, 35.0, 44.0]), label=9.0, probability=DenseVector([0.0111, 0.0439, 0.1625, 0.0322, 0.0208, 0.0028, 0.0296, 0.0003, 0.0034, 0.3029, 0.0023, 0.37, 0.0176, 0.0006]))
Row(prediction=11.0, features=DenseVector([45.0, 35.0, 45.0]), label=9.0, probability=DenseVector([0.0087, 0.044, 0.2152, 0.0293, 0.0186, 0.0053, 0.0176, 0.0002, 0.0024, 0.2194, 0.0024, 0.4211, 0.0149, 0.0009]))
Row(prediction=11.0, features=DenseVector([45.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([45.0, 35.0, 46.0]), label=9.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([45.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 50.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 36.0, 43.0]), label=9.0, probability=DenseVector([0.0132, 0.0479, 0.1424, 0.028, 0.0238, 0.0009, 0.0388, 0.0004, 0.0039, 0.3539, 0.0031, 0.3238, 0.0194, 0.0004]))
Row(prediction=11.0, features=DenseVector([45.0, 36.0, 46.0]), label=9.0, probability=DenseVector([0.0086, 0.0428, 0.2322, 0.0357, 0.0181, 0.0169, 0.0145, 0.0003, 0.0025, 0.1874, 0.0024, 0.4238, 0.0137, 0.0012]))
Row(prediction=11.0, features=DenseVector([45.0, 36.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0633, 0.3657, 0.0182, 0.0176, 0.0153, 0.0089, 0.001, 0.0018, 0.112, 0.0065, 0.3688, 0.0091, 0.0005]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 49.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 49.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 50.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 37.0, 48.0]), label=11.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 37.0, 48.0]), label=11.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 37.0, 49.0]), label=11.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 37.0, 49.0]), label=11.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 37.0, 49.0]), label=11.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 37.0, 49.0]), label=11.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 37.0, 49.0]), label=11.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 38.0, 39.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 38.0, 48.0]), label=6.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([45.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([45.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=9.0, features=DenseVector([45.0, 39.0, 39.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=11.0, features=DenseVector([45.0, 39.0, 45.0]), label=11.0, probability=DenseVector([0.0115, 0.0361, 0.2222, 0.0661, 0.0262, 0.017, 0.0395, 0.0003, 0.0048, 0.2377, 0.0032, 0.3184, 0.0154, 0.0015]))
Row(prediction=11.0, features=DenseVector([45.0, 39.0, 46.0]), label=11.0, probability=DenseVector([0.0104, 0.0346, 0.2404, 0.0659, 0.0234, 0.0282, 0.0303, 0.0004, 0.0045, 0.2082, 0.0026, 0.3353, 0.0143, 0.0016]))
Row(prediction=2.0, features=DenseVector([45.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=9.0, features=DenseVector([45.0, 40.0, 27.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 40.0, 36.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 40.0, 39.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=11.0, features=DenseVector([45.0, 40.0, 45.0]), label=0.0, probability=DenseVector([0.0184, 0.0346, 0.2233, 0.0785, 0.0331, 0.0182, 0.0458, 0.0005, 0.0067, 0.2495, 0.0094, 0.2618, 0.0166, 0.0035]))
Row(prediction=11.0, features=DenseVector([45.0, 40.0, 46.0]), label=9.0, probability=DenseVector([0.0126, 0.036, 0.2499, 0.0938, 0.0233, 0.0417, 0.0309, 0.0061, 0.0128, 0.1952, 0.003, 0.2722, 0.0153, 0.0069]))
Row(prediction=11.0, features=DenseVector([45.0, 40.0, 46.0]), label=11.0, probability=DenseVector([0.0126, 0.036, 0.2499, 0.0938, 0.0233, 0.0417, 0.0309, 0.0061, 0.0128, 0.1952, 0.003, 0.2722, 0.0153, 0.0069]))
Row(prediction=11.0, features=DenseVector([45.0, 40.0, 46.0]), label=11.0, probability=DenseVector([0.0126, 0.036, 0.2499, 0.0938, 0.0233, 0.0417, 0.0309, 0.0061, 0.0128, 0.1952, 0.003, 0.2722, 0.0153, 0.0069]))
Row(prediction=9.0, features=DenseVector([45.0, 41.0, 33.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 41.0, 37.0]), label=9.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 41.0, 43.0]), label=9.0, probability=DenseVector([0.0217, 0.0387, 0.1527, 0.0705, 0.036, 0.0137, 0.0604, 0.0007, 0.0079, 0.3703, 0.0095, 0.1944, 0.0207, 0.0028]))
Row(prediction=9.0, features=DenseVector([45.0, 41.0, 44.0]), label=11.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([45.0, 41.0, 45.0]), label=11.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([45.0, 41.0, 46.0]), label=11.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=2.0, features=DenseVector([45.0, 41.0, 47.0]), label=9.0, probability=DenseVector([0.0121, 0.0387, 0.2885, 0.1219, 0.0213, 0.0748, 0.0232, 0.008, 0.0158, 0.1539, 0.0041, 0.2181, 0.0131, 0.0066]))
Row(prediction=2.0, features=DenseVector([45.0, 41.0, 48.0]), label=11.0, probability=DenseVector([0.0131, 0.0528, 0.3221, 0.1785, 0.0227, 0.0881, 0.0173, 0.0113, 0.0226, 0.17, 0.006, 0.075, 0.014, 0.0066]))
Row(prediction=9.0, features=DenseVector([45.0, 42.0, 36.0]), label=9.0, probability=DenseVector([0.0208, 0.0832, 0.0104, 0.0055, 0.0135, 0.0012, 0.0629, 0.0029, 0.0026, 0.7019, 0.0045, 0.0526, 0.0381, 0.0001]))
Row(prediction=11.0, features=DenseVector([45.0, 42.0, 46.0]), label=11.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=9.0, features=DenseVector([45.0, 43.0, 40.0]), label=9.0, probability=DenseVector([0.0331, 0.0589, 0.0172, 0.0194, 0.0253, 0.0002, 0.1445, 0.0004, 0.0062, 0.5466, 0.0081, 0.1241, 0.0154, 0.0004]))
Row(prediction=9.0, features=DenseVector([45.0, 43.0, 42.0]), label=11.0, probability=DenseVector([0.0234, 0.0409, 0.1364, 0.0692, 0.0366, 0.0111, 0.0827, 0.0006, 0.0082, 0.371, 0.0096, 0.1874, 0.02, 0.0031]))
Row(prediction=9.0, features=DenseVector([45.0, 43.0, 44.0]), label=9.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=9.0, features=DenseVector([45.0, 44.0, 36.0]), label=6.0, probability=DenseVector([0.032, 0.1029, 0.0097, 0.0114, 0.015, 0.0002, 0.1852, 0.0014, 0.0039, 0.5715, 0.0047, 0.0372, 0.0243, 0.0004]))
Row(prediction=9.0, features=DenseVector([45.0, 44.0, 42.0]), label=9.0, probability=DenseVector([0.0234, 0.0409, 0.1364, 0.0692, 0.0366, 0.0111, 0.0827, 0.0006, 0.0082, 0.371, 0.0096, 0.1874, 0.02, 0.0031]))
Row(prediction=2.0, features=DenseVector([45.0, 44.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0384, 0.2656, 0.1298, 0.0209, 0.0767, 0.0259, 0.0079, 0.0163, 0.1678, 0.0038, 0.216, 0.0132, 0.0065]))
Row(prediction=2.0, features=DenseVector([45.0, 45.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0384, 0.2656, 0.1298, 0.0209, 0.0767, 0.0259, 0.0079, 0.0163, 0.1678, 0.0038, 0.216, 0.0132, 0.0065]))
Row(prediction=9.0, features=DenseVector([45.0, 46.0, 30.0]), label=6.0, probability=DenseVector([0.035, 0.0968, 0.0098, 0.0117, 0.016, 0.0002, 0.2196, 0.0022, 0.0046, 0.5385, 0.0048, 0.0354, 0.0249, 0.0004]))
Row(prediction=9.0, features=DenseVector([45.0, 46.0, 38.0]), label=9.0, probability=DenseVector([0.0367, 0.0615, 0.015, 0.0172, 0.0223, 0.0002, 0.177, 0.001, 0.0085, 0.5313, 0.0085, 0.1035, 0.0168, 0.0004]))
Row(prediction=9.0, features=DenseVector([45.0, 46.0, 40.0]), label=6.0, probability=DenseVector([0.0332, 0.0565, 0.0169, 0.0204, 0.0253, 0.0002, 0.1578, 0.0004, 0.0066, 0.5489, 0.0078, 0.111, 0.0146, 0.0004]))
Row(prediction=9.0, features=DenseVector([45.0, 46.0, 42.0]), label=9.0, probability=DenseVector([0.0148, 0.0398, 0.11, 0.0801, 0.0295, 0.0083, 0.1124, 0.0003, 0.0072, 0.3956, 0.0038, 0.1774, 0.0196, 0.0012]))
Row(prediction=2.0, features=DenseVector([45.0, 46.0, 47.0]), label=11.0, probability=DenseVector([0.0078, 0.0355, 0.2333, 0.119, 0.0214, 0.0615, 0.0526, 0.0021, 0.0091, 0.2273, 0.0034, 0.2121, 0.0135, 0.0013]))
Row(prediction=9.0, features=DenseVector([45.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.0356, 0.1035, 0.0117, 0.0138, 0.0156, 0.0002, 0.3135, 0.003, 0.0088, 0.4361, 0.0053, 0.0299, 0.0224, 0.0005]))
Row(prediction=9.0, features=DenseVector([45.0, 47.0, 41.0]), label=11.0, probability=DenseVector([0.0324, 0.0509, 0.0422, 0.0538, 0.0294, 0.006, 0.2203, 0.0027, 0.0142, 0.4358, 0.0069, 0.0866, 0.0177, 0.001]))
Row(prediction=9.0, features=DenseVector([45.0, 47.0, 45.0]), label=11.0, probability=DenseVector([0.01, 0.0311, 0.1848, 0.0862, 0.0272, 0.0151, 0.0674, 0.0003, 0.0069, 0.2934, 0.0031, 0.2557, 0.0173, 0.0016]))
Row(prediction=6.0, features=DenseVector([45.0, 48.0, 33.0]), label=6.0, probability=DenseVector([0.0445, 0.0838, 0.0146, 0.0213, 0.0175, 0.0001, 0.5292, 0.0088, 0.0186, 0.2211, 0.0031, 0.0191, 0.0181, 0.0003]))
Row(prediction=6.0, features=DenseVector([45.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0397, 0.0545, 0.0201, 0.0253, 0.0201, 0.0001, 0.3862, 0.0061, 0.0231, 0.3482, 0.0041, 0.053, 0.0193, 0.0003]))
Row(prediction=9.0, features=DenseVector([45.0, 48.0, 41.0]), label=9.0, probability=DenseVector([0.0325, 0.0449, 0.0442, 0.0566, 0.028, 0.0059, 0.3257, 0.0046, 0.0201, 0.3632, 0.0047, 0.0504, 0.0183, 0.0008]))
Row(prediction=9.0, features=DenseVector([45.0, 48.0, 50.0]), label=9.0, probability=DenseVector([0.009, 0.05, 0.2243, 0.1579, 0.0255, 0.0648, 0.0554, 0.0047, 0.0175, 0.3, 0.006, 0.0669, 0.0171, 0.001]))
Row(prediction=6.0, features=DenseVector([45.0, 49.0, 32.0]), label=6.0, probability=DenseVector([0.0449, 0.0826, 0.0146, 0.0213, 0.0178, 0.0001, 0.5453, 0.0088, 0.0186, 0.2038, 0.0031, 0.0189, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([45.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0449, 0.0826, 0.0146, 0.0213, 0.0178, 0.0001, 0.5453, 0.0088, 0.0186, 0.2038, 0.0031, 0.0189, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([45.0, 49.0, 39.0]), label=9.0, probability=DenseVector([0.0422, 0.0473, 0.0271, 0.0331, 0.024, 0.0, 0.4169, 0.0068, 0.0289, 0.3131, 0.0047, 0.0383, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([45.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0403, 0.0504, 0.0228, 0.0282, 0.02, 0.0001, 0.4278, 0.0069, 0.0281, 0.3206, 0.0046, 0.0315, 0.0184, 0.0003]))
Row(prediction=6.0, features=DenseVector([45.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.031, 0.0384, 0.0322, 0.0398, 0.0244, 0.0001, 0.4317, 0.0063, 0.0416, 0.3059, 0.0039, 0.0275, 0.0163, 0.0008]))
Row(prediction=9.0, features=DenseVector([45.0, 51.0, 43.0]), label=9.0, probability=DenseVector([0.0085, 0.0345, 0.1084, 0.0841, 0.0326, 0.0084, 0.1354, 0.0003, 0.01, 0.3824, 0.0045, 0.1663, 0.0212, 0.0033]))
Row(prediction=6.0, features=DenseVector([45.0, 53.0, 36.0]), label=6.0, probability=DenseVector([0.0505, 0.0453, 0.0162, 0.0257, 0.0189, 0.0, 0.6339, 0.0098, 0.0305, 0.1228, 0.0037, 0.0141, 0.0285, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 53.0, 42.0]), label=9.0, probability=DenseVector([0.0091, 0.0335, 0.1106, 0.0904, 0.0314, 0.0084, 0.137, 0.0003, 0.0108, 0.3744, 0.0037, 0.166, 0.0195, 0.005]))
Row(prediction=6.0, features=DenseVector([45.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 54.0, 34.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 54.0, 45.0]), label=9.0, probability=DenseVector([0.0094, 0.0318, 0.1208, 0.0949, 0.0312, 0.0126, 0.1251, 0.0003, 0.011, 0.35, 0.0036, 0.1848, 0.0189, 0.0056]))
Row(prediction=9.0, features=DenseVector([45.0, 55.0, 43.0]), label=9.0, probability=DenseVector([0.0091, 0.0335, 0.1106, 0.0904, 0.0314, 0.0084, 0.137, 0.0003, 0.0108, 0.3744, 0.0037, 0.166, 0.0195, 0.005]))
Row(prediction=9.0, features=DenseVector([45.0, 55.0, 55.0]), label=9.0, probability=DenseVector([0.0103, 0.0557, 0.0652, 0.1177, 0.0479, 0.0348, 0.0718, 0.0053, 0.0303, 0.4926, 0.0107, 0.0166, 0.0382, 0.0029]))
Row(prediction=6.0, features=DenseVector([45.0, 56.0, 22.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 56.0, 31.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 56.0, 32.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 56.0, 34.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 58.0, 32.0]), label=6.0, probability=DenseVector([0.0332, 0.0248, 0.0074, 0.013, 0.012, 0.0, 0.8351, 0.0076, 0.0173, 0.0353, 0.0023, 0.0032, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 58.0, 37.0]), label=6.0, probability=DenseVector([0.0328, 0.0242, 0.0126, 0.019, 0.0132, 0.0, 0.7706, 0.0063, 0.0239, 0.0701, 0.0035, 0.0061, 0.0176, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 60.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 60.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 60.0, 50.0]), label=9.0, probability=DenseVector([0.0062, 0.0389, 0.1083, 0.1513, 0.0286, 0.0612, 0.1155, 0.005, 0.0167, 0.4167, 0.0058, 0.0213, 0.0237, 0.001]))
Row(prediction=9.0, features=DenseVector([45.0, 61.0, 50.0]), label=9.0, probability=DenseVector([0.0062, 0.0389, 0.1083, 0.1513, 0.0286, 0.0612, 0.1155, 0.005, 0.0167, 0.4167, 0.0058, 0.0213, 0.0237, 0.001]))
Row(prediction=6.0, features=DenseVector([45.0, 62.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 62.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 7.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 8.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 8.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 37.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 37.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([45.0, 63.0, 42.0]), label=6.0, probability=DenseVector([0.0079, 0.0232, 0.098, 0.0619, 0.0213, 0.0082, 0.3089, 0.0003, 0.005, 0.2906, 0.0022, 0.1569, 0.0146, 0.001]))
Row(prediction=9.0, features=DenseVector([46.0, 2.0, 59.0]), label=9.0, probability=DenseVector([0.0047, 0.0805, 0.1657, 0.0037, 0.0153, 0.0066, 0.0026, 0.0005, 0.0037, 0.6434, 0.0035, 0.0358, 0.034, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 4.0, 54.0]), label=9.0, probability=DenseVector([0.0047, 0.0805, 0.1657, 0.0037, 0.0153, 0.0066, 0.0026, 0.0005, 0.0037, 0.6434, 0.0035, 0.0358, 0.034, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 12.0, 29.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 12.0, 42.0]), label=9.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 12.0, 63.0]), label=9.0, probability=DenseVector([0.0047, 0.0805, 0.1657, 0.0037, 0.0153, 0.0066, 0.0026, 0.0005, 0.0037, 0.6434, 0.0035, 0.0358, 0.034, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 14.0, 39.0]), label=12.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 14.0, 43.0]), label=9.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 16.0, 26.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 41.0]), label=11.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 29.0]), label=12.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 38.0]), label=11.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 41.0]), label=9.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 41.0]), label=11.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 31.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 33.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 39.0]), label=12.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 19.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 20.0, 30.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 21.0, 46.0]), label=2.0, probability=DenseVector([0.0034, 0.0735, 0.3969, 0.0062, 0.0091, 0.0033, 0.0032, 0.0002, 0.0009, 0.3013, 0.0013, 0.18, 0.0207, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 22.0, 41.0]), label=9.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 23.0, 42.0]), label=9.0, probability=DenseVector([0.0104, 0.072, 0.1582, 0.0177, 0.0166, 0.0008, 0.0288, 0.0003, 0.0038, 0.5422, 0.0021, 0.1162, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 24.0, 37.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 25.0, 42.0]), label=9.0, probability=DenseVector([0.0104, 0.072, 0.1582, 0.0177, 0.0166, 0.0008, 0.0288, 0.0003, 0.0038, 0.5422, 0.0021, 0.1162, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 26.0, 43.0]), label=9.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 26.0, 43.0]), label=9.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 26.0, 45.0]), label=9.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 26.0, 45.0]), label=9.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 27.0, 36.0]), label=9.0, probability=DenseVector([0.0118, 0.0862, 0.01, 0.0044, 0.0114, 0.0014, 0.053, 0.0018, 0.0021, 0.714, 0.002, 0.0529, 0.049, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 27.0, 38.0]), label=11.0, probability=DenseVector([0.0079, 0.0778, 0.0109, 0.0044, 0.0112, 0.0014, 0.0409, 0.0007, 0.0021, 0.5701, 0.0016, 0.2364, 0.0345, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 28.0, 31.0]), label=9.0, probability=DenseVector([0.0118, 0.0862, 0.01, 0.0044, 0.0114, 0.0014, 0.053, 0.0018, 0.0021, 0.714, 0.002, 0.0529, 0.049, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 28.0, 42.0]), label=9.0, probability=DenseVector([0.0104, 0.072, 0.1582, 0.0177, 0.0166, 0.0008, 0.0288, 0.0003, 0.0038, 0.5422, 0.0021, 0.1162, 0.0306, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 29.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 29.0, 41.0]), label=9.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 46.0]), label=11.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 46.0]), label=11.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 50.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 51.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 57.0]), label=9.0, probability=DenseVector([0.03, 0.1424, 0.3756, 0.0145, 0.0405, 0.017, 0.0037, 0.0034, 0.0103, 0.21, 0.0197, 0.1105, 0.0224, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 30.0, 35.0]), label=9.0, probability=DenseVector([0.0126, 0.0856, 0.01, 0.0042, 0.0128, 0.0014, 0.0559, 0.0015, 0.0021, 0.705, 0.0029, 0.0572, 0.0487, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 30.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([46.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([46.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([46.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 31.0, 38.0]), label=9.0, probability=DenseVector([0.0087, 0.0772, 0.0109, 0.0042, 0.0127, 0.0014, 0.0438, 0.0004, 0.0021, 0.5611, 0.0026, 0.2407, 0.0342, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 31.0, 41.0]), label=9.0, probability=DenseVector([0.0108, 0.0622, 0.0397, 0.0135, 0.017, 0.001, 0.0286, 0.0003, 0.0035, 0.465, 0.0021, 0.3301, 0.0259, 0.0002]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 32.0, 20.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 32.0, 35.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 32.0, 39.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 32.0, 41.0]), label=9.0, probability=DenseVector([0.0144, 0.0544, 0.0383, 0.0144, 0.0215, 0.0006, 0.034, 0.0004, 0.0036, 0.4469, 0.0035, 0.3455, 0.0221, 0.0002]))
Row(prediction=11.0, features=DenseVector([46.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 48.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 50.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 33.0, 34.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 33.0, 40.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 33.0, 41.0]), label=9.0, probability=DenseVector([0.0144, 0.0544, 0.0383, 0.0144, 0.0215, 0.0006, 0.034, 0.0004, 0.0036, 0.4469, 0.0035, 0.3455, 0.0221, 0.0002]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 43.0]), label=9.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0101, 0.0445, 0.1551, 0.0236, 0.0198, 0.0008, 0.0279, 0.0003, 0.0033, 0.2962, 0.0018, 0.3987, 0.0177, 0.0002]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 52.0]), label=11.0, probability=DenseVector([0.0293, 0.1013, 0.4695, 0.0281, 0.03, 0.0878, 0.0017, 0.0091, 0.0101, 0.0814, 0.0211, 0.1166, 0.0112, 0.0028]))
Row(prediction=9.0, features=DenseVector([46.0, 34.0, 38.0]), label=9.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 34.0, 40.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([46.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 49.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 50.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 51.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 35.0, 36.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 35.0, 42.0]), label=9.0, probability=DenseVector([0.012, 0.0476, 0.1177, 0.0213, 0.0211, 0.0005, 0.0345, 0.0003, 0.0038, 0.3677, 0.0022, 0.3504, 0.0205, 0.0002]))
Row(prediction=11.0, features=DenseVector([46.0, 35.0, 45.0]), label=11.0, probability=DenseVector([0.0087, 0.044, 0.2152, 0.0293, 0.0186, 0.0053, 0.0176, 0.0002, 0.0024, 0.2194, 0.0024, 0.4211, 0.0149, 0.0009]))
Row(prediction=11.0, features=DenseVector([46.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 35.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 35.0, 49.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 36.0, 47.0]), label=11.0, probability=DenseVector([0.0114, 0.0633, 0.3657, 0.0182, 0.0176, 0.0153, 0.0089, 0.001, 0.0018, 0.112, 0.0065, 0.3688, 0.0091, 0.0005]))
Row(prediction=11.0, features=DenseVector([46.0, 36.0, 47.0]), label=11.0, probability=DenseVector([0.0114, 0.0633, 0.3657, 0.0182, 0.0176, 0.0153, 0.0089, 0.001, 0.0018, 0.112, 0.0065, 0.3688, 0.0091, 0.0005]))
Row(prediction=2.0, features=DenseVector([46.0, 36.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 36.0, 49.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 37.0, 40.0]), label=6.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 37.0, 42.0]), label=9.0, probability=DenseVector([0.0133, 0.0475, 0.1157, 0.028, 0.0234, 0.0006, 0.0412, 0.0003, 0.0041, 0.3814, 0.0027, 0.3205, 0.0209, 0.0004]))
Row(prediction=11.0, features=DenseVector([46.0, 37.0, 45.0]), label=9.0, probability=DenseVector([0.0099, 0.0439, 0.2131, 0.036, 0.0209, 0.0055, 0.0242, 0.0002, 0.0027, 0.2331, 0.0029, 0.3912, 0.0153, 0.001]))
Row(prediction=11.0, features=DenseVector([46.0, 37.0, 46.0]), label=9.0, probability=DenseVector([0.0086, 0.0428, 0.2322, 0.0357, 0.0181, 0.0169, 0.0145, 0.0003, 0.0025, 0.1874, 0.0024, 0.4238, 0.0137, 0.0012]))
Row(prediction=2.0, features=DenseVector([46.0, 37.0, 48.0]), label=9.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 37.0, 49.0]), label=9.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 38.0, 30.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 38.0, 37.0]), label=9.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 38.0, 42.0]), label=11.0, probability=DenseVector([0.0141, 0.0437, 0.1251, 0.0422, 0.0248, 0.0045, 0.045, 0.0004, 0.0051, 0.3597, 0.0031, 0.312, 0.0196, 0.0007]))
Row(prediction=11.0, features=DenseVector([46.0, 38.0, 44.0]), label=9.0, probability=DenseVector([0.013, 0.0365, 0.1601, 0.0597, 0.0246, 0.0088, 0.0409, 0.0003, 0.0053, 0.3007, 0.0027, 0.3294, 0.0168, 0.0011]))
Row(prediction=11.0, features=DenseVector([46.0, 38.0, 46.0]), label=11.0, probability=DenseVector([0.0095, 0.0351, 0.2309, 0.0565, 0.0196, 0.0225, 0.0197, 0.0003, 0.004, 0.1877, 0.0022, 0.3974, 0.013, 0.0014]))
Row(prediction=2.0, features=DenseVector([46.0, 38.0, 48.0]), label=9.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([46.0, 38.0, 49.0]), label=11.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([46.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=9.0, features=DenseVector([46.0, 39.0, 42.0]), label=9.0, probability=DenseVector([0.015, 0.0433, 0.1345, 0.0515, 0.0286, 0.0101, 0.0557, 0.0005, 0.0056, 0.3802, 0.0034, 0.2498, 0.0208, 0.0008]))
Row(prediction=9.0, features=DenseVector([46.0, 39.0, 43.0]), label=9.0, probability=DenseVector([0.0148, 0.0402, 0.1516, 0.0581, 0.0291, 0.0125, 0.0541, 0.0005, 0.006, 0.3585, 0.0033, 0.251, 0.0195, 0.0008]))
Row(prediction=11.0, features=DenseVector([46.0, 39.0, 46.0]), label=11.0, probability=DenseVector([0.0104, 0.0346, 0.2404, 0.0659, 0.0234, 0.0282, 0.0303, 0.0004, 0.0045, 0.2082, 0.0026, 0.3353, 0.0143, 0.0016]))
Row(prediction=2.0, features=DenseVector([46.0, 39.0, 47.0]), label=11.0, probability=DenseVector([0.0116, 0.0442, 0.306, 0.0626, 0.0217, 0.0804, 0.0211, 0.0012, 0.0054, 0.1495, 0.0067, 0.2776, 0.0111, 0.0008]))
Row(prediction=2.0, features=DenseVector([46.0, 39.0, 47.0]), label=11.0, probability=DenseVector([0.0116, 0.0442, 0.306, 0.0626, 0.0217, 0.0804, 0.0211, 0.0012, 0.0054, 0.1495, 0.0067, 0.2776, 0.0111, 0.0008]))
Row(prediction=9.0, features=DenseVector([46.0, 40.0, 39.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 40.0, 47.0]), label=9.0, probability=DenseVector([0.0123, 0.0422, 0.3033, 0.119, 0.0207, 0.0751, 0.0226, 0.008, 0.0148, 0.1447, 0.0044, 0.2138, 0.0126, 0.0066]))
Row(prediction=9.0, features=DenseVector([46.0, 41.0, 42.0]), label=6.0, probability=DenseVector([0.0219, 0.0418, 0.1356, 0.0639, 0.0355, 0.0113, 0.062, 0.0007, 0.0075, 0.392, 0.0096, 0.1932, 0.022, 0.0028]))
Row(prediction=9.0, features=DenseVector([46.0, 41.0, 42.0]), label=9.0, probability=DenseVector([0.0219, 0.0418, 0.1356, 0.0639, 0.0355, 0.0113, 0.062, 0.0007, 0.0075, 0.392, 0.0096, 0.1932, 0.022, 0.0028]))
Row(prediction=9.0, features=DenseVector([46.0, 41.0, 44.0]), label=11.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([46.0, 41.0, 45.0]), label=11.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([46.0, 41.0, 45.0]), label=11.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([46.0, 41.0, 45.0]), label=9.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([46.0, 41.0, 46.0]), label=11.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=11.0, features=DenseVector([46.0, 41.0, 46.0]), label=11.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=11.0, features=DenseVector([46.0, 41.0, 46.0]), label=11.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=9.0, features=DenseVector([46.0, 41.0, 61.0]), label=12.0, probability=DenseVector([0.0197, 0.0767, 0.2389, 0.1402, 0.041, 0.0585, 0.0159, 0.0088, 0.0371, 0.2551, 0.0122, 0.0629, 0.0311, 0.002]))
Row(prediction=9.0, features=DenseVector([46.0, 42.0, 30.0]), label=9.0, probability=DenseVector([0.0208, 0.0832, 0.0104, 0.0055, 0.0135, 0.0012, 0.0629, 0.0029, 0.0026, 0.7019, 0.0045, 0.0526, 0.0381, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 42.0, 35.0]), label=9.0, probability=DenseVector([0.0208, 0.0832, 0.0104, 0.0055, 0.0135, 0.0012, 0.0629, 0.0029, 0.0026, 0.7019, 0.0045, 0.0526, 0.0381, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 42.0, 41.0]), label=11.0, probability=DenseVector([0.0233, 0.0524, 0.0422, 0.0355, 0.0306, 0.0067, 0.0583, 0.0007, 0.0055, 0.4654, 0.0093, 0.247, 0.0214, 0.0015]))
Row(prediction=9.0, features=DenseVector([46.0, 42.0, 42.0]), label=9.0, probability=DenseVector([0.0219, 0.0418, 0.1356, 0.0639, 0.0355, 0.0113, 0.062, 0.0007, 0.0075, 0.392, 0.0096, 0.1932, 0.022, 0.0028]))
Row(prediction=11.0, features=DenseVector([46.0, 42.0, 45.0]), label=11.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([46.0, 42.0, 45.0]), label=11.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([46.0, 42.0, 45.0]), label=11.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([46.0, 42.0, 46.0]), label=11.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=9.0, features=DenseVector([46.0, 43.0, 35.0]), label=6.0, probability=DenseVector([0.0317, 0.1012, 0.0099, 0.0115, 0.0156, 0.0002, 0.1665, 0.0015, 0.0039, 0.5871, 0.0047, 0.0385, 0.0269, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 43.0, 39.0]), label=9.0, probability=DenseVector([0.0331, 0.0589, 0.0172, 0.0194, 0.0253, 0.0002, 0.1445, 0.0004, 0.0062, 0.5466, 0.0081, 0.1241, 0.0154, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 43.0, 40.0]), label=9.0, probability=DenseVector([0.0331, 0.0589, 0.0172, 0.0194, 0.0253, 0.0002, 0.1445, 0.0004, 0.0062, 0.5466, 0.0081, 0.1241, 0.0154, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 43.0, 44.0]), label=11.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([46.0, 43.0, 46.0]), label=11.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=2.0, features=DenseVector([46.0, 43.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0384, 0.2656, 0.1298, 0.0209, 0.0767, 0.0259, 0.0079, 0.0163, 0.1678, 0.0038, 0.216, 0.0132, 0.0065]))
Row(prediction=2.0, features=DenseVector([46.0, 43.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0384, 0.2656, 0.1298, 0.0209, 0.0767, 0.0259, 0.0079, 0.0163, 0.1678, 0.0038, 0.216, 0.0132, 0.0065]))
Row(prediction=2.0, features=DenseVector([46.0, 43.0, 49.0]), label=9.0, probability=DenseVector([0.0123, 0.0526, 0.2991, 0.1864, 0.0223, 0.09, 0.02, 0.0112, 0.0231, 0.1839, 0.0057, 0.0729, 0.0141, 0.0065]))
Row(prediction=2.0, features=DenseVector([46.0, 43.0, 50.0]), label=9.0, probability=DenseVector([0.0123, 0.0526, 0.2991, 0.1864, 0.0223, 0.09, 0.02, 0.0112, 0.0231, 0.1839, 0.0057, 0.0729, 0.0141, 0.0065]))
Row(prediction=9.0, features=DenseVector([46.0, 43.0, 63.0]), label=9.0, probability=DenseVector([0.019, 0.0765, 0.2159, 0.1481, 0.0406, 0.0604, 0.0186, 0.0086, 0.0376, 0.2691, 0.0118, 0.0608, 0.0312, 0.0019]))
Row(prediction=9.0, features=DenseVector([46.0, 44.0, 34.0]), label=9.0, probability=DenseVector([0.032, 0.1029, 0.0097, 0.0114, 0.015, 0.0002, 0.1852, 0.0014, 0.0039, 0.5715, 0.0047, 0.0372, 0.0243, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 44.0, 38.0]), label=9.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 44.0, 38.0]), label=6.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 45.0, 35.0]), label=9.0, probability=DenseVector([0.032, 0.1029, 0.0097, 0.0114, 0.015, 0.0002, 0.1852, 0.0014, 0.0039, 0.5715, 0.0047, 0.0372, 0.0243, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 45.0, 38.0]), label=9.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 45.0, 40.0]), label=9.0, probability=DenseVector([0.0331, 0.0589, 0.0172, 0.0194, 0.0253, 0.0002, 0.1445, 0.0004, 0.0062, 0.5466, 0.0081, 0.1241, 0.0154, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 45.0, 54.0]), label=9.0, probability=DenseVector([0.0181, 0.0726, 0.2062, 0.1634, 0.0381, 0.0679, 0.0199, 0.0134, 0.0337, 0.2677, 0.0097, 0.0581, 0.0278, 0.0034]))
Row(prediction=9.0, features=DenseVector([46.0, 46.0, 33.0]), label=11.0, probability=DenseVector([0.035, 0.0968, 0.0098, 0.0117, 0.016, 0.0002, 0.2196, 0.0022, 0.0046, 0.5385, 0.0048, 0.0354, 0.0249, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 46.0, 33.0]), label=6.0, probability=DenseVector([0.035, 0.0968, 0.0098, 0.0117, 0.016, 0.0002, 0.2196, 0.0022, 0.0046, 0.5385, 0.0048, 0.0354, 0.0249, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 46.0, 38.0]), label=9.0, probability=DenseVector([0.0367, 0.0615, 0.015, 0.0172, 0.0223, 0.0002, 0.177, 0.001, 0.0085, 0.5313, 0.0085, 0.1035, 0.0168, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 46.0, 40.0]), label=11.0, probability=DenseVector([0.0332, 0.0565, 0.0169, 0.0204, 0.0253, 0.0002, 0.1578, 0.0004, 0.0066, 0.5489, 0.0078, 0.111, 0.0146, 0.0004]))
Row(prediction=9.0, features=DenseVector([46.0, 46.0, 44.0]), label=11.0, probability=DenseVector([0.0126, 0.0346, 0.1468, 0.0862, 0.0288, 0.0128, 0.0789, 0.0004, 0.0069, 0.3677, 0.0031, 0.2003, 0.0195, 0.0014]))
Row(prediction=9.0, features=DenseVector([46.0, 47.0, 32.0]), label=9.0, probability=DenseVector([0.0356, 0.1035, 0.0117, 0.0138, 0.0156, 0.0002, 0.3135, 0.003, 0.0088, 0.4361, 0.0053, 0.0299, 0.0224, 0.0005]))
Row(prediction=9.0, features=DenseVector([46.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.0148, 0.0398, 0.11, 0.0801, 0.0295, 0.0083, 0.1124, 0.0003, 0.0072, 0.3956, 0.0038, 0.1774, 0.0196, 0.0012]))
Row(prediction=9.0, features=DenseVector([46.0, 47.0, 45.0]), label=9.0, probability=DenseVector([0.01, 0.0311, 0.1848, 0.0862, 0.0272, 0.0151, 0.0674, 0.0003, 0.0069, 0.2934, 0.0031, 0.2557, 0.0173, 0.0016]))
Row(prediction=6.0, features=DenseVector([46.0, 48.0, 34.0]), label=6.0, probability=DenseVector([0.0445, 0.0838, 0.0146, 0.0213, 0.0175, 0.0001, 0.5292, 0.0088, 0.0186, 0.2211, 0.0031, 0.0191, 0.0181, 0.0003]))
Row(prediction=6.0, features=DenseVector([46.0, 48.0, 38.0]), label=9.0, probability=DenseVector([0.0397, 0.0545, 0.0201, 0.0253, 0.0201, 0.0001, 0.3862, 0.0061, 0.0231, 0.3482, 0.0041, 0.053, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([46.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.0404, 0.0499, 0.0237, 0.0305, 0.0233, 0.0, 0.3864, 0.006, 0.024, 0.3348, 0.0042, 0.0584, 0.018, 0.0003]))
Row(prediction=9.0, features=DenseVector([46.0, 48.0, 41.0]), label=9.0, probability=DenseVector([0.0325, 0.0449, 0.0442, 0.0566, 0.028, 0.0059, 0.3257, 0.0046, 0.0201, 0.3632, 0.0047, 0.0504, 0.0183, 0.0008]))
Row(prediction=9.0, features=DenseVector([46.0, 48.0, 48.0]), label=9.0, probability=DenseVector([0.009, 0.05, 0.2243, 0.1579, 0.0255, 0.0648, 0.0554, 0.0047, 0.0175, 0.3, 0.006, 0.0669, 0.0171, 0.001]))
Row(prediction=6.0, features=DenseVector([46.0, 49.0, 38.0]), label=11.0, probability=DenseVector([0.0415, 0.0518, 0.0235, 0.0278, 0.0208, 0.0001, 0.4167, 0.0069, 0.028, 0.3265, 0.0046, 0.0329, 0.0184, 0.0003]))
Row(prediction=6.0, features=DenseVector([46.0, 49.0, 38.0]), label=6.0, probability=DenseVector([0.0415, 0.0518, 0.0235, 0.0278, 0.0208, 0.0001, 0.4167, 0.0069, 0.028, 0.3265, 0.0046, 0.0329, 0.0184, 0.0003]))
Row(prediction=9.0, features=DenseVector([46.0, 49.0, 49.0]), label=9.0, probability=DenseVector([0.009, 0.05, 0.2243, 0.1579, 0.0255, 0.0648, 0.0554, 0.0047, 0.0175, 0.3, 0.006, 0.0669, 0.0171, 0.001]))
Row(prediction=6.0, features=DenseVector([46.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0403, 0.0504, 0.0228, 0.0282, 0.02, 0.0001, 0.4278, 0.0069, 0.0281, 0.3206, 0.0046, 0.0315, 0.0184, 0.0003]))
Row(prediction=6.0, features=DenseVector([46.0, 51.0, 28.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 51.0, 45.0]), label=9.0, probability=DenseVector([0.0088, 0.0328, 0.1186, 0.0886, 0.0325, 0.0126, 0.1235, 0.0003, 0.0102, 0.358, 0.0045, 0.1851, 0.0206, 0.004]))
Row(prediction=6.0, features=DenseVector([46.0, 52.0, 27.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 52.0, 30.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 52.0, 36.0]), label=9.0, probability=DenseVector([0.0505, 0.0453, 0.0162, 0.0257, 0.0189, 0.0, 0.6339, 0.0098, 0.0305, 0.1228, 0.0037, 0.0141, 0.0285, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 53.0, 45.0]), label=6.0, probability=DenseVector([0.0094, 0.0318, 0.1208, 0.0949, 0.0312, 0.0126, 0.1251, 0.0003, 0.011, 0.35, 0.0036, 0.1848, 0.0189, 0.0056]))
Row(prediction=6.0, features=DenseVector([46.0, 54.0, 38.0]), label=6.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 54.0, 44.0]), label=9.0, probability=DenseVector([0.0095, 0.0327, 0.1185, 0.0926, 0.0314, 0.0103, 0.1277, 0.0003, 0.011, 0.3654, 0.0036, 0.1723, 0.0193, 0.0054]))
Row(prediction=6.0, features=DenseVector([46.0, 55.0, 40.0]), label=0.0, probability=DenseVector([0.0336, 0.0386, 0.0279, 0.0488, 0.0254, 0.0001, 0.4847, 0.007, 0.0327, 0.2546, 0.0032, 0.0245, 0.0147, 0.004]))
Row(prediction=6.0, features=DenseVector([46.0, 56.0, 31.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 57.0, 39.0]), label=6.0, probability=DenseVector([0.0328, 0.0242, 0.0126, 0.019, 0.0132, 0.0, 0.7706, 0.0063, 0.0239, 0.0701, 0.0035, 0.0061, 0.0176, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 57.0, 47.0]), label=9.0, probability=DenseVector([0.0056, 0.0249, 0.132, 0.1158, 0.0294, 0.0584, 0.0988, 0.002, 0.012, 0.3439, 0.0042, 0.1548, 0.0166, 0.0015]))
Row(prediction=6.0, features=DenseVector([46.0, 58.0, 28.0]), label=6.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 58.0, 35.0]), label=6.0, probability=DenseVector([0.0356, 0.0272, 0.011, 0.016, 0.0128, 0.0, 0.8003, 0.0079, 0.0212, 0.0441, 0.0029, 0.0046, 0.0164, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 59.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 59.0, 43.0]), label=9.0, probability=DenseVector([0.0073, 0.0245, 0.098, 0.0618, 0.0213, 0.0082, 0.2816, 0.0003, 0.0048, 0.3156, 0.0022, 0.1569, 0.0165, 0.001]))
Row(prediction=6.0, features=DenseVector([46.0, 60.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 60.0, 41.0]), label=9.0, probability=DenseVector([0.0249, 0.0242, 0.0332, 0.041, 0.0182, 0.0058, 0.6088, 0.0052, 0.0194, 0.1814, 0.0033, 0.0212, 0.0127, 0.0007]))
Row(prediction=9.0, features=DenseVector([46.0, 60.0, 44.0]), label=9.0, probability=DenseVector([0.0085, 0.0261, 0.1078, 0.0704, 0.023, 0.0101, 0.2241, 0.0004, 0.0052, 0.3356, 0.0027, 0.1657, 0.0191, 0.0014]))
Row(prediction=6.0, features=DenseVector([46.0, 61.0, 40.0]), label=6.0, probability=DenseVector([0.0251, 0.0216, 0.0116, 0.0179, 0.0121, 0.0, 0.7677, 0.0055, 0.0196, 0.0998, 0.0025, 0.0061, 0.0102, 0.0003]))
Row(prediction=9.0, features=DenseVector([46.0, 61.0, 45.0]), label=6.0, probability=DenseVector([0.0081, 0.0263, 0.1101, 0.0746, 0.0236, 0.0124, 0.2007, 0.0003, 0.0066, 0.3324, 0.0026, 0.1782, 0.0225, 0.0016]))
Row(prediction=6.0, features=DenseVector([46.0, 62.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 62.0, 37.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 62.0, 39.0]), label=9.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 62.0, 42.0]), label=9.0, probability=DenseVector([0.0079, 0.0232, 0.098, 0.0619, 0.0213, 0.0082, 0.3089, 0.0003, 0.005, 0.2906, 0.0022, 0.1569, 0.0146, 0.001]))
Row(prediction=6.0, features=DenseVector([46.0, 63.0, 24.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 63.0, 29.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 63.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 63.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 63.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 4.0, 42.0]), label=9.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 7.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 13.0, 53.0]), label=9.0, probability=DenseVector([0.0047, 0.0805, 0.1657, 0.0037, 0.0153, 0.0066, 0.0026, 0.0005, 0.0037, 0.6434, 0.0035, 0.0358, 0.034, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 14.0, 32.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 14.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 17.0, 47.0]), label=9.0, probability=DenseVector([0.0036, 0.0856, 0.4044, 0.0026, 0.0078, 0.0041, 0.0006, 0.0002, 0.0007, 0.3398, 0.0022, 0.1238, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 23.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 41.0]), label=11.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 41.0]), label=11.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 18.0, 43.0]), label=9.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 19.0, 38.0]), label=11.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 19.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 19.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 19.0, 39.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 19.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 19.0, 40.0]), label=11.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 19.0, 41.0]), label=11.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=2.0, features=DenseVector([47.0, 19.0, 45.0]), label=9.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=2.0, features=DenseVector([47.0, 19.0, 46.0]), label=9.0, probability=DenseVector([0.0034, 0.0735, 0.3969, 0.0062, 0.0091, 0.0033, 0.0032, 0.0002, 0.0009, 0.3013, 0.0013, 0.18, 0.0207, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 20.0, 36.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 20.0, 41.0]), label=11.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 20.0, 41.0]), label=11.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=2.0, features=DenseVector([47.0, 20.0, 46.0]), label=9.0, probability=DenseVector([0.0034, 0.0735, 0.3969, 0.0062, 0.0091, 0.0033, 0.0032, 0.0002, 0.0009, 0.3013, 0.0013, 0.18, 0.0207, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 21.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 22.0, 40.0]), label=12.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 23.0, 47.0]), label=11.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 24.0, 35.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 24.0, 36.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 24.0, 43.0]), label=9.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 25.0, 37.0]), label=12.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 25.0, 42.0]), label=9.0, probability=DenseVector([0.0104, 0.072, 0.1582, 0.0177, 0.0166, 0.0008, 0.0288, 0.0003, 0.0038, 0.5422, 0.0021, 0.1162, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 26.0, 31.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 26.0, 34.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 26.0, 37.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 26.0, 39.0]), label=12.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 26.0, 46.0]), label=11.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 26.0, 53.0]), label=9.0, probability=DenseVector([0.03, 0.1424, 0.3756, 0.0145, 0.0405, 0.017, 0.0037, 0.0034, 0.0103, 0.21, 0.0197, 0.1105, 0.0224, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 27.0, 31.0]), label=9.0, probability=DenseVector([0.0118, 0.0862, 0.01, 0.0044, 0.0114, 0.0014, 0.053, 0.0018, 0.0021, 0.714, 0.002, 0.0529, 0.049, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 27.0, 44.0]), label=9.0, probability=DenseVector([0.0084, 0.0731, 0.2639, 0.02, 0.0155, 0.002, 0.0211, 0.0002, 0.0026, 0.4374, 0.0017, 0.1293, 0.0247, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 27.0, 44.0]), label=9.0, probability=DenseVector([0.0084, 0.0731, 0.2639, 0.02, 0.0155, 0.002, 0.0211, 0.0002, 0.0026, 0.4374, 0.0017, 0.1293, 0.0247, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 27.0, 45.0]), label=11.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 46.0]), label=9.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 46.0]), label=9.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 28.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 46.0]), label=11.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 46.0]), label=11.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 47.0]), label=11.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 47.0]), label=11.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 30.0, 39.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 30.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 44.0]), label=11.0, probability=DenseVector([0.0101, 0.0445, 0.1551, 0.0236, 0.0198, 0.0008, 0.0279, 0.0003, 0.0033, 0.2962, 0.0018, 0.3987, 0.0177, 0.0002]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 52.0]), label=9.0, probability=DenseVector([0.0214, 0.1024, 0.5397, 0.0165, 0.0222, 0.0209, 0.0016, 0.008, 0.0116, 0.0929, 0.0133, 0.1399, 0.0092, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 31.0, 41.0]), label=9.0, probability=DenseVector([0.0108, 0.0622, 0.0397, 0.0135, 0.017, 0.001, 0.0286, 0.0003, 0.0035, 0.465, 0.0021, 0.3301, 0.0259, 0.0002]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 43.0]), label=11.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0101, 0.0445, 0.1551, 0.0236, 0.0198, 0.0008, 0.0279, 0.0003, 0.0033, 0.2962, 0.0018, 0.3987, 0.0177, 0.0002]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 31.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 31.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 31.0, 48.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 31.0, 49.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 31.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0101, 0.0445, 0.1551, 0.0236, 0.0198, 0.0008, 0.0279, 0.0003, 0.0033, 0.2962, 0.0018, 0.3987, 0.0177, 0.0002]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 49.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 33.0, 32.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 44.0]), label=9.0, probability=DenseVector([0.0101, 0.0445, 0.1551, 0.0236, 0.0198, 0.0008, 0.0279, 0.0003, 0.0033, 0.2962, 0.0018, 0.3987, 0.0177, 0.0002]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 49.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 34.0, 37.0]), label=9.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 34.0, 42.0]), label=9.0, probability=DenseVector([0.012, 0.0476, 0.1177, 0.0213, 0.0211, 0.0005, 0.0345, 0.0003, 0.0038, 0.3677, 0.0022, 0.3504, 0.0205, 0.0002]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 43.0]), label=9.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 44.0]), label=9.0, probability=DenseVector([0.0111, 0.0439, 0.1625, 0.0322, 0.0208, 0.0028, 0.0296, 0.0003, 0.0034, 0.3029, 0.0023, 0.37, 0.0176, 0.0006]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 35.0, 32.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 35.0, 40.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0111, 0.0439, 0.1625, 0.0322, 0.0208, 0.0028, 0.0296, 0.0003, 0.0034, 0.3029, 0.0023, 0.37, 0.0176, 0.0006]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 45.0]), label=11.0, probability=DenseVector([0.0087, 0.044, 0.2152, 0.0293, 0.0186, 0.0053, 0.0176, 0.0002, 0.0024, 0.2194, 0.0024, 0.4211, 0.0149, 0.0009]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 35.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 35.0, 48.0]), label=11.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 36.0, 28.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 36.0, 42.0]), label=11.0, probability=DenseVector([0.0133, 0.0475, 0.1157, 0.028, 0.0234, 0.0006, 0.0412, 0.0003, 0.0041, 0.3814, 0.0027, 0.3205, 0.0209, 0.0004]))
Row(prediction=11.0, features=DenseVector([47.0, 36.0, 46.0]), label=11.0, probability=DenseVector([0.0086, 0.0428, 0.2322, 0.0357, 0.0181, 0.0169, 0.0145, 0.0003, 0.0025, 0.1874, 0.0024, 0.4238, 0.0137, 0.0012]))
Row(prediction=2.0, features=DenseVector([47.0, 36.0, 49.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 37.0, 40.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 37.0, 43.0]), label=11.0, probability=DenseVector([0.0132, 0.0479, 0.1424, 0.028, 0.0238, 0.0009, 0.0388, 0.0004, 0.0039, 0.3539, 0.0031, 0.3238, 0.0194, 0.0004]))
Row(prediction=11.0, features=DenseVector([47.0, 37.0, 46.0]), label=11.0, probability=DenseVector([0.0086, 0.0428, 0.2322, 0.0357, 0.0181, 0.0169, 0.0145, 0.0003, 0.0025, 0.1874, 0.0024, 0.4238, 0.0137, 0.0012]))
Row(prediction=11.0, features=DenseVector([47.0, 37.0, 46.0]), label=11.0, probability=DenseVector([0.0086, 0.0428, 0.2322, 0.0357, 0.0181, 0.0169, 0.0145, 0.0003, 0.0025, 0.1874, 0.0024, 0.4238, 0.0137, 0.0012]))
Row(prediction=11.0, features=DenseVector([47.0, 38.0, 45.0]), label=11.0, probability=DenseVector([0.0106, 0.0366, 0.2128, 0.0568, 0.0224, 0.0114, 0.0289, 0.0003, 0.0043, 0.2172, 0.0028, 0.3805, 0.0141, 0.0013]))
Row(prediction=11.0, features=DenseVector([47.0, 38.0, 46.0]), label=11.0, probability=DenseVector([0.0095, 0.0351, 0.2309, 0.0565, 0.0196, 0.0225, 0.0197, 0.0003, 0.004, 0.1877, 0.0022, 0.3974, 0.013, 0.0014]))
Row(prediction=11.0, features=DenseVector([47.0, 38.0, 46.0]), label=11.0, probability=DenseVector([0.0095, 0.0351, 0.2309, 0.0565, 0.0196, 0.0225, 0.0197, 0.0003, 0.004, 0.1877, 0.0022, 0.3974, 0.013, 0.0014]))
Row(prediction=9.0, features=DenseVector([47.0, 39.0, 26.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 39.0, 43.0]), label=9.0, probability=DenseVector([0.0148, 0.0402, 0.1516, 0.0581, 0.0291, 0.0125, 0.0541, 0.0005, 0.006, 0.3585, 0.0033, 0.251, 0.0195, 0.0008]))
Row(prediction=9.0, features=DenseVector([47.0, 39.0, 44.0]), label=11.0, probability=DenseVector([0.0139, 0.0361, 0.1696, 0.069, 0.0284, 0.0144, 0.0515, 0.0004, 0.0058, 0.3212, 0.003, 0.2673, 0.0181, 0.0012]))
Row(prediction=11.0, features=DenseVector([47.0, 39.0, 46.0]), label=11.0, probability=DenseVector([0.0104, 0.0346, 0.2404, 0.0659, 0.0234, 0.0282, 0.0303, 0.0004, 0.0045, 0.2082, 0.0026, 0.3353, 0.0143, 0.0016]))
Row(prediction=2.0, features=DenseVector([47.0, 39.0, 47.0]), label=11.0, probability=DenseVector([0.0116, 0.0442, 0.306, 0.0626, 0.0217, 0.0804, 0.0211, 0.0012, 0.0054, 0.1495, 0.0067, 0.2776, 0.0111, 0.0008]))
Row(prediction=2.0, features=DenseVector([47.0, 39.0, 47.0]), label=11.0, probability=DenseVector([0.0116, 0.0442, 0.306, 0.0626, 0.0217, 0.0804, 0.0211, 0.0012, 0.0054, 0.1495, 0.0067, 0.2776, 0.0111, 0.0008]))
Row(prediction=2.0, features=DenseVector([47.0, 39.0, 47.0]), label=11.0, probability=DenseVector([0.0116, 0.0442, 0.306, 0.0626, 0.0217, 0.0804, 0.0211, 0.0012, 0.0054, 0.1495, 0.0067, 0.2776, 0.0111, 0.0008]))
Row(prediction=2.0, features=DenseVector([47.0, 39.0, 48.0]), label=9.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=9.0, features=DenseVector([47.0, 40.0, 23.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 40.0, 33.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 40.0, 41.0]), label=9.0, probability=DenseVector([0.0196, 0.0541, 0.0417, 0.0347, 0.0291, 0.0069, 0.0485, 0.0006, 0.0053, 0.4766, 0.0076, 0.2508, 0.0232, 0.0014]))
Row(prediction=9.0, features=DenseVector([47.0, 40.0, 41.0]), label=6.0, probability=DenseVector([0.0196, 0.0541, 0.0417, 0.0347, 0.0291, 0.0069, 0.0485, 0.0006, 0.0053, 0.4766, 0.0076, 0.2508, 0.0232, 0.0014]))
Row(prediction=9.0, features=DenseVector([47.0, 40.0, 44.0]), label=11.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([47.0, 40.0, 45.0]), label=11.0, probability=DenseVector([0.0184, 0.0346, 0.2233, 0.0785, 0.0331, 0.0182, 0.0458, 0.0005, 0.0067, 0.2495, 0.0094, 0.2618, 0.0166, 0.0035]))
Row(prediction=11.0, features=DenseVector([47.0, 40.0, 46.0]), label=11.0, probability=DenseVector([0.0126, 0.036, 0.2499, 0.0938, 0.0233, 0.0417, 0.0309, 0.0061, 0.0128, 0.1952, 0.003, 0.2722, 0.0153, 0.0069]))
Row(prediction=11.0, features=DenseVector([47.0, 40.0, 46.0]), label=11.0, probability=DenseVector([0.0126, 0.036, 0.2499, 0.0938, 0.0233, 0.0417, 0.0309, 0.0061, 0.0128, 0.1952, 0.003, 0.2722, 0.0153, 0.0069]))
Row(prediction=9.0, features=DenseVector([47.0, 41.0, 29.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 41.0, 30.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 41.0, 30.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 41.0, 36.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 41.0, 38.0]), label=9.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 42.0, 37.0]), label=9.0, probability=DenseVector([0.0183, 0.0595, 0.0094, 0.0064, 0.0185, 0.0004, 0.0539, 0.0005, 0.0025, 0.5074, 0.0057, 0.2964, 0.0209, 0.0001]))
Row(prediction=11.0, features=DenseVector([47.0, 42.0, 45.0]), label=11.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([47.0, 42.0, 46.0]), label=9.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=11.0, features=DenseVector([47.0, 42.0, 46.0]), label=11.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=2.0, features=DenseVector([47.0, 42.0, 49.0]), label=11.0, probability=DenseVector([0.0131, 0.0528, 0.3221, 0.1785, 0.0227, 0.0881, 0.0173, 0.0113, 0.0226, 0.17, 0.006, 0.075, 0.014, 0.0066]))
Row(prediction=9.0, features=DenseVector([47.0, 43.0, 37.0]), label=9.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([47.0, 43.0, 37.0]), label=9.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([47.0, 43.0, 40.0]), label=9.0, probability=DenseVector([0.0331, 0.0589, 0.0172, 0.0194, 0.0253, 0.0002, 0.1445, 0.0004, 0.0062, 0.5466, 0.0081, 0.1241, 0.0154, 0.0004]))
Row(prediction=9.0, features=DenseVector([47.0, 43.0, 40.0]), label=9.0, probability=DenseVector([0.0331, 0.0589, 0.0172, 0.0194, 0.0253, 0.0002, 0.1445, 0.0004, 0.0062, 0.5466, 0.0081, 0.1241, 0.0154, 0.0004]))
Row(prediction=9.0, features=DenseVector([47.0, 43.0, 41.0]), label=9.0, probability=DenseVector([0.0345, 0.0553, 0.0463, 0.0427, 0.0346, 0.0066, 0.1274, 0.0006, 0.0072, 0.4992, 0.0119, 0.1151, 0.0168, 0.0018]))
Row(prediction=9.0, features=DenseVector([47.0, 43.0, 44.0]), label=11.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([47.0, 43.0, 45.0]), label=11.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([47.0, 43.0, 45.0]), label=11.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=9.0, features=DenseVector([47.0, 44.0, 41.0]), label=9.0, probability=DenseVector([0.0345, 0.0553, 0.0463, 0.0427, 0.0346, 0.0066, 0.1274, 0.0006, 0.0072, 0.4992, 0.0119, 0.1151, 0.0168, 0.0018]))
Row(prediction=11.0, features=DenseVector([47.0, 45.0, 45.0]), label=9.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=9.0, features=DenseVector([47.0, 46.0, 41.0]), label=9.0, probability=DenseVector([0.0302, 0.0517, 0.0398, 0.0498, 0.031, 0.0061, 0.1512, 0.0004, 0.0067, 0.5105, 0.0089, 0.0976, 0.0153, 0.0009]))
Row(prediction=9.0, features=DenseVector([47.0, 46.0, 43.0]), label=9.0, probability=DenseVector([0.013, 0.0383, 0.1263, 0.0838, 0.0291, 0.0107, 0.0976, 0.0003, 0.0071, 0.3881, 0.0033, 0.1822, 0.0191, 0.001]))
Row(prediction=2.0, features=DenseVector([47.0, 47.0, 47.0]), label=9.0, probability=DenseVector([0.0078, 0.0355, 0.2333, 0.119, 0.0214, 0.0615, 0.0526, 0.0021, 0.0091, 0.2273, 0.0034, 0.2121, 0.0135, 0.0013]))
Row(prediction=6.0, features=DenseVector([47.0, 48.0, 33.0]), label=9.0, probability=DenseVector([0.0445, 0.0838, 0.0146, 0.0213, 0.0175, 0.0001, 0.5292, 0.0088, 0.0186, 0.2211, 0.0031, 0.0191, 0.0181, 0.0003]))
Row(prediction=6.0, features=DenseVector([47.0, 48.0, 34.0]), label=9.0, probability=DenseVector([0.0445, 0.0838, 0.0146, 0.0213, 0.0175, 0.0001, 0.5292, 0.0088, 0.0186, 0.2211, 0.0031, 0.0191, 0.0181, 0.0003]))
Row(prediction=6.0, features=DenseVector([47.0, 48.0, 35.0]), label=9.0, probability=DenseVector([0.0451, 0.0603, 0.0172, 0.0231, 0.0175, 0.0001, 0.5198, 0.0088, 0.0219, 0.2437, 0.0036, 0.0208, 0.0176, 0.0003]))
Row(prediction=6.0, features=DenseVector([47.0, 48.0, 36.0]), label=6.0, probability=DenseVector([0.0443, 0.0609, 0.0187, 0.025, 0.0179, 0.0001, 0.4829, 0.0078, 0.0239, 0.2717, 0.0043, 0.0242, 0.018, 0.0003]))
Row(prediction=6.0, features=DenseVector([47.0, 48.0, 38.0]), label=6.0, probability=DenseVector([0.0397, 0.0545, 0.0201, 0.0253, 0.0201, 0.0001, 0.3862, 0.0061, 0.0231, 0.3482, 0.0041, 0.053, 0.0193, 0.0003]))
Row(prediction=6.0, features=DenseVector([47.0, 48.0, 39.0]), label=6.0, probability=DenseVector([0.0404, 0.0499, 0.0237, 0.0305, 0.0233, 0.0, 0.3864, 0.006, 0.024, 0.3348, 0.0042, 0.0584, 0.018, 0.0003]))
Row(prediction=9.0, features=DenseVector([47.0, 48.0, 41.0]), label=11.0, probability=DenseVector([0.0325, 0.0449, 0.0442, 0.0566, 0.028, 0.0059, 0.3257, 0.0046, 0.0201, 0.3632, 0.0047, 0.0504, 0.0183, 0.0008]))
Row(prediction=6.0, features=DenseVector([47.0, 49.0, 30.0]), label=9.0, probability=DenseVector([0.0449, 0.0826, 0.0146, 0.0213, 0.0178, 0.0001, 0.5453, 0.0088, 0.0186, 0.2038, 0.0031, 0.0189, 0.02, 0.0003]))
Row(prediction=9.0, features=DenseVector([47.0, 49.0, 41.0]), label=9.0, probability=DenseVector([0.0325, 0.0449, 0.0442, 0.0566, 0.028, 0.0059, 0.3257, 0.0046, 0.0201, 0.3632, 0.0047, 0.0504, 0.0183, 0.0008]))
Row(prediction=9.0, features=DenseVector([47.0, 49.0, 41.0]), label=9.0, probability=DenseVector([0.0325, 0.0449, 0.0442, 0.0566, 0.028, 0.0059, 0.3257, 0.0046, 0.0201, 0.3632, 0.0047, 0.0504, 0.0183, 0.0008]))
Row(prediction=6.0, features=DenseVector([47.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0403, 0.0504, 0.0228, 0.0282, 0.02, 0.0001, 0.4278, 0.0069, 0.0281, 0.3206, 0.0046, 0.0315, 0.0184, 0.0003]))
Row(prediction=6.0, features=DenseVector([47.0, 50.0, 39.0]), label=6.0, probability=DenseVector([0.0411, 0.0458, 0.0264, 0.0334, 0.0231, 0.0, 0.428, 0.0068, 0.029, 0.3072, 0.0047, 0.037, 0.0171, 0.0003]))
Row(prediction=9.0, features=DenseVector([47.0, 51.0, 45.0]), label=9.0, probability=DenseVector([0.0088, 0.0328, 0.1186, 0.0886, 0.0325, 0.0126, 0.1235, 0.0003, 0.0102, 0.358, 0.0045, 0.1851, 0.0206, 0.004]))
Row(prediction=9.0, features=DenseVector([47.0, 51.0, 46.0]), label=6.0, probability=DenseVector([0.0077, 0.0313, 0.1367, 0.0883, 0.0296, 0.0237, 0.1143, 0.0003, 0.0099, 0.3285, 0.0039, 0.202, 0.0195, 0.0041]))
Row(prediction=6.0, features=DenseVector([47.0, 52.0, 26.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 52.0, 33.0]), label=9.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 52.0, 37.0]), label=6.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 52.0, 38.0]), label=9.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 53.0, 33.0]), label=9.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 53.0, 53.0]), label=9.0, probability=DenseVector([0.0103, 0.0557, 0.0652, 0.1177, 0.0479, 0.0348, 0.0718, 0.0053, 0.0303, 0.4926, 0.0107, 0.0166, 0.0382, 0.0029]))
Row(prediction=6.0, features=DenseVector([47.0, 54.0, 33.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 55.0, 49.0]), label=9.0, probability=DenseVector([0.0066, 0.043, 0.1138, 0.1631, 0.0338, 0.0614, 0.0873, 0.0046, 0.0211, 0.4081, 0.0069, 0.0241, 0.0229, 0.0033]))
Row(prediction=6.0, features=DenseVector([47.0, 56.0, 25.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 56.0, 31.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 56.0, 39.0]), label=6.0, probability=DenseVector([0.0418, 0.0333, 0.0151, 0.0235, 0.0159, 0.0, 0.6978, 0.0079, 0.0285, 0.0979, 0.0036, 0.0094, 0.0253, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 57.0, 36.0]), label=6.0, probability=DenseVector([0.0353, 0.0266, 0.0125, 0.0188, 0.0127, 0.0, 0.7853, 0.0071, 0.0241, 0.0514, 0.0035, 0.0053, 0.0173, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 57.0, 39.0]), label=6.0, probability=DenseVector([0.0328, 0.0242, 0.0126, 0.019, 0.0132, 0.0, 0.7706, 0.0063, 0.0239, 0.0701, 0.0035, 0.0061, 0.0176, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 58.0, 44.0]), label=9.0, probability=DenseVector([0.0086, 0.0297, 0.1144, 0.0804, 0.029, 0.0103, 0.1244, 0.0003, 0.008, 0.4006, 0.003, 0.1697, 0.0194, 0.0021]))
Row(prediction=9.0, features=DenseVector([47.0, 58.0, 49.0]), label=9.0, probability=DenseVector([0.0071, 0.0397, 0.1116, 0.1528, 0.034, 0.0618, 0.0859, 0.0051, 0.0222, 0.4266, 0.0064, 0.0224, 0.0232, 0.0012]))
Row(prediction=6.0, features=DenseVector([47.0, 59.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 59.0, 41.0]), label=6.0, probability=DenseVector([0.0249, 0.0242, 0.0332, 0.041, 0.0182, 0.0058, 0.6088, 0.0052, 0.0194, 0.1814, 0.0033, 0.0212, 0.0127, 0.0007]))
Row(prediction=9.0, features=DenseVector([47.0, 59.0, 49.0]), label=9.0, probability=DenseVector([0.0062, 0.0389, 0.1083, 0.1513, 0.0286, 0.0612, 0.1155, 0.005, 0.0167, 0.4167, 0.0058, 0.0213, 0.0237, 0.001]))
Row(prediction=6.0, features=DenseVector([47.0, 60.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 60.0, 41.0]), label=9.0, probability=DenseVector([0.0249, 0.0242, 0.0332, 0.041, 0.0182, 0.0058, 0.6088, 0.0052, 0.0194, 0.1814, 0.0033, 0.0212, 0.0127, 0.0007]))
Row(prediction=9.0, features=DenseVector([47.0, 60.0, 47.0]), label=6.0, probability=DenseVector([0.0056, 0.0278, 0.1299, 0.1129, 0.0246, 0.0583, 0.1128, 0.0024, 0.0084, 0.3392, 0.0035, 0.1537, 0.0196, 0.0013]))
Row(prediction=6.0, features=DenseVector([47.0, 61.0, 12.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 61.0, 23.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 61.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 61.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 61.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 61.0, 46.0]), label=9.0, probability=DenseVector([0.007, 0.0248, 0.1282, 0.0743, 0.0208, 0.0236, 0.1915, 0.0003, 0.0063, 0.3029, 0.002, 0.1951, 0.0214, 0.0017]))
Row(prediction=9.0, features=DenseVector([47.0, 61.0, 47.0]), label=9.0, probability=DenseVector([0.0056, 0.0278, 0.1299, 0.1129, 0.0246, 0.0583, 0.1128, 0.0024, 0.0084, 0.3392, 0.0035, 0.1537, 0.0196, 0.0013]))
Row(prediction=6.0, features=DenseVector([47.0, 62.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 62.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 62.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 62.0, 39.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 62.0, 48.0]), label=9.0, probability=DenseVector([0.0062, 0.0389, 0.1083, 0.1513, 0.0286, 0.0612, 0.1155, 0.005, 0.0167, 0.4167, 0.0058, 0.0213, 0.0237, 0.001]))
Row(prediction=9.0, features=DenseVector([47.0, 62.0, 51.0]), label=6.0, probability=DenseVector([0.0062, 0.0389, 0.1083, 0.1513, 0.0286, 0.0612, 0.1155, 0.005, 0.0167, 0.4167, 0.0058, 0.0213, 0.0237, 0.001]))
Row(prediction=6.0, features=DenseVector([47.0, 63.0, 24.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 63.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 63.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 63.0, 37.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([47.0, 63.0, 41.0]), label=6.0, probability=DenseVector([0.0249, 0.0242, 0.0332, 0.041, 0.0182, 0.0058, 0.6088, 0.0052, 0.0194, 0.1814, 0.0033, 0.0212, 0.0127, 0.0007]))
Row(prediction=6.0, features=DenseVector([47.0, 63.0, 42.0]), label=6.0, probability=DenseVector([0.0079, 0.0232, 0.098, 0.0619, 0.0213, 0.0082, 0.3089, 0.0003, 0.005, 0.2906, 0.0022, 0.1569, 0.0146, 0.001]))
Row(prediction=9.0, features=DenseVector([47.0, 63.0, 45.0]), label=6.0, probability=DenseVector([0.0081, 0.0263, 0.1101, 0.0746, 0.0236, 0.0124, 0.2007, 0.0003, 0.0066, 0.3324, 0.0026, 0.1782, 0.0225, 0.0016]))
Row(prediction=9.0, features=DenseVector([47.0, 63.0, 53.0]), label=6.0, probability=DenseVector([0.0098, 0.0516, 0.0597, 0.1059, 0.0427, 0.0346, 0.1, 0.0056, 0.026, 0.5012, 0.0096, 0.0137, 0.039, 0.0006]))
Row(prediction=9.0, features=DenseVector([48.0, 0.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 0.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 1.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 6.0, 55.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 15.0, 27.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 15.0, 56.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 16.0, 34.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 16.0, 41.0]), label=12.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 17.0, 34.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 17.0, 35.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 17.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 18.0, 36.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 18.0, 40.0]), label=11.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 19.0, 35.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 20.0, 34.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 20.0, 40.0]), label=11.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 20.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 21.0, 40.0]), label=11.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 21.0, 44.0]), label=12.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 22.0, 34.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 23.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 24.0, 34.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 24.0, 35.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 24.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 25.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 25.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 25.0, 57.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 26.0, 51.0]), label=9.0, probability=DenseVector([0.0036, 0.0955, 0.1366, 0.0024, 0.0158, 0.0024, 0.0058, 0.0004, 0.001, 0.6072, 0.0028, 0.0985, 0.0279, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 27.0, 34.0]), label=9.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 27.0, 45.0]), label=11.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 28.0, 35.0]), label=9.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 28.0, 38.0]), label=9.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 28.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1184, 0.0556, 0.0028, 0.0096, 0.0003, 0.002, 0.0, 0.0004, 0.5629, 0.0003, 0.2216, 0.0253, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 28.0, 45.0]), label=11.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 28.0, 48.0]), label=9.0, probability=DenseVector([0.0038, 0.0999, 0.1424, 0.0026, 0.0142, 0.0024, 0.0043, 0.0004, 0.001, 0.5315, 0.0029, 0.1673, 0.0275, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 32.0]), label=9.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 44.0]), label=11.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 44.0]), label=11.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 44.0]), label=11.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 46.0]), label=11.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 46.0]), label=11.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 46.0]), label=11.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 46.0]), label=11.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 46.0]), label=11.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 47.0]), label=11.0, probability=DenseVector([0.0004, 0.1109, 0.0651, 0.0027, 0.0104, 0.0002, 0.0027, 0.0, 0.0004, 0.5393, 0.0003, 0.2432, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 49.0]), label=9.0, probability=DenseVector([0.0036, 0.0966, 0.1376, 0.0024, 0.017, 0.0024, 0.0058, 0.0004, 0.001, 0.6002, 0.0028, 0.0994, 0.0308, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 43.0]), label=11.0, probability=DenseVector([0.0016, 0.0459, 0.0462, 0.0014, 0.0139, 0.0, 0.0091, 0.0002, 0.0004, 0.1523, 0.0003, 0.722, 0.0068, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 31.0, 36.0]), label=9.0, probability=DenseVector([0.0104, 0.0782, 0.0059, 0.003, 0.0143, 0.0009, 0.0509, 0.0015, 0.001, 0.634, 0.0017, 0.1536, 0.0444, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 37.0]), label=9.0, probability=DenseVector([0.0028, 0.0476, 0.0096, 0.0009, 0.0149, 0.0009, 0.033, 0.0001, 0.0008, 0.3872, 0.0016, 0.4795, 0.0211, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 43.0]), label=11.0, probability=DenseVector([0.0016, 0.0459, 0.0462, 0.0014, 0.0139, 0.0, 0.0091, 0.0002, 0.0004, 0.1523, 0.0003, 0.722, 0.0068, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 31.0, 49.0]), label=11.0, probability=DenseVector([0.0036, 0.1219, 0.1523, 0.0049, 0.0366, 0.0024, 0.018, 0.0004, 0.0027, 0.4117, 0.0027, 0.207, 0.0358, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 32.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 32.0, 49.0]), label=11.0, probability=DenseVector([0.0036, 0.1219, 0.1523, 0.0049, 0.0366, 0.0024, 0.018, 0.0004, 0.0027, 0.4117, 0.0027, 0.207, 0.0358, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 32.0, 49.0]), label=11.0, probability=DenseVector([0.0036, 0.1219, 0.1523, 0.0049, 0.0366, 0.0024, 0.018, 0.0004, 0.0027, 0.4117, 0.0027, 0.207, 0.0358, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 32.0, 51.0]), label=9.0, probability=DenseVector([0.0036, 0.1273, 0.1509, 0.0046, 0.0379, 0.0024, 0.0211, 0.0004, 0.0033, 0.4101, 0.0027, 0.198, 0.0376, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 41.0]), label=9.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 41.0]), label=9.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 48.0]), label=9.0, probability=DenseVector([0.004, 0.0722, 0.1535, 0.0025, 0.0171, 0.0024, 0.0128, 0.0004, 0.0017, 0.2447, 0.0028, 0.4742, 0.0116, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0722, 0.1535, 0.0025, 0.0171, 0.0024, 0.0128, 0.0004, 0.0017, 0.2447, 0.0028, 0.4742, 0.0116, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 36.0, 50.0]), label=9.0, probability=DenseVector([0.0036, 0.1276, 0.1458, 0.0048, 0.0384, 0.0024, 0.0259, 0.0004, 0.004, 0.4305, 0.0027, 0.1765, 0.0374, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 37.0, 25.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 37.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 37.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 37.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 37.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 37.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 37.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 38.0, 31.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 39.0, 39.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 39.0, 44.0]), label=11.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([48.0, 39.0, 44.0]), label=11.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([48.0, 39.0, 45.0]), label=11.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([48.0, 40.0, 43.0]), label=0.0, probability=DenseVector([0.0098, 0.0342, 0.0633, 0.0236, 0.0372, 0.0068, 0.0531, 0.0004, 0.0036, 0.2221, 0.0069, 0.5276, 0.0093, 0.0022]))
Row(prediction=11.0, features=DenseVector([48.0, 40.0, 44.0]), label=11.0, probability=DenseVector([0.0096, 0.0358, 0.0638, 0.0235, 0.0362, 0.0068, 0.0511, 0.0004, 0.0035, 0.2179, 0.0069, 0.5333, 0.009, 0.0022]))
Row(prediction=11.0, features=DenseVector([48.0, 40.0, 45.0]), label=11.0, probability=DenseVector([0.0096, 0.0358, 0.0638, 0.0235, 0.0362, 0.0068, 0.0511, 0.0004, 0.0035, 0.2179, 0.0069, 0.5333, 0.009, 0.0022]))
Row(prediction=11.0, features=DenseVector([48.0, 40.0, 45.0]), label=11.0, probability=DenseVector([0.0096, 0.0358, 0.0638, 0.0235, 0.0362, 0.0068, 0.0511, 0.0004, 0.0035, 0.2179, 0.0069, 0.5333, 0.009, 0.0022]))
Row(prediction=11.0, features=DenseVector([48.0, 40.0, 45.0]), label=9.0, probability=DenseVector([0.0096, 0.0358, 0.0638, 0.0235, 0.0362, 0.0068, 0.0511, 0.0004, 0.0035, 0.2179, 0.0069, 0.5333, 0.009, 0.0022]))
Row(prediction=9.0, features=DenseVector([48.0, 40.0, 56.0]), label=11.0, probability=DenseVector([0.0127, 0.1185, 0.0842, 0.0652, 0.0582, 0.0221, 0.0371, 0.0062, 0.0314, 0.4235, 0.0075, 0.0823, 0.0498, 0.0013]))
Row(prediction=11.0, features=DenseVector([48.0, 41.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 41.0, 41.0]), label=9.0, probability=DenseVector([0.0096, 0.0288, 0.0267, 0.0157, 0.0319, 0.0062, 0.0563, 0.0004, 0.0024, 0.3265, 0.0055, 0.48, 0.0089, 0.0011]))
Row(prediction=11.0, features=DenseVector([48.0, 41.0, 44.0]), label=11.0, probability=DenseVector([0.0094, 0.0367, 0.0602, 0.0244, 0.0483, 0.0068, 0.0873, 0.0004, 0.0041, 0.3159, 0.0069, 0.3863, 0.0112, 0.0022]))
Row(prediction=11.0, features=DenseVector([48.0, 41.0, 45.0]), label=11.0, probability=DenseVector([0.0094, 0.0367, 0.0602, 0.0244, 0.0483, 0.0068, 0.0873, 0.0004, 0.0041, 0.3159, 0.0069, 0.3863, 0.0112, 0.0022]))
Row(prediction=9.0, features=DenseVector([48.0, 42.0, 24.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 42.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 42.0, 45.0]), label=9.0, probability=DenseVector([0.0094, 0.0367, 0.0602, 0.0244, 0.0483, 0.0068, 0.0873, 0.0004, 0.0041, 0.3159, 0.0069, 0.3863, 0.0112, 0.0022]))
Row(prediction=11.0, features=DenseVector([48.0, 42.0, 46.0]), label=11.0, probability=DenseVector([0.0047, 0.0396, 0.0687, 0.04, 0.0413, 0.0192, 0.0816, 0.0059, 0.0105, 0.2911, 0.0011, 0.3798, 0.011, 0.0055]))
Row(prediction=9.0, features=DenseVector([48.0, 43.0, 33.0]), label=9.0, probability=DenseVector([0.0266, 0.111, 0.0025, 0.0042, 0.014, 0.0006, 0.1567, 0.0024, 0.0018, 0.5939, 0.002, 0.0569, 0.0274, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 43.0, 36.0]), label=9.0, probability=DenseVector([0.0243, 0.1005, 0.0032, 0.004, 0.015, 0.0003, 0.1449, 0.0019, 0.0017, 0.5598, 0.0019, 0.1163, 0.026, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 43.0, 40.0]), label=6.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 43.0, 41.0]), label=9.0, probability=DenseVector([0.0193, 0.0361, 0.0277, 0.0182, 0.037, 0.0062, 0.1297, 0.0004, 0.0034, 0.4262, 0.0081, 0.2798, 0.0068, 0.0012]))
Row(prediction=9.0, features=DenseVector([48.0, 44.0, 38.0]), label=9.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 44.0, 39.0]), label=6.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 44.0, 40.0]), label=9.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 44.0, 47.0]), label=11.0, probability=DenseVector([0.0047, 0.0413, 0.0661, 0.0403, 0.0439, 0.0192, 0.1065, 0.0059, 0.0104, 0.329, 0.001, 0.315, 0.0112, 0.0055]))
Row(prediction=9.0, features=DenseVector([48.0, 45.0, 37.0]), label=9.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 45.0, 38.0]), label=11.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 46.0, 38.0]), label=11.0, probability=DenseVector([0.0246, 0.0385, 0.0103, 0.0085, 0.0235, 0.0001, 0.1551, 0.0008, 0.0061, 0.4178, 0.0058, 0.3005, 0.0084, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 46.0, 50.0]), label=9.0, probability=DenseVector([0.0017, 0.0949, 0.0544, 0.0547, 0.0499, 0.0097, 0.0866, 0.0016, 0.0102, 0.5365, 0.0008, 0.0609, 0.0376, 0.0005]))
Row(prediction=9.0, features=DenseVector([48.0, 47.0, 35.0]), label=9.0, probability=DenseVector([0.0312, 0.0892, 0.0069, 0.0089, 0.0137, 0.0005, 0.3696, 0.0045, 0.0103, 0.4081, 0.003, 0.0358, 0.0181, 0.0002]))
Row(prediction=9.0, features=DenseVector([48.0, 47.0, 42.0]), label=6.0, probability=DenseVector([0.0024, 0.035, 0.0494, 0.0295, 0.0461, 0.0066, 0.1282, 0.0002, 0.0032, 0.38, 0.0008, 0.3073, 0.0109, 0.0003]))
Row(prediction=6.0, features=DenseVector([48.0, 49.0, 23.0]), label=6.0, probability=DenseVector([0.0393, 0.0981, 0.0083, 0.0142, 0.0152, 0.0001, 0.6304, 0.0088, 0.017, 0.1409, 0.0021, 0.0112, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 49.0, 34.0]), label=9.0, probability=DenseVector([0.0404, 0.0769, 0.0083, 0.0144, 0.0155, 0.0001, 0.6354, 0.0088, 0.017, 0.1543, 0.0021, 0.0128, 0.0138, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 49.0, 42.0]), label=9.0, probability=DenseVector([0.0024, 0.035, 0.0494, 0.0295, 0.0461, 0.0066, 0.1282, 0.0002, 0.0032, 0.38, 0.0008, 0.3073, 0.0109, 0.0003]))
Row(prediction=6.0, features=DenseVector([48.0, 50.0, 29.0]), label=9.0, probability=DenseVector([0.0398, 0.0737, 0.0083, 0.0142, 0.0154, 0.0001, 0.6568, 0.0088, 0.0172, 0.1382, 0.0021, 0.0114, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0345, 0.0383, 0.0198, 0.0214, 0.0232, 0.0, 0.4229, 0.0068, 0.0266, 0.2612, 0.0036, 0.1287, 0.0129, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 51.0, 38.0]), label=9.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 51.0, 51.0]), label=9.0, probability=DenseVector([0.0034, 0.0726, 0.0358, 0.0516, 0.0519, 0.0025, 0.1166, 0.001, 0.0157, 0.5588, 0.0048, 0.0493, 0.0341, 0.002]))
Row(prediction=6.0, features=DenseVector([48.0, 52.0, 41.0]), label=6.0, probability=DenseVector([0.0224, 0.0345, 0.0429, 0.0486, 0.0332, 0.0058, 0.3701, 0.0046, 0.0352, 0.3387, 0.0035, 0.0434, 0.016, 0.001]))
Row(prediction=9.0, features=DenseVector([48.0, 52.0, 49.0]), label=9.0, probability=DenseVector([0.0034, 0.0672, 0.0371, 0.0518, 0.0506, 0.0025, 0.1136, 0.001, 0.0151, 0.5603, 0.0048, 0.0583, 0.0324, 0.002]))
Row(prediction=6.0, features=DenseVector([48.0, 53.0, 30.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 53.0, 38.0]), label=9.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 53.0, 39.0]), label=9.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 53.0, 48.0]), label=9.0, probability=DenseVector([0.0035, 0.0621, 0.04, 0.0544, 0.0496, 0.0026, 0.1119, 0.001, 0.0159, 0.5385, 0.0044, 0.0879, 0.0258, 0.0024]))
Row(prediction=6.0, features=DenseVector([48.0, 55.0, 40.0]), label=9.0, probability=DenseVector([0.0336, 0.0386, 0.0279, 0.0488, 0.0254, 0.0001, 0.4847, 0.007, 0.0327, 0.2546, 0.0032, 0.0245, 0.0147, 0.004]))
Row(prediction=6.0, features=DenseVector([48.0, 56.0, 39.0]), label=6.0, probability=DenseVector([0.0418, 0.0333, 0.0151, 0.0235, 0.0159, 0.0, 0.6978, 0.0079, 0.0285, 0.0979, 0.0036, 0.0094, 0.0253, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 57.0, 39.0]), label=6.0, probability=DenseVector([0.0328, 0.0242, 0.0126, 0.019, 0.0132, 0.0, 0.7706, 0.0063, 0.0239, 0.0701, 0.0035, 0.0061, 0.0176, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 57.0, 39.0]), label=9.0, probability=DenseVector([0.0328, 0.0242, 0.0126, 0.019, 0.0132, 0.0, 0.7706, 0.0063, 0.0239, 0.0701, 0.0035, 0.0061, 0.0176, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 59.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 59.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 59.0, 37.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 61.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 61.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 61.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 61.0, 40.0]), label=6.0, probability=DenseVector([0.0251, 0.0216, 0.0116, 0.0179, 0.0121, 0.0, 0.7677, 0.0055, 0.0196, 0.0998, 0.0025, 0.0061, 0.0102, 0.0003]))
Row(prediction=6.0, features=DenseVector([48.0, 61.0, 41.0]), label=9.0, probability=DenseVector([0.0227, 0.0238, 0.0262, 0.0307, 0.0203, 0.0057, 0.613, 0.0052, 0.019, 0.1936, 0.0026, 0.0251, 0.0117, 0.0004]))
Row(prediction=6.0, features=DenseVector([48.0, 62.0, 29.0]), label=9.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 62.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 62.0, 37.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 63.0, 18.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 63.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 63.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 63.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 63.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 63.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 63.0, 39.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 63.0, 39.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 63.0, 41.0]), label=6.0, probability=DenseVector([0.0227, 0.0238, 0.0262, 0.0307, 0.0203, 0.0057, 0.613, 0.0052, 0.019, 0.1936, 0.0026, 0.0251, 0.0117, 0.0004]))
Row(prediction=9.0, features=DenseVector([48.0, 63.0, 46.0]), label=6.0, probability=DenseVector([0.0018, 0.0281, 0.0428, 0.0306, 0.0284, 0.0066, 0.2892, 0.0002, 0.0041, 0.362, 0.0008, 0.1847, 0.0204, 0.0003]))
Row(prediction=9.0, features=DenseVector([48.0, 63.0, 51.0]), label=6.0, probability=DenseVector([0.003, 0.0665, 0.0296, 0.0431, 0.0394, 0.0023, 0.1733, 0.0013, 0.0114, 0.5536, 0.0032, 0.0374, 0.0358, 0.0001]))
Row(prediction=9.0, features=DenseVector([49.0, 0.0, 21.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 0.0, 31.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 8.0, 57.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 9.0, 25.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 11.0, 37.0]), label=9.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 12.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 18.0, 35.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 19.0, 31.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 19.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 21.0, 33.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 21.0, 40.0]), label=11.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 21.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 21.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 22.0, 40.0]), label=11.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 22.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 23.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 24.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 24.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 25.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 25.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 26.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 26.0, 42.0]), label=11.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 27.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 27.0, 44.0]), label=11.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 28.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 28.0, 43.0]), label=11.0, probability=DenseVector([0.0007, 0.1184, 0.0556, 0.0028, 0.0096, 0.0003, 0.002, 0.0, 0.0004, 0.5629, 0.0003, 0.2216, 0.0253, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 28.0, 43.0]), label=11.0, probability=DenseVector([0.0007, 0.1184, 0.0556, 0.0028, 0.0096, 0.0003, 0.002, 0.0, 0.0004, 0.5629, 0.0003, 0.2216, 0.0253, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 28.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 29.0, 46.0]), label=11.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0375, 0.0211, 0.0006, 0.0135, 0.0005, 0.0121, 0.0001, 0.0005, 0.2651, 0.0006, 0.6343, 0.012, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 31.0, 33.0]), label=9.0, probability=DenseVector([0.0127, 0.0886, 0.0052, 0.0032, 0.0133, 0.0012, 0.0627, 0.0021, 0.0011, 0.6681, 0.0018, 0.0942, 0.0458, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 31.0, 35.0]), label=9.0, probability=DenseVector([0.0127, 0.0886, 0.0052, 0.0032, 0.0133, 0.0012, 0.0627, 0.0021, 0.0011, 0.6681, 0.0018, 0.0942, 0.0458, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 40.0]), label=9.0, probability=DenseVector([0.0013, 0.0419, 0.0093, 0.0005, 0.0124, 0.0004, 0.0151, 0.0, 0.0009, 0.3403, 0.0007, 0.5613, 0.0159, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 32.0, 51.0]), label=11.0, probability=DenseVector([0.0036, 0.1273, 0.1509, 0.0046, 0.0379, 0.0024, 0.0211, 0.0004, 0.0033, 0.4101, 0.0027, 0.198, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 33.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 34.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 35.0, 31.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 39.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 36.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 37.0, 31.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 42.0]), label=9.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 38.0, 31.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 48.0]), label=11.0, probability=DenseVector([0.0098, 0.0519, 0.1949, 0.0328, 0.0196, 0.0419, 0.0143, 0.0056, 0.0063, 0.191, 0.0044, 0.4177, 0.0094, 0.0002]))
Row(prediction=11.0, features=DenseVector([49.0, 39.0, 42.0]), label=11.0, probability=DenseVector([0.0027, 0.0318, 0.0589, 0.0109, 0.0225, 0.0057, 0.0307, 0.0002, 0.0013, 0.1756, 0.0007, 0.6513, 0.0075, 0.0002]))
Row(prediction=11.0, features=DenseVector([49.0, 39.0, 43.0]), label=11.0, probability=DenseVector([0.0026, 0.0335, 0.0601, 0.0109, 0.0222, 0.0057, 0.0294, 0.0002, 0.0013, 0.171, 0.0007, 0.6547, 0.0075, 0.0002]))
Row(prediction=11.0, features=DenseVector([49.0, 39.0, 44.0]), label=11.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([49.0, 39.0, 44.0]), label=11.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([49.0, 39.0, 44.0]), label=9.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([49.0, 39.0, 45.0]), label=11.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=9.0, features=DenseVector([49.0, 40.0, 32.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 40.0, 32.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 40.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 40.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 40.0, 43.0]), label=9.0, probability=DenseVector([0.0098, 0.0342, 0.0633, 0.0236, 0.0372, 0.0068, 0.0531, 0.0004, 0.0036, 0.2221, 0.0069, 0.5276, 0.0093, 0.0022]))
Row(prediction=11.0, features=DenseVector([49.0, 40.0, 45.0]), label=11.0, probability=DenseVector([0.0096, 0.0358, 0.0638, 0.0235, 0.0362, 0.0068, 0.0511, 0.0004, 0.0035, 0.2179, 0.0069, 0.5333, 0.009, 0.0022]))
Row(prediction=11.0, features=DenseVector([49.0, 40.0, 45.0]), label=11.0, probability=DenseVector([0.0096, 0.0358, 0.0638, 0.0235, 0.0362, 0.0068, 0.0511, 0.0004, 0.0035, 0.2179, 0.0069, 0.5333, 0.009, 0.0022]))
Row(prediction=11.0, features=DenseVector([49.0, 40.0, 48.0]), label=9.0, probability=DenseVector([0.006, 0.0569, 0.1241, 0.0679, 0.0292, 0.0334, 0.0357, 0.0074, 0.0148, 0.2595, 0.0017, 0.3434, 0.0143, 0.0057]))
Row(prediction=9.0, features=DenseVector([49.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.0132, 0.1108, 0.1156, 0.0827, 0.0529, 0.0323, 0.0341, 0.0115, 0.0263, 0.3859, 0.006, 0.083, 0.0429, 0.0028]))
Row(prediction=9.0, features=DenseVector([49.0, 41.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 41.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 41.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 41.0, 44.0]), label=6.0, probability=DenseVector([0.0094, 0.0367, 0.0602, 0.0244, 0.0483, 0.0068, 0.0873, 0.0004, 0.0041, 0.3159, 0.0069, 0.3863, 0.0112, 0.0022]))
Row(prediction=9.0, features=DenseVector([49.0, 41.0, 52.0]), label=9.0, probability=DenseVector([0.0132, 0.0936, 0.114, 0.0829, 0.0514, 0.0323, 0.0441, 0.0115, 0.0257, 0.4044, 0.006, 0.0782, 0.04, 0.0028]))
Row(prediction=11.0, features=DenseVector([49.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 42.0, 44.0]), label=6.0, probability=DenseVector([0.0094, 0.0367, 0.0602, 0.0244, 0.0483, 0.0068, 0.0873, 0.0004, 0.0041, 0.3159, 0.0069, 0.3863, 0.0112, 0.0022]))
Row(prediction=9.0, features=DenseVector([49.0, 44.0, 32.0]), label=6.0, probability=DenseVector([0.0268, 0.1126, 0.0023, 0.0041, 0.0134, 0.0006, 0.1754, 0.0023, 0.0018, 0.5783, 0.002, 0.0555, 0.0247, 0.0001]))
Row(prediction=9.0, features=DenseVector([49.0, 44.0, 54.0]), label=9.0, probability=DenseVector([0.0118, 0.0988, 0.0715, 0.081, 0.0565, 0.0296, 0.0575, 0.0109, 0.027, 0.4615, 0.0054, 0.0417, 0.044, 0.0028]))
Row(prediction=9.0, features=DenseVector([49.0, 45.0, 34.0]), label=9.0, probability=DenseVector([0.0268, 0.1126, 0.0023, 0.0041, 0.0134, 0.0006, 0.1754, 0.0023, 0.0018, 0.5783, 0.002, 0.0555, 0.0247, 0.0001]))
Row(prediction=9.0, features=DenseVector([49.0, 45.0, 38.0]), label=9.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([49.0, 45.0, 41.0]), label=11.0, probability=DenseVector([0.0193, 0.0361, 0.0277, 0.0182, 0.037, 0.0062, 0.1297, 0.0004, 0.0034, 0.4262, 0.0081, 0.2798, 0.0068, 0.0012]))
Row(prediction=9.0, features=DenseVector([49.0, 45.0, 42.0]), label=9.0, probability=DenseVector([0.0096, 0.0351, 0.0558, 0.0249, 0.0522, 0.0068, 0.1156, 0.0003, 0.0042, 0.3626, 0.0068, 0.3122, 0.0116, 0.0022]))
Row(prediction=9.0, features=DenseVector([49.0, 46.0, 34.0]), label=9.0, probability=DenseVector([0.0283, 0.1019, 0.0024, 0.004, 0.0127, 0.0005, 0.2704, 0.0028, 0.0024, 0.5115, 0.0019, 0.0408, 0.0204, 0.0001]))
Row(prediction=9.0, features=DenseVector([49.0, 46.0, 38.0]), label=9.0, probability=DenseVector([0.0246, 0.0385, 0.0103, 0.0085, 0.0235, 0.0001, 0.1551, 0.0008, 0.0061, 0.4178, 0.0058, 0.3005, 0.0084, 0.0001]))
Row(prediction=9.0, features=DenseVector([49.0, 47.0, 35.0]), label=9.0, probability=DenseVector([0.0312, 0.0892, 0.0069, 0.0089, 0.0137, 0.0005, 0.3696, 0.0045, 0.0103, 0.4081, 0.003, 0.0358, 0.0181, 0.0002]))
Row(prediction=9.0, features=DenseVector([49.0, 47.0, 41.0]), label=9.0, probability=DenseVector([0.0178, 0.035, 0.0264, 0.0233, 0.0322, 0.0057, 0.2141, 0.0025, 0.0106, 0.381, 0.0028, 0.239, 0.0092, 0.0003]))
Row(prediction=9.0, features=DenseVector([49.0, 48.0, 41.0]), label=11.0, probability=DenseVector([0.023, 0.0355, 0.0297, 0.0279, 0.0327, 0.0057, 0.3307, 0.0046, 0.0172, 0.3309, 0.0024, 0.148, 0.0116, 0.0003]))
Row(prediction=6.0, features=DenseVector([49.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0404, 0.0769, 0.0083, 0.0144, 0.0155, 0.0001, 0.6354, 0.0088, 0.017, 0.1543, 0.0021, 0.0128, 0.0138, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.041, 0.0535, 0.0109, 0.0161, 0.0156, 0.0001, 0.6261, 0.0088, 0.0203, 0.177, 0.0027, 0.0145, 0.0133, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 50.0, 33.0]), label=6.0, probability=DenseVector([0.0398, 0.0737, 0.0083, 0.0142, 0.0154, 0.0001, 0.6568, 0.0088, 0.0172, 0.1382, 0.0021, 0.0114, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 50.0, 38.0]), label=6.0, probability=DenseVector([0.0345, 0.0383, 0.0198, 0.0214, 0.0232, 0.0, 0.4229, 0.0068, 0.0266, 0.2612, 0.0036, 0.1287, 0.0129, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 51.0, 33.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 51.0, 34.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([49.0, 52.0, 44.0]), label=6.0, probability=DenseVector([0.0026, 0.0386, 0.0538, 0.0454, 0.0485, 0.0067, 0.1554, 0.0002, 0.0083, 0.4146, 0.0027, 0.204, 0.0165, 0.0027]))
Row(prediction=9.0, features=DenseVector([49.0, 52.0, 45.0]), label=9.0, probability=DenseVector([0.0026, 0.0386, 0.0538, 0.0454, 0.0485, 0.0067, 0.1554, 0.0002, 0.0083, 0.4146, 0.0027, 0.204, 0.0165, 0.0027]))
Row(prediction=9.0, features=DenseVector([49.0, 52.0, 45.0]), label=11.0, probability=DenseVector([0.0026, 0.0386, 0.0538, 0.0454, 0.0485, 0.0067, 0.1554, 0.0002, 0.0083, 0.4146, 0.0027, 0.204, 0.0165, 0.0027]))
Row(prediction=6.0, features=DenseVector([49.0, 53.0, 38.0]), label=6.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 53.0, 41.0]), label=9.0, probability=DenseVector([0.0245, 0.0359, 0.0386, 0.0568, 0.0346, 0.0058, 0.4011, 0.0051, 0.0255, 0.308, 0.0028, 0.0431, 0.014, 0.0042]))
Row(prediction=6.0, features=DenseVector([49.0, 54.0, 23.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 54.0, 36.0]), label=9.0, probability=DenseVector([0.0505, 0.0453, 0.0162, 0.0257, 0.0189, 0.0, 0.6339, 0.0098, 0.0305, 0.1228, 0.0037, 0.0141, 0.0285, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 54.0, 38.0]), label=9.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=9.0, features=DenseVector([49.0, 54.0, 42.0]), label=6.0, probability=DenseVector([0.0033, 0.0362, 0.0565, 0.0518, 0.0479, 0.0067, 0.158, 0.0002, 0.0092, 0.4049, 0.0017, 0.2042, 0.0151, 0.0043]))
Row(prediction=6.0, features=DenseVector([49.0, 55.0, 33.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 55.0, 39.0]), label=6.0, probability=DenseVector([0.0473, 0.0394, 0.0204, 0.0292, 0.0199, 0.0, 0.5819, 0.009, 0.0353, 0.1675, 0.0041, 0.0187, 0.0272, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 56.0, 34.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 57.0, 25.0]), label=6.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 57.0, 34.0]), label=6.0, probability=DenseVector([0.0332, 0.0248, 0.0074, 0.013, 0.012, 0.0, 0.8351, 0.0076, 0.0173, 0.0353, 0.0023, 0.0032, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 57.0, 40.0]), label=6.0, probability=DenseVector([0.0273, 0.0268, 0.0159, 0.0259, 0.018, 0.0001, 0.6908, 0.0059, 0.0222, 0.1402, 0.003, 0.0101, 0.0128, 0.001]))
Row(prediction=6.0, features=DenseVector([49.0, 58.0, 23.0]), label=6.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 58.0, 34.0]), label=9.0, probability=DenseVector([0.0332, 0.0248, 0.0074, 0.013, 0.012, 0.0, 0.8351, 0.0076, 0.0173, 0.0353, 0.0023, 0.0032, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 59.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 59.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 59.0, 34.0]), label=9.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 60.0, 21.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 61.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 62.0, 23.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 62.0, 24.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 62.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 62.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 62.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 62.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 62.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 63.0, 13.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 63.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 63.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 63.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([49.0, 63.0, 40.0]), label=6.0, probability=DenseVector([0.0251, 0.0216, 0.0116, 0.0179, 0.0121, 0.0, 0.7677, 0.0055, 0.0196, 0.0998, 0.0025, 0.0061, 0.0102, 0.0003]))
Row(prediction=6.0, features=DenseVector([49.0, 63.0, 43.0]), label=6.0, probability=DenseVector([0.0023, 0.0252, 0.0433, 0.0292, 0.028, 0.0066, 0.3328, 0.0002, 0.0029, 0.3282, 0.0008, 0.1852, 0.0152, 0.0003]))
Row(prediction=6.0, features=DenseVector([49.0, 63.0, 43.0]), label=6.0, probability=DenseVector([0.0023, 0.0252, 0.0433, 0.0292, 0.028, 0.0066, 0.3328, 0.0002, 0.0029, 0.3282, 0.0008, 0.1852, 0.0152, 0.0003]))
Row(prediction=9.0, features=DenseVector([49.0, 63.0, 44.0]), label=6.0, probability=DenseVector([0.0021, 0.0269, 0.0428, 0.0288, 0.0276, 0.0066, 0.31, 0.0002, 0.0028, 0.3498, 0.0008, 0.1847, 0.0166, 0.0003]))
Row(prediction=9.0, features=DenseVector([49.0, 63.0, 44.0]), label=6.0, probability=DenseVector([0.0021, 0.0269, 0.0428, 0.0288, 0.0276, 0.0066, 0.31, 0.0002, 0.0028, 0.3498, 0.0008, 0.1847, 0.0166, 0.0003]))
Row(prediction=9.0, features=DenseVector([49.0, 63.0, 46.0]), label=6.0, probability=DenseVector([0.0018, 0.0281, 0.0428, 0.0306, 0.0284, 0.0066, 0.2892, 0.0002, 0.0041, 0.362, 0.0008, 0.1847, 0.0204, 0.0003]))
Row(prediction=9.0, features=DenseVector([49.0, 63.0, 46.0]), label=6.0, probability=DenseVector([0.0018, 0.0281, 0.0428, 0.0306, 0.0284, 0.0066, 0.2892, 0.0002, 0.0041, 0.362, 0.0008, 0.1847, 0.0204, 0.0003]))
Row(prediction=9.0, features=DenseVector([49.0, 63.0, 47.0]), label=6.0, probability=DenseVector([0.0022, 0.0325, 0.0438, 0.0348, 0.0348, 0.0069, 0.2155, 0.0006, 0.0039, 0.4176, 0.0022, 0.185, 0.0201, 0.0003]))
Row(prediction=9.0, features=DenseVector([50.0, 0.0, 34.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 0.0, 37.0]), label=9.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 5.0, 59.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 8.0, 38.0]), label=9.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 13.0, 36.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 16.0, 48.0]), label=9.0, probability=DenseVector([0.0011, 0.0863, 0.062, 0.002, 0.0092, 0.0021, 0.0038, 0.0001, 0.0007, 0.6728, 0.0008, 0.1314, 0.0275, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 17.0, 40.0]), label=12.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 19.0, 30.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 19.0, 35.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 19.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 19.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 20.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 21.0, 40.0]), label=11.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 21.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 21.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 21.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 21.0, 61.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 22.0, 25.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 22.0, 30.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 22.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 23.0, 39.0]), label=11.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 23.0, 39.0]), label=11.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 23.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 24.0, 39.0]), label=11.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 24.0, 39.0]), label=11.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 24.0, 40.0]), label=11.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 24.0, 48.0]), label=9.0, probability=DenseVector([0.0038, 0.0988, 0.1414, 0.0026, 0.0129, 0.0024, 0.0043, 0.0004, 0.001, 0.5385, 0.0029, 0.1665, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 26.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 26.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 27.0, 39.0]), label=11.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 27.0, 43.0]), label=11.0, probability=DenseVector([0.0007, 0.1184, 0.0556, 0.0028, 0.0096, 0.0003, 0.002, 0.0, 0.0004, 0.5629, 0.0003, 0.2216, 0.0253, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 27.0, 45.0]), label=11.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 28.0, 42.0]), label=11.0, probability=DenseVector([0.001, 0.1183, 0.0538, 0.0031, 0.0093, 0.0003, 0.0016, 0.0, 0.0005, 0.5871, 0.0004, 0.1961, 0.0286, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 28.0, 42.0]), label=11.0, probability=DenseVector([0.001, 0.1183, 0.0538, 0.0031, 0.0093, 0.0003, 0.0016, 0.0, 0.0005, 0.5871, 0.0004, 0.1961, 0.0286, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 28.0, 43.0]), label=11.0, probability=DenseVector([0.0007, 0.1184, 0.0556, 0.0028, 0.0096, 0.0003, 0.002, 0.0, 0.0004, 0.5629, 0.0003, 0.2216, 0.0253, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 28.0, 44.0]), label=11.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 28.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 29.0, 34.0]), label=9.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 29.0, 43.0]), label=11.0, probability=DenseVector([0.0007, 0.1184, 0.0556, 0.0028, 0.0096, 0.0003, 0.002, 0.0, 0.0004, 0.5629, 0.0003, 0.2216, 0.0253, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 29.0, 45.0]), label=11.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 29.0, 46.0]), label=11.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 30.0, 49.0]), label=9.0, probability=DenseVector([0.0036, 0.1219, 0.1523, 0.0049, 0.0366, 0.0024, 0.018, 0.0004, 0.0027, 0.4117, 0.0027, 0.207, 0.0358, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 31.0, 42.0]), label=11.0, probability=DenseVector([0.0016, 0.0442, 0.045, 0.0014, 0.0142, 0.0, 0.0104, 0.0002, 0.0004, 0.1569, 0.0003, 0.7186, 0.0069, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 31.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 31.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 48.0]), label=11.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 38.0, 49.0]), label=11.0, probability=DenseVector([0.0095, 0.1006, 0.1917, 0.0356, 0.0387, 0.0419, 0.0239, 0.0055, 0.0081, 0.3571, 0.0044, 0.1506, 0.0322, 0.0002]))
Row(prediction=9.0, features=DenseVector([50.0, 39.0, 31.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 41.0]), label=11.0, probability=DenseVector([0.0065, 0.0297, 0.026, 0.0093, 0.0232, 0.0057, 0.0298, 0.0002, 0.0012, 0.2726, 0.0023, 0.5847, 0.0086, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 41.0]), label=11.0, probability=DenseVector([0.0065, 0.0297, 0.026, 0.0093, 0.0232, 0.0057, 0.0298, 0.0002, 0.0012, 0.2726, 0.0023, 0.5847, 0.0086, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 41.0]), label=11.0, probability=DenseVector([0.0065, 0.0297, 0.026, 0.0093, 0.0232, 0.0057, 0.0298, 0.0002, 0.0012, 0.2726, 0.0023, 0.5847, 0.0086, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 42.0]), label=11.0, probability=DenseVector([0.0027, 0.0318, 0.0589, 0.0109, 0.0225, 0.0057, 0.0307, 0.0002, 0.0013, 0.1756, 0.0007, 0.6513, 0.0075, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 43.0]), label=11.0, probability=DenseVector([0.0026, 0.0335, 0.0601, 0.0109, 0.0222, 0.0057, 0.0294, 0.0002, 0.0013, 0.171, 0.0007, 0.6547, 0.0075, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 44.0]), label=11.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 45.0]), label=9.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 47.0]), label=9.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 47.0]), label=11.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 40.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 40.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 40.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 40.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 40.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 40.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 40.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 40.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 40.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 40.0, 41.0]), label=11.0, probability=DenseVector([0.0097, 0.0297, 0.0277, 0.0152, 0.0268, 0.0062, 0.0332, 0.0004, 0.0023, 0.2795, 0.0056, 0.5536, 0.0091, 0.0011]))
Row(prediction=9.0, features=DenseVector([50.0, 41.0, 33.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 41.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 41.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 42.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 45.0]), label=9.0, probability=DenseVector([0.0094, 0.0367, 0.0602, 0.0244, 0.0483, 0.0068, 0.0873, 0.0004, 0.0041, 0.3159, 0.0069, 0.3863, 0.0112, 0.0022]))
Row(prediction=9.0, features=DenseVector([50.0, 43.0, 34.0]), label=9.0, probability=DenseVector([0.0266, 0.111, 0.0025, 0.0042, 0.014, 0.0006, 0.1567, 0.0024, 0.0018, 0.5939, 0.002, 0.0569, 0.0274, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 43.0, 38.0]), label=11.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 43.0, 40.0]), label=11.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.0096, 0.0368, 0.057, 0.0249, 0.052, 0.0068, 0.1142, 0.0003, 0.0042, 0.358, 0.0068, 0.3157, 0.0115, 0.0022]))
Row(prediction=9.0, features=DenseVector([50.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.0096, 0.0368, 0.057, 0.0249, 0.052, 0.0068, 0.1142, 0.0003, 0.0042, 0.358, 0.0068, 0.3157, 0.0115, 0.0022]))
Row(prediction=9.0, features=DenseVector([50.0, 45.0, 43.0]), label=11.0, probability=DenseVector([0.0096, 0.0368, 0.057, 0.0249, 0.052, 0.0068, 0.1142, 0.0003, 0.0042, 0.358, 0.0068, 0.3157, 0.0115, 0.0022]))
Row(prediction=9.0, features=DenseVector([50.0, 46.0, 33.0]), label=6.0, probability=DenseVector([0.0283, 0.1019, 0.0024, 0.004, 0.0127, 0.0005, 0.2704, 0.0028, 0.0024, 0.5115, 0.0019, 0.0408, 0.0204, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 46.0, 39.0]), label=9.0, probability=DenseVector([0.0246, 0.0385, 0.0103, 0.0085, 0.0235, 0.0001, 0.1551, 0.0008, 0.0061, 0.4178, 0.0058, 0.3005, 0.0084, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 46.0, 40.0]), label=9.0, probability=DenseVector([0.0204, 0.038, 0.0086, 0.0064, 0.0234, 0.0001, 0.1357, 0.0002, 0.0033, 0.4488, 0.0051, 0.3025, 0.0074, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 46.0, 42.0]), label=11.0, probability=DenseVector([0.0024, 0.035, 0.0494, 0.0295, 0.0461, 0.0066, 0.1282, 0.0002, 0.0032, 0.38, 0.0008, 0.3073, 0.0109, 0.0003]))
Row(prediction=9.0, features=DenseVector([50.0, 47.0, 18.0]), label=6.0, probability=DenseVector([0.0213, 0.1972, 0.0037, 0.005, 0.0086, 0.0005, 0.3505, 0.0034, 0.0054, 0.3559, 0.0008, 0.0292, 0.0185, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 47.0, 32.0]), label=6.0, probability=DenseVector([0.0289, 0.1085, 0.0043, 0.0061, 0.0123, 0.0005, 0.3642, 0.0036, 0.0066, 0.409, 0.0024, 0.0354, 0.0179, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 47.0, 46.0]), label=9.0, probability=DenseVector([0.0021, 0.0383, 0.0512, 0.0293, 0.0448, 0.0066, 0.1248, 0.0002, 0.0031, 0.3712, 0.0008, 0.3165, 0.0106, 0.0003]))
Row(prediction=6.0, features=DenseVector([50.0, 48.0, 38.0]), label=9.0, probability=DenseVector([0.0337, 0.0396, 0.0167, 0.0185, 0.0236, 0.0, 0.3813, 0.006, 0.0216, 0.282, 0.0032, 0.1606, 0.0131, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 49.0, 33.0]), label=6.0, probability=DenseVector([0.0404, 0.0769, 0.0083, 0.0144, 0.0155, 0.0001, 0.6354, 0.0088, 0.017, 0.1543, 0.0021, 0.0128, 0.0138, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 49.0, 34.0]), label=6.0, probability=DenseVector([0.0404, 0.0769, 0.0083, 0.0144, 0.0155, 0.0001, 0.6354, 0.0088, 0.017, 0.1543, 0.0021, 0.0128, 0.0138, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 49.0, 56.0]), label=9.0, probability=DenseVector([0.0107, 0.1019, 0.0357, 0.0413, 0.066, 0.0113, 0.0636, 0.0059, 0.031, 0.5249, 0.0092, 0.044, 0.0536, 0.0009]))
Row(prediction=6.0, features=DenseVector([50.0, 50.0, 29.0]), label=9.0, probability=DenseVector([0.0398, 0.0737, 0.0083, 0.0142, 0.0154, 0.0001, 0.6568, 0.0088, 0.0172, 0.1382, 0.0021, 0.0114, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 50.0, 34.0]), label=6.0, probability=DenseVector([0.0398, 0.0737, 0.0083, 0.0142, 0.0154, 0.0001, 0.6568, 0.0088, 0.0172, 0.1382, 0.0021, 0.0114, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 50.0, 39.0]), label=9.0, probability=DenseVector([0.0345, 0.0383, 0.0198, 0.0214, 0.0232, 0.0, 0.4229, 0.0068, 0.0266, 0.2612, 0.0036, 0.1287, 0.0129, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 50.0, 39.0]), label=9.0, probability=DenseVector([0.0345, 0.0383, 0.0198, 0.0214, 0.0232, 0.0, 0.4229, 0.0068, 0.0266, 0.2612, 0.0036, 0.1287, 0.0129, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 50.0, 40.0]), label=6.0, probability=DenseVector([0.0304, 0.0378, 0.0182, 0.0193, 0.0231, 0.0, 0.4035, 0.0063, 0.0237, 0.2922, 0.0028, 0.1307, 0.0118, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 50.0, 42.0]), label=11.0, probability=DenseVector([0.0024, 0.035, 0.0494, 0.0295, 0.0461, 0.0066, 0.1282, 0.0002, 0.0032, 0.38, 0.0008, 0.3073, 0.0109, 0.0003]))
Row(prediction=9.0, features=DenseVector([50.0, 50.0, 45.0]), label=9.0, probability=DenseVector([0.0021, 0.0383, 0.0512, 0.0293, 0.0448, 0.0066, 0.1248, 0.0002, 0.0031, 0.3712, 0.0008, 0.3165, 0.0106, 0.0003]))
Row(prediction=6.0, features=DenseVector([50.0, 51.0, 24.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 51.0, 32.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 53.0, 44.0]), label=9.0, probability=DenseVector([0.0031, 0.0376, 0.056, 0.0517, 0.0472, 0.0067, 0.1571, 0.0002, 0.0091, 0.4066, 0.0018, 0.2037, 0.0148, 0.0043]))
Row(prediction=6.0, features=DenseVector([50.0, 56.0, 38.0]), label=6.0, probability=DenseVector([0.0418, 0.0333, 0.0151, 0.0235, 0.0159, 0.0, 0.6978, 0.0079, 0.0285, 0.0979, 0.0036, 0.0094, 0.0253, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 56.0, 56.0]), label=9.0, probability=DenseVector([0.0093, 0.0725, 0.0315, 0.0429, 0.0651, 0.0032, 0.0827, 0.0038, 0.0287, 0.5772, 0.0094, 0.0285, 0.0446, 0.0007]))
Row(prediction=6.0, features=DenseVector([50.0, 58.0, 40.0]), label=0.0, probability=DenseVector([0.0273, 0.0268, 0.0159, 0.0259, 0.018, 0.0001, 0.6908, 0.0059, 0.0222, 0.1402, 0.003, 0.0101, 0.0128, 0.001]))
Row(prediction=9.0, features=DenseVector([50.0, 58.0, 47.0]), label=9.0, probability=DenseVector([0.0022, 0.0351, 0.049, 0.0377, 0.0473, 0.007, 0.1367, 0.0002, 0.0062, 0.4608, 0.0023, 0.1985, 0.0165, 0.0005]))
Row(prediction=6.0, features=DenseVector([50.0, 60.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 60.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 60.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 60.0, 45.0]), label=9.0, probability=DenseVector([0.0018, 0.0281, 0.0428, 0.0306, 0.0284, 0.0066, 0.2892, 0.0002, 0.0041, 0.362, 0.0008, 0.1847, 0.0204, 0.0003]))
Row(prediction=6.0, features=DenseVector([50.0, 61.0, 21.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 61.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 62.0, 22.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 62.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 62.0, 29.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 62.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 62.0, 43.0]), label=6.0, probability=DenseVector([0.0023, 0.0252, 0.0433, 0.0292, 0.028, 0.0066, 0.3328, 0.0002, 0.0029, 0.3282, 0.0008, 0.1852, 0.0152, 0.0003]))
Row(prediction=6.0, features=DenseVector([50.0, 63.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 63.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 63.0, 61.0]), label=9.0, probability=DenseVector([0.0083, 0.0594, 0.0255, 0.0339, 0.0707, 0.0024, 0.1464, 0.0036, 0.021, 0.5555, 0.0084, 0.0185, 0.0465, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 6.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 13.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 15.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 16.0, 57.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 18.0, 39.0]), label=12.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 18.0, 47.0]), label=12.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 20.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 21.0, 38.0]), label=9.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 21.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 24.0, 32.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 24.0, 38.0]), label=11.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 24.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 24.0, 40.0]), label=11.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 24.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 25.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 26.0, 40.0]), label=11.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 27.0, 43.0]), label=11.0, probability=DenseVector([0.0007, 0.1184, 0.0556, 0.0028, 0.0096, 0.0003, 0.002, 0.0, 0.0004, 0.5629, 0.0003, 0.2216, 0.0253, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 27.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 27.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 28.0, 49.0]), label=9.0, probability=DenseVector([0.0036, 0.0966, 0.1376, 0.0024, 0.017, 0.0024, 0.0058, 0.0004, 0.001, 0.6002, 0.0028, 0.0994, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 29.0, 38.0]), label=9.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 30.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0375, 0.0211, 0.0006, 0.0135, 0.0005, 0.0121, 0.0001, 0.0005, 0.2651, 0.0006, 0.6343, 0.012, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 31.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0375, 0.0211, 0.0006, 0.0135, 0.0005, 0.0121, 0.0001, 0.0005, 0.2651, 0.0006, 0.6343, 0.012, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 31.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0375, 0.0211, 0.0006, 0.0135, 0.0005, 0.0121, 0.0001, 0.0005, 0.2651, 0.0006, 0.6343, 0.012, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 31.0, 42.0]), label=11.0, probability=DenseVector([0.0016, 0.0442, 0.045, 0.0014, 0.0142, 0.0, 0.0104, 0.0002, 0.0004, 0.1569, 0.0003, 0.7186, 0.0069, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 31.0, 49.0]), label=11.0, probability=DenseVector([0.0036, 0.1219, 0.1523, 0.0049, 0.0366, 0.0024, 0.018, 0.0004, 0.0027, 0.4117, 0.0027, 0.207, 0.0358, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 32.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 32.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 32.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 32.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 32.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 32.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 32.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 33.0, 31.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 33.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 39.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 33.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 47.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 35.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 35.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 37.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 37.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 37.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 41.0]), label=11.0, probability=DenseVector([0.0065, 0.0297, 0.026, 0.0093, 0.0232, 0.0057, 0.0298, 0.0002, 0.0012, 0.2726, 0.0023, 0.5847, 0.0086, 0.0002]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 42.0]), label=11.0, probability=DenseVector([0.0027, 0.0318, 0.0589, 0.0109, 0.0225, 0.0057, 0.0307, 0.0002, 0.0013, 0.1756, 0.0007, 0.6513, 0.0075, 0.0002]))
Row(prediction=11.0, features=DenseVector([51.0, 39.0, 42.0]), label=11.0, probability=DenseVector([0.0027, 0.0318, 0.0589, 0.0109, 0.0225, 0.0057, 0.0307, 0.0002, 0.0013, 0.1756, 0.0007, 0.6513, 0.0075, 0.0002]))
Row(prediction=9.0, features=DenseVector([51.0, 40.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 42.0]), label=9.0, probability=DenseVector([0.0098, 0.0325, 0.0621, 0.0236, 0.0375, 0.0068, 0.0545, 0.0004, 0.0036, 0.2267, 0.0069, 0.5241, 0.0093, 0.0022]))
Row(prediction=9.0, features=DenseVector([51.0, 41.0, 30.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 41.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 42.0, 29.0]), label=6.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 42.0, 35.0]), label=11.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 45.0]), label=9.0, probability=DenseVector([0.0094, 0.0367, 0.0602, 0.0244, 0.0483, 0.0068, 0.0873, 0.0004, 0.0041, 0.3159, 0.0069, 0.3863, 0.0112, 0.0022]))
Row(prediction=9.0, features=DenseVector([51.0, 42.0, 49.0]), label=6.0, probability=DenseVector([0.0051, 0.0901, 0.0949, 0.0673, 0.044, 0.0247, 0.0526, 0.0073, 0.0166, 0.4538, 0.0013, 0.1025, 0.0343, 0.0056]))
Row(prediction=9.0, features=DenseVector([51.0, 43.0, 30.0]), label=9.0, probability=DenseVector([0.0266, 0.111, 0.0025, 0.0042, 0.014, 0.0006, 0.1567, 0.0024, 0.0018, 0.5939, 0.002, 0.0569, 0.0274, 0.0001]))
Row(prediction=9.0, features=DenseVector([51.0, 44.0, 39.0]), label=11.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([51.0, 45.0, 38.0]), label=9.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([51.0, 46.0, 39.0]), label=6.0, probability=DenseVector([0.0246, 0.0385, 0.0103, 0.0085, 0.0235, 0.0001, 0.1551, 0.0008, 0.0061, 0.4178, 0.0058, 0.3005, 0.0084, 0.0001]))
Row(prediction=9.0, features=DenseVector([51.0, 47.0, 43.0]), label=11.0, probability=DenseVector([0.0023, 0.0367, 0.0506, 0.0295, 0.0458, 0.0066, 0.1268, 0.0002, 0.0032, 0.3753, 0.0008, 0.3108, 0.0109, 0.0003]))
Row(prediction=9.0, features=DenseVector([51.0, 47.0, 47.0]), label=9.0, probability=DenseVector([0.0021, 0.0383, 0.0512, 0.0293, 0.0448, 0.0066, 0.1248, 0.0002, 0.0031, 0.3712, 0.0008, 0.3165, 0.0106, 0.0003]))
Row(prediction=9.0, features=DenseVector([51.0, 48.0, 46.0]), label=9.0, probability=DenseVector([0.0021, 0.0383, 0.0512, 0.0293, 0.0448, 0.0066, 0.1248, 0.0002, 0.0031, 0.3712, 0.0008, 0.3165, 0.0106, 0.0003]))
Row(prediction=9.0, features=DenseVector([51.0, 49.0, 50.0]), label=9.0, probability=DenseVector([0.0026, 0.0943, 0.0347, 0.0386, 0.0513, 0.002, 0.0918, 0.001, 0.0113, 0.572, 0.0018, 0.0599, 0.0388, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 50.0, 28.0]), label=9.0, probability=DenseVector([0.0398, 0.0737, 0.0083, 0.0142, 0.0154, 0.0001, 0.6568, 0.0088, 0.0172, 0.1382, 0.0021, 0.0114, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 51.0, 40.0]), label=6.0, probability=DenseVector([0.031, 0.0384, 0.0322, 0.0398, 0.0244, 0.0001, 0.4317, 0.0063, 0.0416, 0.3059, 0.0039, 0.0275, 0.0163, 0.0008]))
Row(prediction=6.0, features=DenseVector([51.0, 51.0, 40.0]), label=9.0, probability=DenseVector([0.031, 0.0384, 0.0322, 0.0398, 0.0244, 0.0001, 0.4317, 0.0063, 0.0416, 0.3059, 0.0039, 0.0275, 0.0163, 0.0008]))
Row(prediction=6.0, features=DenseVector([51.0, 52.0, 39.0]), label=9.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 53.0, 38.0]), label=9.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 54.0, 28.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 54.0, 35.0]), label=6.0, probability=DenseVector([0.0513, 0.0448, 0.0147, 0.0238, 0.0185, 0.0, 0.6709, 0.0108, 0.0285, 0.0948, 0.0031, 0.0107, 0.028, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0505, 0.0453, 0.0162, 0.0257, 0.0189, 0.0, 0.6339, 0.0098, 0.0305, 0.1228, 0.0037, 0.0141, 0.0285, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 55.0, 28.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 55.0, 37.0]), label=6.0, probability=DenseVector([0.0473, 0.0394, 0.0204, 0.0292, 0.0199, 0.0, 0.5819, 0.009, 0.0353, 0.1675, 0.0041, 0.0187, 0.0272, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 56.0, 9.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 56.0, 41.0]), label=9.0, probability=DenseVector([0.0229, 0.0305, 0.0358, 0.0497, 0.0309, 0.0058, 0.4508, 0.0051, 0.0233, 0.2906, 0.0028, 0.0348, 0.0143, 0.0028]))
Row(prediction=6.0, features=DenseVector([51.0, 57.0, 28.0]), label=6.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 57.0, 32.0]), label=6.0, probability=DenseVector([0.0332, 0.0248, 0.0074, 0.013, 0.012, 0.0, 0.8351, 0.0076, 0.0173, 0.0353, 0.0023, 0.0032, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 58.0, 13.0]), label=6.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 59.0, 37.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=9.0, features=DenseVector([51.0, 59.0, 44.0]), label=9.0, probability=DenseVector([0.0021, 0.0269, 0.0428, 0.0288, 0.0276, 0.0066, 0.31, 0.0002, 0.0028, 0.3498, 0.0008, 0.1847, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([51.0, 60.0, 24.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 60.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 60.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 60.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 61.0, 22.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=9.0, features=DenseVector([51.0, 61.0, 45.0]), label=9.0, probability=DenseVector([0.0018, 0.0281, 0.0428, 0.0306, 0.0284, 0.0066, 0.2892, 0.0002, 0.0041, 0.362, 0.0008, 0.1847, 0.0204, 0.0003]))
Row(prediction=6.0, features=DenseVector([51.0, 62.0, 13.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 62.0, 21.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 62.0, 27.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 62.0, 27.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 62.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([51.0, 62.0, 43.0]), label=6.0, probability=DenseVector([0.0023, 0.0252, 0.0433, 0.0292, 0.028, 0.0066, 0.3328, 0.0002, 0.0029, 0.3282, 0.0008, 0.1852, 0.0152, 0.0003]))
Row(prediction=6.0, features=DenseVector([51.0, 62.0, 43.0]), label=6.0, probability=DenseVector([0.0023, 0.0252, 0.0433, 0.0292, 0.028, 0.0066, 0.3328, 0.0002, 0.0029, 0.3282, 0.0008, 0.1852, 0.0152, 0.0003]))
Row(prediction=6.0, features=DenseVector([51.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([51.0, 63.0, 44.0]), label=6.0, probability=DenseVector([0.0021, 0.0269, 0.0428, 0.0288, 0.0276, 0.0066, 0.31, 0.0002, 0.0028, 0.3498, 0.0008, 0.1847, 0.0166, 0.0003]))
Row(prediction=9.0, features=DenseVector([51.0, 63.0, 48.0]), label=6.0, probability=DenseVector([0.0031, 0.0544, 0.033, 0.0421, 0.0369, 0.0023, 0.1762, 0.0013, 0.0111, 0.5307, 0.0033, 0.0771, 0.0282, 0.0001]))
Row(prediction=9.0, features=DenseVector([52.0, 7.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 9.0, 51.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 12.0, 37.0]), label=9.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 13.0, 62.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 15.0, 56.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 17.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 17.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 18.0, 38.0]), label=12.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 18.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 19.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 20.0, 59.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 21.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 21.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 23.0, 48.0]), label=9.0, probability=DenseVector([0.0038, 0.0988, 0.1414, 0.0026, 0.0129, 0.0024, 0.0043, 0.0004, 0.001, 0.5385, 0.0029, 0.1665, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 25.0, 42.0]), label=11.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 26.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 26.0, 43.0]), label=11.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 27.0, 38.0]), label=11.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 27.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 28.0, 33.0]), label=9.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 28.0, 38.0]), label=11.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 29.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 30.0, 42.0]), label=9.0, probability=DenseVector([0.0016, 0.0442, 0.045, 0.0014, 0.0142, 0.0, 0.0104, 0.0002, 0.0004, 0.1569, 0.0003, 0.7186, 0.0069, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 31.0, 37.0]), label=11.0, probability=DenseVector([0.0028, 0.0476, 0.0096, 0.0009, 0.0149, 0.0009, 0.033, 0.0001, 0.0008, 0.3872, 0.0016, 0.4795, 0.0211, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 31.0, 40.0]), label=9.0, probability=DenseVector([0.0013, 0.0419, 0.0093, 0.0005, 0.0124, 0.0004, 0.0151, 0.0, 0.0009, 0.3403, 0.0007, 0.5613, 0.0159, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 31.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0375, 0.0211, 0.0006, 0.0135, 0.0005, 0.0121, 0.0001, 0.0005, 0.2651, 0.0006, 0.6343, 0.012, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 31.0, 41.0]), label=11.0, probability=DenseVector([0.0021, 0.0375, 0.0211, 0.0006, 0.0135, 0.0005, 0.0121, 0.0001, 0.0005, 0.2651, 0.0006, 0.6343, 0.012, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 31.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 32.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 32.0, 49.0]), label=11.0, probability=DenseVector([0.0036, 0.1219, 0.1523, 0.0049, 0.0366, 0.0024, 0.018, 0.0004, 0.0027, 0.4117, 0.0027, 0.207, 0.0358, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 33.0, 36.0]), label=11.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 34.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 35.0, 36.0]), label=11.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 36.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 36.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 36.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 36.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 36.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 36.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 36.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 36.0, 45.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 36.0, 52.0]), label=9.0, probability=DenseVector([0.0138, 0.1192, 0.0988, 0.025, 0.0436, 0.0881, 0.0194, 0.0078, 0.0116, 0.3824, 0.0098, 0.1394, 0.0379, 0.0032]))
Row(prediction=9.0, features=DenseVector([52.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 37.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 37.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 37.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 37.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 37.0, 54.0]), label=1.0, probability=DenseVector([0.019, 0.1251, 0.0455, 0.0304, 0.0533, 0.0732, 0.0211, 0.0078, 0.0144, 0.4199, 0.0102, 0.1333, 0.0443, 0.0025]))
Row(prediction=11.0, features=DenseVector([52.0, 38.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 38.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 38.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 38.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 38.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 38.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 38.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 38.0, 43.0]), label=0.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 39.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 39.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 39.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 39.0, 42.0]), label=11.0, probability=DenseVector([0.0027, 0.0318, 0.0589, 0.0109, 0.0225, 0.0057, 0.0307, 0.0002, 0.0013, 0.1756, 0.0007, 0.6513, 0.0075, 0.0002]))
Row(prediction=11.0, features=DenseVector([52.0, 39.0, 43.0]), label=9.0, probability=DenseVector([0.0026, 0.0335, 0.0601, 0.0109, 0.0222, 0.0057, 0.0294, 0.0002, 0.0013, 0.171, 0.0007, 0.6547, 0.0075, 0.0002]))
Row(prediction=11.0, features=DenseVector([52.0, 40.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 40.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 40.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 40.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 40.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 40.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 40.0, 42.0]), label=9.0, probability=DenseVector([0.0098, 0.0325, 0.0621, 0.0236, 0.0375, 0.0068, 0.0545, 0.0004, 0.0036, 0.2267, 0.0069, 0.5241, 0.0093, 0.0022]))
Row(prediction=11.0, features=DenseVector([52.0, 40.0, 45.0]), label=9.0, probability=DenseVector([0.0096, 0.0358, 0.0638, 0.0235, 0.0362, 0.0068, 0.0511, 0.0004, 0.0035, 0.2179, 0.0069, 0.5333, 0.009, 0.0022]))
Row(prediction=11.0, features=DenseVector([52.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 41.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.0096, 0.0288, 0.0267, 0.0157, 0.0319, 0.0062, 0.0563, 0.0004, 0.0024, 0.3265, 0.0055, 0.48, 0.0089, 0.0011]))
Row(prediction=11.0, features=DenseVector([52.0, 42.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 43.0, 38.0]), label=11.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([52.0, 43.0, 41.0]), label=9.0, probability=DenseVector([0.0193, 0.0361, 0.0277, 0.0182, 0.037, 0.0062, 0.1297, 0.0004, 0.0034, 0.4262, 0.0081, 0.2798, 0.0068, 0.0012]))
Row(prediction=9.0, features=DenseVector([52.0, 44.0, 39.0]), label=11.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([52.0, 44.0, 42.0]), label=9.0, probability=DenseVector([0.0096, 0.0351, 0.0558, 0.0249, 0.0522, 0.0068, 0.1156, 0.0003, 0.0042, 0.3626, 0.0068, 0.3122, 0.0116, 0.0022]))
Row(prediction=9.0, features=DenseVector([52.0, 44.0, 42.0]), label=6.0, probability=DenseVector([0.0096, 0.0351, 0.0558, 0.0249, 0.0522, 0.0068, 0.1156, 0.0003, 0.0042, 0.3626, 0.0068, 0.3122, 0.0116, 0.0022]))
Row(prediction=9.0, features=DenseVector([52.0, 46.0, 33.0]), label=9.0, probability=DenseVector([0.0283, 0.1019, 0.0024, 0.004, 0.0127, 0.0005, 0.2704, 0.0028, 0.0024, 0.5115, 0.0019, 0.0408, 0.0204, 0.0001]))
Row(prediction=9.0, features=DenseVector([52.0, 46.0, 41.0]), label=9.0, probability=DenseVector([0.0156, 0.0358, 0.0239, 0.0193, 0.0338, 0.0057, 0.1449, 0.0002, 0.0032, 0.4556, 0.0048, 0.25, 0.0068, 0.0003]))
Row(prediction=9.0, features=DenseVector([52.0, 46.0, 47.0]), label=6.0, probability=DenseVector([0.0021, 0.0383, 0.0512, 0.0293, 0.0448, 0.0066, 0.1248, 0.0002, 0.0031, 0.3712, 0.0008, 0.3165, 0.0106, 0.0003]))
Row(prediction=6.0, features=DenseVector([52.0, 49.0, 25.0]), label=6.0, probability=DenseVector([0.0393, 0.0981, 0.0083, 0.0142, 0.0152, 0.0001, 0.6304, 0.0088, 0.017, 0.1409, 0.0021, 0.0112, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 49.0, 35.0]), label=6.0, probability=DenseVector([0.041, 0.0535, 0.0109, 0.0161, 0.0156, 0.0001, 0.6261, 0.0088, 0.0203, 0.177, 0.0027, 0.0145, 0.0133, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 51.0, 22.0]), label=9.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 52.0, 25.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 54.0, 26.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 55.0, 41.0]), label=9.0, probability=DenseVector([0.0245, 0.0359, 0.0386, 0.0568, 0.0346, 0.0058, 0.4011, 0.0051, 0.0255, 0.308, 0.0028, 0.0431, 0.014, 0.0042]))
Row(prediction=6.0, features=DenseVector([52.0, 57.0, 37.0]), label=6.0, probability=DenseVector([0.0328, 0.0242, 0.0126, 0.019, 0.0132, 0.0, 0.7706, 0.0063, 0.0239, 0.0701, 0.0035, 0.0061, 0.0176, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 58.0, 40.0]), label=9.0, probability=DenseVector([0.0273, 0.0268, 0.0159, 0.0259, 0.018, 0.0001, 0.6908, 0.0059, 0.0222, 0.1402, 0.003, 0.0101, 0.0128, 0.001]))
Row(prediction=9.0, features=DenseVector([52.0, 59.0, 51.0]), label=9.0, probability=DenseVector([0.003, 0.0665, 0.0296, 0.0431, 0.0394, 0.0023, 0.1733, 0.0013, 0.0114, 0.5536, 0.0032, 0.0374, 0.0358, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 60.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 60.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 61.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 61.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 61.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 61.0, 38.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 62.0, 22.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 62.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 62.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 62.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([52.0, 62.0, 40.0]), label=9.0, probability=DenseVector([0.0251, 0.0216, 0.0116, 0.0179, 0.0121, 0.0, 0.7677, 0.0055, 0.0196, 0.0998, 0.0025, 0.0061, 0.0102, 0.0003]))
Row(prediction=6.0, features=DenseVector([52.0, 63.0, 9.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=9.0, features=DenseVector([52.0, 63.0, 45.0]), label=6.0, probability=DenseVector([0.0018, 0.0281, 0.0428, 0.0306, 0.0284, 0.0066, 0.2892, 0.0002, 0.0041, 0.362, 0.0008, 0.1847, 0.0204, 0.0003]))
Row(prediction=9.0, features=DenseVector([53.0, 5.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 7.0, 56.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 8.0, 53.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 14.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 14.0, 54.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 15.0, 38.0]), label=9.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 17.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 20.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 21.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 23.0, 43.0]), label=12.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 23.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 25.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 26.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 26.0, 58.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 27.0, 21.0]), label=12.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 27.0, 38.0]), label=9.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 27.0, 40.0]), label=11.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 28.0, 34.0]), label=9.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 28.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 28.0, 52.0]), label=9.0, probability=DenseVector([0.0081, 0.115, 0.1273, 0.0081, 0.0221, 0.0115, 0.0057, 0.0027, 0.0072, 0.5747, 0.0042, 0.0773, 0.036, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 28.0, 53.0]), label=9.0, probability=DenseVector([0.0118, 0.1241, 0.0558, 0.0092, 0.0306, 0.0114, 0.0074, 0.0018, 0.0078, 0.6289, 0.0059, 0.065, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 29.0, 38.0]), label=11.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 29.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 29.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1184, 0.0556, 0.0028, 0.0096, 0.0003, 0.002, 0.0, 0.0004, 0.5629, 0.0003, 0.2216, 0.0253, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 29.0, 53.0]), label=9.0, probability=DenseVector([0.0118, 0.1241, 0.0558, 0.0092, 0.0306, 0.0114, 0.0074, 0.0018, 0.0078, 0.6289, 0.0059, 0.065, 0.0403, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 30.0, 37.0]), label=11.0, probability=DenseVector([0.0028, 0.0476, 0.0096, 0.0009, 0.0149, 0.0009, 0.033, 0.0001, 0.0008, 0.3872, 0.0016, 0.4795, 0.0211, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 30.0, 38.0]), label=11.0, probability=DenseVector([0.0028, 0.0476, 0.0096, 0.0009, 0.0149, 0.0009, 0.033, 0.0001, 0.0008, 0.3872, 0.0016, 0.4795, 0.0211, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 30.0, 39.0]), label=9.0, probability=DenseVector([0.0013, 0.0419, 0.0093, 0.0005, 0.0124, 0.0004, 0.0151, 0.0, 0.0009, 0.3403, 0.0007, 0.5613, 0.0159, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 31.0, 35.0]), label=11.0, probability=DenseVector([0.0127, 0.0886, 0.0052, 0.0032, 0.0133, 0.0012, 0.0627, 0.0021, 0.0011, 0.6681, 0.0018, 0.0942, 0.0458, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 31.0, 37.0]), label=11.0, probability=DenseVector([0.0028, 0.0476, 0.0096, 0.0009, 0.0149, 0.0009, 0.033, 0.0001, 0.0008, 0.3872, 0.0016, 0.4795, 0.0211, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 31.0, 37.0]), label=11.0, probability=DenseVector([0.0028, 0.0476, 0.0096, 0.0009, 0.0149, 0.0009, 0.033, 0.0001, 0.0008, 0.3872, 0.0016, 0.4795, 0.0211, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 31.0, 38.0]), label=11.0, probability=DenseVector([0.0028, 0.0476, 0.0096, 0.0009, 0.0149, 0.0009, 0.033, 0.0001, 0.0008, 0.3872, 0.0016, 0.4795, 0.0211, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 31.0, 39.0]), label=11.0, probability=DenseVector([0.0013, 0.0419, 0.0093, 0.0005, 0.0124, 0.0004, 0.0151, 0.0, 0.0009, 0.3403, 0.0007, 0.5613, 0.0159, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 31.0, 39.0]), label=11.0, probability=DenseVector([0.0013, 0.0419, 0.0093, 0.0005, 0.0124, 0.0004, 0.0151, 0.0, 0.0009, 0.3403, 0.0007, 0.5613, 0.0159, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 32.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 42.0]), label=9.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 34.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 34.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 34.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 34.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 34.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 34.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 34.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 34.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 34.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 34.0, 49.0]), label=11.0, probability=DenseVector([0.0036, 0.1219, 0.1523, 0.0049, 0.0366, 0.0024, 0.018, 0.0004, 0.0027, 0.4117, 0.0027, 0.207, 0.0358, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 35.0, 36.0]), label=11.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 35.0, 36.0]), label=11.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 35.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 35.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 35.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 35.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 36.0, 28.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 36.0, 32.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 36.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 36.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 36.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 36.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 36.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 36.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 36.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 36.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 36.0, 51.0]), label=9.0, probability=DenseVector([0.0036, 0.1276, 0.1458, 0.0048, 0.0384, 0.0024, 0.0259, 0.0004, 0.004, 0.4305, 0.0027, 0.1765, 0.0374, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 37.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 37.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 37.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 37.0, 39.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 37.0, 49.0]), label=9.0, probability=DenseVector([0.0059, 0.122, 0.1292, 0.011, 0.0381, 0.0054, 0.0242, 0.0054, 0.0066, 0.432, 0.0032, 0.1804, 0.0366, 0.0001]))
Row(prediction=9.0, features=DenseVector([53.0, 37.0, 52.0]), label=9.0, probability=DenseVector([0.0138, 0.1192, 0.0988, 0.025, 0.0436, 0.0881, 0.0194, 0.0078, 0.0116, 0.3824, 0.0098, 0.1394, 0.0379, 0.0032]))
Row(prediction=11.0, features=DenseVector([53.0, 38.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 38.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 39.0, 42.0]), label=9.0, probability=DenseVector([0.0027, 0.0318, 0.0589, 0.0109, 0.0225, 0.0057, 0.0307, 0.0002, 0.0013, 0.1756, 0.0007, 0.6513, 0.0075, 0.0002]))
Row(prediction=9.0, features=DenseVector([53.0, 40.0, 28.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 40.0, 32.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 40.0, 35.0]), label=11.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 40.0, 43.0]), label=11.0, probability=DenseVector([0.0098, 0.0342, 0.0633, 0.0236, 0.0372, 0.0068, 0.0531, 0.0004, 0.0036, 0.2221, 0.0069, 0.5276, 0.0093, 0.0022]))
Row(prediction=9.0, features=DenseVector([53.0, 41.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 41.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 41.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 43.0, 48.0]), label=6.0, probability=DenseVector([0.0054, 0.0625, 0.0969, 0.0651, 0.0397, 0.0247, 0.0789, 0.0073, 0.016, 0.3748, 0.0014, 0.2047, 0.0169, 0.0056]))
Row(prediction=9.0, features=DenseVector([53.0, 44.0, 44.0]), label=9.0, probability=DenseVector([0.0094, 0.0384, 0.0576, 0.0247, 0.051, 0.0068, 0.1122, 0.0003, 0.004, 0.3538, 0.0068, 0.3214, 0.0113, 0.0022]))
Row(prediction=9.0, features=DenseVector([53.0, 44.0, 49.0]), label=9.0, probability=DenseVector([0.0043, 0.0925, 0.0707, 0.066, 0.0477, 0.0224, 0.0652, 0.0072, 0.017, 0.4959, 0.001, 0.0682, 0.0363, 0.0056]))
Row(prediction=9.0, features=DenseVector([53.0, 45.0, 47.0]), label=9.0, probability=DenseVector([0.0047, 0.0413, 0.0661, 0.0403, 0.0439, 0.0192, 0.1065, 0.0059, 0.0104, 0.329, 0.001, 0.315, 0.0112, 0.0055]))
Row(prediction=9.0, features=DenseVector([53.0, 46.0, 37.0]), label=9.0, probability=DenseVector([0.0246, 0.0385, 0.0103, 0.0085, 0.0235, 0.0001, 0.1551, 0.0008, 0.0061, 0.4178, 0.0058, 0.3005, 0.0084, 0.0001]))
Row(prediction=9.0, features=DenseVector([53.0, 46.0, 44.0]), label=9.0, probability=DenseVector([0.0021, 0.0383, 0.0512, 0.0293, 0.0448, 0.0066, 0.1248, 0.0002, 0.0031, 0.3712, 0.0008, 0.3165, 0.0106, 0.0003]))
Row(prediction=6.0, features=DenseVector([53.0, 48.0, 28.0]), label=9.0, probability=DenseVector([0.0389, 0.0993, 0.0083, 0.0142, 0.0149, 0.0001, 0.6143, 0.0088, 0.017, 0.1581, 0.0021, 0.0115, 0.0125, 0.0001]))
Row(prediction=9.0, features=DenseVector([53.0, 48.0, 43.0]), label=9.0, probability=DenseVector([0.0023, 0.0367, 0.0506, 0.0295, 0.0458, 0.0066, 0.1268, 0.0002, 0.0032, 0.3753, 0.0008, 0.3108, 0.0109, 0.0003]))
Row(prediction=6.0, features=DenseVector([53.0, 49.0, 31.0]), label=9.0, probability=DenseVector([0.0404, 0.0769, 0.0083, 0.0144, 0.0155, 0.0001, 0.6354, 0.0088, 0.017, 0.1543, 0.0021, 0.0128, 0.0138, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 50.0, 30.0]), label=6.0, probability=DenseVector([0.0398, 0.0737, 0.0083, 0.0142, 0.0154, 0.0001, 0.6568, 0.0088, 0.0172, 0.1382, 0.0021, 0.0114, 0.014, 0.0001]))
Row(prediction=9.0, features=DenseVector([53.0, 51.0, 44.0]), label=9.0, probability=DenseVector([0.0026, 0.0386, 0.0538, 0.0454, 0.0485, 0.0067, 0.1554, 0.0002, 0.0083, 0.4146, 0.0027, 0.204, 0.0165, 0.0027]))
Row(prediction=6.0, features=DenseVector([53.0, 53.0, 27.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 54.0, 31.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 55.0, 29.0]), label=9.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 55.0, 29.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 56.0, 29.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 57.0, 32.0]), label=6.0, probability=DenseVector([0.0332, 0.0248, 0.0074, 0.013, 0.012, 0.0, 0.8351, 0.0076, 0.0173, 0.0353, 0.0023, 0.0032, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 58.0, 38.0]), label=6.0, probability=DenseVector([0.0328, 0.0242, 0.0126, 0.019, 0.0132, 0.0, 0.7706, 0.0063, 0.0239, 0.0701, 0.0035, 0.0061, 0.0176, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 58.0, 40.0]), label=6.0, probability=DenseVector([0.0273, 0.0268, 0.0159, 0.0259, 0.018, 0.0001, 0.6908, 0.0059, 0.0222, 0.1402, 0.003, 0.0101, 0.0128, 0.001]))
Row(prediction=9.0, features=DenseVector([53.0, 59.0, 48.0]), label=9.0, probability=DenseVector([0.0031, 0.0544, 0.033, 0.0421, 0.0369, 0.0023, 0.1762, 0.0013, 0.0111, 0.5307, 0.0033, 0.0771, 0.0282, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 60.0, 18.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 60.0, 23.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 60.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 60.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 61.0, 16.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 62.0, 25.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 62.0, 27.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 63.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 63.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([53.0, 63.0, 39.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=9.0, features=DenseVector([54.0, 0.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 0.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 0.0, 58.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 14.0, 49.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 15.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 15.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 17.0, 35.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 20.0, 62.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 23.0, 27.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 23.0, 37.0]), label=9.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 24.0, 43.0]), label=11.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 24.0, 51.0]), label=9.0, probability=DenseVector([0.0036, 0.0955, 0.1366, 0.0024, 0.0158, 0.0024, 0.0058, 0.0004, 0.001, 0.6072, 0.0028, 0.0985, 0.0279, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 27.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 27.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1183, 0.0538, 0.0031, 0.0093, 0.0003, 0.0016, 0.0, 0.0005, 0.5871, 0.0004, 0.1961, 0.0286, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 28.0, 37.0]), label=11.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 30.0, 43.0]), label=9.0, probability=DenseVector([0.0016, 0.0459, 0.0462, 0.0014, 0.0139, 0.0, 0.0091, 0.0002, 0.0004, 0.1523, 0.0003, 0.722, 0.0068, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 31.0, 36.0]), label=11.0, probability=DenseVector([0.0104, 0.0782, 0.0059, 0.003, 0.0143, 0.0009, 0.0509, 0.0015, 0.001, 0.634, 0.0017, 0.1536, 0.0444, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 32.0, 35.0]), label=11.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 32.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 32.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 33.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 33.0, 38.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 34.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 34.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 34.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 35.0, 36.0]), label=11.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 35.0, 36.0]), label=11.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 35.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 36.0, 37.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 36.0, 39.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 36.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 39.0, 35.0]), label=11.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 39.0, 39.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 40.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 40.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 42.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 42.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 44.0, 27.0]), label=6.0, probability=DenseVector([0.0134, 0.2593, 0.0017, 0.0023, 0.0078, 0.0006, 0.1457, 0.0018, 0.0006, 0.4933, 0.0004, 0.0473, 0.0259, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 44.0, 47.0]), label=11.0, probability=DenseVector([0.0047, 0.0413, 0.0661, 0.0403, 0.0439, 0.0192, 0.1065, 0.0059, 0.0104, 0.329, 0.001, 0.315, 0.0112, 0.0055]))
Row(prediction=9.0, features=DenseVector([54.0, 46.0, 39.0]), label=9.0, probability=DenseVector([0.0246, 0.0385, 0.0103, 0.0085, 0.0235, 0.0001, 0.1551, 0.0008, 0.0061, 0.4178, 0.0058, 0.3005, 0.0084, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 50.0, 25.0]), label=6.0, probability=DenseVector([0.0398, 0.0737, 0.0083, 0.0142, 0.0154, 0.0001, 0.6568, 0.0088, 0.0172, 0.1382, 0.0021, 0.0114, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 52.0, 34.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 54.0, 30.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 59.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 62.0, 22.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 62.0, 29.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 62.0, 39.0]), label=9.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 63.0, 12.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 63.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([54.0, 63.0, 36.0]), label=6.0, probability=DenseVector([0.0335, 0.0257, 0.0125, 0.0184, 0.0127, 0.0, 0.7912, 0.0067, 0.0231, 0.0505, 0.0034, 0.0053, 0.0171, 0.0001]))
Row(prediction=9.0, features=DenseVector([55.0, 6.0, 56.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 12.0, 60.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 13.0, 35.0]), label=0.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 14.0, 59.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 15.0, 36.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 15.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 15.0, 56.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 18.0, 54.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 21.0, 35.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 21.0, 51.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 22.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 27.0, 35.0]), label=9.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 29.0, 34.0]), label=9.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 29.0, 40.0]), label=11.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=11.0, features=DenseVector([55.0, 31.0, 39.0]), label=9.0, probability=DenseVector([0.0013, 0.0419, 0.0093, 0.0005, 0.0124, 0.0004, 0.0151, 0.0, 0.0009, 0.3403, 0.0007, 0.5613, 0.0159, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 31.0, 53.0]), label=9.0, probability=DenseVector([0.013, 0.137, 0.0874, 0.018, 0.0485, 0.0175, 0.0212, 0.0052, 0.0141, 0.4519, 0.0058, 0.1401, 0.0401, 0.0002]))
Row(prediction=9.0, features=DenseVector([55.0, 32.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([55.0, 34.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([55.0, 36.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([55.0, 36.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([55.0, 39.0, 41.0]), label=9.0, probability=DenseVector([0.0065, 0.0297, 0.026, 0.0093, 0.0232, 0.0057, 0.0298, 0.0002, 0.0012, 0.2726, 0.0023, 0.5847, 0.0086, 0.0002]))
Row(prediction=11.0, features=DenseVector([55.0, 41.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 44.0, 40.0]), label=6.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([55.0, 46.0, 50.0]), label=6.0, probability=DenseVector([0.0017, 0.0949, 0.0544, 0.0547, 0.0499, 0.0097, 0.0866, 0.0016, 0.0102, 0.5365, 0.0008, 0.0609, 0.0376, 0.0005]))
Row(prediction=9.0, features=DenseVector([55.0, 47.0, 30.0]), label=6.0, probability=DenseVector([0.0289, 0.1085, 0.0043, 0.0061, 0.0123, 0.0005, 0.3642, 0.0036, 0.0066, 0.409, 0.0024, 0.0354, 0.0179, 0.0001]))
Row(prediction=9.0, features=DenseVector([55.0, 50.0, 43.0]), label=9.0, probability=DenseVector([0.0023, 0.0367, 0.0506, 0.0295, 0.0458, 0.0066, 0.1268, 0.0002, 0.0032, 0.3753, 0.0008, 0.3108, 0.0109, 0.0003]))
Row(prediction=6.0, features=DenseVector([55.0, 51.0, 30.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([55.0, 53.0, 28.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([55.0, 57.0, 24.0]), label=6.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([55.0, 57.0, 39.0]), label=9.0, probability=DenseVector([0.0328, 0.0242, 0.0126, 0.019, 0.0132, 0.0, 0.7706, 0.0063, 0.0239, 0.0701, 0.0035, 0.0061, 0.0176, 0.0001]))
Row(prediction=9.0, features=DenseVector([55.0, 57.0, 55.0]), label=9.0, probability=DenseVector([0.0091, 0.0676, 0.0302, 0.0369, 0.0665, 0.003, 0.0932, 0.0038, 0.0294, 0.5789, 0.0096, 0.0282, 0.0433, 0.0002]))
Row(prediction=6.0, features=DenseVector([55.0, 62.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([55.0, 62.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([55.0, 63.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([55.0, 63.0, 33.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([55.0, 63.0, 34.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([55.0, 63.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=9.0, features=DenseVector([56.0, 0.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 0.0, 63.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 6.0, 53.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 11.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 17.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 18.0, 54.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 20.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 27.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 29.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=11.0, features=DenseVector([56.0, 30.0, 48.0]), label=9.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 31.0, 21.0]), label=12.0, probability=DenseVector([0.0127, 0.0886, 0.0052, 0.0032, 0.0133, 0.0012, 0.0627, 0.0021, 0.0011, 0.6681, 0.0018, 0.0942, 0.0458, 0.0]))
Row(prediction=11.0, features=DenseVector([56.0, 33.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([56.0, 34.0, 46.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([56.0, 35.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([56.0, 36.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 36.0, 54.0]), label=9.0, probability=DenseVector([0.019, 0.1251, 0.0455, 0.0304, 0.0533, 0.0732, 0.0211, 0.0078, 0.0144, 0.4199, 0.0102, 0.1333, 0.0443, 0.0025]))
Row(prediction=9.0, features=DenseVector([56.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 40.0, 27.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([56.0, 41.0, 42.0]), label=9.0, probability=DenseVector([0.0096, 0.0334, 0.0584, 0.0246, 0.0496, 0.0068, 0.0906, 0.0004, 0.0042, 0.3248, 0.0069, 0.3771, 0.0114, 0.0022]))
Row(prediction=11.0, features=DenseVector([56.0, 41.0, 43.0]), label=6.0, probability=DenseVector([0.0096, 0.0351, 0.0596, 0.0246, 0.0493, 0.0068, 0.0893, 0.0004, 0.0042, 0.3201, 0.0068, 0.3806, 0.0114, 0.0022]))
Row(prediction=9.0, features=DenseVector([56.0, 42.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 46.0, 32.0]), label=9.0, probability=DenseVector([0.0283, 0.1019, 0.0024, 0.004, 0.0127, 0.0005, 0.2704, 0.0028, 0.0024, 0.5115, 0.0019, 0.0408, 0.0204, 0.0001]))
Row(prediction=9.0, features=DenseVector([56.0, 47.0, 37.0]), label=6.0, probability=DenseVector([0.0268, 0.0377, 0.0127, 0.0125, 0.022, 0.0, 0.2242, 0.003, 0.0135, 0.3432, 0.0039, 0.2895, 0.0108, 0.0002]))
Row(prediction=6.0, features=DenseVector([56.0, 53.0, 29.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([56.0, 56.0, 30.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([56.0, 59.0, 25.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([56.0, 59.0, 43.0]), label=6.0, probability=DenseVector([0.0023, 0.0252, 0.0433, 0.0292, 0.028, 0.0066, 0.3328, 0.0002, 0.0029, 0.3282, 0.0008, 0.1852, 0.0152, 0.0003]))
Row(prediction=6.0, features=DenseVector([56.0, 60.0, 37.0]), label=6.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=6.0, features=DenseVector([56.0, 61.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([56.0, 61.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([56.0, 62.0, 24.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([56.0, 62.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([56.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=9.0, features=DenseVector([57.0, 0.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 1.0, 60.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 2.0, 56.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 5.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 5.0, 63.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 8.0, 53.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 9.0, 58.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 14.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 16.0, 56.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 19.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 19.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 20.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 23.0, 38.0]), label=9.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 26.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 27.0, 31.0]), label=12.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 27.0, 38.0]), label=9.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 29.0, 37.0]), label=9.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([57.0, 30.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0375, 0.0211, 0.0006, 0.0135, 0.0005, 0.0121, 0.0001, 0.0005, 0.2651, 0.0006, 0.6343, 0.012, 0.0]))
Row(prediction=11.0, features=DenseVector([57.0, 30.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 31.0, 35.0]), label=9.0, probability=DenseVector([0.0127, 0.0886, 0.0052, 0.0032, 0.0133, 0.0012, 0.0627, 0.0021, 0.0011, 0.6681, 0.0018, 0.0942, 0.0458, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 32.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 33.0, 61.0]), label=9.0, probability=DenseVector([0.018, 0.1218, 0.0442, 0.0279, 0.0756, 0.063, 0.0169, 0.007, 0.0157, 0.4186, 0.0104, 0.1335, 0.0455, 0.0019]))
Row(prediction=11.0, features=DenseVector([57.0, 34.0, 41.0]), label=9.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 35.0, 32.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 40.0, 28.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 40.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([57.0, 40.0, 42.0]), label=6.0, probability=DenseVector([0.0098, 0.0325, 0.0621, 0.0236, 0.0375, 0.0068, 0.0545, 0.0004, 0.0036, 0.2267, 0.0069, 0.5241, 0.0093, 0.0022]))
Row(prediction=11.0, features=DenseVector([57.0, 40.0, 42.0]), label=6.0, probability=DenseVector([0.0098, 0.0325, 0.0621, 0.0236, 0.0375, 0.0068, 0.0545, 0.0004, 0.0036, 0.2267, 0.0069, 0.5241, 0.0093, 0.0022]))
Row(prediction=9.0, features=DenseVector([57.0, 41.0, 30.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 41.0, 32.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 43.0, 48.0]), label=6.0, probability=DenseVector([0.0054, 0.0625, 0.0969, 0.0651, 0.0397, 0.0247, 0.0789, 0.0073, 0.016, 0.3748, 0.0014, 0.2047, 0.0169, 0.0056]))
Row(prediction=9.0, features=DenseVector([57.0, 47.0, 28.0]), label=6.0, probability=DenseVector([0.0213, 0.1972, 0.0037, 0.005, 0.0086, 0.0005, 0.3505, 0.0034, 0.0054, 0.3559, 0.0008, 0.0292, 0.0185, 0.0]))
Row(prediction=6.0, features=DenseVector([57.0, 49.0, 28.0]), label=6.0, probability=DenseVector([0.0393, 0.0981, 0.0083, 0.0142, 0.0152, 0.0001, 0.6304, 0.0088, 0.017, 0.1409, 0.0021, 0.0112, 0.0144, 0.0001]))
Row(prediction=9.0, features=DenseVector([57.0, 50.0, 49.0]), label=6.0, probability=DenseVector([0.0026, 0.0889, 0.036, 0.0389, 0.0499, 0.002, 0.0887, 0.001, 0.0107, 0.5735, 0.0018, 0.0688, 0.037, 0.0001]))
Row(prediction=6.0, features=DenseVector([57.0, 53.0, 33.0]), label=0.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([57.0, 53.0, 45.0]), label=6.0, probability=DenseVector([0.0031, 0.0376, 0.056, 0.0517, 0.0472, 0.0067, 0.1571, 0.0002, 0.0091, 0.4066, 0.0018, 0.2037, 0.0148, 0.0043]))
Row(prediction=6.0, features=DenseVector([57.0, 56.0, 37.0]), label=6.0, probability=DenseVector([0.0418, 0.0333, 0.0151, 0.0235, 0.0159, 0.0, 0.6978, 0.0079, 0.0285, 0.0979, 0.0036, 0.0094, 0.0253, 0.0001]))
Row(prediction=6.0, features=DenseVector([57.0, 56.0, 38.0]), label=9.0, probability=DenseVector([0.0418, 0.0333, 0.0151, 0.0235, 0.0159, 0.0, 0.6978, 0.0079, 0.0285, 0.0979, 0.0036, 0.0094, 0.0253, 0.0001]))
Row(prediction=9.0, features=DenseVector([57.0, 56.0, 46.0]), label=9.0, probability=DenseVector([0.0024, 0.0382, 0.0525, 0.0461, 0.0468, 0.0069, 0.1514, 0.0002, 0.0074, 0.4288, 0.0014, 0.2014, 0.0148, 0.0015]))
Row(prediction=6.0, features=DenseVector([57.0, 58.0, 32.0]), label=6.0, probability=DenseVector([0.0332, 0.0248, 0.0074, 0.013, 0.012, 0.0, 0.8351, 0.0076, 0.0173, 0.0353, 0.0023, 0.0032, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([57.0, 60.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([57.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([57.0, 62.0, 20.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([57.0, 62.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([57.0, 62.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([57.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([57.0, 63.0, 29.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([57.0, 63.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([57.0, 63.0, 46.0]), label=6.0, probability=DenseVector([0.0018, 0.0281, 0.0428, 0.0306, 0.0284, 0.0066, 0.2892, 0.0002, 0.0041, 0.362, 0.0008, 0.1847, 0.0204, 0.0003]))
Row(prediction=9.0, features=DenseVector([58.0, 8.0, 57.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 9.0, 55.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 12.0, 63.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 16.0, 51.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 16.0, 53.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 17.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 18.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 18.0, 59.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 19.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 20.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 20.0, 48.0]), label=9.0, probability=DenseVector([0.0011, 0.0863, 0.062, 0.002, 0.0092, 0.0021, 0.0038, 0.0001, 0.0007, 0.6728, 0.0008, 0.1314, 0.0275, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 21.0, 28.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 24.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 25.0, 38.0]), label=9.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 29.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=11.0, features=DenseVector([58.0, 31.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([58.0, 33.0, 43.0]), label=9.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([58.0, 35.0, 47.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 36.0, 62.0]), label=9.0, probability=DenseVector([0.018, 0.1218, 0.0442, 0.0279, 0.0756, 0.063, 0.0169, 0.007, 0.0157, 0.4186, 0.0104, 0.1335, 0.0455, 0.0019]))
Row(prediction=9.0, features=DenseVector([58.0, 39.0, 32.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 40.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([58.0, 41.0, 43.0]), label=6.0, probability=DenseVector([0.0096, 0.0351, 0.0596, 0.0246, 0.0493, 0.0068, 0.0893, 0.0004, 0.0042, 0.3201, 0.0068, 0.3806, 0.0114, 0.0022]))
Row(prediction=9.0, features=DenseVector([58.0, 43.0, 32.0]), label=9.0, probability=DenseVector([0.0266, 0.111, 0.0025, 0.0042, 0.014, 0.0006, 0.1567, 0.0024, 0.0018, 0.5939, 0.002, 0.0569, 0.0274, 0.0001]))
Row(prediction=9.0, features=DenseVector([58.0, 43.0, 43.0]), label=6.0, probability=DenseVector([0.0096, 0.0368, 0.057, 0.0249, 0.052, 0.0068, 0.1142, 0.0003, 0.0042, 0.358, 0.0068, 0.3157, 0.0115, 0.0022]))
Row(prediction=9.0, features=DenseVector([58.0, 45.0, 35.0]), label=9.0, probability=DenseVector([0.0268, 0.1126, 0.0023, 0.0041, 0.0134, 0.0006, 0.1754, 0.0023, 0.0018, 0.5783, 0.002, 0.0555, 0.0247, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0345, 0.0383, 0.0198, 0.0214, 0.0232, 0.0, 0.4229, 0.0068, 0.0266, 0.2612, 0.0036, 0.1287, 0.0129, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 52.0, 36.0]), label=9.0, probability=DenseVector([0.0505, 0.0453, 0.0162, 0.0257, 0.0189, 0.0, 0.6339, 0.0098, 0.0305, 0.1228, 0.0037, 0.0141, 0.0285, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 53.0, 26.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 56.0, 30.0]), label=6.0, probability=DenseVector([0.0449, 0.0457, 0.01, 0.0186, 0.0162, 0.0, 0.7647, 0.0101, 0.0221, 0.0412, 0.0025, 0.0058, 0.0183, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 62.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 62.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 62.0, 35.0]), label=6.0, probability=DenseVector([0.0338, 0.0263, 0.011, 0.0155, 0.0127, 0.0, 0.8062, 0.0075, 0.0202, 0.0432, 0.0027, 0.0046, 0.0162, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 63.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([58.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=9.0, features=DenseVector([59.0, 7.0, 60.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 10.0, 60.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 10.0, 60.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 14.0, 53.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 14.0, 54.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 16.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 17.0, 49.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 18.0, 51.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 20.0, 33.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 20.0, 54.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 21.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 22.0, 49.0]), label=9.0, probability=DenseVector([0.0036, 0.0955, 0.1366, 0.0024, 0.0158, 0.0024, 0.0058, 0.0004, 0.001, 0.6072, 0.0028, 0.0985, 0.0279, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 24.0, 30.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 24.0, 55.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 25.0, 50.0]), label=9.0, probability=DenseVector([0.0036, 0.0955, 0.1366, 0.0024, 0.0158, 0.0024, 0.0058, 0.0004, 0.001, 0.6072, 0.0028, 0.0985, 0.0279, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 26.0, 28.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 30.0, 35.0]), label=9.0, probability=DenseVector([0.0127, 0.0886, 0.0052, 0.0032, 0.0133, 0.0012, 0.0627, 0.0021, 0.0011, 0.6681, 0.0018, 0.0942, 0.0458, 0.0]))
Row(prediction=11.0, features=DenseVector([59.0, 32.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 33.0, 53.0]), label=9.0, probability=DenseVector([0.0172, 0.1281, 0.0573, 0.0258, 0.0507, 0.0807, 0.0208, 0.0072, 0.0132, 0.4113, 0.0112, 0.1325, 0.0412, 0.0028]))
Row(prediction=11.0, features=DenseVector([59.0, 34.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 35.0, 25.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 38.0, 28.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 43.0, 49.0]), label=6.0, probability=DenseVector([0.0051, 0.0916, 0.0935, 0.0675, 0.0463, 0.0247, 0.0617, 0.0073, 0.0165, 0.4747, 0.0013, 0.0694, 0.0348, 0.0056]))
Row(prediction=9.0, features=DenseVector([59.0, 45.0, 32.0]), label=9.0, probability=DenseVector([0.0268, 0.1126, 0.0023, 0.0041, 0.0134, 0.0006, 0.1754, 0.0023, 0.0018, 0.5783, 0.002, 0.0555, 0.0247, 0.0001]))
Row(prediction=9.0, features=DenseVector([59.0, 46.0, 49.0]), label=6.0, probability=DenseVector([0.0017, 0.0895, 0.0558, 0.055, 0.0486, 0.0097, 0.0835, 0.0016, 0.0096, 0.538, 0.0008, 0.0698, 0.0358, 0.0005]))
Row(prediction=6.0, features=DenseVector([59.0, 48.0, 23.0]), label=6.0, probability=DenseVector([0.0389, 0.0993, 0.0083, 0.0142, 0.0149, 0.0001, 0.6143, 0.0088, 0.017, 0.1581, 0.0021, 0.0115, 0.0125, 0.0001]))
Row(prediction=6.0, features=DenseVector([59.0, 49.0, 24.0]), label=6.0, probability=DenseVector([0.0393, 0.0981, 0.0083, 0.0142, 0.0152, 0.0001, 0.6304, 0.0088, 0.017, 0.1409, 0.0021, 0.0112, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([59.0, 50.0, 31.0]), label=6.0, probability=DenseVector([0.0398, 0.0737, 0.0083, 0.0142, 0.0154, 0.0001, 0.6568, 0.0088, 0.0172, 0.1382, 0.0021, 0.0114, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([59.0, 55.0, 40.0]), label=6.0, probability=DenseVector([0.0336, 0.0386, 0.0279, 0.0488, 0.0254, 0.0001, 0.4847, 0.007, 0.0327, 0.2546, 0.0032, 0.0245, 0.0147, 0.004]))
Row(prediction=6.0, features=DenseVector([59.0, 56.0, 39.0]), label=6.0, probability=DenseVector([0.0418, 0.0333, 0.0151, 0.0235, 0.0159, 0.0, 0.6978, 0.0079, 0.0285, 0.0979, 0.0036, 0.0094, 0.0253, 0.0001]))
Row(prediction=6.0, features=DenseVector([59.0, 57.0, 41.0]), label=6.0, probability=DenseVector([0.0228, 0.0287, 0.0316, 0.0403, 0.0297, 0.0058, 0.4848, 0.0052, 0.0206, 0.2789, 0.0029, 0.0337, 0.014, 0.0011]))
Row(prediction=6.0, features=DenseVector([59.0, 62.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([59.0, 63.0, 17.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([59.0, 63.0, 21.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([59.0, 63.0, 24.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([59.0, 63.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([59.0, 63.0, 32.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([60.0, 3.0, 62.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 13.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 13.0, 56.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 13.0, 62.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 15.0, 57.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 16.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 18.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 19.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 19.0, 53.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 19.0, 55.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 21.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 22.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 22.0, 47.0]), label=12.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 26.0, 55.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 27.0, 52.0]), label=9.0, probability=DenseVector([0.0081, 0.115, 0.1273, 0.0081, 0.0221, 0.0115, 0.0057, 0.0027, 0.0072, 0.5747, 0.0042, 0.0773, 0.036, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 28.0, 35.0]), label=9.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 28.0, 38.0]), label=9.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 28.0, 63.0]), label=9.0, probability=DenseVector([0.0118, 0.1241, 0.0558, 0.0092, 0.0306, 0.0114, 0.0074, 0.0018, 0.0078, 0.6289, 0.0059, 0.065, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 31.0, 55.0]), label=9.0, probability=DenseVector([0.013, 0.137, 0.0874, 0.018, 0.0485, 0.0175, 0.0212, 0.0052, 0.0141, 0.4519, 0.0058, 0.1401, 0.0401, 0.0002]))
Row(prediction=11.0, features=DenseVector([60.0, 42.0, 38.0]), label=6.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 44.0, 38.0]), label=9.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([60.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.0193, 0.0361, 0.0277, 0.0182, 0.037, 0.0062, 0.1297, 0.0004, 0.0034, 0.4262, 0.0081, 0.2798, 0.0068, 0.0012]))
Row(prediction=6.0, features=DenseVector([60.0, 50.0, 37.0]), label=6.0, probability=DenseVector([0.0345, 0.0383, 0.0198, 0.0214, 0.0232, 0.0, 0.4229, 0.0068, 0.0266, 0.2612, 0.0036, 0.1287, 0.0129, 0.0001]))
Row(prediction=6.0, features=DenseVector([60.0, 53.0, 25.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([60.0, 53.0, 32.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([60.0, 59.0, 25.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([60.0, 59.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([60.0, 61.0, 19.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([60.0, 63.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([60.0, 63.0, 28.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([60.0, 63.0, 30.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([61.0, 9.0, 60.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 10.0, 57.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 11.0, 53.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 16.0, 57.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 17.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 17.0, 48.0]), label=9.0, probability=DenseVector([0.0011, 0.0863, 0.062, 0.002, 0.0092, 0.0021, 0.0038, 0.0001, 0.0007, 0.6728, 0.0008, 0.1314, 0.0275, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 17.0, 49.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 18.0, 32.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 20.0, 52.0]), label=9.0, probability=DenseVector([0.0005, 0.0717, 0.0451, 0.002, 0.0128, 0.0031, 0.0059, 0.0007, 0.0029, 0.7787, 0.0003, 0.0466, 0.0297, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 22.0, 62.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 23.0, 50.0]), label=9.0, probability=DenseVector([0.0036, 0.0955, 0.1366, 0.0024, 0.0158, 0.0024, 0.0058, 0.0004, 0.001, 0.6072, 0.0028, 0.0985, 0.0279, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 24.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 24.0, 52.0]), label=9.0, probability=DenseVector([0.0081, 0.1139, 0.1264, 0.0081, 0.0208, 0.0115, 0.0057, 0.0027, 0.0072, 0.5817, 0.0042, 0.0765, 0.0332, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 25.0, 36.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 25.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 26.0, 52.0]), label=9.0, probability=DenseVector([0.0081, 0.1139, 0.1264, 0.0081, 0.0208, 0.0115, 0.0057, 0.0027, 0.0072, 0.5817, 0.0042, 0.0765, 0.0332, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 27.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 28.0, 48.0]), label=9.0, probability=DenseVector([0.0038, 0.0999, 0.1424, 0.0026, 0.0142, 0.0024, 0.0043, 0.0004, 0.001, 0.5315, 0.0029, 0.1673, 0.0275, 0.0]))
Row(prediction=11.0, features=DenseVector([61.0, 30.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([61.0, 32.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([61.0, 32.0, 47.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 32.0, 51.0]), label=9.0, probability=DenseVector([0.0036, 0.1273, 0.1509, 0.0046, 0.0379, 0.0024, 0.0211, 0.0004, 0.0033, 0.4101, 0.0027, 0.198, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([61.0, 37.0, 42.0]), label=9.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([61.0, 39.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 39.0, 52.0]), label=9.0, probability=DenseVector([0.0211, 0.1162, 0.1494, 0.0397, 0.047, 0.1027, 0.0193, 0.0082, 0.0128, 0.3066, 0.0189, 0.1199, 0.0348, 0.0032]))
Row(prediction=9.0, features=DenseVector([61.0, 40.0, 35.0]), label=6.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=6.0, features=DenseVector([61.0, 48.0, 25.0]), label=6.0, probability=DenseVector([0.0389, 0.0993, 0.0083, 0.0142, 0.0149, 0.0001, 0.6143, 0.0088, 0.017, 0.1581, 0.0021, 0.0115, 0.0125, 0.0001]))
Row(prediction=6.0, features=DenseVector([61.0, 50.0, 26.0]), label=6.0, probability=DenseVector([0.0398, 0.0737, 0.0083, 0.0142, 0.0154, 0.0001, 0.6568, 0.0088, 0.0172, 0.1382, 0.0021, 0.0114, 0.014, 0.0001]))
Row(prediction=6.0, features=DenseVector([61.0, 54.0, 37.0]), label=6.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=9.0, features=DenseVector([61.0, 54.0, 42.0]), label=6.0, probability=DenseVector([0.0033, 0.0362, 0.0565, 0.0518, 0.0479, 0.0067, 0.158, 0.0002, 0.0092, 0.4049, 0.0017, 0.2042, 0.0151, 0.0043]))
Row(prediction=6.0, features=DenseVector([61.0, 62.0, 23.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([61.0, 62.0, 31.0]), label=6.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([61.0, 63.0, 17.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([61.0, 63.0, 20.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=9.0, features=DenseVector([62.0, 7.0, 61.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 7.0, 62.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 8.0, 49.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 9.0, 51.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 10.0, 59.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 10.0, 61.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 12.0, 63.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 13.0, 54.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 13.0, 55.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 13.0, 62.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 13.0, 63.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 14.0, 53.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 14.0, 58.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 15.0, 55.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 18.0, 49.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 19.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 19.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 19.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 20.0, 49.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 20.0, 60.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 21.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 23.0, 49.0]), label=9.0, probability=DenseVector([0.0036, 0.0955, 0.1366, 0.0024, 0.0158, 0.0024, 0.0058, 0.0004, 0.001, 0.6072, 0.0028, 0.0985, 0.0279, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 23.0, 53.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 23.0, 54.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 23.0, 54.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 24.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 25.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 26.0, 51.0]), label=9.0, probability=DenseVector([0.0036, 0.0955, 0.1366, 0.0024, 0.0158, 0.0024, 0.0058, 0.0004, 0.001, 0.6072, 0.0028, 0.0985, 0.0279, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 28.0, 49.0]), label=9.0, probability=DenseVector([0.0036, 0.0966, 0.1376, 0.0024, 0.017, 0.0024, 0.0058, 0.0004, 0.001, 0.6002, 0.0028, 0.0994, 0.0308, 0.0]))
Row(prediction=11.0, features=DenseVector([62.0, 30.0, 42.0]), label=9.0, probability=DenseVector([0.0016, 0.0442, 0.045, 0.0014, 0.0142, 0.0, 0.0104, 0.0002, 0.0004, 0.1569, 0.0003, 0.7186, 0.0069, 0.0]))
Row(prediction=11.0, features=DenseVector([62.0, 30.0, 47.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([62.0, 30.0, 48.0]), label=9.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([62.0, 31.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0375, 0.0211, 0.0006, 0.0135, 0.0005, 0.0121, 0.0001, 0.0005, 0.2651, 0.0006, 0.6343, 0.012, 0.0]))
Row(prediction=11.0, features=DenseVector([62.0, 31.0, 47.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([62.0, 31.0, 47.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([62.0, 31.0, 48.0]), label=9.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([62.0, 37.0, 39.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 40.0, 33.0]), label=6.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([62.0, 40.0, 39.0]), label=6.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 44.0, 37.0]), label=6.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=6.0, features=DenseVector([62.0, 63.0, 23.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([62.0, 63.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([62.0, 63.0, 27.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=9.0, features=DenseVector([63.0, 13.0, 57.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 14.0, 51.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 15.0, 56.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 16.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 18.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 20.0, 51.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 21.0, 53.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 21.0, 61.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 22.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 23.0, 62.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 23.0, 62.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 24.0, 48.0]), label=9.0, probability=DenseVector([0.0038, 0.0988, 0.1414, 0.0026, 0.0129, 0.0024, 0.0043, 0.0004, 0.001, 0.5385, 0.0029, 0.1665, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 26.0, 50.0]), label=9.0, probability=DenseVector([0.0036, 0.0955, 0.1366, 0.0024, 0.0158, 0.0024, 0.0058, 0.0004, 0.001, 0.6072, 0.0028, 0.0985, 0.0279, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 26.0, 54.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 28.0, 38.0]), label=0.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 28.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 28.0, 49.0]), label=9.0, probability=DenseVector([0.0036, 0.0966, 0.1376, 0.0024, 0.017, 0.0024, 0.0058, 0.0004, 0.001, 0.6002, 0.0028, 0.0994, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 28.0, 55.0]), label=9.0, probability=DenseVector([0.0118, 0.1241, 0.0558, 0.0092, 0.0306, 0.0114, 0.0074, 0.0018, 0.0078, 0.6289, 0.0059, 0.065, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 29.0, 61.0]), label=9.0, probability=DenseVector([0.0118, 0.1241, 0.0558, 0.0092, 0.0306, 0.0114, 0.0074, 0.0018, 0.0078, 0.6289, 0.0059, 0.065, 0.0403, 0.0]))
Row(prediction=11.0, features=DenseVector([63.0, 30.0, 39.0]), label=9.0, probability=DenseVector([0.0013, 0.0419, 0.0093, 0.0005, 0.0124, 0.0004, 0.0151, 0.0, 0.0009, 0.3403, 0.0007, 0.5613, 0.0159, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 30.0, 49.0]), label=9.0, probability=DenseVector([0.0036, 0.1219, 0.1523, 0.0049, 0.0366, 0.0024, 0.018, 0.0004, 0.0027, 0.4117, 0.0027, 0.207, 0.0358, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 30.0, 51.0]), label=9.0, probability=DenseVector([0.0036, 0.1273, 0.1509, 0.0046, 0.0379, 0.0024, 0.0211, 0.0004, 0.0033, 0.4101, 0.0027, 0.198, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 35.0, 49.0]), label=9.0, probability=DenseVector([0.0036, 0.1219, 0.1523, 0.0049, 0.0366, 0.0024, 0.018, 0.0004, 0.0027, 0.4117, 0.0027, 0.207, 0.0358, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 45.0, 38.0]), label=6.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([63.0, 45.0, 41.0]), label=6.0, probability=DenseVector([0.0193, 0.0361, 0.0277, 0.0182, 0.037, 0.0062, 0.1297, 0.0004, 0.0034, 0.4262, 0.0081, 0.2798, 0.0068, 0.0012]))
Row(prediction=6.0, features=DenseVector([63.0, 53.0, 34.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([63.0, 54.0, 23.0]), label=6.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([63.0, 54.0, 36.0]), label=6.0, probability=DenseVector([0.0505, 0.0453, 0.0162, 0.0257, 0.0189, 0.0, 0.6339, 0.0098, 0.0305, 0.1228, 0.0037, 0.0141, 0.0285, 0.0001]))
Row(prediction=9.0, features=DenseVector([63.0, 54.0, 48.0]), label=6.0, probability=DenseVector([0.0035, 0.0621, 0.04, 0.0544, 0.0496, 0.0026, 0.1119, 0.001, 0.0159, 0.5385, 0.0044, 0.0879, 0.0258, 0.0024]))
Row(prediction=6.0, features=DenseVector([63.0, 57.0, 22.0]), label=6.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([63.0, 57.0, 35.0]), label=6.0, probability=DenseVector([0.0356, 0.0272, 0.011, 0.016, 0.0128, 0.0, 0.8003, 0.0079, 0.0212, 0.0441, 0.0029, 0.0046, 0.0164, 0.0001]))
Row(prediction=6.0, features=DenseVector([63.0, 58.0, 31.0]), label=6.0, probability=DenseVector([0.0332, 0.0248, 0.0074, 0.013, 0.012, 0.0, 0.8351, 0.0076, 0.0173, 0.0353, 0.0023, 0.0032, 0.0087, 0.0001]))
Row(prediction=6.0, features=DenseVector([63.0, 62.0, 26.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([63.0, 62.0, 29.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([63.0, 63.0, 22.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([63.0, 63.0, 25.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=6.0, features=DenseVector([63.0, 63.0, 29.0]), label=6.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 28.0]), label=10.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 30.0]), label=10.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 30.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 45.0, 38.0]), label=10.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 56.0, 30.0]), label=7.0, probability=DenseVector([0.1371, 0.0125, 0.0, 0.0, 0.1013, 0.0, 0.5517, 0.019, 0.0088, 0.0069, 0.154, 0.0008, 0.0079, 0.0]))
Row(prediction=1.0, features=DenseVector([1.0, 29.0, 29.0]), label=10.0, probability=DenseVector([0.1317, 0.2524, 0.0, 0.0003, 0.1842, 0.0, 0.0184, 0.1999, 0.0935, 0.0011, 0.0743, 0.0, 0.0441, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4856, 0.0755, 0.0, 0.0028, 0.255, 0.0, 0.0098, 0.0497, 0.0212, 0.0051, 0.0797, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 33.0, 28.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 30.0]), label=10.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 31.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 31.0]), label=10.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 45.0, 37.0]), label=10.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.1403, 0.1939, 0.0028, 0.0247, 0.0647, 0.0001, 0.2692, 0.05, 0.0763, 0.0132, 0.0643, 0.0046, 0.0959, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 43.0, 30.0]), label=4.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([2.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 44.0, 33.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([2.0, 46.0, 36.0]), label=9.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 50.0, 38.0]), label=0.0, probability=DenseVector([0.1292, 0.0128, 0.0, 0.0, 0.0871, 0.0, 0.5168, 0.0235, 0.0159, 0.0087, 0.1926, 0.0005, 0.0128, 0.0]))
Row(prediction=1.0, features=DenseVector([3.0, 23.0, 32.0]), label=8.0, probability=DenseVector([0.238, 0.2543, 0.0, 0.001, 0.1752, 0.0, 0.0275, 0.1658, 0.0514, 0.0008, 0.0547, 0.0001, 0.0312, 0.0]))
Row(prediction=1.0, features=DenseVector([3.0, 27.0, 29.0]), label=1.0, probability=DenseVector([0.1317, 0.2524, 0.0, 0.0003, 0.1842, 0.0, 0.0184, 0.1999, 0.0935, 0.0011, 0.0743, 0.0, 0.0441, 0.0]))
Row(prediction=1.0, features=DenseVector([3.0, 31.0, 12.0]), label=1.0, probability=DenseVector([0.1521, 0.1986, 0.0, 0.0004, 0.1933, 0.0, 0.015, 0.1964, 0.1248, 0.0, 0.0825, 0.0, 0.0368, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 30.0]), label=10.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 31.0]), label=10.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 37.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 40.0]), label=10.0, probability=DenseVector([0.4912, 0.0537, 0.0, 0.0003, 0.1423, 0.0, 0.0716, 0.0279, 0.0115, 0.0101, 0.1775, 0.0, 0.0138, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 43.0, 31.0]), label=10.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 44.0, 32.0]), label=4.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 31.0, 32.0]), label=4.0, probability=DenseVector([0.3307, 0.2091, 0.0, 0.0021, 0.2146, 0.0, 0.0179, 0.0996, 0.0346, 0.0005, 0.0646, 0.0, 0.0264, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 39.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 42.0, 47.0]), label=1.0, probability=DenseVector([0.1676, 0.1563, 0.0152, 0.0097, 0.0698, 0.0002, 0.3064, 0.0444, 0.0572, 0.017, 0.0858, 0.0039, 0.0662, 0.0003]))
Row(prediction=0.0, features=DenseVector([4.0, 43.0, 35.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 44.0, 32.0]), label=4.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 44.0, 37.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 45.0, 38.0]), label=10.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 45.0, 39.0]), label=4.0, probability=DenseVector([0.3043, 0.019, 0.0, 0.0, 0.2298, 0.0, 0.0921, 0.0229, 0.0111, 0.0059, 0.306, 0.0, 0.0089, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 47.0, 36.0]), label=4.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=12.0, features=DenseVector([5.0, 7.0, 61.0]), label=12.0, probability=DenseVector([0.0336, 0.2916, 0.0011, 0.0163, 0.0101, 0.0, 0.1049, 0.0444, 0.0786, 0.0442, 0.0133, 0.0014, 0.3606, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 30.0, 33.0]), label=0.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=4.0, features=DenseVector([5.0, 31.0, 31.0]), label=1.0, probability=DenseVector([0.2468, 0.1724, 0.0, 0.0023, 0.287, 0.0, 0.0145, 0.1061, 0.0521, 0.0, 0.0817, 0.0, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 31.0, 38.0]), label=4.0, probability=DenseVector([0.3066, 0.2246, 0.0, 0.0012, 0.1964, 0.0, 0.0539, 0.1033, 0.0314, 0.001, 0.0524, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([5.0, 33.0, 58.0]), label=12.0, probability=DenseVector([0.063, 0.2367, 0.0034, 0.0468, 0.0232, 0.0005, 0.1709, 0.0717, 0.1078, 0.0179, 0.0292, 0.0151, 0.2137, 0.0001]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 28.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 34.0, 49.0]), label=4.0, probability=DenseVector([0.1185, 0.2246, 0.0026, 0.0318, 0.0537, 0.0001, 0.2605, 0.0602, 0.0635, 0.0095, 0.0448, 0.0039, 0.1262, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 30.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 29.0]), label=4.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 34.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 39.0]), label=0.0, probability=DenseVector([0.3126, 0.0197, 0.0, 0.0, 0.2327, 0.0, 0.085, 0.0238, 0.0113, 0.0066, 0.2992, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 45.0, 39.0]), label=4.0, probability=DenseVector([0.3043, 0.019, 0.0, 0.0, 0.2298, 0.0, 0.0921, 0.0229, 0.0111, 0.0059, 0.306, 0.0, 0.0089, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 48.0, 39.0]), label=10.0, probability=DenseVector([0.1287, 0.0177, 0.0, 0.0, 0.0981, 0.0, 0.4506, 0.0193, 0.0106, 0.0155, 0.2524, 0.0003, 0.0068, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 30.0, 34.0]), label=4.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 27.0]), label=0.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 34.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 44.0, 32.0]), label=10.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 36.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 36.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 36.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 46.0, 37.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 48.0, 39.0]), label=10.0, probability=DenseVector([0.1287, 0.0177, 0.0, 0.0, 0.0981, 0.0, 0.4506, 0.0193, 0.0106, 0.0155, 0.2524, 0.0003, 0.0068, 0.0]))
Row(prediction=1.0, features=DenseVector([7.0, 25.0, 42.0]), label=1.0, probability=DenseVector([0.1779, 0.4019, 0.0007, 0.0093, 0.0715, 0.0009, 0.0585, 0.1023, 0.0183, 0.0197, 0.0445, 0.0006, 0.0938, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 31.0, 32.0]), label=4.0, probability=DenseVector([0.3732, 0.2209, 0.0, 0.0014, 0.1791, 0.0, 0.0126, 0.1002, 0.0377, 0.0005, 0.0431, 0.0, 0.0313, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 32.0, 34.0]), label=8.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=1.0, features=DenseVector([7.0, 32.0, 41.0]), label=7.0, probability=DenseVector([0.2633, 0.2877, 0.0008, 0.0092, 0.091, 0.0009, 0.064, 0.09, 0.0219, 0.0227, 0.0709, 0.0008, 0.0769, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 29.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 39.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=1.0, features=DenseVector([7.0, 39.0, 45.0]), label=1.0, probability=DenseVector([0.2382, 0.275, 0.0008, 0.0073, 0.0726, 0.0002, 0.0899, 0.069, 0.0461, 0.0121, 0.0867, 0.0034, 0.0987, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=1.0, features=DenseVector([7.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.2391, 0.2647, 0.0017, 0.0047, 0.0736, 0.0002, 0.0941, 0.0686, 0.0486, 0.0178, 0.0879, 0.003, 0.0962, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 38.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 33.0]), label=10.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 36.0]), label=10.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 38.0]), label=1.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 41.0]), label=10.0, probability=DenseVector([0.2345, 0.1508, 0.0027, 0.0014, 0.1198, 0.0, 0.095, 0.0633, 0.037, 0.0395, 0.2199, 0.0008, 0.0352, 0.0]))
Row(prediction=10.0, features=DenseVector([7.0, 44.0, 42.0]), label=10.0, probability=DenseVector([0.1753, 0.1311, 0.0027, 0.0014, 0.1279, 0.0, 0.1123, 0.0529, 0.0503, 0.0366, 0.2619, 0.0008, 0.0467, 0.0]))
Row(prediction=10.0, features=DenseVector([7.0, 44.0, 43.0]), label=10.0, probability=DenseVector([0.1741, 0.137, 0.0027, 0.0014, 0.1298, 0.0, 0.1107, 0.0502, 0.0513, 0.0335, 0.257, 0.0008, 0.0517, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 37.0]), label=10.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([7.0, 45.0, 42.0]), label=10.0, probability=DenseVector([0.1586, 0.0967, 0.0037, 0.0014, 0.1248, 0.0, 0.1326, 0.0508, 0.0476, 0.0398, 0.2958, 0.0007, 0.0476, 0.0]))
Row(prediction=10.0, features=DenseVector([7.0, 45.0, 44.0]), label=10.0, probability=DenseVector([0.149, 0.1065, 0.0164, 0.0084, 0.1158, 0.0002, 0.1243, 0.0532, 0.0642, 0.0356, 0.2621, 0.0031, 0.0609, 0.0003]))
Row(prediction=0.0, features=DenseVector([8.0, 29.0, 32.0]), label=8.0, probability=DenseVector([0.284, 0.2705, 0.0, 0.0003, 0.1422, 0.0, 0.0198, 0.1569, 0.0545, 0.0009, 0.0333, 0.0001, 0.0376, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 31.0, 36.0]), label=1.0, probability=DenseVector([0.3559, 0.2469, 0.0, 0.0014, 0.1653, 0.0, 0.0136, 0.111, 0.035, 0.0006, 0.0401, 0.0, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 31.0, 38.0]), label=0.0, probability=DenseVector([0.3215, 0.2686, 0.0, 0.0012, 0.1417, 0.0, 0.0139, 0.126, 0.0227, 0.0072, 0.0374, 0.0001, 0.0598, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 25.0]), label=7.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 28.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 39.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 28.0]), label=0.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 31.0]), label=10.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 29.0]), label=4.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 34.0]), label=10.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 42.0, 47.0]), label=1.0, probability=DenseVector([0.1897, 0.2101, 0.0154, 0.0084, 0.0783, 0.0002, 0.1295, 0.06, 0.0641, 0.0237, 0.1089, 0.0051, 0.1063, 0.0003]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 37.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([8.0, 44.0, 41.0]), label=4.0, probability=DenseVector([0.1944, 0.1344, 0.0027, 0.0014, 0.1244, 0.0, 0.1103, 0.0501, 0.0471, 0.0372, 0.2505, 0.0008, 0.0467, 0.0]))
Row(prediction=10.0, features=DenseVector([8.0, 44.0, 41.0]), label=4.0, probability=DenseVector([0.1944, 0.1344, 0.0027, 0.0014, 0.1244, 0.0, 0.1103, 0.0501, 0.0471, 0.0372, 0.2505, 0.0008, 0.0467, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 45.0, 35.0]), label=4.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 45.0, 37.0]), label=10.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 45.0, 39.0]), label=4.0, probability=DenseVector([0.3796, 0.0545, 0.0003, 0.0001, 0.2213, 0.0, 0.0336, 0.0436, 0.0247, 0.0261, 0.1928, 0.0002, 0.0231, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 46.0, 39.0]), label=4.0, probability=DenseVector([0.3714, 0.0537, 0.0003, 0.0001, 0.2183, 0.0, 0.0398, 0.044, 0.0246, 0.0257, 0.1998, 0.0002, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 47.0, 38.0]), label=10.0, probability=DenseVector([0.3939, 0.0384, 0.0, 0.0, 0.2316, 0.0, 0.0451, 0.0422, 0.024, 0.0223, 0.1833, 0.0, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 48.0, 45.0]), label=9.0, probability=DenseVector([0.1008, 0.0951, 0.0401, 0.0115, 0.086, 0.0002, 0.3517, 0.0265, 0.0638, 0.0352, 0.1303, 0.0076, 0.0507, 0.0004]))
Row(prediction=1.0, features=DenseVector([9.0, 21.0, 56.0]), label=12.0, probability=DenseVector([0.0618, 0.3675, 0.0011, 0.0085, 0.0179, 0.0, 0.0415, 0.0916, 0.0446, 0.0295, 0.0136, 0.0014, 0.321, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 28.0, 41.0]), label=1.0, probability=DenseVector([0.2083, 0.3113, 0.0007, 0.0092, 0.0883, 0.0009, 0.0566, 0.1162, 0.0182, 0.0268, 0.0528, 0.0007, 0.1099, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 29.0, 31.0]), label=1.0, probability=DenseVector([0.2439, 0.255, 0.0, 0.001, 0.1524, 0.0, 0.0108, 0.1621, 0.0847, 0.0004, 0.026, 0.0001, 0.0636, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 29.0, 32.0]), label=1.0, probability=DenseVector([0.284, 0.2705, 0.0, 0.0003, 0.1422, 0.0, 0.0198, 0.1569, 0.0545, 0.0009, 0.0333, 0.0001, 0.0376, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 29.0, 36.0]), label=1.0, probability=DenseVector([0.2581, 0.3385, 0.0, 0.0003, 0.1201, 0.0, 0.0414, 0.133, 0.0405, 0.0009, 0.0288, 0.0001, 0.0382, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 31.0, 21.0]), label=7.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 31.0, 22.0]), label=7.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 31.0, 31.0]), label=1.0, probability=DenseVector([0.3073, 0.2188, 0.0, 0.0013, 0.1764, 0.0, 0.007, 0.1241, 0.0755, 0.0001, 0.0311, 0.0, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 31.0, 32.0]), label=4.0, probability=DenseVector([0.3732, 0.2209, 0.0, 0.0014, 0.1791, 0.0, 0.0126, 0.1002, 0.0377, 0.0005, 0.0431, 0.0, 0.0313, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 31.0, 55.0]), label=12.0, probability=DenseVector([0.0648, 0.3374, 0.0014, 0.0369, 0.0183, 0.0005, 0.0552, 0.1354, 0.0495, 0.0145, 0.0128, 0.018, 0.2552, 0.0001]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 30.0]), label=4.0, probability=DenseVector([0.4342, 0.1142, 0.0, 0.0018, 0.2164, 0.0, 0.0066, 0.0759, 0.053, 0.0044, 0.0517, 0.0, 0.0416, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=7.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 39.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 30.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 29.0]), label=1.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 31.0]), label=1.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 39.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 32.0]), label=10.0, probability=DenseVector([0.4172, 0.0391, 0.0, 0.0, 0.2429, 0.0, 0.024, 0.0412, 0.0203, 0.0194, 0.1752, 0.0, 0.0205, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 36.0]), label=9.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 38.0]), label=10.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 41.0]), label=10.0, probability=DenseVector([0.4316, 0.1557, 0.001, 0.0004, 0.0979, 0.0, 0.0603, 0.0447, 0.0209, 0.0187, 0.1401, 0.0004, 0.0285, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 42.0, 45.0]), label=1.0, probability=DenseVector([0.2109, 0.2151, 0.0152, 0.0076, 0.0844, 0.0002, 0.1181, 0.0589, 0.0574, 0.0206, 0.118, 0.0046, 0.0887, 0.0003]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 32.0]), label=4.0, probability=DenseVector([0.4092, 0.038, 0.0, 0.0, 0.2421, 0.0, 0.0264, 0.042, 0.0233, 0.0199, 0.1773, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 39.0]), label=10.0, probability=DenseVector([0.3783, 0.0545, 0.0003, 0.0001, 0.223, 0.0, 0.0331, 0.0426, 0.0232, 0.0265, 0.195, 0.0002, 0.0231, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 40.0]), label=4.0, probability=DenseVector([0.2744, 0.068, 0.0003, 0.0001, 0.1886, 0.0, 0.0791, 0.0551, 0.0253, 0.0361, 0.2439, 0.0002, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 40.0]), label=4.0, probability=DenseVector([0.2744, 0.068, 0.0003, 0.0001, 0.1886, 0.0, 0.0791, 0.0551, 0.0253, 0.0361, 0.2439, 0.0002, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 31.0]), label=4.0, probability=DenseVector([0.4124, 0.0471, 0.0, 0.0, 0.2456, 0.0, 0.0263, 0.0471, 0.0299, 0.0128, 0.1516, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 31.0]), label=12.0, probability=DenseVector([0.4124, 0.0471, 0.0, 0.0, 0.2456, 0.0, 0.0263, 0.0471, 0.0299, 0.0128, 0.1516, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 46.0, 35.0]), label=9.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 46.0, 35.0]), label=9.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=10.0, features=DenseVector([9.0, 46.0, 40.0]), label=10.0, probability=DenseVector([0.2363, 0.0612, 0.0003, 0.0001, 0.1559, 0.0, 0.0971, 0.0406, 0.0402, 0.0329, 0.2944, 0.0002, 0.0407, 0.0]))
Row(prediction=10.0, features=DenseVector([9.0, 46.0, 40.0]), label=4.0, probability=DenseVector([0.2363, 0.0612, 0.0003, 0.0001, 0.1559, 0.0, 0.0971, 0.0406, 0.0402, 0.0329, 0.2944, 0.0002, 0.0407, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 47.0, 32.0]), label=4.0, probability=DenseVector([0.388, 0.0381, 0.0, 0.0, 0.2323, 0.0, 0.0475, 0.0426, 0.025, 0.021, 0.1854, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 47.0, 39.0]), label=10.0, probability=DenseVector([0.3571, 0.0546, 0.0003, 0.0001, 0.2131, 0.0, 0.0541, 0.0432, 0.0249, 0.0277, 0.2032, 0.0002, 0.0214, 0.0]))
Row(prediction=10.0, features=DenseVector([9.0, 47.0, 44.0]), label=12.0, probability=DenseVector([0.1264, 0.0873, 0.0403, 0.0116, 0.1077, 0.0002, 0.1827, 0.0426, 0.0685, 0.0391, 0.2318, 0.005, 0.0563, 0.0004]))
Row(prediction=6.0, features=DenseVector([9.0, 54.0, 33.0]), label=4.0, probability=DenseVector([0.2653, 0.0314, 0.0002, 0.0, 0.0976, 0.0, 0.4613, 0.0249, 0.0178, 0.0131, 0.0727, 0.0022, 0.0133, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 27.0, 34.0]), label=1.0, probability=DenseVector([0.2521, 0.3412, 0.0, 0.0003, 0.1152, 0.0, 0.0242, 0.1591, 0.0437, 0.001, 0.0278, 0.0004, 0.0351, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 27.0, 40.0]), label=1.0, probability=DenseVector([0.2087, 0.3686, 0.0, 0.0022, 0.0987, 0.0, 0.0395, 0.1034, 0.0156, 0.0176, 0.0453, 0.0002, 0.1003, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 28.0, 25.0]), label=8.0, probability=DenseVector([0.1377, 0.2972, 0.0, 0.0, 0.0903, 0.0, 0.0149, 0.2381, 0.1441, 0.0012, 0.0111, 0.0, 0.0654, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 28.0, 32.0]), label=1.0, probability=DenseVector([0.2765, 0.2788, 0.0, 0.0003, 0.1405, 0.0, 0.0193, 0.1607, 0.0535, 0.0009, 0.0323, 0.0001, 0.0371, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 28.0, 33.0]), label=1.0, probability=DenseVector([0.2514, 0.3298, 0.0, 0.0003, 0.1182, 0.0, 0.0238, 0.1598, 0.0501, 0.001, 0.0279, 0.0004, 0.0374, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 29.0, 34.0]), label=1.0, probability=DenseVector([0.2521, 0.3412, 0.0, 0.0003, 0.1152, 0.0, 0.0242, 0.1591, 0.0437, 0.001, 0.0278, 0.0004, 0.0351, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 30.0, 32.0]), label=1.0, probability=DenseVector([0.3588, 0.2395, 0.0, 0.0014, 0.1728, 0.0, 0.0113, 0.109, 0.0362, 0.0005, 0.0392, 0.0, 0.0315, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 30.0, 35.0]), label=4.0, probability=DenseVector([0.3414, 0.2654, 0.0, 0.0014, 0.1591, 0.0, 0.0123, 0.1197, 0.0334, 0.0006, 0.0362, 0.0, 0.0304, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 31.0, 25.0]), label=1.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 32.0]), label=7.0, probability=DenseVector([0.5178, 0.0825, 0.0, 0.0026, 0.2242, 0.0, 0.0083, 0.0535, 0.0246, 0.0052, 0.062, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 34.0]), label=1.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 35.0]), label=7.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 36.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 38.0]), label=1.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 39.0]), label=10.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 32.0, 44.0]), label=12.0, probability=DenseVector([0.1638, 0.3786, 0.0008, 0.0072, 0.041, 0.0009, 0.0479, 0.1205, 0.0316, 0.0114, 0.0403, 0.0008, 0.1553, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 30.0]), label=8.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 35.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 21.0]), label=8.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 28.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 29.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 29.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 29.0]), label=10.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 30.0]), label=7.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 27.0]), label=0.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 30.0]), label=10.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=7.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 39.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 40.0, 44.0]), label=1.0, probability=DenseVector([0.2597, 0.262, 0.0017, 0.0047, 0.0765, 0.0002, 0.0795, 0.0696, 0.046, 0.0181, 0.0889, 0.003, 0.0901, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 29.0]), label=0.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 32.0]), label=10.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 30.0]), label=0.0, probability=DenseVector([0.419, 0.0506, 0.0, 0.0, 0.2418, 0.0, 0.0249, 0.0488, 0.0303, 0.013, 0.1445, 0.0, 0.0269, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.419, 0.0506, 0.0, 0.0, 0.2418, 0.0, 0.0249, 0.0488, 0.0303, 0.013, 0.1445, 0.0, 0.0269, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.4158, 0.0415, 0.0, 0.0, 0.2383, 0.0, 0.0251, 0.0438, 0.0237, 0.0202, 0.1702, 0.0, 0.0215, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 38.0]), label=9.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 38.0]), label=4.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 38.0]), label=10.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 38.0]), label=9.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 42.0, 47.0]), label=9.0, probability=DenseVector([0.1897, 0.2101, 0.0154, 0.0084, 0.0783, 0.0002, 0.1295, 0.06, 0.0641, 0.0237, 0.1089, 0.0051, 0.1063, 0.0003]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 32.0]), label=10.0, probability=DenseVector([0.4077, 0.0404, 0.0, 0.0, 0.2375, 0.0, 0.0275, 0.0446, 0.0266, 0.0206, 0.1722, 0.0, 0.0227, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 32.0]), label=7.0, probability=DenseVector([0.4077, 0.0404, 0.0, 0.0, 0.2375, 0.0, 0.0275, 0.0446, 0.0266, 0.0206, 0.1722, 0.0, 0.0227, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 37.0]), label=4.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 38.0]), label=4.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=10.0, features=DenseVector([10.0, 43.0, 42.0]), label=10.0, probability=DenseVector([0.2155, 0.1476, 0.0027, 0.0014, 0.1233, 0.0, 0.0969, 0.066, 0.0402, 0.0389, 0.2314, 0.0008, 0.0352, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 32.0]), label=7.0, probability=DenseVector([0.4077, 0.0404, 0.0, 0.0, 0.2375, 0.0, 0.0275, 0.0446, 0.0266, 0.0206, 0.1722, 0.0, 0.0227, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 36.0]), label=4.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=10.0, features=DenseVector([10.0, 44.0, 43.0]), label=9.0, probability=DenseVector([0.1597, 0.1396, 0.0027, 0.0014, 0.1252, 0.0, 0.1081, 0.0502, 0.0562, 0.0335, 0.2732, 0.0008, 0.0495, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 45.0, 28.0]), label=0.0, probability=DenseVector([0.3853, 0.0556, 0.0, 0.0, 0.2183, 0.0, 0.0333, 0.0691, 0.0616, 0.0105, 0.1339, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 45.0, 39.0]), label=10.0, probability=DenseVector([0.3796, 0.0545, 0.0003, 0.0001, 0.2213, 0.0, 0.0336, 0.0436, 0.0247, 0.0261, 0.1928, 0.0002, 0.0231, 0.0]))
Row(prediction=10.0, features=DenseVector([10.0, 45.0, 41.0]), label=10.0, probability=DenseVector([0.1768, 0.1008, 0.0037, 0.0014, 0.1292, 0.0, 0.1271, 0.0436, 0.0497, 0.0377, 0.2843, 0.0007, 0.0449, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 46.0, 37.0]), label=10.0, probability=DenseVector([0.4067, 0.0399, 0.0, 0.0, 0.2322, 0.0, 0.0318, 0.0456, 0.027, 0.0211, 0.1748, 0.0, 0.0209, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 50.0, 33.0]), label=10.0, probability=DenseVector([0.2744, 0.0317, 0.0002, 0.0, 0.1198, 0.0, 0.3905, 0.0302, 0.0182, 0.0195, 0.0969, 0.0019, 0.0167, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 50.0, 33.0]), label=0.0, probability=DenseVector([0.2744, 0.0317, 0.0002, 0.0, 0.1198, 0.0, 0.3905, 0.0302, 0.0182, 0.0195, 0.0969, 0.0019, 0.0167, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 50.0, 43.0]), label=9.0, probability=DenseVector([0.1136, 0.0952, 0.0266, 0.0079, 0.08, 0.0, 0.4143, 0.0162, 0.0426, 0.0356, 0.1234, 0.005, 0.0386, 0.0011]))
Row(prediction=1.0, features=DenseVector([11.0, 24.0, 62.0]), label=12.0, probability=DenseVector([0.0496, 0.4023, 0.0016, 0.0356, 0.013, 0.0005, 0.0402, 0.0753, 0.0723, 0.0499, 0.0085, 0.004, 0.2471, 0.0001]))
Row(prediction=1.0, features=DenseVector([11.0, 27.0, 25.0]), label=1.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 27.0, 26.0]), label=8.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 27.0, 29.0]), label=8.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 27.0, 33.0]), label=1.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 27.0, 34.0]), label=1.0, probability=DenseVector([0.168, 0.396, 0.0, 0.0, 0.0916, 0.0, 0.0098, 0.1942, 0.0752, 0.0046, 0.0066, 0.0008, 0.0533, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 32.0]), label=1.0, probability=DenseVector([0.1626, 0.3623, 0.0, 0.0, 0.0979, 0.0, 0.0094, 0.2132, 0.0866, 0.0046, 0.0063, 0.0005, 0.0566, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 33.0]), label=1.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 33.0]), label=1.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 33.0]), label=1.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 37.0]), label=1.0, probability=DenseVector([0.1744, 0.486, 0.0, 0.0, 0.0742, 0.0, 0.0142, 0.117, 0.0496, 0.004, 0.0121, 0.0002, 0.0682, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 37.0]), label=1.0, probability=DenseVector([0.1744, 0.486, 0.0, 0.0, 0.0742, 0.0, 0.0142, 0.117, 0.0496, 0.004, 0.0121, 0.0002, 0.0682, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 29.0]), label=8.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 29.0]), label=0.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 33.0]), label=1.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 33.0]), label=1.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 36.0]), label=1.0, probability=DenseVector([0.1666, 0.4296, 0.0, 0.0, 0.0872, 0.0, 0.0117, 0.1697, 0.0664, 0.004, 0.0082, 0.0005, 0.0559, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 24.0]), label=1.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 26.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 32.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 33.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 33.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 33.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 35.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 35.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 37.0]), label=1.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 42.0]), label=1.0, probability=DenseVector([0.1191, 0.5078, 0.0008, 0.0106, 0.0341, 0.0009, 0.0414, 0.0713, 0.0463, 0.0143, 0.021, 0.0022, 0.13, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 28.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 30.0]), label=8.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 33.0]), label=4.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 33.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 35.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 35.0]), label=4.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 35.0]), label=4.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 35.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 36.0]), label=1.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 37.0]), label=1.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 26.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 28.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 24.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 39.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 21.0]), label=7.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 27.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=9.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 25.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 27.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 27.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 28.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=10.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 39.0]), label=9.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.3498, 0.2545, 0.0002, 0.001, 0.1068, 0.0, 0.0247, 0.0857, 0.0545, 0.0184, 0.0646, 0.0019, 0.0382, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.2399, 0.3626, 0.001, 0.0083, 0.0549, 0.0002, 0.0384, 0.091, 0.064, 0.0217, 0.0559, 0.0036, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 21.0]), label=7.0, probability=DenseVector([0.4299, 0.1132, 0.0, 0.0, 0.1681, 0.0, 0.0111, 0.1094, 0.0773, 0.0226, 0.0408, 0.0001, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=10.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 39.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 39.0, 41.0]), label=10.0, probability=DenseVector([0.2456, 0.3502, 0.001, 0.0082, 0.0557, 0.0002, 0.039, 0.0916, 0.0662, 0.0228, 0.059, 0.0034, 0.0571, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 39.0, 41.0]), label=8.0, probability=DenseVector([0.2456, 0.3502, 0.001, 0.0082, 0.0557, 0.0002, 0.039, 0.0916, 0.0662, 0.0228, 0.059, 0.0034, 0.0571, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 30.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 32.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.2506, 0.3547, 0.0008, 0.0045, 0.0584, 0.0002, 0.0375, 0.0896, 0.0621, 0.0242, 0.064, 0.0022, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.2197, 0.3738, 0.0008, 0.0045, 0.0561, 0.0002, 0.0385, 0.0927, 0.0656, 0.0249, 0.0602, 0.0029, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 40.0, 44.0]), label=4.0, probability=DenseVector([0.183, 0.3721, 0.002, 0.0057, 0.0548, 0.0002, 0.0545, 0.0976, 0.0763, 0.0307, 0.0482, 0.0045, 0.0703, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 26.0]), label=7.0, probability=DenseVector([0.3897, 0.1092, 0.0, 0.0, 0.1532, 0.0, 0.0207, 0.1253, 0.1068, 0.022, 0.04, 0.0001, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 28.0]), label=0.0, probability=DenseVector([0.3897, 0.1092, 0.0, 0.0, 0.1532, 0.0, 0.0207, 0.1253, 0.1068, 0.022, 0.04, 0.0001, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 30.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 34.0]), label=10.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 34.0]), label=1.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 42.0, 42.0]), label=9.0, probability=DenseVector([0.228, 0.3425, 0.0015, 0.0018, 0.0646, 0.0, 0.0485, 0.0893, 0.0652, 0.0292, 0.078, 0.0024, 0.0491, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 35.0]), label=7.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 38.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.1996, 0.2955, 0.0047, 0.0035, 0.0795, 0.0, 0.0674, 0.0986, 0.0718, 0.0435, 0.0862, 0.0028, 0.0471, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 31.0]), label=12.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 35.0]), label=10.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 39.0]), label=1.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 29.0]), label=0.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 31.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 37.0]), label=9.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 45.0, 41.0]), label=10.0, probability=DenseVector([0.185, 0.1894, 0.0055, 0.0026, 0.1122, 0.0, 0.1105, 0.0663, 0.0618, 0.062, 0.1571, 0.0022, 0.0454, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 46.0, 30.0]), label=8.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 46.0, 46.0]), label=4.0, probability=DenseVector([0.1387, 0.1529, 0.0397, 0.0136, 0.115, 0.0002, 0.1649, 0.0631, 0.0829, 0.0558, 0.1126, 0.0062, 0.0541, 0.0004]))
Row(prediction=6.0, features=DenseVector([11.0, 48.0, 40.0]), label=4.0, probability=DenseVector([0.2235, 0.0891, 0.0016, 0.0, 0.1319, 0.0, 0.2647, 0.0284, 0.047, 0.0399, 0.1267, 0.0024, 0.0448, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 55.0, 38.0]), label=7.0, probability=DenseVector([0.3078, 0.0539, 0.0002, 0.0, 0.1107, 0.0, 0.3351, 0.056, 0.0366, 0.0243, 0.0536, 0.0029, 0.0189, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 12.0, 56.0]), label=12.0, probability=DenseVector([0.042, 0.4292, 0.0012, 0.0124, 0.0106, 0.0, 0.0503, 0.0703, 0.0678, 0.0336, 0.007, 0.0029, 0.2728, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 19.0, 45.0]), label=1.0, probability=DenseVector([0.0904, 0.5581, 0.0007, 0.0088, 0.0225, 0.0002, 0.0387, 0.0735, 0.049, 0.0118, 0.0174, 0.0021, 0.1267, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 25.0, 43.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 26.0, 37.0]), label=1.0, probability=DenseVector([0.1629, 0.5096, 0.0, 0.0, 0.0716, 0.0, 0.0158, 0.1146, 0.0485, 0.0042, 0.0107, 0.0002, 0.062, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 27.0, 28.0]), label=8.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 27.0, 33.0]), label=4.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 27.0, 37.0]), label=1.0, probability=DenseVector([0.1744, 0.486, 0.0, 0.0, 0.0742, 0.0, 0.0142, 0.117, 0.0496, 0.004, 0.0121, 0.0002, 0.0682, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 19.0]), label=7.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 25.0]), label=8.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 34.0]), label=1.0, probability=DenseVector([0.168, 0.396, 0.0, 0.0, 0.0916, 0.0, 0.0098, 0.1942, 0.0752, 0.0046, 0.0066, 0.0008, 0.0533, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 23.0]), label=1.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 28.0]), label=4.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 31.0]), label=8.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 33.0]), label=1.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 33.0]), label=1.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 33.0]), label=1.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 33.0]), label=1.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 34.0]), label=1.0, probability=DenseVector([0.168, 0.396, 0.0, 0.0, 0.0916, 0.0, 0.0098, 0.1942, 0.0752, 0.0046, 0.0066, 0.0008, 0.0533, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 29.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 30.0]), label=0.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 32.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 32.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 33.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 33.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 33.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 33.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 37.0]), label=1.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 38.0]), label=1.0, probability=DenseVector([0.2304, 0.4535, 0.0, 0.0001, 0.0915, 0.0, 0.0081, 0.0941, 0.0359, 0.0039, 0.0173, 0.0004, 0.0649, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 26.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 27.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 28.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 32.0]), label=0.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 33.0]), label=4.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 35.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 36.0]), label=1.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 39.0]), label=1.0, probability=DenseVector([0.2191, 0.4831, 0.0, 0.0001, 0.0814, 0.0, 0.0079, 0.0899, 0.0341, 0.0038, 0.0172, 0.0004, 0.063, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 29.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 32.0, 40.0]), label=1.0, probability=DenseVector([0.2, 0.4265, 0.0001, 0.0035, 0.0724, 0.0, 0.0262, 0.0851, 0.0568, 0.0126, 0.0275, 0.002, 0.0872, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 32.0, 40.0]), label=1.0, probability=DenseVector([0.2, 0.4265, 0.0001, 0.0035, 0.0724, 0.0, 0.0262, 0.0851, 0.0568, 0.0126, 0.0275, 0.002, 0.0872, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 33.0, 40.0]), label=1.0, probability=DenseVector([0.2072, 0.4019, 0.0001, 0.0035, 0.0774, 0.0, 0.0261, 0.0904, 0.0611, 0.0137, 0.03, 0.0021, 0.0864, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 27.0]), label=8.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 29.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 30.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=8.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=8.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 27.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 28.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 28.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=9.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=9.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 24.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 26.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=9.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 39.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 36.0, 42.0]), label=1.0, probability=DenseVector([0.1543, 0.4475, 0.0012, 0.009, 0.0414, 0.0002, 0.0375, 0.1022, 0.0765, 0.0216, 0.0327, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 36.0, 43.0]), label=1.0, probability=DenseVector([0.1543, 0.4475, 0.0012, 0.009, 0.0414, 0.0002, 0.0375, 0.1022, 0.0765, 0.0216, 0.0327, 0.0039, 0.072, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 27.0]), label=0.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 27.0]), label=1.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 29.0]), label=12.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 29.0]), label=4.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 29.0]), label=4.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 30.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 30.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=9.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 28.0]), label=0.0, probability=DenseVector([0.4299, 0.1132, 0.0, 0.0, 0.1681, 0.0, 0.0111, 0.1094, 0.0773, 0.0226, 0.0408, 0.0001, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 27.0]), label=0.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 29.0]), label=4.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 30.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 30.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 41.0, 41.0]), label=10.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 41.0, 42.0]), label=9.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.12, 0.3598, 0.0049, 0.0239, 0.0418, 0.0001, 0.0749, 0.108, 0.0964, 0.0548, 0.0263, 0.0087, 0.0802, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 33.0]), label=7.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 37.0]), label=1.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1856, 0.3827, 0.0016, 0.0019, 0.0599, 0.0, 0.0487, 0.0962, 0.0715, 0.029, 0.0658, 0.0026, 0.0547, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 42.0, 50.0]), label=12.0, probability=DenseVector([0.1248, 0.327, 0.0164, 0.011, 0.0507, 0.0002, 0.0986, 0.0971, 0.0956, 0.0541, 0.038, 0.0087, 0.0775, 0.0003]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 32.0]), label=10.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 33.0]), label=10.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 39.0]), label=4.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 28.0]), label=7.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 36.0]), label=10.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 44.0, 41.0]), label=10.0, probability=DenseVector([0.1848, 0.2513, 0.0048, 0.0027, 0.0902, 0.0, 0.0898, 0.0823, 0.0681, 0.0613, 0.1162, 0.0025, 0.0459, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 45.0, 29.0]), label=0.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 45.0, 34.0]), label=9.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 45.0, 36.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 45.0, 40.0]), label=0.0, probability=DenseVector([0.2659, 0.1696, 0.0009, 0.0003, 0.1309, 0.0, 0.0708, 0.0794, 0.0662, 0.0554, 0.1205, 0.0019, 0.0383, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 45.0, 42.0]), label=10.0, probability=DenseVector([0.1859, 0.2205, 0.0058, 0.0027, 0.0981, 0.0, 0.1064, 0.0767, 0.0679, 0.065, 0.1219, 0.0026, 0.0464, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 45.0, 43.0]), label=0.0, probability=DenseVector([0.1859, 0.2205, 0.0058, 0.0027, 0.0981, 0.0, 0.1064, 0.0767, 0.0679, 0.065, 0.1219, 0.0026, 0.0464, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 45.0, 46.0]), label=1.0, probability=DenseVector([0.1567, 0.2203, 0.0185, 0.0098, 0.0987, 0.0002, 0.1272, 0.0831, 0.0889, 0.0623, 0.0688, 0.0056, 0.0596, 0.0003]))
Row(prediction=0.0, features=DenseVector([12.0, 46.0, 33.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 46.0, 38.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 46.0, 41.0]), label=10.0, probability=DenseVector([0.1906, 0.1934, 0.0067, 0.0027, 0.1025, 0.0, 0.1266, 0.0662, 0.069, 0.0612, 0.1339, 0.0024, 0.0447, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.1463, 0.1518, 0.0394, 0.0135, 0.1136, 0.0002, 0.187, 0.0591, 0.0871, 0.0624, 0.0779, 0.0069, 0.0542, 0.0004]))
Row(prediction=0.0, features=DenseVector([12.0, 47.0, 32.0]), label=12.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 48.0, 38.0]), label=9.0, probability=DenseVector([0.3276, 0.0732, 0.0002, 0.0, 0.1523, 0.0, 0.185, 0.069, 0.0411, 0.0343, 0.0786, 0.0011, 0.0376, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 49.0, 32.0]), label=4.0, probability=DenseVector([0.3506, 0.0607, 0.0002, 0.0, 0.1369, 0.0, 0.215, 0.0759, 0.0447, 0.0239, 0.056, 0.0018, 0.0342, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 50.0, 47.0]), label=1.0, probability=DenseVector([0.1457, 0.1043, 0.0409, 0.0123, 0.1122, 0.0002, 0.2761, 0.0296, 0.0694, 0.0558, 0.0954, 0.0091, 0.0487, 0.0004]))
Row(prediction=6.0, features=DenseVector([12.0, 52.0, 44.0]), label=10.0, probability=DenseVector([0.1476, 0.1186, 0.0421, 0.0118, 0.1015, 0.0002, 0.2757, 0.034, 0.0645, 0.0499, 0.0966, 0.0079, 0.0492, 0.0004]))
Row(prediction=1.0, features=DenseVector([13.0, 24.0, 38.0]), label=1.0, probability=DenseVector([0.1619, 0.5579, 0.0, 0.0001, 0.0662, 0.0, 0.0183, 0.09, 0.0359, 0.0043, 0.0102, 0.0003, 0.055, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 25.0, 43.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 26.0, 28.0]), label=8.0, probability=DenseVector([0.1453, 0.3485, 0.0, 0.0, 0.0886, 0.0, 0.0163, 0.2053, 0.1227, 0.0049, 0.005, 0.0004, 0.0629, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 27.0, 36.0]), label=1.0, probability=DenseVector([0.1683, 0.4219, 0.0, 0.0, 0.1005, 0.0, 0.0169, 0.1525, 0.0668, 0.004, 0.0119, 0.0009, 0.0563, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 27.0, 47.0]), label=1.0, probability=DenseVector([0.0621, 0.457, 0.0008, 0.0128, 0.0148, 0.0009, 0.0817, 0.0913, 0.0824, 0.0201, 0.0117, 0.0031, 0.1613, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 30.0]), label=4.0, probability=DenseVector([0.181, 0.3423, 0.0, 0.0, 0.1257, 0.0, 0.0098, 0.1879, 0.0852, 0.0046, 0.0084, 0.0009, 0.0544, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 33.0]), label=1.0, probability=DenseVector([0.1852, 0.3501, 0.0, 0.0, 0.1219, 0.0, 0.0101, 0.1818, 0.0833, 0.0046, 0.0088, 0.0012, 0.053, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 40.0]), label=1.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 29.0]), label=1.0, probability=DenseVector([0.1535, 0.3524, 0.0, 0.0, 0.0935, 0.0, 0.0113, 0.1897, 0.1238, 0.0051, 0.0051, 0.0004, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 39.0]), label=1.0, probability=DenseVector([0.1835, 0.5144, 0.0, 0.0, 0.0693, 0.0, 0.0143, 0.0921, 0.0372, 0.0041, 0.0134, 0.0004, 0.0714, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 26.0]), label=1.0, probability=DenseVector([0.197, 0.2775, 0.0, 0.0001, 0.1163, 0.0, 0.0064, 0.1714, 0.1636, 0.0027, 0.0083, 0.0003, 0.0563, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 30.0, 32.0]), label=4.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 30.0, 32.0]), label=4.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 30.0, 33.0]), label=4.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 38.0]), label=4.0, probability=DenseVector([0.2376, 0.4466, 0.0, 0.0001, 0.0992, 0.0, 0.008, 0.0887, 0.0338, 0.004, 0.0181, 0.0004, 0.0636, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 45.0]), label=1.0, probability=DenseVector([0.1091, 0.5023, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0702, 0.0534, 0.0143, 0.019, 0.0032, 0.153, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 26.0]), label=1.0, probability=DenseVector([0.197, 0.2775, 0.0, 0.0001, 0.1163, 0.0, 0.0064, 0.1714, 0.1636, 0.0027, 0.0083, 0.0003, 0.0563, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 30.0]), label=4.0, probability=DenseVector([0.2775, 0.2643, 0.0, 0.0002, 0.1805, 0.0, 0.004, 0.1379, 0.0732, 0.0041, 0.0139, 0.0003, 0.0442, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 31.0]), label=8.0, probability=DenseVector([0.2775, 0.2643, 0.0, 0.0002, 0.1805, 0.0, 0.004, 0.1379, 0.0732, 0.0041, 0.0139, 0.0003, 0.0442, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 34.0]), label=1.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 35.0]), label=1.0, probability=DenseVector([0.3001, 0.2609, 0.0, 0.0002, 0.1724, 0.0, 0.0038, 0.1302, 0.0661, 0.0041, 0.0174, 0.0003, 0.0446, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 36.0]), label=8.0, probability=DenseVector([0.308, 0.2706, 0.0, 0.0002, 0.1629, 0.0, 0.0037, 0.1266, 0.0617, 0.0037, 0.02, 0.0003, 0.0424, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 37.0]), label=0.0, probability=DenseVector([0.2533, 0.3887, 0.0, 0.0002, 0.1121, 0.0, 0.0065, 0.1135, 0.0468, 0.0039, 0.0188, 0.0002, 0.0559, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 38.0]), label=1.0, probability=DenseVector([0.2376, 0.4466, 0.0, 0.0001, 0.0992, 0.0, 0.008, 0.0887, 0.0338, 0.004, 0.0181, 0.0004, 0.0636, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 39.0]), label=0.0, probability=DenseVector([0.2263, 0.4762, 0.0, 0.0001, 0.0891, 0.0, 0.0078, 0.0845, 0.032, 0.004, 0.0181, 0.0004, 0.0617, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 39.0]), label=1.0, probability=DenseVector([0.2263, 0.4762, 0.0, 0.0001, 0.0891, 0.0, 0.0078, 0.0845, 0.032, 0.004, 0.0181, 0.0004, 0.0617, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 40.0]), label=1.0, probability=DenseVector([0.1265, 0.5538, 0.0001, 0.0033, 0.0375, 0.0, 0.0237, 0.0758, 0.0426, 0.0061, 0.0193, 0.0016, 0.1098, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 40.0]), label=1.0, probability=DenseVector([0.1265, 0.5538, 0.0001, 0.0033, 0.0375, 0.0, 0.0237, 0.0758, 0.0426, 0.0061, 0.0193, 0.0016, 0.1098, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 40.0]), label=1.0, probability=DenseVector([0.1265, 0.5538, 0.0001, 0.0033, 0.0375, 0.0, 0.0237, 0.0758, 0.0426, 0.0061, 0.0193, 0.0016, 0.1098, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 44.0]), label=0.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 54.0]), label=1.0, probability=DenseVector([0.0458, 0.4041, 0.0006, 0.0431, 0.0113, 0.0005, 0.0643, 0.1144, 0.0723, 0.0162, 0.0062, 0.0158, 0.2052, 0.0001]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 27.0]), label=1.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 28.0]), label=1.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 30.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 40.0]), label=8.0, probability=DenseVector([0.2, 0.4265, 0.0001, 0.0035, 0.0724, 0.0, 0.0262, 0.0851, 0.0568, 0.0126, 0.0275, 0.002, 0.0872, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 40.0]), label=1.0, probability=DenseVector([0.2, 0.4265, 0.0001, 0.0035, 0.0724, 0.0, 0.0262, 0.0851, 0.0568, 0.0126, 0.0275, 0.002, 0.0872, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 40.0]), label=1.0, probability=DenseVector([0.2, 0.4265, 0.0001, 0.0035, 0.0724, 0.0, 0.0262, 0.0851, 0.0568, 0.0126, 0.0275, 0.002, 0.0872, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 41.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 41.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 29.0]), label=1.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 33.0, 40.0]), label=0.0, probability=DenseVector([0.2072, 0.4019, 0.0001, 0.0035, 0.0774, 0.0, 0.0261, 0.0904, 0.0611, 0.0137, 0.03, 0.0021, 0.0864, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 33.0, 40.0]), label=1.0, probability=DenseVector([0.2072, 0.4019, 0.0001, 0.0035, 0.0774, 0.0, 0.0261, 0.0904, 0.0611, 0.0137, 0.03, 0.0021, 0.0864, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 33.0, 40.0]), label=1.0, probability=DenseVector([0.2072, 0.4019, 0.0001, 0.0035, 0.0774, 0.0, 0.0261, 0.0904, 0.0611, 0.0137, 0.03, 0.0021, 0.0864, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 29.0]), label=0.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 29.0]), label=4.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=10.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 34.0, 40.0]), label=1.0, probability=DenseVector([0.2072, 0.4019, 0.0001, 0.0035, 0.0774, 0.0, 0.0261, 0.0904, 0.0611, 0.0137, 0.03, 0.0021, 0.0864, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 29.0]), label=1.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=9.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=8.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.22, 0.3838, 0.0002, 0.0029, 0.0828, 0.0, 0.0242, 0.0979, 0.0674, 0.0162, 0.032, 0.0025, 0.0702, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 47.0]), label=1.0, probability=DenseVector([0.0915, 0.4469, 0.001, 0.0132, 0.0256, 0.0002, 0.0593, 0.1094, 0.077, 0.0276, 0.0162, 0.0051, 0.127, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=9.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=9.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 42.0]), label=1.0, probability=DenseVector([0.1543, 0.4475, 0.0012, 0.009, 0.0414, 0.0002, 0.0375, 0.1022, 0.0765, 0.0216, 0.0327, 0.0039, 0.072, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 28.0]), label=4.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 28.0]), label=1.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 29.0]), label=1.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=9.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=9.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=9.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 40.0]), label=8.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 41.0]), label=4.0, probability=DenseVector([0.1653, 0.4349, 0.0012, 0.0085, 0.0448, 0.0002, 0.0359, 0.1035, 0.0782, 0.0224, 0.0354, 0.004, 0.0657, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.1653, 0.4349, 0.0012, 0.0085, 0.0448, 0.0002, 0.0359, 0.1035, 0.0782, 0.0224, 0.0354, 0.004, 0.0657, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 28.0]), label=0.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 28.0]), label=0.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=9.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 40.0]), label=4.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 40.0]), label=4.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 40.0]), label=4.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 29.0]), label=12.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 41.0]), label=10.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 26.0]), label=7.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 28.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 28.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 31.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 31.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 47.0]), label=4.0, probability=DenseVector([0.1182, 0.3939, 0.003, 0.0075, 0.0344, 0.0002, 0.0669, 0.1135, 0.0935, 0.0471, 0.0244, 0.0054, 0.092, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=9.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=9.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 41.0, 41.0]), label=9.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 41.0, 41.0]), label=10.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 41.0, 44.0]), label=9.0, probability=DenseVector([0.1572, 0.4214, 0.0022, 0.0059, 0.0438, 0.0002, 0.0419, 0.1074, 0.0872, 0.031, 0.0343, 0.0035, 0.0642, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.1176, 0.3398, 0.0133, 0.0207, 0.0416, 0.0, 0.0759, 0.1039, 0.1025, 0.062, 0.0246, 0.0199, 0.0781, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 32.0]), label=7.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 33.0]), label=12.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 33.0]), label=7.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 34.0]), label=12.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=1.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 37.0]), label=12.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 37.0]), label=7.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 42.0, 41.0]), label=10.0, probability=DenseVector([0.1792, 0.3949, 0.0018, 0.002, 0.0562, 0.0, 0.0453, 0.1009, 0.0753, 0.0311, 0.054, 0.0028, 0.0563, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 34.0]), label=9.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 35.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 43.0, 41.0]), label=0.0, probability=DenseVector([0.174, 0.3352, 0.0053, 0.0038, 0.0644, 0.0, 0.0653, 0.1084, 0.0784, 0.0451, 0.0659, 0.0033, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.174, 0.3352, 0.0053, 0.0038, 0.0644, 0.0, 0.0653, 0.1084, 0.0784, 0.0451, 0.0659, 0.0033, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 32.0]), label=9.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 35.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 40.0]), label=10.0, probability=DenseVector([0.2558, 0.2127, 0.0018, 0.0006, 0.1172, 0.0, 0.062, 0.0966, 0.0738, 0.0565, 0.0802, 0.0026, 0.04, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 44.0, 45.0]), label=0.0, probability=DenseVector([0.1668, 0.2626, 0.0195, 0.0101, 0.0711, 0.0002, 0.0895, 0.0946, 0.0869, 0.0705, 0.0673, 0.0062, 0.0544, 0.0003]))
Row(prediction=1.0, features=DenseVector([13.0, 44.0, 47.0]), label=1.0, probability=DenseVector([0.1652, 0.2387, 0.0197, 0.011, 0.0754, 0.0002, 0.1093, 0.0846, 0.0861, 0.0803, 0.0622, 0.0068, 0.06, 0.0003]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 45.0, 42.0]), label=0.0, probability=DenseVector([0.1748, 0.2555, 0.0068, 0.0031, 0.0853, 0.0, 0.1028, 0.09, 0.0755, 0.0692, 0.0844, 0.0033, 0.0493, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 45.0, 48.0]), label=1.0, probability=DenseVector([0.1724, 0.2282, 0.0195, 0.0103, 0.0809, 0.0002, 0.1115, 0.0798, 0.0855, 0.0812, 0.0677, 0.0065, 0.0559, 0.0003]))
Row(prediction=0.0, features=DenseVector([13.0, 46.0, 34.0]), label=9.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 47.0, 41.0]), label=9.0, probability=DenseVector([0.1738, 0.1756, 0.0228, 0.0049, 0.0984, 0.0, 0.2033, 0.0504, 0.067, 0.0639, 0.0881, 0.0036, 0.0481, 0.0002]))
Row(prediction=6.0, features=DenseVector([13.0, 47.0, 42.0]), label=4.0, probability=DenseVector([0.1688, 0.1699, 0.0229, 0.0051, 0.0993, 0.0, 0.2088, 0.0511, 0.0671, 0.0658, 0.0896, 0.004, 0.0475, 0.0002]))
Row(prediction=6.0, features=DenseVector([13.0, 47.0, 43.0]), label=4.0, probability=DenseVector([0.1665, 0.1702, 0.0299, 0.0087, 0.0971, 0.0, 0.2033, 0.0506, 0.067, 0.0654, 0.0893, 0.004, 0.047, 0.0011]))
Row(prediction=0.0, features=DenseVector([13.0, 48.0, 36.0]), label=0.0, probability=DenseVector([0.3332, 0.0736, 0.0002, 0.0, 0.1531, 0.0, 0.182, 0.0683, 0.0404, 0.0325, 0.0776, 0.0011, 0.0378, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 48.0, 37.0]), label=9.0, probability=DenseVector([0.3332, 0.0736, 0.0002, 0.0, 0.1531, 0.0, 0.182, 0.0683, 0.0404, 0.0325, 0.0776, 0.0011, 0.0378, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 48.0, 40.0]), label=4.0, probability=DenseVector([0.2309, 0.1169, 0.003, 0.0002, 0.1325, 0.0, 0.2395, 0.0385, 0.0509, 0.0442, 0.0948, 0.0022, 0.0464, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 50.0, 37.0]), label=0.0, probability=DenseVector([0.3129, 0.0577, 0.0002, 0.0, 0.1189, 0.0, 0.3095, 0.0583, 0.0372, 0.0258, 0.0551, 0.0026, 0.0216, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 51.0, 34.0]), label=9.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 51.0, 40.0]), label=10.0, probability=DenseVector([0.2384, 0.0736, 0.0028, 0.0002, 0.1177, 0.0, 0.3337, 0.029, 0.0418, 0.0315, 0.0927, 0.003, 0.0356, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 1.0, 63.0]), label=12.0, probability=DenseVector([0.0395, 0.426, 0.0012, 0.0124, 0.0106, 0.0, 0.0503, 0.0715, 0.0762, 0.0526, 0.007, 0.0029, 0.25, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 10.0, 40.0]), label=1.0, probability=DenseVector([0.0825, 0.6155, 0.0001, 0.0033, 0.0277, 0.0, 0.0339, 0.0736, 0.0426, 0.0071, 0.0144, 0.0015, 0.0977, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 19.0, 36.0]), label=1.0, probability=DenseVector([0.214, 0.4184, 0.0, 0.0, 0.1215, 0.0, 0.0249, 0.0962, 0.0517, 0.0029, 0.0247, 0.0014, 0.0444, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 20.0, 44.0]), label=1.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 23.0, 42.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 24.0, 40.0]), label=1.0, probability=DenseVector([0.0825, 0.6155, 0.0001, 0.0033, 0.0277, 0.0, 0.0339, 0.0736, 0.0426, 0.0071, 0.0144, 0.0015, 0.0977, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 24.0, 42.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 24.0, 43.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 26.0, 36.0]), label=1.0, probability=DenseVector([0.214, 0.4184, 0.0, 0.0, 0.1215, 0.0, 0.0249, 0.0962, 0.0517, 0.0029, 0.0247, 0.0014, 0.0444, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 26.0, 39.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 26.0, 39.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 26.0, 41.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 27.0, 23.0]), label=1.0, probability=DenseVector([0.2131, 0.3377, 0.0, 0.0, 0.1201, 0.0, 0.0167, 0.1388, 0.1033, 0.005, 0.019, 0.0002, 0.0462, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 27.0, 38.0]), label=1.0, probability=DenseVector([0.2232, 0.4648, 0.0, 0.0, 0.0938, 0.0, 0.0207, 0.0668, 0.0372, 0.0033, 0.0246, 0.0001, 0.0656, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 27.0, 40.0]), label=1.0, probability=DenseVector([0.1041, 0.572, 0.0001, 0.0032, 0.0308, 0.0, 0.0299, 0.0757, 0.0439, 0.0069, 0.0176, 0.0016, 0.1141, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 27.0]), label=8.0, probability=DenseVector([0.2131, 0.3377, 0.0, 0.0, 0.1201, 0.0, 0.0167, 0.1388, 0.1033, 0.005, 0.019, 0.0002, 0.0462, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 43.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 26.0]), label=8.0, probability=DenseVector([0.2131, 0.3377, 0.0, 0.0, 0.1201, 0.0, 0.0167, 0.1388, 0.1033, 0.005, 0.019, 0.0002, 0.0462, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 28.0]), label=8.0, probability=DenseVector([0.2131, 0.3377, 0.0, 0.0, 0.1201, 0.0, 0.0167, 0.1388, 0.1033, 0.005, 0.019, 0.0002, 0.0462, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 31.0]), label=1.0, probability=DenseVector([0.4431, 0.1221, 0.0, 0.0, 0.2616, 0.0, 0.0043, 0.064, 0.0431, 0.0018, 0.0422, 0.0001, 0.0178, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 38.0]), label=1.0, probability=DenseVector([0.3828, 0.2753, 0.0, 0.0, 0.1729, 0.0, 0.0082, 0.045, 0.0237, 0.0023, 0.0432, 0.0001, 0.0466, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 30.0, 45.0]), label=1.0, probability=DenseVector([0.1091, 0.5023, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0702, 0.0534, 0.0143, 0.019, 0.0032, 0.153, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 27.0]), label=1.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 35.0]), label=8.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 40.0]), label=1.0, probability=DenseVector([0.1441, 0.547, 0.0001, 0.0032, 0.0509, 0.0, 0.0244, 0.0603, 0.0337, 0.0063, 0.0257, 0.0016, 0.1027, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 40.0]), label=1.0, probability=DenseVector([0.1441, 0.547, 0.0001, 0.0032, 0.0509, 0.0, 0.0244, 0.0603, 0.0337, 0.0063, 0.0257, 0.0016, 0.1027, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 48.0]), label=1.0, probability=DenseVector([0.0563, 0.4098, 0.0029, 0.0538, 0.0128, 0.0006, 0.0799, 0.1041, 0.0769, 0.0184, 0.0084, 0.0084, 0.1675, 0.0001]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 25.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 28.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 29.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 32.0, 40.0]), label=1.0, probability=DenseVector([0.2135, 0.4138, 0.0001, 0.0035, 0.0791, 0.0, 0.0261, 0.0788, 0.0541, 0.0111, 0.0319, 0.002, 0.0861, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 32.0, 42.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 32.0, 47.0]), label=1.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 28.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 28.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 31.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 33.0, 41.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 28.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 34.0, 42.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 34.0, 42.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 34.0, 45.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 21.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 27.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 40.0]), label=0.0, probability=DenseVector([0.2553, 0.3399, 0.0002, 0.0016, 0.1023, 0.0, 0.0207, 0.1002, 0.0706, 0.0155, 0.0437, 0.0024, 0.0475, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2553, 0.3399, 0.0002, 0.0016, 0.1023, 0.0, 0.0207, 0.1002, 0.0706, 0.0155, 0.0437, 0.0024, 0.0475, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.142, 0.4636, 0.0012, 0.009, 0.0389, 0.0002, 0.0357, 0.1054, 0.0784, 0.0214, 0.0275, 0.0039, 0.0728, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 41.0]), label=8.0, probability=DenseVector([0.142, 0.4636, 0.0012, 0.009, 0.0389, 0.0002, 0.0357, 0.1054, 0.0784, 0.0214, 0.0275, 0.0039, 0.0728, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 43.0]), label=1.0, probability=DenseVector([0.142, 0.4636, 0.0012, 0.009, 0.0389, 0.0002, 0.0357, 0.1054, 0.0784, 0.0214, 0.0275, 0.0039, 0.0728, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.1028, 0.4202, 0.0034, 0.0263, 0.0278, 0.0001, 0.0574, 0.1152, 0.0873, 0.0342, 0.0186, 0.0064, 0.1002, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 30.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.2664, 0.3273, 0.0002, 0.0012, 0.1057, 0.0, 0.0192, 0.1014, 0.0723, 0.0164, 0.0464, 0.0024, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.2664, 0.3273, 0.0002, 0.0012, 0.1057, 0.0, 0.0192, 0.1014, 0.0723, 0.0164, 0.0464, 0.0024, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.2664, 0.3273, 0.0002, 0.0012, 0.1057, 0.0, 0.0192, 0.1014, 0.0723, 0.0164, 0.0464, 0.0024, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 41.0]), label=1.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 42.0]), label=4.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 42.0]), label=8.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 44.0]), label=1.0, probability=DenseVector([0.1506, 0.4441, 0.0013, 0.0087, 0.042, 0.0002, 0.0372, 0.1071, 0.0825, 0.0241, 0.0301, 0.0042, 0.068, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 30.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.2726, 0.3043, 0.0002, 0.001, 0.1034, 0.0, 0.0201, 0.1078, 0.0772, 0.0182, 0.0522, 0.002, 0.0409, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 40.0]), label=1.0, probability=DenseVector([0.2726, 0.3043, 0.0002, 0.001, 0.1034, 0.0, 0.0201, 0.1078, 0.0772, 0.0182, 0.0522, 0.002, 0.0409, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 40.0]), label=1.0, probability=DenseVector([0.2726, 0.3043, 0.0002, 0.001, 0.1034, 0.0, 0.0201, 0.1078, 0.0772, 0.0182, 0.0522, 0.002, 0.0409, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 28.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 28.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 31.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=9.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=9.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 40.0]), label=4.0, probability=DenseVector([0.2694, 0.3026, 0.0002, 0.001, 0.1018, 0.0, 0.0203, 0.11, 0.079, 0.0184, 0.054, 0.002, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2694, 0.3026, 0.0002, 0.001, 0.1018, 0.0, 0.0203, 0.11, 0.079, 0.0184, 0.054, 0.002, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2694, 0.3026, 0.0002, 0.001, 0.1018, 0.0, 0.0203, 0.11, 0.079, 0.0184, 0.054, 0.002, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2694, 0.3026, 0.0002, 0.001, 0.1018, 0.0, 0.0203, 0.11, 0.079, 0.0184, 0.054, 0.002, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2694, 0.3026, 0.0002, 0.001, 0.1018, 0.0, 0.0203, 0.11, 0.079, 0.0184, 0.054, 0.002, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2694, 0.3026, 0.0002, 0.001, 0.1018, 0.0, 0.0203, 0.11, 0.079, 0.0184, 0.054, 0.002, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2694, 0.3026, 0.0002, 0.001, 0.1018, 0.0, 0.0203, 0.11, 0.079, 0.0184, 0.054, 0.002, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 42.0]), label=0.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 44.0]), label=1.0, probability=DenseVector([0.1563, 0.4317, 0.0013, 0.0086, 0.0428, 0.0002, 0.0377, 0.1077, 0.0847, 0.0252, 0.0331, 0.004, 0.0667, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 28.0]), label=7.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=9.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 39.0]), label=10.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 39.0]), label=4.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 39.0]), label=4.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 42.0]), label=0.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 47.0]), label=0.0, probability=DenseVector([0.1182, 0.3939, 0.003, 0.0075, 0.0344, 0.0002, 0.0669, 0.1135, 0.0935, 0.0471, 0.0244, 0.0054, 0.092, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 31.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 32.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=9.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=9.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 39.0]), label=9.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 39.0]), label=9.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 39.0]), label=7.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 43.0]), label=1.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.1572, 0.4214, 0.0022, 0.0059, 0.0438, 0.0002, 0.0419, 0.1074, 0.0872, 0.031, 0.0343, 0.0035, 0.0642, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 30.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 31.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 31.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=7.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.423, 0.0955, 0.0003, 0.0002, 0.1914, 0.0, 0.0262, 0.0823, 0.0626, 0.0202, 0.0736, 0.0006, 0.0241, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 42.0, 40.0]), label=1.0, probability=DenseVector([0.2474, 0.2865, 0.0004, 0.0011, 0.1013, 0.0, 0.0305, 0.114, 0.0823, 0.0242, 0.0666, 0.0023, 0.0433, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1669, 0.4111, 0.0018, 0.002, 0.0537, 0.0, 0.0435, 0.1041, 0.0771, 0.031, 0.0488, 0.0028, 0.0571, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1669, 0.4111, 0.0018, 0.002, 0.0537, 0.0, 0.0435, 0.1041, 0.0771, 0.031, 0.0488, 0.0028, 0.0571, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1669, 0.4111, 0.0018, 0.002, 0.0537, 0.0, 0.0435, 0.1041, 0.0771, 0.031, 0.0488, 0.0028, 0.0571, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 31.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 33.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 33.0]), label=9.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 33.0]), label=9.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 35.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 37.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 38.0]), label=10.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 39.0]), label=10.0, probability=DenseVector([0.3949, 0.1064, 0.0006, 0.0003, 0.1832, 0.0, 0.033, 0.0864, 0.068, 0.0236, 0.0754, 0.0007, 0.0274, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 39.0]), label=4.0, probability=DenseVector([0.3949, 0.1064, 0.0006, 0.0003, 0.1832, 0.0, 0.033, 0.0864, 0.068, 0.0236, 0.0754, 0.0007, 0.0274, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 40.0]), label=7.0, probability=DenseVector([0.2407, 0.2605, 0.0012, 0.0011, 0.1049, 0.0, 0.0401, 0.1195, 0.0828, 0.0332, 0.0733, 0.0025, 0.0402, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 40.0]), label=4.0, probability=DenseVector([0.2407, 0.2605, 0.0012, 0.0011, 0.1049, 0.0, 0.0401, 0.1195, 0.0828, 0.0332, 0.0733, 0.0025, 0.0402, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 40.0]), label=4.0, probability=DenseVector([0.2407, 0.2605, 0.0012, 0.0011, 0.1049, 0.0, 0.0401, 0.1195, 0.0828, 0.0332, 0.0733, 0.0025, 0.0402, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2407, 0.2605, 0.0012, 0.0011, 0.1049, 0.0, 0.0401, 0.1195, 0.0828, 0.0332, 0.0733, 0.0025, 0.0402, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2407, 0.2605, 0.0012, 0.0011, 0.1049, 0.0, 0.0401, 0.1195, 0.0828, 0.0332, 0.0733, 0.0025, 0.0402, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 44.0]), label=1.0, probability=DenseVector([0.1523, 0.3207, 0.0191, 0.011, 0.0553, 0.0002, 0.0698, 0.111, 0.0939, 0.0517, 0.0492, 0.0064, 0.059, 0.0003]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 30.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 31.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 32.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 32.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 33.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 34.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 34.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 35.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 40.0]), label=4.0, probability=DenseVector([0.244, 0.2176, 0.0018, 0.0006, 0.1153, 0.0, 0.0633, 0.0994, 0.0765, 0.055, 0.0852, 0.0026, 0.0386, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 44.0, 41.0]), label=10.0, probability=DenseVector([0.1737, 0.2863, 0.0058, 0.0031, 0.0773, 0.0, 0.0862, 0.0956, 0.0757, 0.0656, 0.0787, 0.0032, 0.0488, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 44.0, 43.0]), label=10.0, probability=DenseVector([0.1737, 0.2863, 0.0058, 0.0031, 0.0773, 0.0, 0.0862, 0.0956, 0.0757, 0.0656, 0.0787, 0.0032, 0.0488, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 44.0, 45.0]), label=4.0, probability=DenseVector([0.1668, 0.2626, 0.0195, 0.0101, 0.0711, 0.0002, 0.0895, 0.0946, 0.0869, 0.0705, 0.0673, 0.0062, 0.0544, 0.0003]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 34.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 34.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 36.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 38.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 38.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 39.0]), label=4.0, probability=DenseVector([0.3725, 0.1104, 0.0006, 0.0003, 0.1773, 0.0, 0.0435, 0.0914, 0.0736, 0.0251, 0.0744, 0.0007, 0.0301, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 40.0]), label=10.0, probability=DenseVector([0.243, 0.2095, 0.0018, 0.0006, 0.1161, 0.0, 0.0685, 0.0956, 0.0765, 0.0581, 0.088, 0.0026, 0.0397, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 46.0, 33.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 46.0, 36.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 46.0, 41.0]), label=4.0, probability=DenseVector([0.1801, 0.2424, 0.0082, 0.003, 0.0851, 0.0, 0.1181, 0.0818, 0.0774, 0.0676, 0.0829, 0.0031, 0.0503, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 47.0, 37.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 47.0, 42.0]), label=1.0, probability=DenseVector([0.1688, 0.1699, 0.0229, 0.0051, 0.0993, 0.0, 0.2088, 0.0511, 0.0671, 0.0658, 0.0896, 0.004, 0.0475, 0.0002]))
Row(prediction=0.0, features=DenseVector([14.0, 49.0, 37.0]), label=10.0, probability=DenseVector([0.3148, 0.0602, 0.0002, 0.0, 0.1477, 0.0, 0.2475, 0.0517, 0.0337, 0.0301, 0.0771, 0.0013, 0.0356, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 49.0, 47.0]), label=1.0, probability=DenseVector([0.1608, 0.1041, 0.0413, 0.0125, 0.1187, 0.0002, 0.2583, 0.0305, 0.0703, 0.0554, 0.09, 0.0095, 0.0478, 0.0004]))
Row(prediction=6.0, features=DenseVector([14.0, 51.0, 34.0]), label=0.0, probability=DenseVector([0.2919, 0.0399, 0.0002, 0.0, 0.1051, 0.0, 0.4003, 0.0407, 0.03, 0.0193, 0.0501, 0.0033, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 52.0, 37.0]), label=9.0, probability=DenseVector([0.2961, 0.0414, 0.0002, 0.0, 0.1074, 0.0, 0.3891, 0.0413, 0.0291, 0.0206, 0.0525, 0.0029, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 53.0, 37.0]), label=8.0, probability=DenseVector([0.2961, 0.0414, 0.0002, 0.0, 0.1074, 0.0, 0.3891, 0.0413, 0.0291, 0.0206, 0.0525, 0.0029, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 53.0, 53.0]), label=9.0, probability=DenseVector([0.1207, 0.1286, 0.0106, 0.0171, 0.1086, 0.0002, 0.1996, 0.0385, 0.0933, 0.0882, 0.1127, 0.0214, 0.0606, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 7.0, 32.0]), label=1.0, probability=DenseVector([0.208, 0.387, 0.0, 0.0, 0.1211, 0.0, 0.0241, 0.1214, 0.069, 0.003, 0.0204, 0.0007, 0.0454, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 19.0, 25.0]), label=1.0, probability=DenseVector([0.2038, 0.357, 0.0, 0.0, 0.1131, 0.0, 0.019, 0.1384, 0.0978, 0.0048, 0.0189, 0.0002, 0.0468, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 19.0, 44.0]), label=1.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 21.0, 42.0]), label=1.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 21.0, 44.0]), label=1.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 21.0, 47.0]), label=1.0, probability=DenseVector([0.0616, 0.4983, 0.0006, 0.0114, 0.0135, 0.0002, 0.0713, 0.0851, 0.0621, 0.0172, 0.0118, 0.0027, 0.1641, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 22.0, 37.0]), label=1.0, probability=DenseVector([0.2049, 0.4946, 0.0, 0.0, 0.0953, 0.0, 0.0265, 0.0627, 0.0358, 0.003, 0.0247, 0.0, 0.0525, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 22.0, 42.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 23.0, 40.0]), label=1.0, probability=DenseVector([0.0825, 0.6155, 0.0001, 0.0033, 0.0277, 0.0, 0.0339, 0.0736, 0.0426, 0.0071, 0.0144, 0.0015, 0.0977, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 24.0, 40.0]), label=1.0, probability=DenseVector([0.0825, 0.6155, 0.0001, 0.0033, 0.0277, 0.0, 0.0339, 0.0736, 0.0426, 0.0071, 0.0144, 0.0015, 0.0977, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 24.0, 45.0]), label=1.0, probability=DenseVector([0.0914, 0.5487, 0.0009, 0.0101, 0.0237, 0.0009, 0.0396, 0.0751, 0.0517, 0.0146, 0.0171, 0.0023, 0.1237, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 25.0, 38.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 25.0, 39.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 26.0, 23.0]), label=8.0, probability=DenseVector([0.2049, 0.3338, 0.0, 0.0, 0.1152, 0.0, 0.0216, 0.1545, 0.1022, 0.0048, 0.0189, 0.0002, 0.0439, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 26.0, 34.0]), label=4.0, probability=DenseVector([0.2158, 0.3854, 0.0, 0.0, 0.1257, 0.0, 0.0225, 0.1297, 0.0581, 0.003, 0.0209, 0.0017, 0.0373, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 26.0, 38.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 26.0, 39.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 26.0, 41.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 27.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 27.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 27.0, 45.0]), label=1.0, probability=DenseVector([0.1039, 0.4994, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0728, 0.0521, 0.0143, 0.019, 0.0032, 0.1598, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 27.0, 47.0]), label=1.0, probability=DenseVector([0.0621, 0.457, 0.0008, 0.0128, 0.0148, 0.0009, 0.0817, 0.0913, 0.0824, 0.0201, 0.0117, 0.0031, 0.1613, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 28.0, 43.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 28.0, 46.0]), label=1.0, probability=DenseVector([0.0877, 0.4743, 0.0009, 0.0121, 0.023, 0.0009, 0.0579, 0.0894, 0.0764, 0.0165, 0.0168, 0.0029, 0.1411, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 29.0, 27.0]), label=8.0, probability=DenseVector([0.2131, 0.3377, 0.0, 0.0, 0.1201, 0.0, 0.0167, 0.1388, 0.1033, 0.005, 0.019, 0.0002, 0.0462, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 27.0]), label=4.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 31.0]), label=4.0, probability=DenseVector([0.4431, 0.1221, 0.0, 0.0, 0.2616, 0.0, 0.0043, 0.064, 0.0431, 0.0018, 0.0422, 0.0001, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 30.0, 46.0]), label=1.0, probability=DenseVector([0.0885, 0.4607, 0.0009, 0.0118, 0.023, 0.0009, 0.068, 0.0916, 0.0767, 0.0162, 0.0161, 0.005, 0.1406, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 31.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 31.0, 36.0]), label=0.0, probability=DenseVector([0.4723, 0.124, 0.0, 0.0, 0.2437, 0.0, 0.0041, 0.055, 0.0341, 0.0018, 0.0483, 0.0001, 0.0167, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 31.0, 48.0]), label=1.0, probability=DenseVector([0.0563, 0.4098, 0.0029, 0.0538, 0.0128, 0.0006, 0.0799, 0.1041, 0.0769, 0.0184, 0.0084, 0.0084, 0.1675, 0.0001]))
Row(prediction=1.0, features=DenseVector([15.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0563, 0.4098, 0.0029, 0.0538, 0.0128, 0.0006, 0.0799, 0.1041, 0.0769, 0.0184, 0.0084, 0.0084, 0.1675, 0.0001]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 32.0, 42.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 32.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 37.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 33.0, 40.0]), label=1.0, probability=DenseVector([0.2207, 0.3892, 0.0001, 0.0035, 0.084, 0.0, 0.0261, 0.0841, 0.0584, 0.0122, 0.0344, 0.0021, 0.0853, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 33.0, 41.0]), label=12.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 33.0, 42.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 33.0, 43.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 33.0, 46.0]), label=1.0, probability=DenseVector([0.0944, 0.4725, 0.0012, 0.0123, 0.0263, 0.0009, 0.0533, 0.0976, 0.0679, 0.0219, 0.018, 0.0036, 0.13, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 28.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 39.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 43.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 43.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 55.0]), label=1.0, probability=DenseVector([0.062, 0.4257, 0.0048, 0.0219, 0.0176, 0.0, 0.0646, 0.1066, 0.0857, 0.0354, 0.0106, 0.0173, 0.1478, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.2309, 0.3694, 0.0003, 0.003, 0.0874, 0.0, 0.025, 0.0936, 0.0674, 0.0158, 0.0365, 0.0025, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 41.0]), label=8.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 42.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 43.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 40.0]), label=10.0, probability=DenseVector([0.2528, 0.3382, 0.0003, 0.0017, 0.1003, 0.0, 0.0215, 0.1022, 0.0733, 0.0168, 0.0438, 0.0024, 0.0467, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 40.0]), label=10.0, probability=DenseVector([0.2528, 0.3382, 0.0003, 0.0017, 0.1003, 0.0, 0.0215, 0.1022, 0.0733, 0.0168, 0.0438, 0.0024, 0.0467, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 42.0]), label=1.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 43.0]), label=1.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 44.0]), label=8.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 45.0]), label=1.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 49.0]), label=1.0, probability=DenseVector([0.1003, 0.4185, 0.0035, 0.0264, 0.0258, 0.0001, 0.0582, 0.1173, 0.09, 0.0354, 0.0187, 0.0064, 0.0994, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 27.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.2552, 0.3353, 0.0003, 0.0013, 0.1011, 0.0, 0.021, 0.1047, 0.0752, 0.0183, 0.0444, 0.0023, 0.0408, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 41.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 28.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 29.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 29.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 30.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 30.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 31.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 40.0]), label=1.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 40.0]), label=1.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 42.0]), label=10.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 42.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 43.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 43.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 21.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 28.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=4.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 47.0]), label=1.0, probability=DenseVector([0.1125, 0.4194, 0.0022, 0.0104, 0.0291, 0.0002, 0.0594, 0.1179, 0.0921, 0.0407, 0.0204, 0.0058, 0.0899, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 29.0]), label=4.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=9.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 40.0]), label=12.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=4.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 43.0]), label=10.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 57.0]), label=1.0, probability=DenseVector([0.1049, 0.3734, 0.0101, 0.0183, 0.0304, 0.0025, 0.0631, 0.1117, 0.1043, 0.0624, 0.0196, 0.0136, 0.0857, 0.0001]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 30.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 36.0]), label=9.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 36.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 39.0]), label=4.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 40.0]), label=10.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=9.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 45.0]), label=9.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 28.0]), label=7.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 29.0]), label=7.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 32.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 32.0]), label=8.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=7.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 38.0]), label=9.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 38.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 39.0]), label=9.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 39.0]), label=9.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 39.0]), label=9.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 40.0]), label=4.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 40.0]), label=9.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 40.0]), label=1.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 40.0]), label=1.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 41.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 44.0]), label=1.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 45.0]), label=1.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 30.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 31.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 32.0]), label=9.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 33.0]), label=9.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 36.0]), label=10.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 36.0]), label=7.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 38.0]), label=9.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 39.0]), label=10.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 39.0]), label=10.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 39.0]), label=0.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 43.0, 41.0]), label=4.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 43.0, 41.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 43.0, 42.0]), label=10.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 30.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 33.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 37.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 39.0]), label=10.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 39.0]), label=4.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2346, 0.2324, 0.0029, 0.001, 0.1081, 0.0, 0.0655, 0.1053, 0.0775, 0.0526, 0.0774, 0.0029, 0.0398, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.1644, 0.301, 0.0069, 0.0035, 0.0701, 0.0, 0.0884, 0.1014, 0.0767, 0.0631, 0.0709, 0.0036, 0.0501, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.1644, 0.301, 0.0069, 0.0035, 0.0701, 0.0, 0.0884, 0.1014, 0.0767, 0.0631, 0.0709, 0.0036, 0.0501, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 44.0, 45.0]), label=1.0, probability=DenseVector([0.1574, 0.2773, 0.0206, 0.0105, 0.0639, 0.0002, 0.0917, 0.1004, 0.0879, 0.0681, 0.0595, 0.0065, 0.0557, 0.0003]))
Row(prediction=1.0, features=DenseVector([15.0, 44.0, 47.0]), label=10.0, probability=DenseVector([0.1559, 0.2534, 0.0208, 0.0114, 0.0682, 0.0002, 0.1115, 0.0905, 0.087, 0.0779, 0.0545, 0.0072, 0.0613, 0.0003]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 25.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 38.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 39.0]), label=10.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 40.0]), label=4.0, probability=DenseVector([0.2336, 0.2242, 0.0029, 0.001, 0.1089, 0.0, 0.0706, 0.1014, 0.0775, 0.0556, 0.0802, 0.0029, 0.041, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 45.0, 41.0]), label=9.0, probability=DenseVector([0.1654, 0.2702, 0.0079, 0.0034, 0.0781, 0.0, 0.105, 0.0958, 0.0765, 0.0668, 0.0766, 0.0037, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 45.0, 44.0]), label=4.0, probability=DenseVector([0.1592, 0.2629, 0.0206, 0.0105, 0.0682, 0.0002, 0.0962, 0.0975, 0.0881, 0.0707, 0.0631, 0.0066, 0.056, 0.0003]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 37.0]), label=9.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 38.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 46.0, 43.0]), label=9.0, probability=DenseVector([0.1726, 0.2468, 0.0096, 0.0035, 0.0798, 0.0, 0.1207, 0.0874, 0.0778, 0.0726, 0.0749, 0.0037, 0.0506, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 36.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 48.0, 37.0]), label=0.0, probability=DenseVector([0.3205, 0.0614, 0.0002, 0.0, 0.1466, 0.0, 0.2339, 0.0532, 0.0354, 0.0317, 0.0773, 0.0007, 0.039, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 48.0, 46.0]), label=12.0, probability=DenseVector([0.1522, 0.1418, 0.0441, 0.0125, 0.0983, 0.0002, 0.2389, 0.0435, 0.0711, 0.0611, 0.0777, 0.0084, 0.0499, 0.0004]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 49.0]), label=1.0, probability=DenseVector([0.1482, 0.1118, 0.0416, 0.0138, 0.1122, 0.0002, 0.258, 0.0346, 0.075, 0.0589, 0.0852, 0.0117, 0.0483, 0.0004]))
Row(prediction=1.0, features=DenseVector([16.0, 16.0, 39.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 18.0, 41.0]), label=1.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 22.0, 40.0]), label=1.0, probability=DenseVector([0.0825, 0.6155, 0.0001, 0.0033, 0.0277, 0.0, 0.0339, 0.0736, 0.0426, 0.0071, 0.0144, 0.0015, 0.0977, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 22.0, 41.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 24.0, 39.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 25.0, 43.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 25.0, 44.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 25.0, 45.0]), label=1.0, probability=DenseVector([0.0914, 0.5487, 0.0009, 0.0101, 0.0237, 0.0009, 0.0396, 0.0751, 0.0517, 0.0146, 0.0171, 0.0023, 0.1237, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 25.0, 46.0]), label=1.0, probability=DenseVector([0.0838, 0.5184, 0.0009, 0.0119, 0.0217, 0.0009, 0.0484, 0.084, 0.0577, 0.0165, 0.0158, 0.0027, 0.1372, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 26.0, 42.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 26.0, 44.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 26.0, 44.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 26.0, 44.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 27.0, 43.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 27.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 27.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 27.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 28.0, 45.0]), label=1.0, probability=DenseVector([0.1039, 0.4994, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0728, 0.0521, 0.0143, 0.019, 0.0032, 0.1598, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 28.0, 48.0]), label=1.0, probability=DenseVector([0.0556, 0.4234, 0.0029, 0.0541, 0.0128, 0.0006, 0.0698, 0.1019, 0.0766, 0.0187, 0.0091, 0.0064, 0.168, 0.0001]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 30.0, 25.0]), label=1.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 30.0, 28.0]), label=1.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 30.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 31.0, 47.0]), label=1.0, probability=DenseVector([0.0628, 0.4434, 0.0008, 0.0125, 0.0148, 0.0009, 0.0918, 0.0935, 0.0828, 0.0198, 0.0111, 0.0051, 0.1608, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 29.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 32.0, 43.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 32.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 42.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 46.0]), label=1.0, probability=DenseVector([0.0944, 0.4725, 0.0012, 0.0123, 0.0263, 0.0009, 0.0533, 0.0976, 0.0679, 0.0219, 0.018, 0.0036, 0.13, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 41.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 41.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 43.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 45.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 45.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 46.0]), label=1.0, probability=DenseVector([0.0978, 0.4688, 0.0011, 0.0131, 0.0263, 0.0002, 0.051, 0.1024, 0.0704, 0.0197, 0.0182, 0.0046, 0.1265, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 43.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 43.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 45.0]), label=8.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 46.0]), label=1.0, probability=DenseVector([0.1103, 0.4588, 0.0013, 0.0126, 0.0304, 0.0002, 0.045, 0.1084, 0.0771, 0.0226, 0.021, 0.0049, 0.1073, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 21.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 40.0]), label=4.0, probability=DenseVector([0.2528, 0.3382, 0.0003, 0.0017, 0.1003, 0.0, 0.0215, 0.1022, 0.0733, 0.0168, 0.0438, 0.0024, 0.0467, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 43.0]), label=8.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 44.0]), label=8.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 44.0]), label=8.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 44.0]), label=1.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 30.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 42.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 40.0]), label=1.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 40.0]), label=1.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 41.0]), label=10.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 41.0]), label=4.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 42.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 44.0]), label=8.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 44.0]), label=8.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.1028, 0.4157, 0.0035, 0.026, 0.0266, 0.0001, 0.0576, 0.1198, 0.0919, 0.037, 0.0192, 0.0063, 0.0935, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0937, 0.3838, 0.0171, 0.0338, 0.0256, 0.0048, 0.0564, 0.1218, 0.1061, 0.043, 0.0178, 0.0116, 0.0844, 0.0002]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 28.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 40.0]), label=10.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 41.0]), label=10.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 41.0]), label=4.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 45.0]), label=8.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 30.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 39.0]), label=10.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 39.0]), label=7.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=4.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 43.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 43.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 37.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=4.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=9.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=9.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=4.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 40.0]), label=10.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 40.0]), label=0.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=7.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 43.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 45.0]), label=9.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 31.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 37.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 38.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 38.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 39.0]), label=10.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 40.0]), label=1.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 33.0]), label=9.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 38.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 39.0]), label=1.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 39.0]), label=10.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 39.0]), label=9.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 41.0]), label=0.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 41.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 41.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 42.0]), label=10.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 43.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 43.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 44.0]), label=1.0, probability=DenseVector([0.1394, 0.3371, 0.0194, 0.0113, 0.0492, 0.0002, 0.0719, 0.1146, 0.095, 0.053, 0.0427, 0.0063, 0.0594, 0.0003]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 45.0]), label=9.0, probability=DenseVector([0.1394, 0.3371, 0.0194, 0.0113, 0.0492, 0.0002, 0.0719, 0.1146, 0.095, 0.053, 0.0427, 0.0063, 0.0594, 0.0003]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 35.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=10.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 37.0]), label=10.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 40.0]), label=12.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 42.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 47.0]), label=0.0, probability=DenseVector([0.1449, 0.2709, 0.0218, 0.0116, 0.0608, 0.0002, 0.1152, 0.0952, 0.0884, 0.0757, 0.0445, 0.0086, 0.0617, 0.0003]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 38.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 39.0]), label=4.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 40.0]), label=9.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 40.0]), label=1.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 41.0]), label=1.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 32.0]), label=12.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 38.0]), label=10.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 46.0, 44.0]), label=1.0, probability=DenseVector([0.1413, 0.2503, 0.0453, 0.015, 0.0599, 0.0002, 0.117, 0.0979, 0.0879, 0.0735, 0.0491, 0.0096, 0.0526, 0.0004]))
Row(prediction=1.0, features=DenseVector([16.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.1481, 0.2182, 0.0447, 0.0148, 0.0726, 0.0002, 0.1432, 0.0835, 0.0861, 0.0771, 0.0496, 0.0097, 0.0518, 0.0004]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 40.0]), label=9.0, probability=DenseVector([0.2369, 0.189, 0.0086, 0.0017, 0.1131, 0.0, 0.1392, 0.0742, 0.069, 0.0514, 0.0691, 0.0027, 0.045, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.3162, 0.0599, 0.0002, 0.0, 0.1443, 0.0, 0.245, 0.0526, 0.0363, 0.0305, 0.0749, 0.0011, 0.0389, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 49.0, 40.0]), label=9.0, probability=DenseVector([0.2242, 0.0988, 0.0058, 0.0012, 0.1305, 0.0, 0.2866, 0.035, 0.0462, 0.0417, 0.0825, 0.0023, 0.0452, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 49.0, 40.0]), label=9.0, probability=DenseVector([0.2242, 0.0988, 0.0058, 0.0012, 0.1305, 0.0, 0.2866, 0.035, 0.0462, 0.0417, 0.0825, 0.0023, 0.0452, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 49.0, 47.0]), label=1.0, probability=DenseVector([0.1518, 0.1221, 0.0436, 0.0136, 0.1133, 0.0002, 0.2498, 0.0368, 0.0724, 0.0642, 0.0718, 0.0104, 0.0496, 0.0004]))
Row(prediction=6.0, features=DenseVector([16.0, 55.0, 36.0]), label=10.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 16.0, 40.0]), label=1.0, probability=DenseVector([0.0825, 0.6155, 0.0001, 0.0033, 0.0277, 0.0, 0.0339, 0.0736, 0.0426, 0.0071, 0.0144, 0.0015, 0.0977, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 20.0, 42.0]), label=1.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 21.0, 42.0]), label=1.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 23.0, 41.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 23.0, 42.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 25.0, 43.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 25.0, 44.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 25.0, 56.0]), label=12.0, probability=DenseVector([0.0434, 0.4119, 0.0016, 0.0367, 0.0106, 0.0005, 0.0493, 0.0821, 0.0666, 0.0345, 0.0062, 0.0043, 0.2521, 0.0001]))
Row(prediction=1.0, features=DenseVector([17.0, 26.0, 43.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 26.0, 45.0]), label=1.0, probability=DenseVector([0.0914, 0.5487, 0.0009, 0.0101, 0.0237, 0.0009, 0.0396, 0.0751, 0.0517, 0.0146, 0.0171, 0.0023, 0.1237, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 26.0, 45.0]), label=1.0, probability=DenseVector([0.0914, 0.5487, 0.0009, 0.0101, 0.0237, 0.0009, 0.0396, 0.0751, 0.0517, 0.0146, 0.0171, 0.0023, 0.1237, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 26.0, 45.0]), label=1.0, probability=DenseVector([0.0914, 0.5487, 0.0009, 0.0101, 0.0237, 0.0009, 0.0396, 0.0751, 0.0517, 0.0146, 0.0171, 0.0023, 0.1237, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 26.0, 46.0]), label=1.0, probability=DenseVector([0.0846, 0.522, 0.0009, 0.0116, 0.0217, 0.0009, 0.0456, 0.0849, 0.0574, 0.0161, 0.0152, 0.0027, 0.1364, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 27.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 30.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 30.0, 43.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 31.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 31.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 31.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 31.0, 46.0]), label=1.0, probability=DenseVector([0.0876, 0.4558, 0.0009, 0.0122, 0.023, 0.0009, 0.0558, 0.0939, 0.0943, 0.0162, 0.0161, 0.0035, 0.1397, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0573, 0.4088, 0.0029, 0.0544, 0.0128, 0.0006, 0.0682, 0.1098, 0.0831, 0.0184, 0.0084, 0.0064, 0.1687, 0.0001]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 45.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 45.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 45.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 48.0]), label=1.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 47.0]), label=1.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 47.0]), label=1.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 34.0, 44.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 34.0, 47.0]), label=1.0, probability=DenseVector([0.0763, 0.4552, 0.001, 0.0138, 0.0195, 0.0002, 0.0655, 0.1058, 0.0746, 0.0235, 0.0128, 0.0049, 0.147, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 30.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 44.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 47.0]), label=1.0, probability=DenseVector([0.089, 0.4452, 0.0011, 0.0132, 0.0236, 0.0002, 0.0601, 0.1115, 0.0797, 0.0288, 0.0163, 0.005, 0.1262, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 40.0]), label=10.0, probability=DenseVector([0.2528, 0.3382, 0.0003, 0.0017, 0.1003, 0.0, 0.0215, 0.1022, 0.0733, 0.0168, 0.0438, 0.0024, 0.0467, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 42.0]), label=1.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 43.0]), label=1.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 45.0]), label=1.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 46.0]), label=1.0, probability=DenseVector([0.1263, 0.4438, 0.0017, 0.01, 0.034, 0.0002, 0.0449, 0.1134, 0.0865, 0.0294, 0.0244, 0.0048, 0.0807, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.105, 0.4301, 0.0015, 0.0107, 0.0272, 0.0002, 0.06, 0.1164, 0.0891, 0.0356, 0.0196, 0.005, 0.0996, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 48.0]), label=1.0, probability=DenseVector([0.1003, 0.4185, 0.0035, 0.0264, 0.0258, 0.0001, 0.0582, 0.1173, 0.09, 0.0354, 0.0187, 0.0064, 0.0994, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 48.0]), label=1.0, probability=DenseVector([0.1003, 0.4185, 0.0035, 0.0264, 0.0258, 0.0001, 0.0582, 0.1173, 0.09, 0.0354, 0.0187, 0.0064, 0.0994, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.1003, 0.4185, 0.0035, 0.0264, 0.0258, 0.0001, 0.0582, 0.1173, 0.09, 0.0354, 0.0187, 0.0064, 0.0994, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 31.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 44.0]), label=8.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.1075, 0.4273, 0.0015, 0.0103, 0.028, 0.0002, 0.0595, 0.1188, 0.091, 0.0371, 0.0202, 0.0049, 0.0937, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.1075, 0.4273, 0.0015, 0.0103, 0.028, 0.0002, 0.0595, 0.1188, 0.091, 0.0371, 0.0202, 0.0049, 0.0937, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.1075, 0.4273, 0.0015, 0.0103, 0.028, 0.0002, 0.0595, 0.1188, 0.091, 0.0371, 0.0202, 0.0049, 0.0937, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 48.0]), label=12.0, probability=DenseVector([0.1028, 0.4157, 0.0035, 0.026, 0.0266, 0.0001, 0.0576, 0.1198, 0.0919, 0.037, 0.0192, 0.0063, 0.0935, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 30.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 31.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 43.0]), label=4.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 44.0]), label=8.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 44.0]), label=8.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 48.0]), label=1.0, probability=DenseVector([0.1028, 0.4157, 0.0035, 0.026, 0.0266, 0.0001, 0.0576, 0.1198, 0.0919, 0.037, 0.0192, 0.0063, 0.0935, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 50.0]), label=9.0, probability=DenseVector([0.1028, 0.4157, 0.0035, 0.026, 0.0266, 0.0001, 0.0576, 0.1198, 0.0919, 0.037, 0.0192, 0.0063, 0.0935, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 28.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 28.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 40.0]), label=10.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 40.0]), label=10.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 47.0]), label=1.0, probability=DenseVector([0.1125, 0.4194, 0.0022, 0.0104, 0.0291, 0.0002, 0.0594, 0.1179, 0.0921, 0.0407, 0.0204, 0.0058, 0.0899, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 49.0]), label=1.0, probability=DenseVector([0.1078, 0.4078, 0.0042, 0.0262, 0.0277, 0.0001, 0.0576, 0.1189, 0.093, 0.0405, 0.0195, 0.0072, 0.0897, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 38.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 35.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 40.0]), label=4.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 50.0]), label=4.0, probability=DenseVector([0.1152, 0.3749, 0.0051, 0.0242, 0.0374, 0.0001, 0.0716, 0.112, 0.0976, 0.0541, 0.0236, 0.0086, 0.0756, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 33.0]), label=7.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 37.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 38.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 38.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 38.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 38.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 39.0]), label=1.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 39.0]), label=1.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 40.0]), label=4.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 40.0]), label=4.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 40.0]), label=1.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 43.0]), label=4.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 43.0]), label=4.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 44.0]), label=1.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 45.0]), label=9.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 45.0]), label=4.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 48.0]), label=0.0, probability=DenseVector([0.1265, 0.3587, 0.0171, 0.0105, 0.0453, 0.0002, 0.0794, 0.1069, 0.0948, 0.0548, 0.0289, 0.0066, 0.07, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 48.0]), label=9.0, probability=DenseVector([0.1265, 0.3587, 0.0171, 0.0105, 0.0453, 0.0002, 0.0794, 0.1069, 0.0948, 0.0548, 0.0289, 0.0066, 0.07, 0.0003]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 28.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 39.0]), label=10.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 40.0]), label=10.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 41.0]), label=10.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 41.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 43.0]), label=9.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 59.0]), label=1.0, probability=DenseVector([0.1178, 0.3022, 0.0121, 0.0198, 0.0482, 0.0025, 0.0778, 0.1089, 0.104, 0.0777, 0.034, 0.0171, 0.0779, 0.0001]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 31.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=4.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 43.0]), label=9.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 43.0]), label=9.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 43.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 43.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 37.0]), label=10.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 40.0]), label=0.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 40.0]), label=0.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 40.0]), label=1.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 40.0]), label=1.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 45.0]), label=8.0, probability=DenseVector([0.1461, 0.286, 0.023, 0.0109, 0.0575, 0.0002, 0.0996, 0.1059, 0.0885, 0.0683, 0.0482, 0.0082, 0.0573, 0.0003]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 28.0]), label=12.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 30.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 33.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 40.0]), label=9.0, probability=DenseVector([0.2369, 0.189, 0.0086, 0.0017, 0.1131, 0.0, 0.1392, 0.0742, 0.069, 0.0514, 0.0691, 0.0027, 0.045, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 40.0]), label=9.0, probability=DenseVector([0.2369, 0.189, 0.0086, 0.0017, 0.1131, 0.0, 0.1392, 0.0742, 0.069, 0.0514, 0.0691, 0.0027, 0.045, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 40.0]), label=1.0, probability=DenseVector([0.2369, 0.189, 0.0086, 0.0017, 0.1131, 0.0, 0.1392, 0.0742, 0.069, 0.0514, 0.0691, 0.0027, 0.045, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 47.0, 42.0]), label=9.0, probability=DenseVector([0.1545, 0.1914, 0.0282, 0.0063, 0.0871, 0.0, 0.2248, 0.059, 0.0648, 0.0634, 0.0663, 0.0046, 0.0494, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 47.0, 44.0]), label=0.0, probability=DenseVector([0.1474, 0.1836, 0.0471, 0.0136, 0.0794, 0.0002, 0.1979, 0.0635, 0.0735, 0.0697, 0.0618, 0.009, 0.0529, 0.0004]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 30.0]), label=1.0, probability=DenseVector([0.3141, 0.0526, 0.0002, 0.0, 0.1155, 0.0, 0.3141, 0.0592, 0.0435, 0.0241, 0.0414, 0.0009, 0.0344, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 35.0]), label=9.0, probability=DenseVector([0.3, 0.0653, 0.0005, 0.0, 0.1099, 0.0, 0.3135, 0.0498, 0.0391, 0.0364, 0.0505, 0.0004, 0.0344, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 35.0]), label=9.0, probability=DenseVector([0.3, 0.0653, 0.0005, 0.0, 0.1099, 0.0, 0.3135, 0.0498, 0.0391, 0.0364, 0.0505, 0.0004, 0.0344, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 42.0]), label=9.0, probability=DenseVector([0.17, 0.1531, 0.0266, 0.0059, 0.0954, 0.0, 0.2719, 0.0446, 0.056, 0.0563, 0.0694, 0.0045, 0.0461, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 41.0]), label=4.0, probability=DenseVector([0.1778, 0.1268, 0.0254, 0.0055, 0.1077, 0.0, 0.2957, 0.0375, 0.0526, 0.0473, 0.074, 0.004, 0.0455, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 42.0]), label=10.0, probability=DenseVector([0.1778, 0.1268, 0.0254, 0.0055, 0.1077, 0.0, 0.2957, 0.0375, 0.0526, 0.0473, 0.074, 0.004, 0.0455, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 34.0]), label=0.0, probability=DenseVector([0.2697, 0.0438, 0.0002, 0.0, 0.0906, 0.0, 0.4343, 0.0415, 0.0336, 0.0208, 0.0448, 0.0024, 0.0182, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 52.0, 54.0]), label=9.0, probability=DenseVector([0.1167, 0.1431, 0.026, 0.019, 0.1037, 0.0002, 0.2019, 0.048, 0.0892, 0.0922, 0.0756, 0.0236, 0.0606, 0.0001]))
Row(prediction=6.0, features=DenseVector([17.0, 54.0, 29.0]), label=0.0, probability=DenseVector([0.249, 0.0399, 0.0002, 0.0, 0.0775, 0.0, 0.4633, 0.0465, 0.0434, 0.0185, 0.04, 0.0024, 0.0192, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 5.0, 41.0]), label=12.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 9.0, 34.0]), label=1.0, probability=DenseVector([0.1796, 0.4138, 0.0, 0.0, 0.1163, 0.0, 0.0325, 0.1279, 0.0582, 0.0051, 0.0252, 0.0017, 0.0398, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 16.0, 41.0]), label=1.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 21.0, 38.0]), label=1.0, probability=DenseVector([0.1654, 0.5368, 0.0, 0.0001, 0.0813, 0.0, 0.0347, 0.0629, 0.036, 0.0056, 0.0256, 0.0, 0.0517, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 23.0, 48.0]), label=1.0, probability=DenseVector([0.0557, 0.4454, 0.0033, 0.0575, 0.0119, 0.0006, 0.0442, 0.096, 0.0719, 0.0189, 0.0083, 0.0059, 0.1802, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 24.0, 46.0]), label=1.0, probability=DenseVector([0.0843, 0.5246, 0.0009, 0.013, 0.0213, 0.0009, 0.0404, 0.0803, 0.0553, 0.0173, 0.0151, 0.0026, 0.144, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 24.0, 47.0]), label=1.0, probability=DenseVector([0.0616, 0.4773, 0.0008, 0.0152, 0.0139, 0.0009, 0.051, 0.092, 0.0859, 0.0197, 0.0098, 0.0031, 0.1689, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 26.0, 42.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 26.0, 44.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 26.0, 55.0]), label=12.0, probability=DenseVector([0.0433, 0.41, 0.0016, 0.0395, 0.0107, 0.0005, 0.0415, 0.0777, 0.066, 0.0365, 0.0066, 0.0078, 0.2585, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 27.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 27.0, 46.0]), label=1.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 27.0, 46.0]), label=1.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 27.0, 47.0]), label=1.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 45.0]), label=1.0, probability=DenseVector([0.1006, 0.4904, 0.0009, 0.0104, 0.0253, 0.0009, 0.0382, 0.0793, 0.0708, 0.0143, 0.019, 0.0024, 0.1476, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 47.0]), label=1.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 47.0]), label=1.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 49.0]), label=1.0, probability=DenseVector([0.056, 0.3789, 0.0033, 0.0654, 0.0127, 0.0006, 0.0548, 0.1225, 0.0916, 0.0184, 0.0083, 0.0073, 0.1801, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 49.0]), label=1.0, probability=DenseVector([0.056, 0.3789, 0.0033, 0.0654, 0.0127, 0.0006, 0.0548, 0.1225, 0.0916, 0.0184, 0.0083, 0.0073, 0.1801, 0.0001]))
Row(prediction=0.0, features=DenseVector([18.0, 31.0, 33.0]), label=4.0, probability=DenseVector([0.4338, 0.118, 0.0, 0.0, 0.2684, 0.0, 0.0093, 0.0565, 0.036, 0.0017, 0.0588, 0.0, 0.0175, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 47.0]), label=1.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 48.0]), label=1.0, probability=DenseVector([0.056, 0.3789, 0.0033, 0.0654, 0.0127, 0.0006, 0.0548, 0.1225, 0.0916, 0.0184, 0.0083, 0.0073, 0.1801, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 49.0]), label=1.0, probability=DenseVector([0.056, 0.3789, 0.0033, 0.0654, 0.0127, 0.0006, 0.0548, 0.1225, 0.0916, 0.0184, 0.0083, 0.0073, 0.1801, 0.0001]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 33.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 32.0, 47.0]), label=1.0, probability=DenseVector([0.0711, 0.4475, 0.001, 0.0157, 0.0188, 0.0009, 0.0581, 0.1073, 0.0832, 0.0249, 0.0126, 0.004, 0.1548, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 32.0, 47.0]), label=1.0, probability=DenseVector([0.0711, 0.4475, 0.001, 0.0157, 0.0188, 0.0009, 0.0581, 0.1073, 0.0832, 0.0249, 0.0126, 0.004, 0.1548, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 32.0, 48.0]), label=1.0, probability=DenseVector([0.0652, 0.4164, 0.0036, 0.0571, 0.0168, 0.0006, 0.0522, 0.1102, 0.0808, 0.0234, 0.0111, 0.007, 0.1556, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.0563, 0.4255, 0.0009, 0.0441, 0.0157, 0.0005, 0.0526, 0.1151, 0.0753, 0.0226, 0.0094, 0.0196, 0.1624, 0.0001]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 42.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 48.0]), label=1.0, probability=DenseVector([0.0652, 0.4164, 0.0036, 0.0571, 0.0168, 0.0006, 0.0522, 0.1102, 0.0808, 0.0234, 0.0111, 0.007, 0.1556, 0.0001]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 31.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 39.0]), label=9.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 38.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 46.0]), label=1.0, probability=DenseVector([0.1103, 0.4588, 0.0013, 0.0126, 0.0304, 0.0002, 0.045, 0.1084, 0.0771, 0.0226, 0.021, 0.0049, 0.1073, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 46.0]), label=1.0, probability=DenseVector([0.1103, 0.4588, 0.0013, 0.0126, 0.0304, 0.0002, 0.045, 0.1084, 0.0771, 0.0226, 0.021, 0.0049, 0.1073, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 47.0]), label=1.0, probability=DenseVector([0.0885, 0.4358, 0.0014, 0.0146, 0.0232, 0.0002, 0.0519, 0.1259, 0.0901, 0.0246, 0.0158, 0.0058, 0.1224, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 48.0]), label=8.0, probability=DenseVector([0.0845, 0.4158, 0.0038, 0.0336, 0.0224, 0.0001, 0.0506, 0.1282, 0.0877, 0.0252, 0.0147, 0.0076, 0.126, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 29.0]), label=1.0, probability=DenseVector([0.4947, 0.0727, 0.0, 0.0, 0.2159, 0.0, 0.0132, 0.0649, 0.0514, 0.0091, 0.0642, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 39.0]), label=8.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.1046, 0.4207, 0.0018, 0.012, 0.0268, 0.0002, 0.0518, 0.1308, 0.0995, 0.0314, 0.0191, 0.0057, 0.0958, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.1046, 0.4207, 0.0018, 0.012, 0.0268, 0.0002, 0.0518, 0.1308, 0.0995, 0.0314, 0.0191, 0.0057, 0.0958, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.1046, 0.4207, 0.0018, 0.012, 0.0268, 0.0002, 0.0518, 0.1308, 0.0995, 0.0314, 0.0191, 0.0057, 0.0958, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.1046, 0.4207, 0.0018, 0.012, 0.0268, 0.0002, 0.0518, 0.1308, 0.0995, 0.0314, 0.0191, 0.0057, 0.0958, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.1046, 0.4207, 0.0018, 0.012, 0.0268, 0.0002, 0.0518, 0.1308, 0.0995, 0.0314, 0.0191, 0.0057, 0.0958, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 48.0]), label=1.0, probability=DenseVector([0.1006, 0.4007, 0.0042, 0.031, 0.0259, 0.0001, 0.0504, 0.1331, 0.0971, 0.0319, 0.018, 0.0075, 0.0994, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 38.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.107, 0.4179, 0.0018, 0.0116, 0.0276, 0.0002, 0.0512, 0.1332, 0.1013, 0.033, 0.0196, 0.0057, 0.0899, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 48.0]), label=1.0, probability=DenseVector([0.103, 0.3979, 0.0042, 0.0306, 0.0268, 0.0001, 0.0499, 0.1356, 0.0989, 0.0335, 0.0186, 0.0075, 0.0935, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 49.0]), label=8.0, probability=DenseVector([0.103, 0.3979, 0.0042, 0.0306, 0.0268, 0.0001, 0.0499, 0.1356, 0.0989, 0.0335, 0.0186, 0.0075, 0.0935, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.1032, 0.4043, 0.0037, 0.0283, 0.0271, 0.0001, 0.0514, 0.1312, 0.0974, 0.0349, 0.0191, 0.0106, 0.0887, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 39.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.107, 0.4179, 0.0018, 0.0116, 0.0276, 0.0002, 0.0512, 0.1332, 0.1013, 0.033, 0.0196, 0.0057, 0.0899, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.107, 0.4179, 0.0018, 0.0116, 0.0276, 0.0002, 0.0512, 0.1332, 0.1013, 0.033, 0.0196, 0.0057, 0.0899, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.1032, 0.4043, 0.0037, 0.0283, 0.0271, 0.0001, 0.0514, 0.1312, 0.0974, 0.0349, 0.0191, 0.0106, 0.0887, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 39.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 44.0]), label=4.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 45.0]), label=0.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 48.0]), label=1.0, probability=DenseVector([0.1078, 0.3968, 0.0046, 0.0298, 0.0279, 0.0001, 0.0534, 0.1235, 0.0959, 0.0399, 0.0194, 0.0076, 0.0933, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 29.0]), label=4.0, probability=DenseVector([0.4094, 0.0725, 0.0, 0.0, 0.1747, 0.0, 0.0289, 0.1032, 0.1231, 0.0095, 0.0553, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 43.0]), label=12.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 45.0]), label=0.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 46.0]), label=1.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 47.0]), label=9.0, probability=DenseVector([0.1127, 0.4065, 0.0031, 0.0082, 0.0297, 0.0002, 0.0589, 0.1207, 0.1009, 0.0451, 0.0217, 0.0054, 0.0871, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.1087, 0.3865, 0.0055, 0.0272, 0.0288, 0.0001, 0.0576, 0.1231, 0.0985, 0.0456, 0.0206, 0.0071, 0.0908, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 31.0]), label=12.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 37.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.4495, 0.0794, 0.0, 0.0, 0.2059, 0.0, 0.0181, 0.0774, 0.0561, 0.014, 0.0806, 0.0, 0.0189, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 44.0]), label=8.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 45.0]), label=9.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 45.0]), label=8.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 37.0]), label=1.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 39.0]), label=10.0, probability=DenseVector([0.4079, 0.0997, 0.0006, 0.0004, 0.1939, 0.0, 0.0295, 0.0805, 0.06, 0.0197, 0.0842, 0.0006, 0.023, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 40.0]), label=1.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 40.0]), label=1.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 41.0]), label=9.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 41.0]), label=10.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 42.0]), label=10.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 42.0]), label=7.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 43.0]), label=8.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 32.0]), label=4.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 33.0]), label=1.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 38.0]), label=10.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 39.0]), label=1.0, probability=DenseVector([0.3798, 0.1107, 0.0009, 0.0005, 0.1857, 0.0, 0.0362, 0.0846, 0.0654, 0.0231, 0.086, 0.0007, 0.0263, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 40.0]), label=10.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 41.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 42.0]), label=8.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 30.0]), label=7.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 36.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 39.0]), label=10.0, probability=DenseVector([0.3629, 0.1157, 0.0009, 0.0005, 0.1731, 0.0, 0.0573, 0.0886, 0.0715, 0.0249, 0.0754, 0.0007, 0.0285, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 39.0]), label=4.0, probability=DenseVector([0.3629, 0.1157, 0.0009, 0.0005, 0.1731, 0.0, 0.0573, 0.0886, 0.0715, 0.0249, 0.0754, 0.0007, 0.0285, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 40.0]), label=4.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 42.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 42.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 43.0]), label=12.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 44.0]), label=1.0, probability=DenseVector([0.1406, 0.2929, 0.0219, 0.0116, 0.0545, 0.0002, 0.0919, 0.1141, 0.0975, 0.0658, 0.0482, 0.0077, 0.0526, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 26.0]), label=7.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 38.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 40.0]), label=4.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 40.0]), label=1.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 40.0]), label=1.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 40.0]), label=1.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 40.0]), label=1.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 42.0]), label=1.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 45.0]), label=1.0, probability=DenseVector([0.1403, 0.284, 0.0233, 0.0118, 0.0555, 0.0002, 0.0961, 0.1149, 0.0967, 0.0682, 0.0468, 0.008, 0.0538, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 43.0]), label=4.0, probability=DenseVector([0.1572, 0.278, 0.0126, 0.0038, 0.0682, 0.0, 0.1209, 0.0972, 0.0786, 0.0672, 0.0605, 0.0045, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.1354, 0.2483, 0.0456, 0.0159, 0.0579, 0.0002, 0.1135, 0.1069, 0.0962, 0.0734, 0.0477, 0.0093, 0.0491, 0.0004]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 44.0]), label=4.0, probability=DenseVector([0.1354, 0.2483, 0.0456, 0.0159, 0.0579, 0.0002, 0.1135, 0.1069, 0.0962, 0.0734, 0.0477, 0.0093, 0.0491, 0.0004]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 47.0]), label=1.0, probability=DenseVector([0.1475, 0.2135, 0.045, 0.0173, 0.0679, 0.0002, 0.1337, 0.0952, 0.096, 0.0797, 0.0464, 0.0095, 0.0476, 0.0004]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 34.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 36.0]), label=0.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 38.0]), label=9.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 38.0]), label=8.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 40.0]), label=1.0, probability=DenseVector([0.2351, 0.1933, 0.0091, 0.0017, 0.1121, 0.0, 0.1427, 0.0749, 0.0694, 0.0513, 0.063, 0.0024, 0.045, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 36.0]), label=9.0, probability=DenseVector([0.2507, 0.0673, 0.001, 0.0001, 0.0857, 0.0, 0.4104, 0.0353, 0.0424, 0.0403, 0.043, 0.0005, 0.0234, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 36.0]), label=9.0, probability=DenseVector([0.2507, 0.0673, 0.001, 0.0001, 0.0857, 0.0, 0.4104, 0.0353, 0.0424, 0.0403, 0.043, 0.0005, 0.0234, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 41.0]), label=4.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 36.0]), label=9.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 45.0]), label=1.0, probability=DenseVector([0.1432, 0.1404, 0.0461, 0.0141, 0.0985, 0.0002, 0.2625, 0.0445, 0.0714, 0.0604, 0.0606, 0.0097, 0.0479, 0.0004]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 37.0]), label=0.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 38.0]), label=9.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 45.0]), label=4.0, probability=DenseVector([0.1432, 0.1404, 0.0461, 0.0141, 0.0985, 0.0002, 0.2625, 0.0445, 0.0714, 0.0604, 0.0606, 0.0097, 0.0479, 0.0004]))
Row(prediction=6.0, features=DenseVector([18.0, 53.0, 29.0]), label=1.0, probability=DenseVector([0.2027, 0.0398, 0.0005, 0.0001, 0.0613, 0.0, 0.5529, 0.0402, 0.0358, 0.0214, 0.0292, 0.0012, 0.0149, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 53.0, 51.0]), label=4.0, probability=DenseVector([0.1155, 0.1505, 0.0308, 0.0236, 0.0967, 0.0002, 0.233, 0.0458, 0.0844, 0.0824, 0.0656, 0.0234, 0.0477, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 9.0, 33.0]), label=1.0, probability=DenseVector([0.1796, 0.4105, 0.0, 0.0, 0.1156, 0.0, 0.0303, 0.1301, 0.0596, 0.0051, 0.0252, 0.001, 0.0431, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 18.0, 32.0]), label=1.0, probability=DenseVector([0.1718, 0.4155, 0.0, 0.0, 0.1117, 0.0, 0.0341, 0.1196, 0.069, 0.0051, 0.0248, 0.0007, 0.0479, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 18.0, 39.0]), label=1.0, probability=DenseVector([0.1654, 0.5368, 0.0, 0.0001, 0.0813, 0.0, 0.0347, 0.0629, 0.036, 0.0056, 0.0256, 0.0, 0.0517, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 18.0, 43.0]), label=1.0, probability=DenseVector([0.0874, 0.5678, 0.0012, 0.0093, 0.0232, 0.0002, 0.0426, 0.0719, 0.0504, 0.0123, 0.0171, 0.0021, 0.1143, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 18.0, 44.0]), label=1.0, probability=DenseVector([0.0874, 0.5678, 0.0012, 0.0093, 0.0232, 0.0002, 0.0426, 0.0719, 0.0504, 0.0123, 0.0171, 0.0021, 0.1143, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 19.0, 40.0]), label=1.0, probability=DenseVector([0.0825, 0.6155, 0.0001, 0.0033, 0.0277, 0.0, 0.0339, 0.0736, 0.0426, 0.0071, 0.0144, 0.0015, 0.0977, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 20.0, 41.0]), label=1.0, probability=DenseVector([0.0874, 0.5678, 0.0012, 0.0093, 0.0232, 0.0002, 0.0426, 0.0719, 0.0504, 0.0123, 0.0171, 0.0021, 0.1143, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 24.0, 46.0]), label=1.0, probability=DenseVector([0.0826, 0.5174, 0.0014, 0.014, 0.0213, 0.0009, 0.0413, 0.0828, 0.0572, 0.0178, 0.0144, 0.0027, 0.1463, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 24.0, 47.0]), label=1.0, probability=DenseVector([0.0573, 0.4375, 0.0015, 0.0349, 0.0133, 0.0009, 0.0405, 0.0985, 0.0885, 0.0171, 0.0083, 0.0042, 0.1976, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 25.0, 42.0]), label=1.0, probability=DenseVector([0.0884, 0.5584, 0.0014, 0.0106, 0.0245, 0.0009, 0.0435, 0.0735, 0.0531, 0.0152, 0.0168, 0.0024, 0.1113, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 25.0, 46.0]), label=1.0, probability=DenseVector([0.0826, 0.5174, 0.0014, 0.014, 0.0213, 0.0009, 0.0413, 0.0828, 0.0572, 0.0178, 0.0144, 0.0027, 0.1463, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 25.0, 48.0]), label=1.0, probability=DenseVector([0.0462, 0.3918, 0.0041, 0.0914, 0.0102, 0.0006, 0.0306, 0.1014, 0.0706, 0.0166, 0.0063, 0.007, 0.2231, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 25.0, 51.0]), label=1.0, probability=DenseVector([0.0471, 0.4079, 0.0036, 0.0841, 0.0105, 0.0006, 0.035, 0.0962, 0.0678, 0.0196, 0.0089, 0.0116, 0.207, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 25.0, 52.0]), label=1.0, probability=DenseVector([0.0392, 0.3855, 0.0009, 0.0566, 0.0096, 0.0005, 0.0299, 0.0748, 0.0592, 0.0298, 0.0078, 0.0096, 0.2965, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 26.0, 47.0]), label=3.0, probability=DenseVector([0.0573, 0.4375, 0.0015, 0.0349, 0.0133, 0.0009, 0.0405, 0.0985, 0.0885, 0.0171, 0.0083, 0.0042, 0.1976, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 26.0, 48.0]), label=3.0, probability=DenseVector([0.0462, 0.3918, 0.0041, 0.0914, 0.0102, 0.0006, 0.0306, 0.1014, 0.0706, 0.0166, 0.0063, 0.007, 0.2231, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0471, 0.4079, 0.0036, 0.0841, 0.0105, 0.0006, 0.035, 0.0962, 0.0678, 0.0196, 0.0089, 0.0116, 0.207, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 27.0, 45.0]), label=1.0, probability=DenseVector([0.0989, 0.4832, 0.0014, 0.0114, 0.0253, 0.0009, 0.039, 0.0818, 0.0727, 0.0147, 0.0182, 0.0025, 0.1498, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 27.0, 53.0]), label=1.0, probability=DenseVector([0.0396, 0.3489, 0.0009, 0.0768, 0.011, 0.0005, 0.0396, 0.1232, 0.0776, 0.0207, 0.0078, 0.0184, 0.2348, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 28.0, 48.0]), label=3.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0454, 0.334, 0.0036, 0.0986, 0.0107, 0.0006, 0.0416, 0.126, 0.0837, 0.0191, 0.0089, 0.013, 0.2147, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 32.0, 29.0]), label=1.0, probability=DenseVector([0.4803, 0.0721, 0.0001, 0.0, 0.2172, 0.0, 0.0157, 0.0638, 0.0504, 0.0092, 0.0772, 0.0, 0.014, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 33.0, 30.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 33.0, 47.0]), label=1.0, probability=DenseVector([0.0636, 0.3773, 0.0018, 0.0462, 0.0168, 0.0009, 0.0461, 0.1181, 0.0897, 0.0213, 0.0102, 0.0075, 0.2006, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 33.0, 49.0]), label=1.0, probability=DenseVector([0.0546, 0.3367, 0.0043, 0.0965, 0.0137, 0.0006, 0.0394, 0.1238, 0.087, 0.0191, 0.0083, 0.0104, 0.2056, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0555, 0.3528, 0.0039, 0.0891, 0.014, 0.0006, 0.0438, 0.1185, 0.0843, 0.022, 0.0108, 0.015, 0.1894, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 33.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 45.0]), label=8.0, probability=DenseVector([0.113, 0.4715, 0.0014, 0.0167, 0.0298, 0.0002, 0.0401, 0.0966, 0.0694, 0.0156, 0.0221, 0.005, 0.1186, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 45.0]), label=1.0, probability=DenseVector([0.113, 0.4715, 0.0014, 0.0167, 0.0298, 0.0002, 0.0401, 0.0966, 0.0694, 0.0156, 0.0221, 0.005, 0.1186, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 48.0]), label=1.0, probability=DenseVector([0.0599, 0.3442, 0.0041, 0.0749, 0.0149, 0.0001, 0.0416, 0.128, 0.0895, 0.0188, 0.0089, 0.0102, 0.2048, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 49.0]), label=0.0, probability=DenseVector([0.0599, 0.3442, 0.0041, 0.0749, 0.0149, 0.0001, 0.0416, 0.128, 0.0895, 0.0188, 0.0089, 0.0102, 0.2048, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 51.0]), label=12.0, probability=DenseVector([0.0608, 0.3602, 0.0036, 0.0676, 0.0151, 0.0001, 0.046, 0.1228, 0.0868, 0.0217, 0.0115, 0.0148, 0.1887, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 47.0]), label=1.0, probability=DenseVector([0.0845, 0.3921, 0.0021, 0.0348, 0.0225, 0.0002, 0.044, 0.1326, 0.0957, 0.0214, 0.0142, 0.0074, 0.1484, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 48.0]), label=1.0, probability=DenseVector([0.0774, 0.3626, 0.0045, 0.0627, 0.0206, 0.0001, 0.0418, 0.1378, 0.0931, 0.0212, 0.0127, 0.0092, 0.1562, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 49.0]), label=1.0, probability=DenseVector([0.0774, 0.3626, 0.0045, 0.0627, 0.0206, 0.0001, 0.0418, 0.1378, 0.0931, 0.0212, 0.0127, 0.0092, 0.1562, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 39.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 40.0]), label=4.0, probability=DenseVector([0.2384, 0.3375, 0.0004, 0.0017, 0.1015, 0.0, 0.024, 0.1011, 0.0723, 0.0169, 0.0568, 0.0024, 0.0471, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 45.0]), label=1.0, probability=DenseVector([0.1354, 0.4478, 0.0019, 0.0102, 0.0367, 0.0002, 0.0404, 0.1104, 0.0854, 0.0249, 0.0268, 0.0042, 0.0757, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 46.0]), label=12.0, probability=DenseVector([0.1247, 0.4366, 0.0022, 0.011, 0.0341, 0.0002, 0.0457, 0.1159, 0.0884, 0.0298, 0.0236, 0.0049, 0.0829, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.1062, 0.3956, 0.0031, 0.0212, 0.0276, 0.0002, 0.0484, 0.1418, 0.1061, 0.0309, 0.0176, 0.0066, 0.0947, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.1062, 0.3956, 0.0031, 0.0212, 0.0276, 0.0002, 0.0484, 0.1418, 0.1061, 0.0309, 0.0176, 0.0066, 0.0947, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.1062, 0.3956, 0.0031, 0.0212, 0.0276, 0.0002, 0.0484, 0.1418, 0.1061, 0.0309, 0.0176, 0.0066, 0.0947, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 49.0]), label=1.0, probability=DenseVector([0.099, 0.3661, 0.0055, 0.049, 0.0257, 0.0001, 0.0462, 0.1471, 0.1035, 0.0307, 0.0161, 0.0084, 0.1026, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 53.0]), label=9.0, probability=DenseVector([0.0903, 0.3628, 0.0176, 0.045, 0.0248, 0.0048, 0.0466, 0.133, 0.1098, 0.0383, 0.0184, 0.0178, 0.0907, 0.0002]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 30.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 39.0]), label=9.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.2409, 0.3347, 0.0004, 0.0013, 0.1023, 0.0, 0.0235, 0.1035, 0.0742, 0.0184, 0.0574, 0.0023, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 43.0]), label=12.0, probability=DenseVector([0.1403, 0.4519, 0.0018, 0.0097, 0.0378, 0.0002, 0.0368, 0.1125, 0.0849, 0.0246, 0.0275, 0.0039, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 46.0]), label=1.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0971, 0.3752, 0.0044, 0.0467, 0.0255, 0.0001, 0.0473, 0.1389, 0.0992, 0.0335, 0.0191, 0.0125, 0.1003, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 45.0]), label=1.0, probability=DenseVector([0.1379, 0.445, 0.0019, 0.0099, 0.0375, 0.0002, 0.0399, 0.1129, 0.0873, 0.0264, 0.0273, 0.0041, 0.0698, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 46.0]), label=1.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.1086, 0.3928, 0.0031, 0.0208, 0.0284, 0.0002, 0.0479, 0.1443, 0.108, 0.0324, 0.0182, 0.0065, 0.0889, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.1086, 0.3928, 0.0031, 0.0208, 0.0284, 0.0002, 0.0479, 0.1443, 0.108, 0.0324, 0.0182, 0.0065, 0.0889, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 48.0]), label=1.0, probability=DenseVector([0.1015, 0.3633, 0.0055, 0.0486, 0.0265, 0.0001, 0.0457, 0.1495, 0.1054, 0.0322, 0.0167, 0.0083, 0.0967, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0971, 0.3752, 0.0044, 0.0467, 0.0255, 0.0001, 0.0473, 0.1389, 0.0992, 0.0335, 0.0191, 0.0125, 0.1003, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 46.0]), label=8.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 46.0]), label=8.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 46.0]), label=1.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 47.0]), label=1.0, probability=DenseVector([0.1134, 0.3917, 0.0036, 0.02, 0.0295, 0.0002, 0.0513, 0.1322, 0.1049, 0.0388, 0.0191, 0.0067, 0.0886, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 47.0]), label=1.0, probability=DenseVector([0.1134, 0.3917, 0.0036, 0.02, 0.0295, 0.0002, 0.0513, 0.1322, 0.1049, 0.0388, 0.0191, 0.0067, 0.0886, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.0975, 0.3589, 0.018, 0.0438, 0.0267, 0.0048, 0.0495, 0.1234, 0.1086, 0.0462, 0.0198, 0.0179, 0.0845, 0.0002]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 29.0]), label=4.0, probability=DenseVector([0.3951, 0.0718, 0.0001, 0.0, 0.1759, 0.0, 0.0314, 0.102, 0.1221, 0.0096, 0.0683, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))

IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
`--NotebookApp.iopub_data_rate_limit`.

Current values:
NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)
NotebookApp.rate_limit_window=3.0 (secs)


Row(prediction=2.0, features=DenseVector([40.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 54.0]), label=9.0, probability=DenseVector([0.0541, 0.0989, 0.3682, 0.0439, 0.0552, 0.113, 0.003, 0.0133, 0.0165, 0.0967, 0.0354, 0.0793, 0.0192, 0.0033]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 56.0]), label=9.0, probability=DenseVector([0.0531, 0.1008, 0.3674, 0.0417, 0.057, 0.1028, 0.0031, 0.0125, 0.0184, 0.1038, 0.0357, 0.0804, 0.0206, 0.0028]))
Row(prediction=9.0, features=DenseVector([40.0, 35.0, 45.0]), label=0.0, probability=DenseVector([0.0352, 0.0528, 0.1873, 0.0951, 0.0317, 0.1073, 0.0337, 0.0033, 0.0103, 0.2872, 0.0148, 0.1172, 0.0197, 0.0045]))
Row(prediction=9.0, features=DenseVector([40.0, 35.0, 45.0]), label=9.0, probability=DenseVector([0.0352, 0.0528, 0.1873, 0.0951, 0.0317, 0.1073, 0.0337, 0.0033, 0.0103, 0.2872, 0.0148, 0.1172, 0.0197, 0.0045]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 47.0]), label=3.0, probability=DenseVector([0.035, 0.0664, 0.302, 0.0826, 0.0296, 0.1297, 0.0196, 0.0041, 0.0091, 0.1784, 0.0173, 0.107, 0.0156, 0.0036]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 48.0]), label=3.0, probability=DenseVector([0.0265, 0.0928, 0.5427, 0.0153, 0.0265, 0.0611, 0.0031, 0.0047, 0.0047, 0.0615, 0.0215, 0.1292, 0.0096, 0.001]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 53.0]), label=9.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=9.0, features=DenseVector([40.0, 36.0, 43.0]), label=9.0, probability=DenseVector([0.0297, 0.0556, 0.1549, 0.0881, 0.0323, 0.1016, 0.0435, 0.0032, 0.0096, 0.3433, 0.0136, 0.0996, 0.021, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 47.0]), label=9.0, probability=DenseVector([0.0306, 0.0637, 0.3123, 0.0895, 0.0288, 0.1403, 0.0182, 0.0041, 0.0083, 0.1593, 0.0173, 0.1093, 0.0142, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 48.0]), label=9.0, probability=DenseVector([0.0265, 0.0928, 0.5427, 0.0153, 0.0265, 0.0611, 0.0031, 0.0047, 0.0047, 0.0615, 0.0215, 0.1292, 0.0096, 0.001]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 49.0]), label=9.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=9.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 53.0]), label=4.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 53.0]), label=0.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 54.0]), label=1.0, probability=DenseVector([0.0541, 0.0989, 0.3682, 0.0439, 0.0552, 0.113, 0.003, 0.0133, 0.0165, 0.0967, 0.0354, 0.0793, 0.0192, 0.0033]))
Row(prediction=9.0, features=DenseVector([40.0, 37.0, 41.0]), label=9.0, probability=DenseVector([0.04, 0.0724, 0.036, 0.0202, 0.041, 0.0205, 0.0903, 0.003, 0.0091, 0.469, 0.0313, 0.1406, 0.0261, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=9.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=4.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 53.0]), label=9.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 53.0]), label=9.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 48.0]), label=9.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 49.0]), label=4.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=0.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=9.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=9.0, features=DenseVector([40.0, 39.0, 45.0]), label=9.0, probability=DenseVector([0.0278, 0.0408, 0.1478, 0.1489, 0.0333, 0.1459, 0.0496, 0.0041, 0.0102, 0.256, 0.0144, 0.0977, 0.0163, 0.0072]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 47.0]), label=9.0, probability=DenseVector([0.0247, 0.0439, 0.1889, 0.1579, 0.0258, 0.2752, 0.0218, 0.0055, 0.0107, 0.1455, 0.0176, 0.0642, 0.0129, 0.0054]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=9.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=12.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 52.0]), label=9.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=9.0, features=DenseVector([40.0, 41.0, 38.0]), label=9.0, probability=DenseVector([0.0532, 0.0753, 0.0105, 0.0088, 0.0416, 0.0031, 0.1478, 0.0032, 0.0091, 0.4653, 0.038, 0.1219, 0.0222, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 41.0, 40.0]), label=10.0, probability=DenseVector([0.0532, 0.0753, 0.0105, 0.0088, 0.0416, 0.0031, 0.1478, 0.0032, 0.0091, 0.4653, 0.038, 0.1219, 0.0222, 0.0001]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 51.0]), label=9.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=9.0, features=DenseVector([40.0, 42.0, 42.0]), label=9.0, probability=DenseVector([0.0422, 0.0412, 0.1074, 0.1296, 0.0452, 0.0492, 0.0836, 0.0049, 0.0118, 0.3632, 0.0326, 0.0571, 0.019, 0.0131]))
Row(prediction=9.0, features=DenseVector([40.0, 42.0, 43.0]), label=9.0, probability=DenseVector([0.033, 0.0378, 0.1347, 0.1709, 0.0372, 0.0773, 0.0602, 0.0089, 0.0178, 0.3145, 0.0151, 0.0532, 0.018, 0.0215]))
Row(prediction=9.0, features=DenseVector([40.0, 42.0, 44.0]), label=4.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 46.0]), label=9.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 46.0]), label=1.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 44.0]), label=3.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 45.0]), label=9.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=9.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=7.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=7.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=9.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=7.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 55.0]), label=12.0, probability=DenseVector([0.0331, 0.0497, 0.1992, 0.2746, 0.0322, 0.1732, 0.0079, 0.024, 0.0433, 0.0955, 0.0177, 0.0181, 0.018, 0.0134]))
Row(prediction=9.0, features=DenseVector([40.0, 45.0, 44.0]), label=3.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=1.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=9.0, features=DenseVector([40.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 49.0]), label=1.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=9.0, features=DenseVector([40.0, 47.0, 43.0]), label=9.0, probability=DenseVector([0.025, 0.042, 0.1343, 0.2032, 0.0298, 0.0719, 0.0837, 0.0075, 0.0156, 0.277, 0.0098, 0.0441, 0.0148, 0.0413]))
Row(prediction=9.0, features=DenseVector([40.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 48.0]), label=9.0, probability=DenseVector([0.012, 0.0291, 0.2056, 0.319, 0.0175, 0.1674, 0.0202, 0.0164, 0.0225, 0.1129, 0.0075, 0.0201, 0.0117, 0.0381]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.012, 0.0291, 0.2056, 0.319, 0.0175, 0.1674, 0.0202, 0.0164, 0.0225, 0.1129, 0.0075, 0.0201, 0.0117, 0.0381]))
Row(prediction=9.0, features=DenseVector([40.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=3.0, features=DenseVector([40.0, 48.0, 50.0]), label=4.0, probability=DenseVector([0.0122, 0.0334, 0.1921, 0.2947, 0.0191, 0.1669, 0.0257, 0.0143, 0.0227, 0.1403, 0.0092, 0.0193, 0.0129, 0.0373]))
Row(prediction=9.0, features=DenseVector([40.0, 49.0, 42.0]), label=9.0, probability=DenseVector([0.0342, 0.0555, 0.1118, 0.1668, 0.0335, 0.0494, 0.1355, 0.0049, 0.014, 0.2967, 0.0122, 0.0448, 0.0163, 0.0244]))
Row(prediction=3.0, features=DenseVector([40.0, 49.0, 47.0]), label=12.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0119, 0.0306, 0.1948, 0.3033, 0.0184, 0.1593, 0.0258, 0.0157, 0.0223, 0.1398, 0.0083, 0.0195, 0.0125, 0.0378]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 35.0]), label=1.0, probability=DenseVector([0.0582, 0.0758, 0.0266, 0.0392, 0.0238, 0.0002, 0.5998, 0.0101, 0.0337, 0.0835, 0.0098, 0.0106, 0.026, 0.0027]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 40.0]), label=9.0, probability=DenseVector([0.0545, 0.0741, 0.043, 0.0505, 0.0281, 0.0002, 0.4977, 0.0093, 0.052, 0.1303, 0.0116, 0.0153, 0.0307, 0.0028]))
Row(prediction=9.0, features=DenseVector([40.0, 52.0, 44.0]), label=2.0, probability=DenseVector([0.0205, 0.034, 0.1086, 0.1543, 0.036, 0.0467, 0.1169, 0.0015, 0.0122, 0.3698, 0.0086, 0.0539, 0.0187, 0.0184]))
Row(prediction=9.0, features=DenseVector([40.0, 52.0, 54.0]), label=9.0, probability=DenseVector([0.017, 0.0498, 0.1058, 0.1567, 0.0459, 0.089, 0.0606, 0.0076, 0.0281, 0.3697, 0.0163, 0.0171, 0.0327, 0.0036]))
Row(prediction=9.0, features=DenseVector([40.0, 55.0, 43.0]), label=9.0, probability=DenseVector([0.0207, 0.0338, 0.1029, 0.1585, 0.0348, 0.0447, 0.1278, 0.0015, 0.0128, 0.3708, 0.0077, 0.0472, 0.0172, 0.0197]))
Row(prediction=9.0, features=DenseVector([40.0, 59.0, 61.0]), label=9.0, probability=DenseVector([0.0169, 0.0523, 0.1011, 0.1536, 0.0421, 0.0889, 0.0888, 0.008, 0.0252, 0.3627, 0.0147, 0.0131, 0.031, 0.0017]))
Row(prediction=9.0, features=DenseVector([40.0, 63.0, 47.0]), label=9.0, probability=DenseVector([0.015, 0.0329, 0.1311, 0.2058, 0.0257, 0.145, 0.0987, 0.0048, 0.0112, 0.2659, 0.007, 0.0259, 0.0156, 0.0154]))
Row(prediction=9.0, features=DenseVector([41.0, 0.0, 52.0]), label=9.0, probability=DenseVector([0.0179, 0.072, 0.2294, 0.0112, 0.0203, 0.029, 0.0013, 0.0038, 0.0053, 0.5333, 0.0117, 0.0342, 0.0303, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 3.0, 48.0]), label=9.0, probability=DenseVector([0.0113, 0.0836, 0.2932, 0.0107, 0.0148, 0.0473, 0.0027, 0.002, 0.0032, 0.4373, 0.009, 0.0537, 0.0308, 0.0003]))
Row(prediction=9.0, features=DenseVector([41.0, 4.0, 34.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 5.0, 45.0]), label=9.0, probability=DenseVector([0.0126, 0.0856, 0.3422, 0.0195, 0.0154, 0.0604, 0.011, 0.0018, 0.0046, 0.3648, 0.0086, 0.0469, 0.0259, 0.0007]))
Row(prediction=9.0, features=DenseVector([41.0, 7.0, 36.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 8.0, 52.0]), label=9.0, probability=DenseVector([0.0179, 0.072, 0.2294, 0.0112, 0.0203, 0.029, 0.0013, 0.0038, 0.0053, 0.5333, 0.0117, 0.0342, 0.0303, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 9.0, 45.0]), label=9.0, probability=DenseVector([0.0126, 0.0856, 0.3422, 0.0195, 0.0154, 0.0604, 0.011, 0.0018, 0.0046, 0.3648, 0.0086, 0.0469, 0.0259, 0.0007]))
Row(prediction=9.0, features=DenseVector([41.0, 11.0, 41.0]), label=9.0, probability=DenseVector([0.0186, 0.1057, 0.0563, 0.0087, 0.0223, 0.0228, 0.0611, 0.0013, 0.0073, 0.5815, 0.0094, 0.0645, 0.0404, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 11.0, 48.0]), label=9.0, probability=DenseVector([0.0113, 0.0836, 0.2932, 0.0107, 0.0148, 0.0473, 0.0027, 0.002, 0.0032, 0.4373, 0.009, 0.0537, 0.0308, 0.0003]))
Row(prediction=9.0, features=DenseVector([41.0, 12.0, 38.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 13.0, 33.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 13.0, 35.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 13.0, 44.0]), label=12.0, probability=DenseVector([0.0136, 0.0832, 0.311, 0.0234, 0.0166, 0.06, 0.0151, 0.0019, 0.0048, 0.3854, 0.0088, 0.0484, 0.0271, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 14.0, 30.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 15.0, 35.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 15.0, 37.0]), label=12.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=2.0, features=DenseVector([41.0, 15.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0941, 0.367, 0.0177, 0.014, 0.0709, 0.0044, 0.0019, 0.004, 0.3321, 0.0088, 0.0448, 0.028, 0.0007]))
Row(prediction=9.0, features=DenseVector([41.0, 16.0, 32.0]), label=1.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 16.0, 34.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 16.0, 42.0]), label=9.0, probability=DenseVector([0.0101, 0.0912, 0.1462, 0.0192, 0.0154, 0.0403, 0.026, 0.0007, 0.0044, 0.561, 0.0051, 0.0422, 0.0377, 0.0006]))
Row(prediction=9.0, features=DenseVector([41.0, 17.0, 45.0]), label=2.0, probability=DenseVector([0.0126, 0.0856, 0.3422, 0.0195, 0.0154, 0.0604, 0.011, 0.0018, 0.0046, 0.3648, 0.0086, 0.0469, 0.0259, 0.0007]))
Row(prediction=2.0, features=DenseVector([41.0, 17.0, 46.0]), label=9.0, probability=DenseVector([0.0124, 0.0862, 0.3644, 0.0247, 0.0143, 0.0721, 0.0074, 0.0019, 0.0045, 0.3181, 0.0087, 0.0592, 0.0251, 0.001]))
Row(prediction=9.0, features=DenseVector([41.0, 17.0, 53.0]), label=9.0, probability=DenseVector([0.0186, 0.0752, 0.202, 0.0116, 0.0219, 0.0294, 0.0017, 0.0031, 0.0047, 0.559, 0.0117, 0.0301, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 18.0, 27.0]), label=9.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 18.0, 34.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 18.0, 38.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 19.0, 32.0]), label=1.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 19.0, 42.0]), label=9.0, probability=DenseVector([0.0101, 0.0912, 0.1462, 0.0192, 0.0154, 0.0403, 0.026, 0.0007, 0.0044, 0.561, 0.0051, 0.0422, 0.0377, 0.0006]))
Row(prediction=9.0, features=DenseVector([41.0, 19.0, 43.0]), label=9.0, probability=DenseVector([0.0132, 0.0854, 0.2061, 0.0238, 0.0177, 0.0582, 0.0207, 0.0017, 0.0059, 0.4765, 0.0078, 0.0505, 0.0316, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 20.0, 33.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 20.0, 40.0]), label=9.0, probability=DenseVector([0.0203, 0.1165, 0.0168, 0.0077, 0.0225, 0.0359, 0.0737, 0.0013, 0.0084, 0.5778, 0.0102, 0.0684, 0.0405, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 20.0, 41.0]), label=9.0, probability=DenseVector([0.0186, 0.1057, 0.0563, 0.0087, 0.0223, 0.0228, 0.0611, 0.0013, 0.0073, 0.5815, 0.0094, 0.0645, 0.0404, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 20.0, 45.0]), label=1.0, probability=DenseVector([0.0126, 0.0856, 0.3422, 0.0195, 0.0154, 0.0604, 0.011, 0.0018, 0.0046, 0.3648, 0.0086, 0.0469, 0.0259, 0.0007]))
Row(prediction=2.0, features=DenseVector([41.0, 20.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0941, 0.367, 0.0177, 0.014, 0.0709, 0.0044, 0.0019, 0.004, 0.3321, 0.0088, 0.0448, 0.028, 0.0007]))
Row(prediction=9.0, features=DenseVector([41.0, 20.0, 48.0]), label=2.0, probability=DenseVector([0.0113, 0.0836, 0.2932, 0.0107, 0.0148, 0.0473, 0.0027, 0.002, 0.0032, 0.4373, 0.009, 0.0537, 0.0308, 0.0003]))
Row(prediction=9.0, features=DenseVector([41.0, 20.0, 49.0]), label=1.0, probability=DenseVector([0.0116, 0.0828, 0.3063, 0.014, 0.0143, 0.044, 0.0006, 0.0028, 0.004, 0.4245, 0.0091, 0.0554, 0.0298, 0.0009]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 35.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 40.0]), label=9.0, probability=DenseVector([0.0203, 0.1165, 0.0168, 0.0077, 0.0225, 0.0359, 0.0737, 0.0013, 0.0084, 0.5778, 0.0102, 0.0684, 0.0405, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 43.0]), label=9.0, probability=DenseVector([0.0132, 0.0854, 0.2061, 0.0238, 0.0177, 0.0582, 0.0207, 0.0017, 0.0059, 0.4765, 0.0078, 0.0505, 0.0316, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 44.0]), label=2.0, probability=DenseVector([0.0136, 0.0832, 0.311, 0.0234, 0.0166, 0.06, 0.0151, 0.0019, 0.0048, 0.3854, 0.0088, 0.0484, 0.0271, 0.0008]))
Row(prediction=2.0, features=DenseVector([41.0, 21.0, 46.0]), label=9.0, probability=DenseVector([0.0124, 0.0862, 0.3644, 0.0247, 0.0143, 0.0721, 0.0074, 0.0019, 0.0045, 0.3181, 0.0087, 0.0592, 0.0251, 0.001]))
Row(prediction=2.0, features=DenseVector([41.0, 21.0, 46.0]), label=9.0, probability=DenseVector([0.0124, 0.0862, 0.3644, 0.0247, 0.0143, 0.0721, 0.0074, 0.0019, 0.0045, 0.3181, 0.0087, 0.0592, 0.0251, 0.001]))
Row(prediction=2.0, features=DenseVector([41.0, 21.0, 47.0]), label=2.0, probability=DenseVector([0.0114, 0.0941, 0.367, 0.0177, 0.014, 0.0709, 0.0044, 0.0019, 0.004, 0.3321, 0.0088, 0.0448, 0.028, 0.0007]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 48.0]), label=2.0, probability=DenseVector([0.0113, 0.0836, 0.2932, 0.0107, 0.0148, 0.0473, 0.0027, 0.002, 0.0032, 0.4373, 0.009, 0.0537, 0.0308, 0.0003]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 50.0]), label=9.0, probability=DenseVector([0.0116, 0.0828, 0.3063, 0.014, 0.0143, 0.044, 0.0006, 0.0028, 0.004, 0.4245, 0.0091, 0.0554, 0.0298, 0.0009]))
Row(prediction=9.0, features=DenseVector([41.0, 22.0, 36.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 22.0, 39.0]), label=9.0, probability=DenseVector([0.0203, 0.114, 0.0163, 0.005, 0.0235, 0.0258, 0.0754, 0.0013, 0.0087, 0.5994, 0.0102, 0.0591, 0.041, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 22.0, 43.0]), label=9.0, probability=DenseVector([0.014, 0.0854, 0.1942, 0.0245, 0.0187, 0.0581, 0.0211, 0.0017, 0.006, 0.4701, 0.008, 0.0662, 0.0312, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 22.0, 45.0]), label=9.0, probability=DenseVector([0.0133, 0.089, 0.3195, 0.0203, 0.017, 0.0604, 0.0115, 0.0018, 0.0048, 0.3628, 0.0088, 0.0651, 0.025, 0.0007]))
Row(prediction=2.0, features=DenseVector([41.0, 22.0, 48.0]), label=1.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([41.0, 22.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 22.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 23.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 23.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 23.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 23.0, 51.0]), label=9.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 23.0, 52.0]), label=1.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 24.0, 37.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 24.0, 44.0]), label=9.0, probability=DenseVector([0.0143, 0.0865, 0.2883, 0.0242, 0.0182, 0.06, 0.0155, 0.0019, 0.005, 0.3834, 0.009, 0.0667, 0.0262, 0.0008]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 46.0]), label=9.0, probability=DenseVector([0.0132, 0.0896, 0.3417, 0.0255, 0.0159, 0.0721, 0.0078, 0.0019, 0.0047, 0.3162, 0.0089, 0.0774, 0.0242, 0.001]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 46.0]), label=1.0, probability=DenseVector([0.0132, 0.0896, 0.3417, 0.0255, 0.0159, 0.0721, 0.0078, 0.0019, 0.0047, 0.3162, 0.0089, 0.0774, 0.0242, 0.001]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 47.0]), label=9.0, probability=DenseVector([0.0163, 0.0982, 0.4425, 0.0184, 0.0171, 0.0717, 0.0045, 0.0025, 0.0042, 0.2162, 0.0124, 0.0759, 0.0193, 0.0007]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 51.0]), label=9.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 55.0]), label=9.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 47.0]), label=9.0, probability=DenseVector([0.0163, 0.0982, 0.4425, 0.0184, 0.0171, 0.0717, 0.0045, 0.0025, 0.0042, 0.2162, 0.0124, 0.0759, 0.0193, 0.0007]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 53.0]), label=9.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 26.0, 38.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 26.0, 40.0]), label=1.0, probability=DenseVector([0.0203, 0.114, 0.0163, 0.005, 0.0235, 0.0258, 0.0754, 0.0013, 0.0087, 0.5994, 0.0102, 0.0591, 0.041, 0.0001]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 46.0]), label=1.0, probability=DenseVector([0.0132, 0.0896, 0.3417, 0.0255, 0.0159, 0.0721, 0.0078, 0.0019, 0.0047, 0.3162, 0.0089, 0.0774, 0.0242, 0.001]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 47.0]), label=9.0, probability=DenseVector([0.0163, 0.0982, 0.4425, 0.0184, 0.0171, 0.0717, 0.0045, 0.0025, 0.0042, 0.2162, 0.0124, 0.0759, 0.0193, 0.0007]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 48.0]), label=9.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 50.0]), label=9.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 27.0, 39.0]), label=9.0, probability=DenseVector([0.0207, 0.1046, 0.016, 0.0051, 0.0255, 0.0255, 0.1025, 0.0016, 0.0089, 0.5795, 0.0122, 0.0591, 0.0385, 0.0001]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 47.0]), label=1.0, probability=DenseVector([0.0163, 0.0982, 0.4425, 0.0184, 0.0171, 0.0717, 0.0045, 0.0025, 0.0042, 0.2162, 0.0124, 0.0759, 0.0193, 0.0007]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 52.0]), label=9.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 53.0]), label=2.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 56.0]), label=9.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 57.0]), label=4.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 28.0, 36.0]), label=9.0, probability=DenseVector([0.0146, 0.0986, 0.0093, 0.0045, 0.0177, 0.0217, 0.085, 0.0024, 0.0038, 0.6588, 0.0073, 0.0347, 0.0416, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 28.0, 44.0]), label=9.0, probability=DenseVector([0.0143, 0.0865, 0.2883, 0.0242, 0.0182, 0.06, 0.0155, 0.0019, 0.005, 0.3834, 0.009, 0.0667, 0.0262, 0.0008]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 49.0]), label=9.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=9.0, features=DenseVector([41.0, 29.0, 42.0]), label=9.0, probability=DenseVector([0.0113, 0.0819, 0.134, 0.02, 0.0185, 0.0397, 0.0536, 0.001, 0.0048, 0.5347, 0.0073, 0.0579, 0.0348, 0.0006]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 46.0]), label=9.0, probability=DenseVector([0.0132, 0.0896, 0.3417, 0.0255, 0.0159, 0.0721, 0.0078, 0.0019, 0.0047, 0.3162, 0.0089, 0.0774, 0.0242, 0.001]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 53.0]), label=9.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 30.0, 44.0]), label=9.0, probability=DenseVector([0.0335, 0.0596, 0.1841, 0.0819, 0.0299, 0.0921, 0.0346, 0.0023, 0.0093, 0.3001, 0.0132, 0.1355, 0.0207, 0.0032]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 47.0]), label=9.0, probability=DenseVector([0.0342, 0.0718, 0.3086, 0.0802, 0.0287, 0.1187, 0.0195, 0.0031, 0.0083, 0.1826, 0.0161, 0.1091, 0.0161, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 48.0]), label=1.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 48.0]), label=1.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=9.0, features=DenseVector([41.0, 31.0, 44.0]), label=4.0, probability=DenseVector([0.0335, 0.0596, 0.1841, 0.0819, 0.0299, 0.0921, 0.0346, 0.0023, 0.0093, 0.3001, 0.0132, 0.1355, 0.0207, 0.0032]))
Row(prediction=9.0, features=DenseVector([41.0, 31.0, 44.0]), label=9.0, probability=DenseVector([0.0335, 0.0596, 0.1841, 0.0819, 0.0299, 0.0921, 0.0346, 0.0023, 0.0093, 0.3001, 0.0132, 0.1355, 0.0207, 0.0032]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 49.0]), label=9.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 54.0]), label=9.0, probability=DenseVector([0.0446, 0.1202, 0.4131, 0.0288, 0.0466, 0.0453, 0.003, 0.0094, 0.0153, 0.1331, 0.0274, 0.0973, 0.0155, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=9.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 54.0]), label=1.0, probability=DenseVector([0.0473, 0.1162, 0.4166, 0.0292, 0.0494, 0.0463, 0.003, 0.0098, 0.0154, 0.133, 0.0299, 0.0883, 0.0155, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 47.0]), label=9.0, probability=DenseVector([0.0342, 0.0718, 0.3086, 0.0802, 0.0287, 0.1187, 0.0195, 0.0031, 0.0083, 0.1826, 0.0161, 0.1091, 0.0161, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 48.0]), label=9.0, probability=DenseVector([0.0257, 0.0982, 0.5492, 0.013, 0.0255, 0.0501, 0.003, 0.0037, 0.0039, 0.0658, 0.0203, 0.1313, 0.01, 0.0003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 50.0]), label=9.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=9.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=4.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=4.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=9.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 56.0]), label=9.0, probability=DenseVector([0.0523, 0.1062, 0.3739, 0.0394, 0.0561, 0.0918, 0.0031, 0.0115, 0.0176, 0.1081, 0.0345, 0.0825, 0.0211, 0.0021]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 56.0]), label=4.0, probability=DenseVector([0.0523, 0.1062, 0.3739, 0.0394, 0.0561, 0.0918, 0.0031, 0.0115, 0.0176, 0.1081, 0.0345, 0.0825, 0.0211, 0.0021]))
Row(prediction=9.0, features=DenseVector([41.0, 34.0, 46.0]), label=3.0, probability=DenseVector([0.034, 0.0529, 0.1971, 0.1047, 0.0299, 0.1338, 0.0255, 0.0035, 0.0103, 0.2415, 0.0144, 0.1284, 0.0193, 0.0047]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 47.0]), label=9.0, probability=DenseVector([0.035, 0.0664, 0.302, 0.0826, 0.0296, 0.1297, 0.0196, 0.0041, 0.0091, 0.1784, 0.0173, 0.107, 0.0156, 0.0036]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=9.0, features=DenseVector([41.0, 36.0, 46.0]), label=3.0, probability=DenseVector([0.0296, 0.0502, 0.2074, 0.1116, 0.0291, 0.1444, 0.0241, 0.0035, 0.0095, 0.2224, 0.0144, 0.1307, 0.0179, 0.0051]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 58.0]), label=1.0, probability=DenseVector([0.0531, 0.1008, 0.3674, 0.0417, 0.057, 0.1028, 0.0031, 0.0125, 0.0184, 0.1038, 0.0357, 0.0804, 0.0206, 0.0028]))
Row(prediction=9.0, features=DenseVector([41.0, 37.0, 46.0]), label=9.0, probability=DenseVector([0.0296, 0.0502, 0.2074, 0.1116, 0.0291, 0.1444, 0.0241, 0.0035, 0.0095, 0.2224, 0.0144, 0.1307, 0.0179, 0.0051]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0291, 0.0918, 0.5378, 0.0246, 0.0269, 0.0608, 0.0022, 0.0104, 0.0086, 0.0487, 0.022, 0.1258, 0.0095, 0.0017]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 49.0]), label=1.0, probability=DenseVector([0.0291, 0.0918, 0.5378, 0.0246, 0.0269, 0.0608, 0.0022, 0.0104, 0.0086, 0.0487, 0.022, 0.1258, 0.0095, 0.0017]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=4.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 53.0]), label=0.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 55.0]), label=1.0, probability=DenseVector([0.0531, 0.1008, 0.3674, 0.0417, 0.057, 0.1028, 0.0031, 0.0125, 0.0184, 0.1038, 0.0357, 0.0804, 0.0206, 0.0028]))
Row(prediction=9.0, features=DenseVector([41.0, 38.0, 41.0]), label=9.0, probability=DenseVector([0.04, 0.0724, 0.036, 0.0202, 0.041, 0.0205, 0.0903, 0.003, 0.0091, 0.469, 0.0313, 0.1406, 0.0261, 0.0004]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 53.0]), label=9.0, probability=DenseVector([0.0428, 0.0806, 0.2144, 0.1107, 0.039, 0.3383, 0.0029, 0.0134, 0.018, 0.0634, 0.0406, 0.0175, 0.0132, 0.0053]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 53.0]), label=4.0, probability=DenseVector([0.0428, 0.0806, 0.2144, 0.1107, 0.039, 0.3383, 0.0029, 0.0134, 0.018, 0.0634, 0.0406, 0.0175, 0.0132, 0.0053]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0428, 0.0806, 0.2144, 0.1107, 0.039, 0.3383, 0.0029, 0.0134, 0.018, 0.0634, 0.0406, 0.0175, 0.0132, 0.0053]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 60.0]), label=9.0, probability=DenseVector([0.044, 0.0823, 0.2044, 0.1133, 0.0436, 0.3138, 0.0035, 0.0128, 0.0215, 0.0795, 0.0395, 0.0206, 0.0172, 0.0039]))
Row(prediction=9.0, features=DenseVector([41.0, 39.0, 35.0]), label=9.0, probability=DenseVector([0.0422, 0.09, 0.0093, 0.0062, 0.0292, 0.0193, 0.103, 0.0051, 0.0052, 0.5935, 0.0309, 0.0374, 0.0285, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 39.0, 41.0]), label=9.0, probability=DenseVector([0.043, 0.0674, 0.0374, 0.0258, 0.0423, 0.0253, 0.1006, 0.003, 0.0084, 0.445, 0.0333, 0.1438, 0.0242, 0.0005]))
Row(prediction=9.0, features=DenseVector([41.0, 39.0, 44.0]), label=4.0, probability=DenseVector([0.0279, 0.0417, 0.1455, 0.1466, 0.0335, 0.1436, 0.0522, 0.0042, 0.0101, 0.2713, 0.0145, 0.0852, 0.0167, 0.0069]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0397, 0.1687, 0.167, 0.0274, 0.2004, 0.0313, 0.0049, 0.0106, 0.1972, 0.0134, 0.0919, 0.0157, 0.0066]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 53.0]), label=9.0, probability=DenseVector([0.0428, 0.0806, 0.2144, 0.1107, 0.039, 0.3383, 0.0029, 0.0134, 0.018, 0.0634, 0.0406, 0.0175, 0.0132, 0.0053]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=9.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 52.0]), label=9.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=9.0, features=DenseVector([41.0, 41.0, 45.0]), label=9.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.0326, 0.0473, 0.2065, 0.2826, 0.0308, 0.1776, 0.0063, 0.0264, 0.0403, 0.0847, 0.0173, 0.0172, 0.0161, 0.0142]))
Row(prediction=9.0, features=DenseVector([41.0, 42.0, 42.0]), label=9.0, probability=DenseVector([0.0422, 0.0412, 0.1074, 0.1296, 0.0452, 0.0492, 0.0836, 0.0049, 0.0118, 0.3632, 0.0326, 0.0571, 0.019, 0.0131]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 48.0]), label=9.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=9.0, features=DenseVector([41.0, 43.0, 37.0]), label=9.0, probability=DenseVector([0.063, 0.0961, 0.0198, 0.0258, 0.0465, 0.002, 0.2492, 0.0027, 0.013, 0.394, 0.0433, 0.0264, 0.0156, 0.0026]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 55.0]), label=12.0, probability=DenseVector([0.0331, 0.0497, 0.1992, 0.2746, 0.0322, 0.1732, 0.0079, 0.024, 0.0433, 0.0955, 0.0177, 0.0181, 0.018, 0.0134]))
Row(prediction=9.0, features=DenseVector([41.0, 44.0, 40.0]), label=9.0, probability=DenseVector([0.0641, 0.0983, 0.0219, 0.0273, 0.0426, 0.002, 0.2602, 0.0028, 0.0135, 0.3925, 0.0297, 0.0266, 0.0157, 0.0028]))
Row(prediction=9.0, features=DenseVector([41.0, 44.0, 42.0]), label=9.0, probability=DenseVector([0.0417, 0.0567, 0.1146, 0.1438, 0.0404, 0.0488, 0.1228, 0.0043, 0.0139, 0.3113, 0.0177, 0.0503, 0.0178, 0.0156]))
Row(prediction=9.0, features=DenseVector([41.0, 44.0, 43.0]), label=9.0, probability=DenseVector([0.034, 0.0447, 0.1369, 0.1761, 0.0373, 0.0772, 0.0704, 0.0088, 0.0186, 0.291, 0.0158, 0.0494, 0.0169, 0.0231]))
Row(prediction=9.0, features=DenseVector([41.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 46.0]), label=9.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 50.0]), label=4.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 45.0]), label=4.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 49.0]), label=1.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 50.0]), label=9.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 50.0]), label=1.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=9.0, features=DenseVector([41.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=9.0, features=DenseVector([41.0, 47.0, 44.0]), label=2.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=3.0, features=DenseVector([41.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([41.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([41.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=9.0, features=DenseVector([41.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=3.0, features=DenseVector([41.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0119, 0.0306, 0.1948, 0.3033, 0.0184, 0.1593, 0.0258, 0.0157, 0.0223, 0.1398, 0.0083, 0.0195, 0.0125, 0.0378]))
Row(prediction=9.0, features=DenseVector([41.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.025, 0.042, 0.1343, 0.2032, 0.0298, 0.0719, 0.0837, 0.0075, 0.0156, 0.277, 0.0098, 0.0441, 0.0148, 0.0413]))
Row(prediction=3.0, features=DenseVector([41.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0119, 0.0306, 0.1948, 0.3033, 0.0184, 0.1593, 0.0258, 0.0157, 0.0223, 0.1398, 0.0083, 0.0195, 0.0125, 0.0378]))
Row(prediction=3.0, features=DenseVector([41.0, 49.0, 50.0]), label=9.0, probability=DenseVector([0.0122, 0.0334, 0.1921, 0.2947, 0.0191, 0.1669, 0.0257, 0.0143, 0.0227, 0.1403, 0.0092, 0.0193, 0.0129, 0.0373]))
Row(prediction=3.0, features=DenseVector([41.0, 49.0, 52.0]), label=8.0, probability=DenseVector([0.0303, 0.053, 0.1926, 0.2424, 0.0318, 0.1435, 0.0192, 0.0216, 0.0434, 0.1359, 0.0185, 0.0247, 0.0215, 0.0215]))
Row(prediction=3.0, features=DenseVector([41.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=9.0, features=DenseVector([41.0, 51.0, 50.0]), label=9.0, probability=DenseVector([0.0085, 0.036, 0.15, 0.2328, 0.0282, 0.1232, 0.0636, 0.0077, 0.0195, 0.2667, 0.0096, 0.0205, 0.0189, 0.0148]))
Row(prediction=9.0, features=DenseVector([41.0, 51.0, 56.0]), label=9.0, probability=DenseVector([0.017, 0.0498, 0.1058, 0.1567, 0.0459, 0.089, 0.0606, 0.0076, 0.0281, 0.3697, 0.0163, 0.0171, 0.0327, 0.0036]))
Row(prediction=6.0, features=DenseVector([41.0, 60.0, 34.0]), label=1.0, probability=DenseVector([0.0314, 0.0239, 0.0074, 0.0125, 0.012, 0.0, 0.841, 0.0072, 0.0163, 0.0343, 0.0022, 0.0032, 0.0085, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 11.0, 34.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 11.0, 42.0]), label=9.0, probability=DenseVector([0.0097, 0.074, 0.1817, 0.019, 0.0134, 0.02, 0.023, 0.0004, 0.0036, 0.5295, 0.0038, 0.0887, 0.0327, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 11.0, 45.0]), label=9.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 12.0, 34.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 12.0, 38.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 13.0, 36.0]), label=12.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 13.0, 50.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 14.0, 29.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 15.0, 30.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 23.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 32.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 41.0]), label=9.0, probability=DenseVector([0.0185, 0.0906, 0.0765, 0.0088, 0.0194, 0.0037, 0.047, 0.0011, 0.0056, 0.5748, 0.0079, 0.1107, 0.0353, 0.0002]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 43.0]), label=9.0, probability=DenseVector([0.0097, 0.0745, 0.2084, 0.019, 0.0138, 0.0203, 0.0206, 0.0005, 0.0034, 0.5019, 0.0042, 0.092, 0.0312, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 17.0, 46.0]), label=9.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=2.0, features=DenseVector([42.0, 17.0, 46.0]), label=1.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=9.0, features=DenseVector([42.0, 18.0, 36.0]), label=1.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 18.0, 42.0]), label=9.0, probability=DenseVector([0.0097, 0.074, 0.1817, 0.019, 0.0134, 0.02, 0.023, 0.0004, 0.0036, 0.5295, 0.0038, 0.0887, 0.0327, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 19.0, 39.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 19.0, 40.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 19.0, 42.0]), label=9.0, probability=DenseVector([0.0097, 0.074, 0.1817, 0.019, 0.0134, 0.02, 0.023, 0.0004, 0.0036, 0.5295, 0.0038, 0.0887, 0.0327, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 19.0, 43.0]), label=9.0, probability=DenseVector([0.0097, 0.0745, 0.2084, 0.019, 0.0138, 0.0203, 0.0206, 0.0005, 0.0034, 0.5019, 0.0042, 0.092, 0.0312, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 19.0, 47.0]), label=9.0, probability=DenseVector([0.0066, 0.0873, 0.3996, 0.02, 0.0095, 0.0347, 0.0018, 0.0004, 0.0016, 0.3511, 0.004, 0.0557, 0.027, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 19.0, 51.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 34.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 39.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 44.0]), label=1.0, probability=DenseVector([0.0077, 0.0718, 0.2981, 0.0211, 0.0117, 0.021, 0.0153, 0.0004, 0.0023, 0.4202, 0.0034, 0.0992, 0.0272, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 53.0]), label=9.0, probability=DenseVector([0.0096, 0.0793, 0.1829, 0.006, 0.0177, 0.0074, 0.0016, 0.0013, 0.0039, 0.6133, 0.0067, 0.0379, 0.0324, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 55.0]), label=9.0, probability=DenseVector([0.0096, 0.0793, 0.1829, 0.006, 0.0177, 0.0074, 0.0016, 0.0013, 0.0039, 0.6133, 0.0067, 0.0379, 0.0324, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 21.0, 22.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 21.0, 28.0]), label=12.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 22.0, 33.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 22.0, 42.0]), label=9.0, probability=DenseVector([0.0126, 0.0736, 0.1559, 0.0251, 0.018, 0.0198, 0.0304, 0.0004, 0.0048, 0.5499, 0.0041, 0.0725, 0.0324, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 22.0, 44.0]), label=2.0, probability=DenseVector([0.0106, 0.0746, 0.2616, 0.0273, 0.0169, 0.021, 0.0228, 0.0004, 0.0035, 0.4451, 0.0036, 0.0856, 0.0264, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 22.0, 44.0]), label=9.0, probability=DenseVector([0.0106, 0.0746, 0.2616, 0.0273, 0.0169, 0.021, 0.0228, 0.0004, 0.0035, 0.4451, 0.0036, 0.0856, 0.0264, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 22.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 22.0, 47.0]), label=9.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 23.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 24.0, 35.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 24.0, 40.0]), label=1.0, probability=DenseVector([0.0223, 0.0984, 0.0227, 0.0105, 0.0242, 0.0067, 0.0684, 0.001, 0.0081, 0.6195, 0.0088, 0.0735, 0.036, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 24.0, 40.0]), label=1.0, probability=DenseVector([0.0223, 0.0984, 0.0227, 0.0105, 0.0242, 0.0067, 0.0684, 0.001, 0.0081, 0.6195, 0.0088, 0.0735, 0.036, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 47.0]), label=9.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 56.0]), label=12.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 53.0]), label=1.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 26.0, 36.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 26.0, 37.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 26.0, 43.0]), label=9.0, probability=DenseVector([0.0126, 0.074, 0.1827, 0.0251, 0.0184, 0.0201, 0.0281, 0.0005, 0.0046, 0.5224, 0.0044, 0.0758, 0.0309, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 47.0]), label=1.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 27.0, 41.0]), label=9.0, probability=DenseVector([0.0206, 0.0901, 0.0627, 0.0143, 0.023, 0.0037, 0.054, 0.0011, 0.0066, 0.6017, 0.008, 0.0788, 0.0354, 0.0002]))
Row(prediction=9.0, features=DenseVector([42.0, 27.0, 42.0]), label=9.0, probability=DenseVector([0.0126, 0.0736, 0.1559, 0.0251, 0.018, 0.0198, 0.0304, 0.0004, 0.0048, 0.5499, 0.0041, 0.0725, 0.0324, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 27.0, 45.0]), label=1.0, probability=DenseVector([0.0093, 0.0784, 0.3514, 0.0302, 0.0136, 0.0249, 0.0101, 0.0003, 0.0027, 0.3689, 0.0037, 0.0824, 0.0236, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 46.0]), label=9.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 52.0]), label=2.0, probability=DenseVector([0.0253, 0.1239, 0.5159, 0.0143, 0.0255, 0.0179, 0.0005, 0.0048, 0.0077, 0.0955, 0.0164, 0.1386, 0.0137, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 54.0]), label=9.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 29.0, 43.0]), label=9.0, probability=DenseVector([0.0126, 0.074, 0.1827, 0.0251, 0.0184, 0.0201, 0.0281, 0.0005, 0.0046, 0.5224, 0.0044, 0.0758, 0.0309, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 29.0, 44.0]), label=9.0, probability=DenseVector([0.0106, 0.0746, 0.2616, 0.0273, 0.0169, 0.021, 0.0228, 0.0004, 0.0035, 0.4451, 0.0036, 0.0856, 0.0264, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 47.0]), label=9.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 30.0, 32.0]), label=9.0, probability=DenseVector([0.0157, 0.0912, 0.0112, 0.0043, 0.0154, 0.0027, 0.0632, 0.0015, 0.0029, 0.6927, 0.0048, 0.0501, 0.0443, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 54.0]), label=9.0, probability=DenseVector([0.0361, 0.1272, 0.4177, 0.0244, 0.0432, 0.0239, 0.0029, 0.0076, 0.0146, 0.1506, 0.0229, 0.1134, 0.0152, 0.0002]))
Row(prediction=9.0, features=DenseVector([42.0, 31.0, 41.0]), label=9.0, probability=DenseVector([0.0308, 0.0856, 0.0423, 0.0199, 0.0277, 0.0045, 0.0575, 0.0011, 0.0083, 0.5705, 0.0094, 0.1095, 0.0328, 0.0002]))
Row(prediction=9.0, features=DenseVector([42.0, 31.0, 45.0]), label=9.0, probability=DenseVector([0.0294, 0.0507, 0.2014, 0.094, 0.0264, 0.06, 0.0309, 0.0008, 0.0072, 0.3047, 0.008, 0.1641, 0.0192, 0.0033]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 58.0]), label=9.0, probability=DenseVector([0.0361, 0.1272, 0.4177, 0.0244, 0.0432, 0.0239, 0.0029, 0.0076, 0.0146, 0.1506, 0.0229, 0.1134, 0.0152, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.029, 0.0972, 0.5605, 0.0192, 0.0274, 0.0226, 0.0006, 0.009, 0.012, 0.0626, 0.019, 0.1329, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.0389, 0.1232, 0.4212, 0.0248, 0.046, 0.0248, 0.0029, 0.0079, 0.0148, 0.1505, 0.0254, 0.1044, 0.0151, 0.0002]))
Row(prediction=9.0, features=DenseVector([42.0, 33.0, 43.0]), label=9.0, probability=DenseVector([0.0317, 0.0538, 0.13, 0.0826, 0.0302, 0.0543, 0.0463, 0.001, 0.0081, 0.4197, 0.0086, 0.1083, 0.0225, 0.003]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 47.0]), label=9.0, probability=DenseVector([0.0301, 0.0703, 0.348, 0.0837, 0.025, 0.0842, 0.0172, 0.0016, 0.006, 0.1787, 0.0118, 0.1272, 0.0135, 0.0028]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 47.0]), label=9.0, probability=DenseVector([0.0301, 0.0703, 0.348, 0.0837, 0.025, 0.0842, 0.0172, 0.0016, 0.006, 0.1787, 0.0118, 0.1272, 0.0135, 0.0028]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 50.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 34.0, 46.0]), label=9.0, probability=DenseVector([0.0292, 0.0503, 0.2187, 0.1122, 0.0256, 0.0884, 0.0244, 0.001, 0.0073, 0.2657, 0.0081, 0.1467, 0.0187, 0.0038]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=9.0, features=DenseVector([42.0, 35.0, 34.0]), label=9.0, probability=DenseVector([0.0202, 0.0905, 0.011, 0.0048, 0.0144, 0.0028, 0.0604, 0.0027, 0.003, 0.7008, 0.0048, 0.0492, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 35.0, 44.0]), label=9.0, probability=DenseVector([0.0308, 0.0497, 0.148, 0.0935, 0.0295, 0.0562, 0.0437, 0.0009, 0.0079, 0.3824, 0.0083, 0.1246, 0.0211, 0.0034]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 49.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 62.0]), label=9.0, probability=DenseVector([0.0438, 0.1132, 0.3786, 0.035, 0.0528, 0.0703, 0.0031, 0.0097, 0.0169, 0.1256, 0.0299, 0.0986, 0.0207, 0.0019]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 49.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 52.0]), label=9.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=9.0, features=DenseVector([42.0, 37.0, 41.0]), label=4.0, probability=DenseVector([0.0304, 0.0703, 0.0423, 0.0245, 0.0328, 0.0035, 0.0639, 0.0011, 0.0071, 0.5316, 0.0111, 0.1546, 0.0265, 0.0003]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=9.0, features=DenseVector([42.0, 38.0, 41.0]), label=9.0, probability=DenseVector([0.0304, 0.0703, 0.0423, 0.0245, 0.0328, 0.0035, 0.0639, 0.0011, 0.0071, 0.5316, 0.0111, 0.1546, 0.0265, 0.0003]))
Row(prediction=9.0, features=DenseVector([42.0, 38.0, 44.0]), label=2.0, probability=DenseVector([0.0274, 0.0408, 0.1507, 0.1179, 0.0318, 0.0616, 0.0527, 0.0009, 0.0086, 0.3605, 0.0085, 0.1159, 0.0189, 0.0038]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 51.0]), label=4.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 52.0]), label=4.0, probability=DenseVector([0.0351, 0.0808, 0.3798, 0.07, 0.0338, 0.1734, 0.0032, 0.0097, 0.014, 0.0846, 0.0294, 0.0711, 0.0118, 0.0033]))
Row(prediction=9.0, features=DenseVector([42.0, 39.0, 36.0]), label=9.0, probability=DenseVector([0.0264, 0.0884, 0.0103, 0.005, 0.0164, 0.0021, 0.068, 0.0026, 0.0028, 0.6874, 0.0076, 0.049, 0.0341, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 39.0, 43.0]), label=4.0, probability=DenseVector([0.0249, 0.042, 0.1348, 0.1124, 0.0318, 0.065, 0.058, 0.0011, 0.0083, 0.3873, 0.008, 0.103, 0.0198, 0.0036]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 49.0]), label=1.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 51.0]), label=10.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 51.0]), label=9.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=9.0, features=DenseVector([42.0, 40.0, 43.0]), label=9.0, probability=DenseVector([0.0307, 0.0388, 0.1371, 0.1234, 0.0376, 0.0488, 0.0635, 0.0011, 0.0095, 0.3963, 0.0127, 0.0754, 0.0195, 0.0056]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0145, 0.0505, 0.3577, 0.1985, 0.017, 0.1433, 0.0054, 0.0115, 0.0199, 0.0876, 0.009, 0.0684, 0.0096, 0.0071]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 51.0]), label=9.0, probability=DenseVector([0.0145, 0.0505, 0.3577, 0.1985, 0.017, 0.1433, 0.0054, 0.0115, 0.0199, 0.0876, 0.009, 0.0684, 0.0096, 0.0071]))
Row(prediction=9.0, features=DenseVector([42.0, 41.0, 45.0]), label=9.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=9.0, features=DenseVector([42.0, 43.0, 45.0]), label=3.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=9.0, features=DenseVector([42.0, 43.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 53.0]), label=1.0, probability=DenseVector([0.0242, 0.0618, 0.2511, 0.2221, 0.0344, 0.0914, 0.0096, 0.0157, 0.0335, 0.1708, 0.0137, 0.0472, 0.0206, 0.0039]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 54.0]), label=9.0, probability=DenseVector([0.0242, 0.0618, 0.2511, 0.2221, 0.0344, 0.0914, 0.0096, 0.0157, 0.0335, 0.1708, 0.0137, 0.0472, 0.0206, 0.0039]))
Row(prediction=9.0, features=DenseVector([42.0, 44.0, 39.0]), label=4.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 44.0, 45.0]), label=4.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 46.0]), label=4.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 48.0]), label=9.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=9.0, features=DenseVector([42.0, 45.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 62.0]), label=9.0, probability=DenseVector([0.02, 0.0659, 0.1953, 0.1991, 0.0425, 0.0764, 0.0225, 0.0105, 0.0357, 0.2409, 0.0157, 0.0427, 0.0304, 0.0024]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 42.0]), label=3.0, probability=DenseVector([0.0238, 0.0399, 0.0945, 0.133, 0.0311, 0.0434, 0.1155, 0.0007, 0.0088, 0.4216, 0.0069, 0.0584, 0.0183, 0.004]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 43.0]), label=4.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([42.0, 50.0, 41.0]), label=4.0, probability=DenseVector([0.0324, 0.0455, 0.0448, 0.0573, 0.0271, 0.0059, 0.3302, 0.0046, 0.0202, 0.3608, 0.0047, 0.0462, 0.0195, 0.0008]))
Row(prediction=9.0, features=DenseVector([42.0, 51.0, 47.0]), label=9.0, probability=DenseVector([0.0137, 0.0308, 0.1181, 0.1811, 0.0303, 0.1181, 0.0904, 0.0026, 0.0137, 0.3361, 0.0078, 0.0324, 0.019, 0.0059]))
Row(prediction=6.0, features=DenseVector([42.0, 52.0, 40.0]), label=9.0, probability=DenseVector([0.0304, 0.0363, 0.0317, 0.0396, 0.0248, 0.0001, 0.4559, 0.0063, 0.0413, 0.2883, 0.0039, 0.0245, 0.0161, 0.0008]))
Row(prediction=9.0, features=DenseVector([42.0, 52.0, 45.0]), label=9.0, probability=DenseVector([0.0178, 0.0329, 0.1031, 0.1415, 0.034, 0.0477, 0.1267, 0.0007, 0.0118, 0.384, 0.0076, 0.0661, 0.0193, 0.0067]))
Row(prediction=9.0, features=DenseVector([42.0, 55.0, 42.0]), label=9.0, probability=DenseVector([0.0182, 0.0336, 0.0951, 0.1434, 0.0329, 0.0435, 0.1402, 0.0007, 0.0124, 0.4004, 0.0068, 0.047, 0.0182, 0.0077]))
Row(prediction=9.0, features=DenseVector([42.0, 59.0, 55.0]), label=9.0, probability=DenseVector([0.0149, 0.052, 0.0818, 0.1305, 0.0432, 0.0435, 0.0977, 0.0067, 0.0261, 0.4387, 0.013, 0.0155, 0.0355, 0.0009]))
Row(prediction=9.0, features=DenseVector([42.0, 62.0, 56.0]), label=12.0, probability=DenseVector([0.0149, 0.052, 0.0818, 0.1305, 0.0432, 0.0435, 0.0977, 0.0067, 0.0261, 0.4387, 0.013, 0.0155, 0.0355, 0.0009]))
Row(prediction=9.0, features=DenseVector([43.0, 0.0, 35.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 0.0, 55.0]), label=9.0, probability=DenseVector([0.0096, 0.0793, 0.1829, 0.006, 0.0177, 0.0074, 0.0016, 0.0013, 0.0039, 0.6133, 0.0067, 0.0379, 0.0324, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 2.0, 49.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 6.0, 34.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 7.0, 22.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 9.0, 33.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 10.0, 47.0]), label=9.0, probability=DenseVector([0.0066, 0.0873, 0.3996, 0.02, 0.0095, 0.0347, 0.0018, 0.0004, 0.0016, 0.3511, 0.004, 0.0557, 0.027, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 11.0, 39.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 12.0, 37.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 12.0, 39.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 12.0, 43.0]), label=9.0, probability=DenseVector([0.0097, 0.0745, 0.2084, 0.019, 0.0138, 0.0203, 0.0206, 0.0005, 0.0034, 0.5019, 0.0042, 0.092, 0.0312, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 13.0, 30.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 13.0, 42.0]), label=9.0, probability=DenseVector([0.0097, 0.074, 0.1817, 0.019, 0.0134, 0.02, 0.023, 0.0004, 0.0036, 0.5295, 0.0038, 0.0887, 0.0327, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 14.0, 31.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 14.0, 41.0]), label=9.0, probability=DenseVector([0.0185, 0.0906, 0.0765, 0.0088, 0.0194, 0.0037, 0.047, 0.0011, 0.0056, 0.5748, 0.0079, 0.1107, 0.0353, 0.0002]))
Row(prediction=9.0, features=DenseVector([43.0, 14.0, 43.0]), label=9.0, probability=DenseVector([0.0097, 0.0745, 0.2084, 0.019, 0.0138, 0.0203, 0.0206, 0.0005, 0.0034, 0.5019, 0.0042, 0.092, 0.0312, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 14.0, 46.0]), label=9.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=9.0, features=DenseVector([43.0, 14.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 15.0, 37.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 17.0, 29.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 17.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 18.0, 32.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 18.0, 45.0]), label=9.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 18.0, 51.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 34.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 39.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 40.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 40.0]), label=1.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 19.0, 46.0]), label=9.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 51.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 53.0]), label=9.0, probability=DenseVector([0.0096, 0.0793, 0.1829, 0.006, 0.0177, 0.0074, 0.0016, 0.0013, 0.0039, 0.6133, 0.0067, 0.0379, 0.0324, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 20.0, 42.0]), label=9.0, probability=DenseVector([0.0097, 0.074, 0.1817, 0.019, 0.0134, 0.02, 0.023, 0.0004, 0.0036, 0.5295, 0.0038, 0.0887, 0.0327, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 20.0, 42.0]), label=9.0, probability=DenseVector([0.0097, 0.074, 0.1817, 0.019, 0.0134, 0.02, 0.023, 0.0004, 0.0036, 0.5295, 0.0038, 0.0887, 0.0327, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 20.0, 43.0]), label=9.0, probability=DenseVector([0.0097, 0.0745, 0.2084, 0.019, 0.0138, 0.0203, 0.0206, 0.0005, 0.0034, 0.5019, 0.0042, 0.092, 0.0312, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 20.0, 44.0]), label=9.0, probability=DenseVector([0.0077, 0.0718, 0.2981, 0.0211, 0.0117, 0.021, 0.0153, 0.0004, 0.0023, 0.4202, 0.0034, 0.0992, 0.0272, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 21.0, 29.0]), label=9.0, probability=DenseVector([0.0133, 0.0991, 0.011, 0.0038, 0.0119, 0.0026, 0.0377, 0.0015, 0.0027, 0.7224, 0.0028, 0.0441, 0.0471, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 21.0, 36.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 21.0, 37.0]), label=1.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 21.0, 38.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 21.0, 38.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 45.0]), label=9.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 21.0, 46.0]), label=1.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=9.0, features=DenseVector([43.0, 21.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 22.0, 41.0]), label=9.0, probability=DenseVector([0.0206, 0.0901, 0.0627, 0.0143, 0.023, 0.0037, 0.054, 0.0011, 0.0066, 0.6017, 0.008, 0.0788, 0.0354, 0.0002]))
Row(prediction=9.0, features=DenseVector([43.0, 22.0, 43.0]), label=9.0, probability=DenseVector([0.0126, 0.074, 0.1827, 0.0251, 0.0184, 0.0201, 0.0281, 0.0005, 0.0046, 0.5224, 0.0044, 0.0758, 0.0309, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 22.0, 45.0]), label=2.0, probability=DenseVector([0.0093, 0.0784, 0.3514, 0.0302, 0.0136, 0.0249, 0.0101, 0.0003, 0.0027, 0.3689, 0.0037, 0.0824, 0.0236, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 22.0, 45.0]), label=2.0, probability=DenseVector([0.0093, 0.0784, 0.3514, 0.0302, 0.0136, 0.0249, 0.0101, 0.0003, 0.0027, 0.3689, 0.0037, 0.0824, 0.0236, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 22.0, 47.0]), label=9.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 22.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 22.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 23.0, 36.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 46.0]), label=9.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 46.0]), label=2.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 47.0]), label=1.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 47.0]), label=1.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 47.0]), label=9.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 53.0]), label=9.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 25.0, 44.0]), label=9.0, probability=DenseVector([0.0106, 0.0746, 0.2616, 0.0273, 0.0169, 0.021, 0.0228, 0.0004, 0.0035, 0.4451, 0.0036, 0.0856, 0.0264, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 47.0]), label=1.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 26.0, 42.0]), label=9.0, probability=DenseVector([0.0126, 0.0736, 0.1559, 0.0251, 0.018, 0.0198, 0.0304, 0.0004, 0.0048, 0.5499, 0.0041, 0.0725, 0.0324, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 26.0, 43.0]), label=9.0, probability=DenseVector([0.0126, 0.074, 0.1827, 0.0251, 0.0184, 0.0201, 0.0281, 0.0005, 0.0046, 0.5224, 0.0044, 0.0758, 0.0309, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 53.0]), label=1.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 27.0, 24.0]), label=9.0, probability=DenseVector([0.0131, 0.0938, 0.0107, 0.0042, 0.0125, 0.0023, 0.0531, 0.0017, 0.0024, 0.7129, 0.0029, 0.0454, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 27.0, 34.0]), label=9.0, probability=DenseVector([0.0149, 0.0918, 0.0112, 0.0046, 0.0139, 0.0027, 0.0603, 0.0017, 0.0029, 0.7017, 0.0039, 0.0458, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 27.0, 44.0]), label=9.0, probability=DenseVector([0.0106, 0.0746, 0.2616, 0.0273, 0.0169, 0.021, 0.0228, 0.0004, 0.0035, 0.4451, 0.0036, 0.0856, 0.0264, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 27.0, 44.0]), label=9.0, probability=DenseVector([0.0106, 0.0746, 0.2616, 0.0273, 0.0169, 0.021, 0.0228, 0.0004, 0.0035, 0.4451, 0.0036, 0.0856, 0.0264, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 27.0, 45.0]), label=9.0, probability=DenseVector([0.0093, 0.0784, 0.3514, 0.0302, 0.0136, 0.0249, 0.0101, 0.0003, 0.0027, 0.3689, 0.0037, 0.0824, 0.0236, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 28.0, 35.0]), label=9.0, probability=DenseVector([0.0149, 0.0918, 0.0112, 0.0046, 0.0139, 0.0027, 0.0603, 0.0017, 0.0029, 0.7017, 0.0039, 0.0458, 0.0446, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 29.0, 42.0]), label=9.0, probability=DenseVector([0.0126, 0.0736, 0.1559, 0.0251, 0.018, 0.0198, 0.0304, 0.0004, 0.0048, 0.5499, 0.0041, 0.0725, 0.0324, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 46.0]), label=9.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 30.0, 32.0]), label=9.0, probability=DenseVector([0.0157, 0.0912, 0.0112, 0.0043, 0.0154, 0.0027, 0.0632, 0.0015, 0.0029, 0.6927, 0.0048, 0.0501, 0.0443, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 30.0, 42.0]), label=9.0, probability=DenseVector([0.0317, 0.0534, 0.1032, 0.0826, 0.0298, 0.054, 0.0486, 0.0009, 0.0083, 0.4472, 0.0083, 0.105, 0.024, 0.003]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 54.0]), label=1.0, probability=DenseVector([0.0361, 0.1272, 0.4177, 0.0244, 0.0432, 0.0239, 0.0029, 0.0076, 0.0146, 0.1506, 0.0229, 0.1134, 0.0152, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 47.0]), label=1.0, probability=DenseVector([0.0301, 0.0703, 0.348, 0.0837, 0.025, 0.0842, 0.0172, 0.0016, 0.006, 0.1787, 0.0118, 0.1272, 0.0135, 0.0028]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=9.0, features=DenseVector([43.0, 32.0, 45.0]), label=9.0, probability=DenseVector([0.0294, 0.0507, 0.2014, 0.094, 0.0264, 0.06, 0.0309, 0.0008, 0.0072, 0.3047, 0.008, 0.1641, 0.0192, 0.0033]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 48.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 34.0, 31.0]), label=9.0, probability=DenseVector([0.0202, 0.0905, 0.011, 0.0048, 0.0144, 0.0028, 0.0604, 0.0027, 0.003, 0.7008, 0.0048, 0.0492, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 34.0, 33.0]), label=9.0, probability=DenseVector([0.0202, 0.0905, 0.011, 0.0048, 0.0144, 0.0028, 0.0604, 0.0027, 0.003, 0.7008, 0.0048, 0.0492, 0.0355, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 47.0]), label=9.0, probability=DenseVector([0.0301, 0.0703, 0.348, 0.0837, 0.025, 0.0842, 0.0172, 0.0016, 0.006, 0.1787, 0.0118, 0.1272, 0.0135, 0.0028]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 51.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 36.0, 39.0]), label=9.0, probability=DenseVector([0.0296, 0.0726, 0.0174, 0.0124, 0.0294, 0.0035, 0.0774, 0.0012, 0.0062, 0.5773, 0.0113, 0.1368, 0.025, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 48.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 51.0]), label=4.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=9.0, features=DenseVector([43.0, 38.0, 34.0]), label=9.0, probability=DenseVector([0.0202, 0.0905, 0.011, 0.0048, 0.0144, 0.0028, 0.0604, 0.0027, 0.003, 0.7008, 0.0048, 0.0492, 0.0355, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 47.0]), label=9.0, probability=DenseVector([0.025, 0.0489, 0.2892, 0.1257, 0.0245, 0.1543, 0.0174, 0.0019, 0.0082, 0.1767, 0.0116, 0.1004, 0.0128, 0.0034]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 52.0]), label=9.0, probability=DenseVector([0.0351, 0.0808, 0.3798, 0.07, 0.0338, 0.1734, 0.0032, 0.0097, 0.014, 0.0846, 0.0294, 0.0711, 0.0118, 0.0033]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 56.0]), label=4.0, probability=DenseVector([0.0365, 0.0889, 0.3242, 0.072, 0.0435, 0.1481, 0.0047, 0.009, 0.02, 0.1369, 0.0294, 0.0651, 0.0197, 0.002]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 58.0]), label=9.0, probability=DenseVector([0.0365, 0.0889, 0.3242, 0.072, 0.0435, 0.1481, 0.0047, 0.009, 0.02, 0.1369, 0.0294, 0.0651, 0.0197, 0.002]))
Row(prediction=9.0, features=DenseVector([43.0, 39.0, 46.0]), label=9.0, probability=DenseVector([0.0223, 0.0371, 0.2297, 0.1453, 0.0255, 0.11, 0.0309, 0.0012, 0.0074, 0.2365, 0.0072, 0.1261, 0.0161, 0.0047]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=9.0, features=DenseVector([43.0, 40.0, 35.0]), label=9.0, probability=DenseVector([0.0264, 0.0884, 0.0103, 0.005, 0.0164, 0.0021, 0.068, 0.0026, 0.0028, 0.6874, 0.0076, 0.049, 0.0341, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 40.0, 41.0]), label=9.0, probability=DenseVector([0.0365, 0.0654, 0.0454, 0.036, 0.0376, 0.0087, 0.0776, 0.0012, 0.0074, 0.5147, 0.0164, 0.1267, 0.0251, 0.0014]))
Row(prediction=9.0, features=DenseVector([43.0, 40.0, 43.0]), label=9.0, probability=DenseVector([0.0307, 0.0388, 0.1371, 0.1234, 0.0376, 0.0488, 0.0635, 0.0011, 0.0095, 0.3963, 0.0127, 0.0754, 0.0195, 0.0056]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=9.0, features=DenseVector([43.0, 41.0, 43.0]), label=9.0, probability=DenseVector([0.0307, 0.0388, 0.1371, 0.1234, 0.0376, 0.0488, 0.0635, 0.0011, 0.0095, 0.3963, 0.0127, 0.0754, 0.0195, 0.0056]))
Row(prediction=2.0, features=DenseVector([43.0, 41.0, 47.0]), label=2.0, probability=DenseVector([0.0211, 0.0373, 0.2745, 0.2054, 0.0218, 0.1405, 0.0212, 0.0089, 0.0173, 0.1631, 0.0068, 0.0606, 0.0121, 0.0093]))
Row(prediction=2.0, features=DenseVector([43.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([43.0, 41.0, 48.0]), label=2.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([43.0, 41.0, 50.0]), label=9.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([43.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=9.0, features=DenseVector([43.0, 42.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=9.0, features=DenseVector([43.0, 42.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=2.0, features=DenseVector([43.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0211, 0.0373, 0.2745, 0.2054, 0.0218, 0.1405, 0.0212, 0.0089, 0.0173, 0.1631, 0.0068, 0.0606, 0.0121, 0.0093]))
Row(prediction=2.0, features=DenseVector([43.0, 42.0, 53.0]), label=9.0, probability=DenseVector([0.0249, 0.062, 0.2741, 0.2143, 0.0348, 0.0895, 0.007, 0.0158, 0.0329, 0.1568, 0.0141, 0.0493, 0.0205, 0.004]))
Row(prediction=2.0, features=DenseVector([43.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 32.0]), label=9.0, probability=DenseVector([0.043, 0.1144, 0.0123, 0.0133, 0.0207, 0.0008, 0.2135, 0.0012, 0.0052, 0.5174, 0.0097, 0.0309, 0.0173, 0.0004]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 41.0]), label=9.0, probability=DenseVector([0.0482, 0.0719, 0.0508, 0.0448, 0.0424, 0.0078, 0.1496, 0.0013, 0.0092, 0.4776, 0.0198, 0.0569, 0.0179, 0.0018]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=9.0, features=DenseVector([43.0, 45.0, 39.0]), label=9.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 45.0, 40.0]), label=9.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([43.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0211, 0.0301, 0.177, 0.1673, 0.0284, 0.0573, 0.0712, 0.001, 0.0089, 0.3272, 0.0063, 0.0838, 0.016, 0.0044]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=2.0, features=DenseVector([43.0, 47.0, 49.0]), label=9.0, probability=DenseVector([0.009, 0.042, 0.2462, 0.2303, 0.0212, 0.0925, 0.0417, 0.0069, 0.0167, 0.2184, 0.0057, 0.0535, 0.0141, 0.0018]))
Row(prediction=2.0, features=DenseVector([43.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.009, 0.042, 0.2462, 0.2303, 0.0212, 0.0925, 0.0417, 0.0069, 0.0167, 0.2184, 0.0057, 0.0535, 0.0141, 0.0018]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 46.0]), label=9.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 63.0]), label=12.0, probability=DenseVector([0.0212, 0.0703, 0.1747, 0.162, 0.0471, 0.0598, 0.0303, 0.0096, 0.0375, 0.2903, 0.0169, 0.0441, 0.0343, 0.0018]))
Row(prediction=9.0, features=DenseVector([43.0, 49.0, 57.0]), label=4.0, probability=DenseVector([0.0212, 0.0703, 0.1747, 0.162, 0.0471, 0.0598, 0.0303, 0.0096, 0.0375, 0.2903, 0.0169, 0.0441, 0.0343, 0.0018]))
Row(prediction=9.0, features=DenseVector([43.0, 53.0, 54.0]), label=12.0, probability=DenseVector([0.0153, 0.0516, 0.0873, 0.1396, 0.0483, 0.0438, 0.0678, 0.0064, 0.03, 0.4392, 0.0141, 0.0184, 0.035, 0.0032]))
Row(prediction=6.0, features=DenseVector([43.0, 54.0, 41.0]), label=9.0, probability=DenseVector([0.0269, 0.0358, 0.0461, 0.0733, 0.0304, 0.006, 0.4151, 0.0051, 0.0256, 0.2767, 0.0041, 0.0342, 0.0162, 0.0045]))
Row(prediction=9.0, features=DenseVector([43.0, 56.0, 45.0]), label=9.0, probability=DenseVector([0.0182, 0.0299, 0.1031, 0.1448, 0.0308, 0.0477, 0.132, 0.0007, 0.0112, 0.3877, 0.006, 0.0643, 0.0167, 0.0067]))
Row(prediction=9.0, features=DenseVector([44.0, 2.0, 22.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 10.0, 27.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 11.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 12.0, 31.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 13.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 14.0, 27.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 14.0, 36.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 14.0, 40.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 14.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 15.0, 41.0]), label=1.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 15.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 15.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 15.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 15.0, 49.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 16.0, 39.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 17.0, 47.0]), label=9.0, probability=DenseVector([0.0036, 0.0856, 0.4044, 0.0026, 0.0078, 0.0041, 0.0006, 0.0002, 0.0007, 0.3398, 0.0022, 0.1238, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 32.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 40.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 32.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 35.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 49.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 59.0]), label=9.0, probability=DenseVector([0.0047, 0.0805, 0.1657, 0.0037, 0.0153, 0.0066, 0.0026, 0.0005, 0.0037, 0.6434, 0.0035, 0.0358, 0.034, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 20.0, 29.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 20.0, 43.0]), label=9.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 21.0, 40.0]), label=1.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 21.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 21.0, 47.0]), label=9.0, probability=DenseVector([0.0036, 0.0856, 0.4044, 0.0026, 0.0078, 0.0041, 0.0006, 0.0002, 0.0007, 0.3398, 0.0022, 0.1238, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 22.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 22.0, 46.0]), label=9.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 22.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 23.0, 41.0]), label=9.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 23.0, 44.0]), label=9.0, probability=DenseVector([0.0084, 0.0731, 0.2639, 0.02, 0.0155, 0.002, 0.0211, 0.0002, 0.0026, 0.4374, 0.0017, 0.1293, 0.0247, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 24.0, 41.0]), label=9.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 50.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 25.0, 38.0]), label=1.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 25.0, 41.0]), label=9.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 25.0, 45.0]), label=9.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 25.0, 45.0]), label=1.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 47.0]), label=1.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 47.0]), label=1.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 47.0]), label=1.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 47.0]), label=1.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 26.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 26.0, 44.0]), label=9.0, probability=DenseVector([0.0084, 0.0731, 0.2639, 0.02, 0.0155, 0.002, 0.0211, 0.0002, 0.0026, 0.4374, 0.0017, 0.1293, 0.0247, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 47.0]), label=9.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 47.0]), label=1.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 47.0]), label=1.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 27.0, 36.0]), label=9.0, probability=DenseVector([0.0118, 0.0862, 0.01, 0.0044, 0.0114, 0.0014, 0.053, 0.0018, 0.0021, 0.714, 0.002, 0.0529, 0.049, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 28.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 29.0, 45.0]), label=9.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 29.0, 45.0]), label=1.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 47.0]), label=9.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 30.0, 37.0]), label=9.0, probability=DenseVector([0.0087, 0.0772, 0.0109, 0.0042, 0.0127, 0.0014, 0.0438, 0.0004, 0.0021, 0.5611, 0.0026, 0.2407, 0.0342, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 30.0, 37.0]), label=9.0, probability=DenseVector([0.0087, 0.0772, 0.0109, 0.0042, 0.0127, 0.0014, 0.0438, 0.0004, 0.0021, 0.5611, 0.0026, 0.2407, 0.0342, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 30.0, 42.0]), label=9.0, probability=DenseVector([0.012, 0.0476, 0.1177, 0.0213, 0.0211, 0.0005, 0.0345, 0.0003, 0.0038, 0.3677, 0.0022, 0.3504, 0.0205, 0.0002]))
Row(prediction=11.0, features=DenseVector([44.0, 30.0, 43.0]), label=9.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=11.0, features=DenseVector([44.0, 30.0, 46.0]), label=9.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 56.0]), label=9.0, probability=DenseVector([0.0313, 0.1284, 0.4005, 0.0221, 0.0408, 0.0231, 0.0039, 0.0068, 0.0144, 0.1808, 0.0197, 0.1114, 0.0167, 0.0002]))
Row(prediction=11.0, features=DenseVector([44.0, 31.0, 43.0]), label=9.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=11.0, features=DenseVector([44.0, 31.0, 43.0]), label=9.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 49.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 49.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 49.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 33.0, 33.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 33.0, 35.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 51.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 57.0]), label=1.0, probability=DenseVector([0.039, 0.1143, 0.3613, 0.0327, 0.0503, 0.0695, 0.0041, 0.0089, 0.0167, 0.1557, 0.0268, 0.0965, 0.0223, 0.0019]))
Row(prediction=9.0, features=DenseVector([44.0, 35.0, 34.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=11.0, features=DenseVector([44.0, 35.0, 46.0]), label=1.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 49.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 36.0, 43.0]), label=9.0, probability=DenseVector([0.0132, 0.0479, 0.1424, 0.028, 0.0238, 0.0009, 0.0388, 0.0004, 0.0039, 0.3539, 0.0031, 0.3238, 0.0194, 0.0004]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 49.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 37.0, 30.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 37.0, 48.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 37.0, 48.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=11.0, features=DenseVector([44.0, 38.0, 45.0]), label=9.0, probability=DenseVector([0.0106, 0.0366, 0.2128, 0.0568, 0.0224, 0.0114, 0.0289, 0.0003, 0.0043, 0.2172, 0.0028, 0.3805, 0.0141, 0.0013]))
Row(prediction=2.0, features=DenseVector([44.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([44.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([44.0, 38.0, 53.0]), label=9.0, probability=DenseVector([0.0304, 0.0883, 0.3169, 0.0671, 0.0365, 0.1718, 0.0052, 0.0088, 0.0163, 0.1509, 0.0273, 0.06, 0.0173, 0.0033]))
Row(prediction=11.0, features=DenseVector([44.0, 39.0, 46.0]), label=2.0, probability=DenseVector([0.0104, 0.0346, 0.2404, 0.0659, 0.0234, 0.0282, 0.0303, 0.0004, 0.0045, 0.2082, 0.0026, 0.3353, 0.0143, 0.0016]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=9.0, features=DenseVector([44.0, 40.0, 41.0]), label=9.0, probability=DenseVector([0.0196, 0.0541, 0.0417, 0.0347, 0.0291, 0.0069, 0.0485, 0.0006, 0.0053, 0.4766, 0.0076, 0.2508, 0.0232, 0.0014]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0141, 0.0577, 0.3523, 0.16, 0.0213, 0.1267, 0.011, 0.0104, 0.0199, 0.1286, 0.0086, 0.0698, 0.013, 0.0066]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 57.0]), label=1.0, probability=DenseVector([0.0199, 0.0803, 0.2536, 0.1373, 0.0404, 0.0588, 0.0154, 0.0088, 0.0361, 0.246, 0.0124, 0.0585, 0.0306, 0.002]))
Row(prediction=9.0, features=DenseVector([44.0, 41.0, 36.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 41.0, 44.0]), label=9.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=2.0, features=DenseVector([44.0, 41.0, 47.0]), label=9.0, probability=DenseVector([0.0121, 0.0387, 0.2885, 0.1219, 0.0213, 0.0748, 0.0232, 0.008, 0.0158, 0.1539, 0.0041, 0.2181, 0.0131, 0.0066]))
Row(prediction=2.0, features=DenseVector([44.0, 41.0, 47.0]), label=2.0, probability=DenseVector([0.0121, 0.0387, 0.2885, 0.1219, 0.0213, 0.0748, 0.0232, 0.008, 0.0158, 0.1539, 0.0041, 0.2181, 0.0131, 0.0066]))
Row(prediction=2.0, features=DenseVector([44.0, 41.0, 48.0]), label=2.0, probability=DenseVector([0.0131, 0.0528, 0.3221, 0.1785, 0.0227, 0.0881, 0.0173, 0.0113, 0.0226, 0.17, 0.006, 0.075, 0.014, 0.0066]))
Row(prediction=9.0, features=DenseVector([44.0, 42.0, 42.0]), label=4.0, probability=DenseVector([0.0219, 0.0418, 0.1356, 0.0639, 0.0355, 0.0113, 0.062, 0.0007, 0.0075, 0.392, 0.0096, 0.1932, 0.022, 0.0028]))
Row(prediction=9.0, features=DenseVector([44.0, 42.0, 44.0]), label=9.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([44.0, 42.0, 45.0]), label=9.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([44.0, 42.0, 45.0]), label=9.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([44.0, 42.0, 46.0]), label=3.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=11.0, features=DenseVector([44.0, 42.0, 46.0]), label=2.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=11.0, features=DenseVector([44.0, 42.0, 46.0]), label=2.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=9.0, features=DenseVector([44.0, 43.0, 38.0]), label=9.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 43.0, 41.0]), label=4.0, probability=DenseVector([0.0345, 0.0553, 0.0463, 0.0427, 0.0346, 0.0066, 0.1274, 0.0006, 0.0072, 0.4992, 0.0119, 0.1151, 0.0168, 0.0018]))
Row(prediction=9.0, features=DenseVector([44.0, 43.0, 42.0]), label=9.0, probability=DenseVector([0.0234, 0.0409, 0.1364, 0.0692, 0.0366, 0.0111, 0.0827, 0.0006, 0.0082, 0.371, 0.0096, 0.1874, 0.02, 0.0031]))
Row(prediction=9.0, features=DenseVector([44.0, 43.0, 44.0]), label=9.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=2.0, features=DenseVector([44.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0114, 0.0384, 0.2656, 0.1298, 0.0209, 0.0767, 0.0259, 0.0079, 0.0163, 0.1678, 0.0038, 0.216, 0.0132, 0.0065]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 41.0]), label=9.0, probability=DenseVector([0.0345, 0.0553, 0.0463, 0.0427, 0.0346, 0.0066, 0.1274, 0.0006, 0.0072, 0.4992, 0.0119, 0.1151, 0.0168, 0.0018]))
Row(prediction=11.0, features=DenseVector([44.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=11.0, features=DenseVector([44.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=2.0, features=DenseVector([44.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0115, 0.0535, 0.2763, 0.1848, 0.0237, 0.0877, 0.0235, 0.0111, 0.0236, 0.2051, 0.0054, 0.0718, 0.0156, 0.0065]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 55.0]), label=9.0, probability=DenseVector([0.0185, 0.0751, 0.1989, 0.1553, 0.0395, 0.0635, 0.0216, 0.0111, 0.0367, 0.2785, 0.0101, 0.059, 0.0297, 0.0026]))
Row(prediction=11.0, features=DenseVector([44.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=9.0, features=DenseVector([44.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.008, 0.0506, 0.244, 0.174, 0.0242, 0.0725, 0.0502, 0.0053, 0.0164, 0.2646, 0.0051, 0.0679, 0.0159, 0.0013]))
Row(prediction=9.0, features=DenseVector([44.0, 49.0, 44.0]), label=9.0, probability=DenseVector([0.0126, 0.0346, 0.1468, 0.0862, 0.0288, 0.0128, 0.0789, 0.0004, 0.0069, 0.3677, 0.0031, 0.2003, 0.0195, 0.0014]))
Row(prediction=2.0, features=DenseVector([44.0, 49.0, 47.0]), label=8.0, probability=DenseVector([0.0078, 0.0355, 0.2333, 0.119, 0.0214, 0.0615, 0.0526, 0.0021, 0.0091, 0.2273, 0.0034, 0.2121, 0.0135, 0.0013]))
Row(prediction=9.0, features=DenseVector([44.0, 51.0, 45.0]), label=9.0, probability=DenseVector([0.0088, 0.0328, 0.1186, 0.0886, 0.0325, 0.0126, 0.1235, 0.0003, 0.0102, 0.358, 0.0045, 0.1851, 0.0206, 0.004]))
Row(prediction=9.0, features=DenseVector([44.0, 51.0, 51.0]), label=8.0, probability=DenseVector([0.0066, 0.0414, 0.1129, 0.1593, 0.0336, 0.0613, 0.0951, 0.0046, 0.0206, 0.4055, 0.0074, 0.0253, 0.0236, 0.0028]))
Row(prediction=9.0, features=DenseVector([44.0, 53.0, 54.0]), label=9.0, probability=DenseVector([0.0103, 0.0557, 0.0652, 0.1177, 0.0479, 0.0348, 0.0718, 0.0053, 0.0303, 0.4926, 0.0107, 0.0166, 0.0382, 0.0029]))
Row(prediction=6.0, features=DenseVector([44.0, 55.0, 32.0]), label=9.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([44.0, 55.0, 47.0]), label=9.0, probability=DenseVector([0.006, 0.0318, 0.1354, 0.1247, 0.0298, 0.0586, 0.0846, 0.002, 0.0128, 0.3306, 0.0047, 0.1565, 0.0188, 0.0036]))
Row(prediction=9.0, features=DenseVector([44.0, 62.0, 49.0]), label=9.0, probability=DenseVector([0.0062, 0.0389, 0.1083, 0.1513, 0.0286, 0.0612, 0.1155, 0.005, 0.0167, 0.4167, 0.0058, 0.0213, 0.0237, 0.001]))
Row(prediction=9.0, features=DenseVector([45.0, 8.0, 37.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 9.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 10.0, 27.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 10.0, 36.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 11.0, 26.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 12.0, 25.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 12.0, 32.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 12.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 12.0, 46.0]), label=9.0, probability=DenseVector([0.0034, 0.0735, 0.3969, 0.0062, 0.0091, 0.0033, 0.0032, 0.0002, 0.0009, 0.3013, 0.0013, 0.18, 0.0207, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 15.0, 39.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 16.0, 33.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 35.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 17.0, 45.0]), label=9.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 41.0]), label=9.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 18.0, 45.0]), label=9.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 20.0, 43.0]), label=9.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 20.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 20.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 21.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 21.0, 42.0]), label=9.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 21.0, 46.0]), label=2.0, probability=DenseVector([0.0034, 0.0735, 0.3969, 0.0062, 0.0091, 0.0033, 0.0032, 0.0002, 0.0009, 0.3013, 0.0013, 0.18, 0.0207, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 22.0, 44.0]), label=9.0, probability=DenseVector([0.0084, 0.0731, 0.2639, 0.02, 0.0155, 0.002, 0.0211, 0.0002, 0.0026, 0.4374, 0.0017, 0.1293, 0.0247, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 22.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 22.0, 47.0]), label=9.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 23.0, 26.0]), label=1.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 23.0, 43.0]), label=9.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 23.0, 45.0]), label=9.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 23.0, 46.0]), label=9.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 23.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 23.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 23.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 23.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 24.0, 37.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 24.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 24.0, 43.0]), label=9.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 24.0, 44.0]), label=9.0, probability=DenseVector([0.0084, 0.0731, 0.2639, 0.02, 0.0155, 0.002, 0.0211, 0.0002, 0.0026, 0.4374, 0.0017, 0.1293, 0.0247, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 24.0, 45.0]), label=2.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 47.0]), label=1.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 47.0]), label=1.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 24.0, 57.0]), label=1.0, probability=DenseVector([0.03, 0.1424, 0.3756, 0.0145, 0.0405, 0.017, 0.0037, 0.0034, 0.0103, 0.21, 0.0197, 0.1105, 0.0224, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 25.0, 29.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 25.0, 41.0]), label=9.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 25.0, 45.0]), label=9.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 52.0]), label=9.0, probability=DenseVector([0.0204, 0.1251, 0.4986, 0.012, 0.0231, 0.0171, 0.0015, 0.004, 0.0075, 0.1257, 0.0132, 0.1366, 0.0153, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 26.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 47.0]), label=9.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 53.0]), label=9.0, probability=DenseVector([0.03, 0.1424, 0.3756, 0.0145, 0.0405, 0.017, 0.0037, 0.0034, 0.0103, 0.21, 0.0197, 0.1105, 0.0224, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 47.0]), label=9.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 29.0, 42.0]), label=1.0, probability=DenseVector([0.0104, 0.072, 0.1582, 0.0177, 0.0166, 0.0008, 0.0288, 0.0003, 0.0038, 0.5422, 0.0021, 0.1162, 0.0306, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=11.0, features=DenseVector([45.0, 30.0, 43.0]), label=9.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=11.0, features=DenseVector([45.0, 30.0, 43.0]), label=9.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 51.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 31.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 49.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 49.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 33.0, 25.0]), label=1.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 48.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=11.0, features=DenseVector([45.0, 34.0, 44.0]), label=9.0, probability=DenseVector([0.0111, 0.0439, 0.1625, 0.0322, 0.0208, 0.0028, 0.0296, 0.0003, 0.0034, 0.3029, 0.0023, 0.37, 0.0176, 0.0006]))
Row(prediction=11.0, features=DenseVector([45.0, 34.0, 45.0]), label=9.0, probability=DenseVector([0.0087, 0.044, 0.2152, 0.0293, 0.0186, 0.0053, 0.0176, 0.0002, 0.0024, 0.2194, 0.0024, 0.4211, 0.0149, 0.0009]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([45.0, 35.0, 43.0]), label=9.0, probability=DenseVector([0.012, 0.048, 0.1445, 0.0213, 0.0215, 0.0008, 0.0322, 0.0004, 0.0036, 0.3402, 0.0026, 0.3537, 0.019, 0.0002]))
Row(prediction=11.0, features=DenseVector([45.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.0087, 0.044, 0.2152, 0.0293, 0.0186, 0.0053, 0.0176, 0.0002, 0.0024, 0.2194, 0.0024, 0.4211, 0.0149, 0.0009]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 50.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([45.0, 36.0, 47.0]), label=2.0, probability=DenseVector([0.0114, 0.0633, 0.3657, 0.0182, 0.0176, 0.0153, 0.0089, 0.001, 0.0018, 0.112, 0.0065, 0.3688, 0.0091, 0.0005]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 37.0, 42.0]), label=9.0, probability=DenseVector([0.0133, 0.0475, 0.1157, 0.028, 0.0234, 0.0006, 0.0412, 0.0003, 0.0041, 0.3814, 0.0027, 0.3205, 0.0209, 0.0004]))
Row(prediction=2.0, features=DenseVector([45.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([45.0, 37.0, 60.0]), label=9.0, probability=DenseVector([0.039, 0.1143, 0.3613, 0.0327, 0.0503, 0.0695, 0.0041, 0.0089, 0.0167, 0.1557, 0.0268, 0.0965, 0.0223, 0.0019]))
Row(prediction=9.0, features=DenseVector([45.0, 38.0, 43.0]), label=9.0, probability=DenseVector([0.0139, 0.0406, 0.1422, 0.0488, 0.0253, 0.0069, 0.0434, 0.0004, 0.0055, 0.338, 0.003, 0.3131, 0.0183, 0.0007]))
Row(prediction=9.0, features=DenseVector([45.0, 38.0, 43.0]), label=9.0, probability=DenseVector([0.0139, 0.0406, 0.1422, 0.0488, 0.0253, 0.0069, 0.0434, 0.0004, 0.0055, 0.338, 0.003, 0.3131, 0.0183, 0.0007]))
Row(prediction=11.0, features=DenseVector([45.0, 38.0, 47.0]), label=2.0, probability=DenseVector([0.0107, 0.0446, 0.2966, 0.0532, 0.0179, 0.0748, 0.0105, 0.0011, 0.0049, 0.129, 0.0064, 0.3397, 0.0098, 0.0007]))
Row(prediction=2.0, features=DenseVector([45.0, 38.0, 49.0]), label=8.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=9.0, features=DenseVector([45.0, 39.0, 41.0]), label=9.0, probability=DenseVector([0.0164, 0.054, 0.04, 0.0288, 0.0255, 0.0064, 0.0451, 0.0004, 0.0042, 0.4697, 0.0043, 0.2819, 0.0227, 0.0005]))
Row(prediction=2.0, features=DenseVector([45.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([45.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([45.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([45.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=9.0, features=DenseVector([45.0, 40.0, 40.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([45.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([45.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([45.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([45.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=9.0, features=DenseVector([45.0, 41.0, 33.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 41.0, 36.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=11.0, features=DenseVector([45.0, 41.0, 46.0]), label=2.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=2.0, features=DenseVector([45.0, 41.0, 48.0]), label=2.0, probability=DenseVector([0.0131, 0.0528, 0.3221, 0.1785, 0.0227, 0.0881, 0.0173, 0.0113, 0.0226, 0.17, 0.006, 0.075, 0.014, 0.0066]))
Row(prediction=9.0, features=DenseVector([45.0, 41.0, 57.0]), label=9.0, probability=DenseVector([0.0197, 0.0767, 0.2389, 0.1402, 0.041, 0.0585, 0.0159, 0.0088, 0.0371, 0.2551, 0.0122, 0.0629, 0.0311, 0.002]))
Row(prediction=9.0, features=DenseVector([45.0, 42.0, 44.0]), label=4.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=9.0, features=DenseVector([45.0, 42.0, 63.0]), label=9.0, probability=DenseVector([0.0197, 0.0767, 0.2389, 0.1402, 0.041, 0.0585, 0.0159, 0.0088, 0.0371, 0.2551, 0.0122, 0.0629, 0.0311, 0.002]))
Row(prediction=2.0, features=DenseVector([45.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0114, 0.0384, 0.2656, 0.1298, 0.0209, 0.0767, 0.0259, 0.0079, 0.0163, 0.1678, 0.0038, 0.216, 0.0132, 0.0065]))
Row(prediction=9.0, features=DenseVector([45.0, 44.0, 44.0]), label=2.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([45.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=9.0, features=DenseVector([45.0, 45.0, 38.0]), label=9.0, probability=DenseVector([0.0323, 0.0635, 0.0137, 0.0142, 0.0221, 0.0002, 0.1443, 0.0005, 0.0053, 0.56, 0.0081, 0.1187, 0.0166, 0.0004]))
Row(prediction=9.0, features=DenseVector([45.0, 45.0, 39.0]), label=1.0, probability=DenseVector([0.0331, 0.0589, 0.0172, 0.0194, 0.0253, 0.0002, 0.1445, 0.0004, 0.0062, 0.5466, 0.0081, 0.1241, 0.0154, 0.0004]))
Row(prediction=9.0, features=DenseVector([45.0, 45.0, 41.0]), label=9.0, probability=DenseVector([0.0341, 0.0542, 0.0438, 0.0488, 0.0341, 0.0066, 0.1361, 0.0006, 0.0069, 0.4891, 0.0122, 0.1156, 0.0162, 0.0018]))
Row(prediction=9.0, features=DenseVector([45.0, 47.0, 41.0]), label=9.0, probability=DenseVector([0.0324, 0.0509, 0.0422, 0.0538, 0.0294, 0.006, 0.2203, 0.0027, 0.0142, 0.4358, 0.0069, 0.0866, 0.0177, 0.001]))
Row(prediction=9.0, features=DenseVector([45.0, 47.0, 43.0]), label=4.0, probability=DenseVector([0.013, 0.0383, 0.1263, 0.0838, 0.0291, 0.0107, 0.0976, 0.0003, 0.0071, 0.3881, 0.0033, 0.1822, 0.0191, 0.001]))
Row(prediction=2.0, features=DenseVector([45.0, 47.0, 47.0]), label=9.0, probability=DenseVector([0.0078, 0.0355, 0.2333, 0.119, 0.0214, 0.0615, 0.0526, 0.0021, 0.0091, 0.2273, 0.0034, 0.2121, 0.0135, 0.0013]))
Row(prediction=9.0, features=DenseVector([45.0, 47.0, 48.0]), label=9.0, probability=DenseVector([0.0091, 0.0485, 0.235, 0.1736, 0.0245, 0.0729, 0.0498, 0.0055, 0.0176, 0.2731, 0.0053, 0.0674, 0.0163, 0.0013]))
Row(prediction=9.0, features=DenseVector([45.0, 48.0, 41.0]), label=9.0, probability=DenseVector([0.0325, 0.0449, 0.0442, 0.0566, 0.028, 0.0059, 0.3257, 0.0046, 0.0201, 0.3632, 0.0047, 0.0504, 0.0183, 0.0008]))
Row(prediction=6.0, features=DenseVector([45.0, 49.0, 40.0]), label=4.0, probability=DenseVector([0.0381, 0.0468, 0.0254, 0.031, 0.0238, 0.0, 0.3976, 0.0063, 0.0261, 0.3442, 0.0039, 0.0404, 0.0162, 0.0003]))
Row(prediction=9.0, features=DenseVector([45.0, 51.0, 43.0]), label=9.0, probability=DenseVector([0.0085, 0.0345, 0.1084, 0.0841, 0.0326, 0.0084, 0.1354, 0.0003, 0.01, 0.3824, 0.0045, 0.1663, 0.0212, 0.0033]))
Row(prediction=9.0, features=DenseVector([45.0, 52.0, 48.0]), label=9.0, probability=DenseVector([0.0066, 0.0414, 0.1129, 0.1593, 0.0336, 0.0613, 0.0951, 0.0046, 0.0206, 0.4055, 0.0074, 0.0253, 0.0236, 0.0028]))
Row(prediction=9.0, features=DenseVector([45.0, 53.0, 47.0]), label=9.0, probability=DenseVector([0.006, 0.0318, 0.1354, 0.1247, 0.0298, 0.0586, 0.0846, 0.002, 0.0128, 0.3306, 0.0047, 0.1565, 0.0188, 0.0036]))
Row(prediction=9.0, features=DenseVector([45.0, 63.0, 56.0]), label=9.0, probability=DenseVector([0.0098, 0.0516, 0.0597, 0.1059, 0.0427, 0.0346, 0.1, 0.0056, 0.026, 0.5012, 0.0096, 0.0137, 0.039, 0.0006]))
Row(prediction=9.0, features=DenseVector([46.0, 0.0, 24.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 5.0, 25.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 5.0, 44.0]), label=12.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 7.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 7.0, 39.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 8.0, 30.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 8.0, 34.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 8.0, 41.0]), label=9.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 9.0, 22.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 9.0, 28.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 11.0, 36.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 14.0, 39.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 14.0, 41.0]), label=9.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 16.0, 36.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 16.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 40.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 33.0]), label=1.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 37.0]), label=1.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 18.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 18.0, 47.0]), label=9.0, probability=DenseVector([0.0036, 0.0856, 0.4044, 0.0026, 0.0078, 0.0041, 0.0006, 0.0002, 0.0007, 0.3398, 0.0022, 0.1238, 0.0246, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 19.0, 45.0]), label=9.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 20.0, 45.0]), label=9.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 21.0, 45.0]), label=9.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 21.0, 47.0]), label=9.0, probability=DenseVector([0.0036, 0.0856, 0.4044, 0.0026, 0.0078, 0.0041, 0.0006, 0.0002, 0.0007, 0.3398, 0.0022, 0.1238, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 21.0, 55.0]), label=9.0, probability=DenseVector([0.0047, 0.0805, 0.1657, 0.0037, 0.0153, 0.0066, 0.0026, 0.0005, 0.0037, 0.6434, 0.0035, 0.0358, 0.034, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 22.0, 36.0]), label=1.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 22.0, 43.0]), label=1.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 22.0, 46.0]), label=9.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 23.0, 36.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 23.0, 37.0]), label=1.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 23.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 24.0, 35.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 24.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 24.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 24.0, 47.0]), label=1.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 25.0, 32.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 25.0, 46.0]), label=1.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 25.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 25.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 25.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 25.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 25.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 25.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 25.0, 52.0]), label=1.0, probability=DenseVector([0.0204, 0.1251, 0.4986, 0.012, 0.0231, 0.0171, 0.0015, 0.004, 0.0075, 0.1257, 0.0132, 0.1366, 0.0153, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 25.0, 54.0]), label=1.0, probability=DenseVector([0.03, 0.1424, 0.3756, 0.0145, 0.0405, 0.017, 0.0037, 0.0034, 0.0103, 0.21, 0.0197, 0.1105, 0.0224, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 26.0, 41.0]), label=9.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 26.0, 54.0]), label=1.0, probability=DenseVector([0.03, 0.1424, 0.3756, 0.0145, 0.0405, 0.017, 0.0037, 0.0034, 0.0103, 0.21, 0.0197, 0.1105, 0.0224, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 27.0, 39.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 27.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 27.0, 43.0]), label=9.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 27.0, 45.0]), label=9.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=1.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 28.0, 44.0]), label=9.0, probability=DenseVector([0.0084, 0.0731, 0.2639, 0.02, 0.0155, 0.002, 0.0211, 0.0002, 0.0026, 0.4374, 0.0017, 0.1293, 0.0247, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 46.0]), label=1.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 47.0]), label=1.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 30.0, 38.0]), label=9.0, probability=DenseVector([0.0087, 0.0772, 0.0109, 0.0042, 0.0127, 0.0014, 0.0438, 0.0004, 0.0021, 0.5611, 0.0026, 0.2407, 0.0342, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 30.0, 46.0]), label=9.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([46.0, 30.0, 46.0]), label=1.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 31.0, 40.0]), label=1.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 45.0]), label=1.0, probability=DenseVector([0.0077, 0.0446, 0.2078, 0.0208, 0.0176, 0.0034, 0.0159, 0.0002, 0.0023, 0.2127, 0.0019, 0.4498, 0.015, 0.0005]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 46.0]), label=1.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 32.0, 41.0]), label=9.0, probability=DenseVector([0.0144, 0.0544, 0.0383, 0.0144, 0.0215, 0.0006, 0.034, 0.0004, 0.0036, 0.4469, 0.0035, 0.3455, 0.0221, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 32.0, 41.0]), label=9.0, probability=DenseVector([0.0144, 0.0544, 0.0383, 0.0144, 0.0215, 0.0006, 0.034, 0.0004, 0.0036, 0.4469, 0.0035, 0.3455, 0.0221, 0.0002]))
Row(prediction=11.0, features=DenseVector([46.0, 32.0, 46.0]), label=9.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 33.0, 36.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 47.0]), label=9.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 49.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 34.0, 29.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 35.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 35.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([46.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 36.0, 44.0]), label=9.0, probability=DenseVector([0.0123, 0.0438, 0.1604, 0.0389, 0.0231, 0.0029, 0.0363, 0.0003, 0.0037, 0.3166, 0.0028, 0.3401, 0.018, 0.0008]))
Row(prediction=11.0, features=DenseVector([46.0, 36.0, 44.0]), label=9.0, probability=DenseVector([0.0123, 0.0438, 0.1604, 0.0389, 0.0231, 0.0029, 0.0363, 0.0003, 0.0037, 0.3166, 0.0028, 0.3401, 0.018, 0.0008]))
Row(prediction=2.0, features=DenseVector([46.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([46.0, 37.0, 46.0]), label=2.0, probability=DenseVector([0.0086, 0.0428, 0.2322, 0.0357, 0.0181, 0.0169, 0.0145, 0.0003, 0.0025, 0.1874, 0.0024, 0.4238, 0.0137, 0.0012]))
Row(prediction=11.0, features=DenseVector([46.0, 37.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0633, 0.3657, 0.0182, 0.0176, 0.0153, 0.0089, 0.001, 0.0018, 0.112, 0.0065, 0.3688, 0.0091, 0.0005]))
Row(prediction=11.0, features=DenseVector([46.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.0114, 0.0633, 0.3657, 0.0182, 0.0176, 0.0153, 0.0089, 0.001, 0.0018, 0.112, 0.0065, 0.3688, 0.0091, 0.0005]))
Row(prediction=2.0, features=DenseVector([46.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=9.0, features=DenseVector([46.0, 38.0, 41.0]), label=9.0, probability=DenseVector([0.0156, 0.0543, 0.0362, 0.0211, 0.0239, 0.0008, 0.0407, 0.0004, 0.0039, 0.4607, 0.004, 0.3155, 0.0225, 0.0003]))
Row(prediction=11.0, features=DenseVector([46.0, 38.0, 47.0]), label=2.0, probability=DenseVector([0.0107, 0.0446, 0.2966, 0.0532, 0.0179, 0.0748, 0.0105, 0.0011, 0.0049, 0.129, 0.0064, 0.3397, 0.0098, 0.0007]))
Row(prediction=2.0, features=DenseVector([46.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=11.0, features=DenseVector([46.0, 39.0, 45.0]), label=9.0, probability=DenseVector([0.0115, 0.0361, 0.2222, 0.0661, 0.0262, 0.017, 0.0395, 0.0003, 0.0048, 0.2377, 0.0032, 0.3184, 0.0154, 0.0015]))
Row(prediction=11.0, features=DenseVector([46.0, 39.0, 46.0]), label=2.0, probability=DenseVector([0.0104, 0.0346, 0.2404, 0.0659, 0.0234, 0.0282, 0.0303, 0.0004, 0.0045, 0.2082, 0.0026, 0.3353, 0.0143, 0.0016]))
Row(prediction=2.0, features=DenseVector([46.0, 39.0, 52.0]), label=9.0, probability=DenseVector([0.0303, 0.082, 0.3625, 0.0676, 0.0313, 0.1726, 0.0042, 0.0089, 0.0138, 0.1147, 0.0262, 0.069, 0.0134, 0.0033]))
Row(prediction=9.0, features=DenseVector([46.0, 40.0, 40.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 40.0, 45.0]), label=1.0, probability=DenseVector([0.0184, 0.0346, 0.2233, 0.0785, 0.0331, 0.0182, 0.0458, 0.0005, 0.0067, 0.2495, 0.0094, 0.2618, 0.0166, 0.0035]))
Row(prediction=11.0, features=DenseVector([46.0, 40.0, 46.0]), label=9.0, probability=DenseVector([0.0126, 0.036, 0.2499, 0.0938, 0.0233, 0.0417, 0.0309, 0.0061, 0.0128, 0.1952, 0.003, 0.2722, 0.0153, 0.0069]))
Row(prediction=9.0, features=DenseVector([46.0, 41.0, 42.0]), label=9.0, probability=DenseVector([0.0219, 0.0418, 0.1356, 0.0639, 0.0355, 0.0113, 0.062, 0.0007, 0.0075, 0.392, 0.0096, 0.1932, 0.022, 0.0028]))
Row(prediction=2.0, features=DenseVector([46.0, 41.0, 47.0]), label=2.0, probability=DenseVector([0.0121, 0.0387, 0.2885, 0.1219, 0.0213, 0.0748, 0.0232, 0.008, 0.0158, 0.1539, 0.0041, 0.2181, 0.0131, 0.0066]))
Row(prediction=2.0, features=DenseVector([46.0, 41.0, 48.0]), label=4.0, probability=DenseVector([0.0131, 0.0528, 0.3221, 0.1785, 0.0227, 0.0881, 0.0173, 0.0113, 0.0226, 0.17, 0.006, 0.075, 0.014, 0.0066]))
Row(prediction=9.0, features=DenseVector([46.0, 43.0, 29.0]), label=1.0, probability=DenseVector([0.0111, 0.321, 0.0068, 0.0055, 0.0059, 0.0001, 0.1251, 0.0008, 0.0014, 0.4672, 0.0002, 0.0276, 0.0272, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 44.0, 44.0]), label=9.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([46.0, 44.0, 45.0]), label=9.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=2.0, features=DenseVector([46.0, 44.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0384, 0.2656, 0.1298, 0.0209, 0.0767, 0.0259, 0.0079, 0.0163, 0.1678, 0.0038, 0.216, 0.0132, 0.0065]))
Row(prediction=9.0, features=DenseVector([46.0, 45.0, 44.0]), label=4.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=2.0, features=DenseVector([46.0, 45.0, 47.0]), label=9.0, probability=DenseVector([0.0114, 0.0384, 0.2656, 0.1298, 0.0209, 0.0767, 0.0259, 0.0079, 0.0163, 0.1678, 0.0038, 0.216, 0.0132, 0.0065]))
Row(prediction=9.0, features=DenseVector([46.0, 45.0, 54.0]), label=1.0, probability=DenseVector([0.0181, 0.0726, 0.2062, 0.1634, 0.0381, 0.0679, 0.0199, 0.0134, 0.0337, 0.2677, 0.0097, 0.0581, 0.0278, 0.0034]))
Row(prediction=9.0, features=DenseVector([46.0, 46.0, 56.0]), label=9.0, probability=DenseVector([0.0147, 0.0758, 0.1731, 0.1419, 0.0449, 0.0551, 0.0292, 0.0084, 0.0355, 0.3167, 0.0119, 0.0547, 0.036, 0.0019]))
Row(prediction=9.0, features=DenseVector([46.0, 53.0, 56.0]), label=9.0, probability=DenseVector([0.0103, 0.0557, 0.0652, 0.1177, 0.0479, 0.0348, 0.0718, 0.0053, 0.0303, 0.4926, 0.0107, 0.0166, 0.0382, 0.0029]))
Row(prediction=9.0, features=DenseVector([47.0, 5.0, 36.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 6.0, 32.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 7.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 12.0, 32.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 13.0, 31.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 13.0, 53.0]), label=9.0, probability=DenseVector([0.0047, 0.0805, 0.1657, 0.0037, 0.0153, 0.0066, 0.0026, 0.0005, 0.0037, 0.6434, 0.0035, 0.0358, 0.034, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 15.0, 38.0]), label=12.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 16.0, 36.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 16.0, 41.0]), label=9.0, probability=DenseVector([0.0078, 0.0714, 0.0705, 0.0078, 0.0126, 0.0012, 0.0222, 0.0003, 0.0026, 0.5085, 0.002, 0.2624, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 16.0, 42.0]), label=1.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 17.0, 39.0]), label=9.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 19.0, 39.0]), label=1.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 20.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 20.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=2.0, features=DenseVector([47.0, 20.0, 45.0]), label=9.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 21.0, 51.0]), label=1.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 22.0, 38.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 22.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 22.0, 43.0]), label=9.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 23.0, 42.0]), label=1.0, probability=DenseVector([0.0104, 0.072, 0.1582, 0.0177, 0.0166, 0.0008, 0.0288, 0.0003, 0.0038, 0.5422, 0.0021, 0.1162, 0.0306, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 25.0, 37.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 25.0, 41.0]), label=9.0, probability=DenseVector([0.01, 0.0708, 0.0566, 0.0132, 0.0162, 0.0012, 0.0292, 0.0003, 0.0037, 0.5353, 0.0021, 0.2305, 0.0308, 0.0002]))
Row(prediction=2.0, features=DenseVector([47.0, 25.0, 47.0]), label=9.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 25.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 26.0, 40.0]), label=9.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 26.0, 48.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 26.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 28.0, 34.0]), label=9.0, probability=DenseVector([0.0118, 0.0862, 0.01, 0.0044, 0.0114, 0.0014, 0.053, 0.0018, 0.0021, 0.714, 0.002, 0.0529, 0.049, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 29.0, 38.0]), label=9.0, probability=DenseVector([0.0079, 0.0778, 0.0109, 0.0044, 0.0112, 0.0014, 0.0409, 0.0007, 0.0021, 0.5701, 0.0016, 0.2364, 0.0345, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 29.0, 38.0]), label=9.0, probability=DenseVector([0.0079, 0.0778, 0.0109, 0.0044, 0.0112, 0.0014, 0.0409, 0.0007, 0.0021, 0.5701, 0.0016, 0.2364, 0.0345, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 46.0]), label=1.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 50.0]), label=4.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.03, 0.1424, 0.3756, 0.0145, 0.0405, 0.017, 0.0037, 0.0034, 0.0103, 0.21, 0.0197, 0.1105, 0.0224, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 30.0, 36.0]), label=9.0, probability=DenseVector([0.0126, 0.0856, 0.01, 0.0042, 0.0128, 0.0014, 0.0559, 0.0015, 0.0021, 0.705, 0.0029, 0.0572, 0.0487, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 44.0]), label=9.0, probability=DenseVector([0.0101, 0.0445, 0.1551, 0.0236, 0.0198, 0.0008, 0.0279, 0.0003, 0.0033, 0.2962, 0.0018, 0.3987, 0.0177, 0.0002]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 46.0]), label=9.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 49.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 33.0, 35.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 33.0, 41.0]), label=4.0, probability=DenseVector([0.0144, 0.0544, 0.0383, 0.0144, 0.0215, 0.0006, 0.034, 0.0004, 0.0036, 0.4469, 0.0035, 0.3455, 0.0221, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 33.0, 41.0]), label=9.0, probability=DenseVector([0.0144, 0.0544, 0.0383, 0.0144, 0.0215, 0.0006, 0.034, 0.0004, 0.0036, 0.4469, 0.0035, 0.3455, 0.0221, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 33.0, 42.0]), label=9.0, probability=DenseVector([0.012, 0.0476, 0.1177, 0.0213, 0.0211, 0.0005, 0.0345, 0.0003, 0.0038, 0.3677, 0.0022, 0.3504, 0.0205, 0.0002]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.0293, 0.1013, 0.4695, 0.0281, 0.03, 0.0878, 0.0017, 0.0091, 0.0101, 0.0814, 0.0211, 0.1166, 0.0112, 0.0028]))
Row(prediction=9.0, features=DenseVector([47.0, 34.0, 39.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 44.0]), label=9.0, probability=DenseVector([0.0111, 0.0439, 0.1625, 0.0322, 0.0208, 0.0028, 0.0296, 0.0003, 0.0034, 0.3029, 0.0023, 0.37, 0.0176, 0.0006]))
Row(prediction=2.0, features=DenseVector([47.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 35.0, 33.0]), label=9.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 46.0]), label=9.0, probability=DenseVector([0.0078, 0.0439, 0.2271, 0.0257, 0.0174, 0.0056, 0.0136, 0.0002, 0.0022, 0.1867, 0.0022, 0.4533, 0.0136, 0.0007]))
Row(prediction=11.0, features=DenseVector([47.0, 35.0, 47.0]), label=9.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 37.0, 40.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=9.0, features=DenseVector([47.0, 38.0, 37.0]), label=9.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 38.0, 38.0]), label=9.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([47.0, 38.0, 60.0]), label=9.0, probability=DenseVector([0.0316, 0.09, 0.307, 0.0696, 0.041, 0.1473, 0.0057, 0.0082, 0.0198, 0.1671, 0.0262, 0.0631, 0.0213, 0.002]))
Row(prediction=11.0, features=DenseVector([47.0, 39.0, 46.0]), label=2.0, probability=DenseVector([0.0104, 0.0346, 0.2404, 0.0659, 0.0234, 0.0282, 0.0303, 0.0004, 0.0045, 0.2082, 0.0026, 0.3353, 0.0143, 0.0016]))
Row(prediction=2.0, features=DenseVector([47.0, 39.0, 48.0]), label=9.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([47.0, 39.0, 54.0]), label=9.0, probability=DenseVector([0.0327, 0.0882, 0.3078, 0.0718, 0.0392, 0.1575, 0.0056, 0.009, 0.0179, 0.16, 0.026, 0.0621, 0.0199, 0.0025]))
Row(prediction=9.0, features=DenseVector([47.0, 40.0, 39.0]), label=9.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 40.0, 47.0]), label=2.0, probability=DenseVector([0.0123, 0.0422, 0.3033, 0.119, 0.0207, 0.0751, 0.0226, 0.008, 0.0148, 0.1447, 0.0044, 0.2138, 0.0126, 0.0066]))
Row(prediction=9.0, features=DenseVector([47.0, 41.0, 38.0]), label=9.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 42.0, 28.0]), label=9.0, probability=DenseVector([0.0163, 0.1181, 0.0093, 0.0045, 0.011, 0.0011, 0.0597, 0.0027, 0.002, 0.6834, 0.0025, 0.0512, 0.0381, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 42.0, 37.0]), label=1.0, probability=DenseVector([0.0183, 0.0595, 0.0094, 0.0064, 0.0185, 0.0004, 0.0539, 0.0005, 0.0025, 0.5074, 0.0057, 0.2964, 0.0209, 0.0001]))
Row(prediction=9.0, features=DenseVector([47.0, 42.0, 42.0]), label=9.0, probability=DenseVector([0.0219, 0.0418, 0.1356, 0.0639, 0.0355, 0.0113, 0.062, 0.0007, 0.0075, 0.392, 0.0096, 0.1932, 0.022, 0.0028]))
Row(prediction=9.0, features=DenseVector([47.0, 42.0, 42.0]), label=9.0, probability=DenseVector([0.0219, 0.0418, 0.1356, 0.0639, 0.0355, 0.0113, 0.062, 0.0007, 0.0075, 0.392, 0.0096, 0.1932, 0.022, 0.0028]))
Row(prediction=9.0, features=DenseVector([47.0, 42.0, 42.0]), label=9.0, probability=DenseVector([0.0219, 0.0418, 0.1356, 0.0639, 0.0355, 0.0113, 0.062, 0.0007, 0.0075, 0.392, 0.0096, 0.1932, 0.022, 0.0028]))
Row(prediction=9.0, features=DenseVector([47.0, 45.0, 44.0]), label=1.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=9.0, features=DenseVector([47.0, 45.0, 61.0]), label=9.0, probability=DenseVector([0.0182, 0.0774, 0.1931, 0.1465, 0.042, 0.0581, 0.0221, 0.0085, 0.038, 0.2902, 0.0115, 0.0597, 0.0327, 0.0019]))
Row(prediction=9.0, features=DenseVector([47.0, 58.0, 46.0]), label=9.0, probability=DenseVector([0.0074, 0.0273, 0.1348, 0.0825, 0.026, 0.0237, 0.1126, 0.0003, 0.0078, 0.3557, 0.0023, 0.1991, 0.0179, 0.0025]))
Row(prediction=9.0, features=DenseVector([48.0, 0.0, 56.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 9.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 9.0, 48.0]), label=9.0, probability=DenseVector([0.0011, 0.0863, 0.062, 0.002, 0.0092, 0.0021, 0.0038, 0.0001, 0.0007, 0.6728, 0.0008, 0.1314, 0.0275, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 13.0, 29.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 14.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 16.0, 40.0]), label=1.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 18.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 20.0, 34.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 20.0, 41.0]), label=1.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 22.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 24.0, 35.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 24.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 27.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 28.0, 42.0]), label=1.0, probability=DenseVector([0.001, 0.1183, 0.0538, 0.0031, 0.0093, 0.0003, 0.0016, 0.0, 0.0005, 0.5871, 0.0004, 0.1961, 0.0286, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 28.0, 46.0]), label=1.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 29.0, 44.0]), label=1.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 41.0]), label=9.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 32.0, 49.0]), label=1.0, probability=DenseVector([0.0036, 0.1219, 0.1523, 0.0049, 0.0366, 0.0024, 0.018, 0.0004, 0.0027, 0.4117, 0.0027, 0.207, 0.0358, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 41.0]), label=9.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0036, 0.1273, 0.1509, 0.0046, 0.0379, 0.0024, 0.0211, 0.0004, 0.0033, 0.4101, 0.0027, 0.198, 0.0376, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 39.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 48.0]), label=1.0, probability=DenseVector([0.004, 0.0722, 0.1535, 0.0025, 0.0171, 0.0024, 0.0128, 0.0004, 0.0017, 0.2447, 0.0028, 0.4742, 0.0116, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0036, 0.1276, 0.1458, 0.0048, 0.0384, 0.0024, 0.0259, 0.0004, 0.004, 0.4305, 0.0027, 0.1765, 0.0374, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 37.0, 31.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 37.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 39.0, 43.0]), label=4.0, probability=DenseVector([0.0026, 0.0335, 0.0601, 0.0109, 0.0222, 0.0057, 0.0294, 0.0002, 0.0013, 0.171, 0.0007, 0.6547, 0.0075, 0.0002]))
Row(prediction=9.0, features=DenseVector([48.0, 40.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 42.0, 39.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 42.0, 41.0]), label=9.0, probability=DenseVector([0.0096, 0.0288, 0.0267, 0.0157, 0.0319, 0.0062, 0.0563, 0.0004, 0.0024, 0.3265, 0.0055, 0.48, 0.0089, 0.0011]))
Row(prediction=11.0, features=DenseVector([48.0, 42.0, 43.0]), label=9.0, probability=DenseVector([0.0096, 0.0351, 0.0596, 0.0246, 0.0493, 0.0068, 0.0893, 0.0004, 0.0042, 0.3201, 0.0068, 0.3806, 0.0114, 0.0022]))
Row(prediction=9.0, features=DenseVector([48.0, 42.0, 48.0]), label=9.0, probability=DenseVector([0.0054, 0.0608, 0.0996, 0.0648, 0.037, 0.0247, 0.054, 0.0074, 0.016, 0.3369, 0.0015, 0.2695, 0.0168, 0.0056]))
Row(prediction=9.0, features=DenseVector([48.0, 44.0, 34.0]), label=1.0, probability=DenseVector([0.0268, 0.1126, 0.0023, 0.0041, 0.0134, 0.0006, 0.1754, 0.0023, 0.0018, 0.5783, 0.002, 0.0555, 0.0247, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 44.0, 39.0]), label=9.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 44.0, 47.0]), label=9.0, probability=DenseVector([0.0047, 0.0413, 0.0661, 0.0403, 0.0439, 0.0192, 0.1065, 0.0059, 0.0104, 0.329, 0.001, 0.315, 0.0112, 0.0055]))
Row(prediction=9.0, features=DenseVector([48.0, 45.0, 48.0]), label=9.0, probability=DenseVector([0.0047, 0.0635, 0.0741, 0.0635, 0.0411, 0.0224, 0.0824, 0.0072, 0.0165, 0.3959, 0.0011, 0.2035, 0.0184, 0.0056]))
Row(prediction=9.0, features=DenseVector([48.0, 46.0, 53.0]), label=9.0, probability=DenseVector([0.0106, 0.1024, 0.0657, 0.075, 0.0567, 0.0233, 0.06, 0.0103, 0.031, 0.4677, 0.0056, 0.044, 0.0458, 0.0019]))
Row(prediction=9.0, features=DenseVector([48.0, 47.0, 43.0]), label=9.0, probability=DenseVector([0.0023, 0.0367, 0.0506, 0.0295, 0.0458, 0.0066, 0.1268, 0.0002, 0.0032, 0.3753, 0.0008, 0.3108, 0.0109, 0.0003]))
Row(prediction=6.0, features=DenseVector([48.0, 48.0, 34.0]), label=9.0, probability=DenseVector([0.0401, 0.0781, 0.0083, 0.0144, 0.0152, 0.0001, 0.6193, 0.0088, 0.017, 0.1716, 0.0021, 0.0131, 0.0119, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 48.0, 38.0]), label=9.0, probability=DenseVector([0.0337, 0.0396, 0.0167, 0.0185, 0.0236, 0.0, 0.3813, 0.006, 0.0216, 0.282, 0.0032, 0.1606, 0.0131, 0.0001]))
Row(prediction=6.0, features=DenseVector([48.0, 51.0, 39.0]), label=9.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=9.0, features=DenseVector([48.0, 51.0, 43.0]), label=9.0, probability=DenseVector([0.0027, 0.0372, 0.0543, 0.0455, 0.0491, 0.0067, 0.1564, 0.0002, 0.0084, 0.4129, 0.0026, 0.2045, 0.0168, 0.0027]))
Row(prediction=6.0, features=DenseVector([48.0, 62.0, 39.0]), label=9.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=9.0, features=DenseVector([49.0, 9.0, 54.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 11.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 15.0, 31.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 18.0, 33.0]), label=1.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 18.0, 38.0]), label=9.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 20.0, 31.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 20.0, 48.0]), label=9.0, probability=DenseVector([0.0011, 0.0863, 0.062, 0.002, 0.0092, 0.0021, 0.0038, 0.0001, 0.0007, 0.6728, 0.0008, 0.1314, 0.0275, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 21.0, 38.0]), label=1.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 21.0, 52.0]), label=9.0, probability=DenseVector([0.0005, 0.0717, 0.0451, 0.002, 0.0128, 0.0031, 0.0059, 0.0007, 0.0029, 0.7787, 0.0003, 0.0466, 0.0297, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 23.0, 32.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 24.0, 36.0]), label=1.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 25.0, 32.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 27.0, 37.0]), label=9.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0081, 0.115, 0.1273, 0.0081, 0.0221, 0.0115, 0.0057, 0.0027, 0.0072, 0.5747, 0.0042, 0.0773, 0.036, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 29.0, 38.0]), label=9.0, probability=DenseVector([0.0029, 0.0652, 0.0042, 0.0017, 0.0102, 0.0009, 0.0241, 0.0003, 0.0011, 0.5372, 0.0011, 0.3157, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 29.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 43.0]), label=9.0, probability=DenseVector([0.0016, 0.0459, 0.0462, 0.0014, 0.0139, 0.0, 0.0091, 0.0002, 0.0004, 0.1523, 0.0003, 0.722, 0.0068, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 30.0, 47.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 34.0, 48.0]), label=1.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 47.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 37.0, 33.0]), label=2.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 38.0, 35.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 38.0, 54.0]), label=1.0, probability=DenseVector([0.0228, 0.1189, 0.122, 0.0439, 0.0511, 0.088, 0.0205, 0.0081, 0.0153, 0.3305, 0.0172, 0.1198, 0.0394, 0.0025]))
Row(prediction=11.0, features=DenseVector([49.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.006, 0.0569, 0.1241, 0.0679, 0.0292, 0.0334, 0.0357, 0.0074, 0.0148, 0.2595, 0.0017, 0.3434, 0.0143, 0.0057]))
Row(prediction=11.0, features=DenseVector([49.0, 41.0, 38.0]), label=1.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.0096, 0.0334, 0.0584, 0.0246, 0.0496, 0.0068, 0.0906, 0.0004, 0.0042, 0.3248, 0.0069, 0.3771, 0.0114, 0.0022]))
Row(prediction=9.0, features=DenseVector([49.0, 42.0, 36.0]), label=9.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 42.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 44.0, 54.0]), label=9.0, probability=DenseVector([0.0118, 0.0988, 0.0715, 0.081, 0.0565, 0.0296, 0.0575, 0.0109, 0.027, 0.4615, 0.0054, 0.0417, 0.044, 0.0028]))
Row(prediction=9.0, features=DenseVector([49.0, 52.0, 56.0]), label=9.0, probability=DenseVector([0.0087, 0.0706, 0.0322, 0.0428, 0.0627, 0.0025, 0.0941, 0.0033, 0.0259, 0.5691, 0.0101, 0.0311, 0.0451, 0.0018]))
Row(prediction=9.0, features=DenseVector([49.0, 54.0, 46.0]), label=9.0, probability=DenseVector([0.0026, 0.0402, 0.0547, 0.0492, 0.0487, 0.0069, 0.1477, 0.0002, 0.0088, 0.4172, 0.0021, 0.2029, 0.0157, 0.0031]))
Row(prediction=9.0, features=DenseVector([49.0, 61.0, 45.0]), label=9.0, probability=DenseVector([0.0018, 0.0281, 0.0428, 0.0306, 0.0284, 0.0066, 0.2892, 0.0002, 0.0041, 0.362, 0.0008, 0.1847, 0.0204, 0.0003]))
Row(prediction=9.0, features=DenseVector([50.0, 4.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 9.0, 35.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 15.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0613, 0.0044, 0.0038, 0.0082, 0.0105, 0.0074, 0.0, 0.0009, 0.4597, 0.0011, 0.4111, 0.0295, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 18.0, 54.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 21.0, 30.0]), label=12.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 22.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 26.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 27.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 27.0, 49.0]), label=9.0, probability=DenseVector([0.0036, 0.0966, 0.1376, 0.0024, 0.017, 0.0024, 0.0058, 0.0004, 0.001, 0.6002, 0.0028, 0.0994, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 29.0, 34.0]), label=9.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 29.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 30.0, 43.0]), label=9.0, probability=DenseVector([0.0016, 0.0459, 0.0462, 0.0014, 0.0139, 0.0, 0.0091, 0.0002, 0.0004, 0.1523, 0.0003, 0.722, 0.0068, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 30.0, 43.0]), label=9.0, probability=DenseVector([0.0016, 0.0459, 0.0462, 0.0014, 0.0139, 0.0, 0.0091, 0.0002, 0.0004, 0.1523, 0.0003, 0.722, 0.0068, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 30.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 30.0, 50.0]), label=9.0, probability=DenseVector([0.0036, 0.1273, 0.1509, 0.0046, 0.0379, 0.0024, 0.0211, 0.0004, 0.0033, 0.4101, 0.0027, 0.198, 0.0376, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 31.0, 43.0]), label=9.0, probability=DenseVector([0.0016, 0.0459, 0.0462, 0.0014, 0.0139, 0.0, 0.0091, 0.0002, 0.0004, 0.1523, 0.0003, 0.722, 0.0068, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 31.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 31.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 31.0, 48.0]), label=9.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 32.0, 47.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 33.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 33.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 34.0, 42.0]), label=9.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 40.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 41.0, 32.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 41.0, 51.0]), label=9.0, probability=DenseVector([0.0051, 0.0955, 0.0935, 0.067, 0.0453, 0.0247, 0.0557, 0.0073, 0.0171, 0.4522, 0.0013, 0.0935, 0.036, 0.0056]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 42.0, 48.0]), label=4.0, probability=DenseVector([0.0054, 0.0608, 0.0996, 0.0648, 0.037, 0.0247, 0.054, 0.0074, 0.016, 0.3369, 0.0015, 0.2695, 0.0168, 0.0056]))
Row(prediction=9.0, features=DenseVector([50.0, 45.0, 36.0]), label=9.0, probability=DenseVector([0.0246, 0.1021, 0.003, 0.0039, 0.0144, 0.0003, 0.1636, 0.0017, 0.0017, 0.5442, 0.0019, 0.1149, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 49.0, 36.0]), label=9.0, probability=DenseVector([0.0387, 0.0484, 0.0129, 0.0178, 0.0163, 0.0, 0.5817, 0.0077, 0.0224, 0.1904, 0.0033, 0.0472, 0.0132, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 50.0, 37.0]), label=9.0, probability=DenseVector([0.0345, 0.0383, 0.0198, 0.0214, 0.0232, 0.0, 0.4229, 0.0068, 0.0266, 0.2612, 0.0036, 0.1287, 0.0129, 0.0001]))
Row(prediction=6.0, features=DenseVector([50.0, 50.0, 39.0]), label=9.0, probability=DenseVector([0.0345, 0.0383, 0.0198, 0.0214, 0.0232, 0.0, 0.4229, 0.0068, 0.0266, 0.2612, 0.0036, 0.1287, 0.0129, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 54.0, 56.0]), label=9.0, probability=DenseVector([0.0087, 0.0722, 0.033, 0.0466, 0.063, 0.0026, 0.0864, 0.0033, 0.0264, 0.5717, 0.0096, 0.03, 0.0443, 0.0023]))
Row(prediction=9.0, features=DenseVector([50.0, 56.0, 45.0]), label=9.0, probability=DenseVector([0.0029, 0.0357, 0.0539, 0.0487, 0.0453, 0.0067, 0.1608, 0.0002, 0.0077, 0.4183, 0.0011, 0.2022, 0.0139, 0.0027]))
Row(prediction=9.0, features=DenseVector([50.0, 58.0, 49.0]), label=9.0, probability=DenseVector([0.0038, 0.0655, 0.0358, 0.0453, 0.051, 0.003, 0.1044, 0.0015, 0.0168, 0.5814, 0.0038, 0.0554, 0.0319, 0.0003]))
Row(prediction=9.0, features=DenseVector([51.0, 13.0, 49.0]), label=1.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 16.0, 41.0]), label=1.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 18.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 18.0, 49.0]), label=1.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 24.0, 49.0]), label=1.0, probability=DenseVector([0.0036, 0.0955, 0.1366, 0.0024, 0.0158, 0.0024, 0.0058, 0.0004, 0.001, 0.6072, 0.0028, 0.0985, 0.0279, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 25.0, 38.0]), label=9.0, probability=DenseVector([0.0031, 0.0705, 0.0045, 0.0013, 0.0096, 0.0011, 0.0086, 0.0001, 0.0014, 0.5468, 0.0009, 0.3145, 0.0376, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 27.0, 35.0]), label=9.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 27.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 27.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1183, 0.0538, 0.0031, 0.0093, 0.0003, 0.0016, 0.0, 0.0005, 0.5871, 0.0004, 0.1961, 0.0286, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 29.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 29.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 30.0, 37.0]), label=9.0, probability=DenseVector([0.0028, 0.0476, 0.0096, 0.0009, 0.0149, 0.0009, 0.033, 0.0001, 0.0008, 0.3872, 0.0016, 0.4795, 0.0211, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 30.0, 44.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 30.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 30.0, 55.0]), label=9.0, probability=DenseVector([0.013, 0.137, 0.0874, 0.018, 0.0485, 0.0175, 0.0212, 0.0052, 0.0141, 0.4519, 0.0058, 0.1401, 0.0401, 0.0002]))
Row(prediction=11.0, features=DenseVector([51.0, 31.0, 46.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.013, 0.137, 0.0874, 0.018, 0.0485, 0.0175, 0.0212, 0.0052, 0.0141, 0.4519, 0.0058, 0.1401, 0.0401, 0.0002]))
Row(prediction=11.0, features=DenseVector([51.0, 32.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 34.0, 51.0]), label=4.0, probability=DenseVector([0.0036, 0.1273, 0.1509, 0.0046, 0.0379, 0.0024, 0.0211, 0.0004, 0.0033, 0.4101, 0.0027, 0.198, 0.0376, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 37.0, 43.0]), label=4.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 37.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 37.0, 45.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 42.0, 39.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 43.0, 32.0]), label=9.0, probability=DenseVector([0.0266, 0.111, 0.0025, 0.0042, 0.014, 0.0006, 0.1567, 0.0024, 0.0018, 0.5939, 0.002, 0.0569, 0.0274, 0.0001]))
Row(prediction=9.0, features=DenseVector([51.0, 43.0, 33.0]), label=9.0, probability=DenseVector([0.0266, 0.111, 0.0025, 0.0042, 0.014, 0.0006, 0.1567, 0.0024, 0.0018, 0.5939, 0.002, 0.0569, 0.0274, 0.0001]))
Row(prediction=9.0, features=DenseVector([51.0, 43.0, 48.0]), label=1.0, probability=DenseVector([0.0054, 0.0625, 0.0969, 0.0651, 0.0397, 0.0247, 0.0789, 0.0073, 0.016, 0.3748, 0.0014, 0.2047, 0.0169, 0.0056]))
Row(prediction=9.0, features=DenseVector([51.0, 47.0, 56.0]), label=9.0, probability=DenseVector([0.0109, 0.1004, 0.0465, 0.057, 0.065, 0.0194, 0.058, 0.0066, 0.0312, 0.4979, 0.0084, 0.0446, 0.0528, 0.0012]))
Row(prediction=6.0, features=DenseVector([51.0, 50.0, 38.0]), label=9.0, probability=DenseVector([0.0345, 0.0383, 0.0198, 0.0214, 0.0232, 0.0, 0.4229, 0.0068, 0.0266, 0.2612, 0.0036, 0.1287, 0.0129, 0.0001]))
Row(prediction=9.0, features=DenseVector([51.0, 50.0, 42.0]), label=9.0, probability=DenseVector([0.0024, 0.035, 0.0494, 0.0295, 0.0461, 0.0066, 0.1282, 0.0002, 0.0032, 0.38, 0.0008, 0.3073, 0.0109, 0.0003]))
Row(prediction=9.0, features=DenseVector([51.0, 51.0, 45.0]), label=9.0, probability=DenseVector([0.0026, 0.0386, 0.0538, 0.0454, 0.0485, 0.0067, 0.1554, 0.0002, 0.0083, 0.4146, 0.0027, 0.204, 0.0165, 0.0027]))
Row(prediction=6.0, features=DenseVector([51.0, 52.0, 40.0]), label=9.0, probability=DenseVector([0.031, 0.0384, 0.0322, 0.0398, 0.0244, 0.0001, 0.4317, 0.0063, 0.0416, 0.3059, 0.0039, 0.0275, 0.0163, 0.0008]))
Row(prediction=6.0, features=DenseVector([51.0, 54.0, 27.0]), label=12.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([52.0, 8.0, 28.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 9.0, 56.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 20.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 21.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 22.0, 46.0]), label=1.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 25.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 25.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 30.0, 35.0]), label=9.0, probability=DenseVector([0.0127, 0.0886, 0.0052, 0.0032, 0.0133, 0.0012, 0.0627, 0.0021, 0.0011, 0.6681, 0.0018, 0.0942, 0.0458, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 31.0, 37.0]), label=9.0, probability=DenseVector([0.0028, 0.0476, 0.0096, 0.0009, 0.0149, 0.0009, 0.033, 0.0001, 0.0008, 0.3872, 0.0016, 0.4795, 0.0211, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 31.0, 54.0]), label=12.0, probability=DenseVector([0.013, 0.137, 0.0874, 0.018, 0.0485, 0.0175, 0.0212, 0.0052, 0.0141, 0.4519, 0.0058, 0.1401, 0.0401, 0.0002]))
Row(prediction=9.0, features=DenseVector([52.0, 32.0, 61.0]), label=8.0, probability=DenseVector([0.013, 0.1318, 0.0868, 0.0176, 0.0689, 0.0175, 0.0168, 0.0052, 0.0135, 0.4435, 0.0058, 0.1393, 0.0399, 0.0002]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 41.0]), label=9.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 34.0, 42.0]), label=9.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 38.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 39.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 39.0, 48.0]), label=9.0, probability=DenseVector([0.0099, 0.0522, 0.1975, 0.0329, 0.0231, 0.0419, 0.0222, 0.0056, 0.0066, 0.2076, 0.0045, 0.3864, 0.0095, 0.0002]))
Row(prediction=9.0, features=DenseVector([52.0, 40.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 41.0, 53.0]), label=1.0, probability=DenseVector([0.0126, 0.0964, 0.0957, 0.0824, 0.0528, 0.0319, 0.0449, 0.0111, 0.0266, 0.4193, 0.0057, 0.0759, 0.042, 0.0028]))
Row(prediction=9.0, features=DenseVector([52.0, 43.0, 37.0]), label=9.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([52.0, 47.0, 37.0]), label=9.0, probability=DenseVector([0.0268, 0.0377, 0.0127, 0.0125, 0.022, 0.0, 0.2242, 0.003, 0.0135, 0.3432, 0.0039, 0.2895, 0.0108, 0.0002]))
Row(prediction=9.0, features=DenseVector([52.0, 48.0, 42.0]), label=9.0, probability=DenseVector([0.0024, 0.035, 0.0494, 0.0295, 0.0461, 0.0066, 0.1282, 0.0002, 0.0032, 0.38, 0.0008, 0.3073, 0.0109, 0.0003]))
Row(prediction=9.0, features=DenseVector([52.0, 55.0, 48.0]), label=9.0, probability=DenseVector([0.0035, 0.0621, 0.04, 0.0544, 0.0496, 0.0026, 0.1119, 0.001, 0.0159, 0.5385, 0.0044, 0.0879, 0.0258, 0.0024]))
Row(prediction=9.0, features=DenseVector([52.0, 59.0, 46.0]), label=9.0, probability=DenseVector([0.0018, 0.0281, 0.0428, 0.0306, 0.0284, 0.0066, 0.2892, 0.0002, 0.0041, 0.362, 0.0008, 0.1847, 0.0204, 0.0003]))
Row(prediction=9.0, features=DenseVector([53.0, 12.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 14.0, 51.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 17.0, 51.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 20.0, 53.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 21.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 22.0, 44.0]), label=1.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 22.0, 50.0]), label=9.0, probability=DenseVector([0.0036, 0.0955, 0.1366, 0.0024, 0.0158, 0.0024, 0.0058, 0.0004, 0.001, 0.6072, 0.0028, 0.0985, 0.0279, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 24.0, 39.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 26.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 27.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 28.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0036, 0.0966, 0.1376, 0.0024, 0.017, 0.0024, 0.0058, 0.0004, 0.001, 0.6002, 0.0028, 0.0994, 0.0308, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 38.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 32.0, 39.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 33.0, 32.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 35.0, 40.0]), label=4.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 36.0, 37.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 37.0, 56.0]), label=1.0, probability=DenseVector([0.018, 0.1269, 0.0447, 0.0282, 0.0552, 0.063, 0.0213, 0.007, 0.0163, 0.427, 0.0104, 0.1343, 0.0457, 0.0019]))
Row(prediction=9.0, features=DenseVector([53.0, 38.0, 49.0]), label=9.0, probability=DenseVector([0.0095, 0.1006, 0.1917, 0.0356, 0.0387, 0.0419, 0.0239, 0.0055, 0.0081, 0.3571, 0.0044, 0.1506, 0.0322, 0.0002]))
Row(prediction=9.0, features=DenseVector([53.0, 39.0, 33.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 44.0, 44.0]), label=9.0, probability=DenseVector([0.0094, 0.0384, 0.0576, 0.0247, 0.051, 0.0068, 0.1122, 0.0003, 0.004, 0.3538, 0.0068, 0.3214, 0.0113, 0.0022]))
Row(prediction=9.0, features=DenseVector([53.0, 45.0, 32.0]), label=9.0, probability=DenseVector([0.0268, 0.1126, 0.0023, 0.0041, 0.0134, 0.0006, 0.1754, 0.0023, 0.0018, 0.5783, 0.002, 0.0555, 0.0247, 0.0001]))
Row(prediction=9.0, features=DenseVector([54.0, 0.0, 48.0]), label=9.0, probability=DenseVector([0.0011, 0.0863, 0.062, 0.002, 0.0092, 0.0021, 0.0038, 0.0001, 0.0007, 0.6728, 0.0008, 0.1314, 0.0275, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 7.0, 20.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 9.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 10.0, 57.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 22.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 28.0, 51.0]), label=9.0, probability=DenseVector([0.0036, 0.0966, 0.1376, 0.0024, 0.017, 0.0024, 0.0058, 0.0004, 0.001, 0.6002, 0.0028, 0.0994, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 29.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1184, 0.0556, 0.0028, 0.0096, 0.0003, 0.002, 0.0, 0.0004, 0.5629, 0.0003, 0.2216, 0.0253, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 32.0, 51.0]), label=9.0, probability=DenseVector([0.0036, 0.1273, 0.1509, 0.0046, 0.0379, 0.0024, 0.0211, 0.0004, 0.0033, 0.4101, 0.0027, 0.198, 0.0376, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 36.0, 46.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 36.0, 49.0]), label=1.0, probability=DenseVector([0.0036, 0.1222, 0.1472, 0.005, 0.0371, 0.0024, 0.0228, 0.0004, 0.0034, 0.4321, 0.0027, 0.1854, 0.0356, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 40.0, 34.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 40.0, 39.0]), label=9.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 41.0, 42.0]), label=9.0, probability=DenseVector([0.0096, 0.0334, 0.0584, 0.0246, 0.0496, 0.0068, 0.0906, 0.0004, 0.0042, 0.3248, 0.0069, 0.3771, 0.0114, 0.0022]))
Row(prediction=9.0, features=DenseVector([54.0, 42.0, 34.0]), label=1.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 42.0, 60.0]), label=8.0, probability=DenseVector([0.0127, 0.1012, 0.0826, 0.0654, 0.0567, 0.0221, 0.0471, 0.0062, 0.0309, 0.4419, 0.0075, 0.0775, 0.0469, 0.0013]))
Row(prediction=9.0, features=DenseVector([54.0, 43.0, 38.0]), label=9.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([54.0, 44.0, 44.0]), label=9.0, probability=DenseVector([0.0094, 0.0384, 0.0576, 0.0247, 0.051, 0.0068, 0.1122, 0.0003, 0.004, 0.3538, 0.0068, 0.3214, 0.0113, 0.0022]))
Row(prediction=6.0, features=DenseVector([54.0, 48.0, 39.0]), label=9.0, probability=DenseVector([0.0337, 0.0396, 0.0167, 0.0185, 0.0236, 0.0, 0.3813, 0.006, 0.0216, 0.282, 0.0032, 0.1606, 0.0131, 0.0001]))
Row(prediction=9.0, features=DenseVector([54.0, 55.0, 42.0]), label=9.0, probability=DenseVector([0.0033, 0.0362, 0.0565, 0.0518, 0.0479, 0.0067, 0.158, 0.0002, 0.0092, 0.4049, 0.0017, 0.2042, 0.0151, 0.0043]))
Row(prediction=9.0, features=DenseVector([55.0, 12.0, 59.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 14.0, 61.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 23.0, 46.0]), label=1.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 24.0, 35.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 26.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 26.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 29.0, 41.0]), label=12.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=11.0, features=DenseVector([55.0, 30.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 36.0, 56.0]), label=9.0, probability=DenseVector([0.018, 0.1269, 0.0447, 0.0282, 0.0552, 0.063, 0.0213, 0.007, 0.0163, 0.427, 0.0104, 0.1343, 0.0457, 0.0019]))
Row(prediction=11.0, features=DenseVector([55.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 38.0, 31.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([55.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 42.0, 49.0]), label=4.0, probability=DenseVector([0.0051, 0.0901, 0.0949, 0.0673, 0.044, 0.0247, 0.0526, 0.0073, 0.0166, 0.4538, 0.0013, 0.1025, 0.0343, 0.0056]))
Row(prediction=9.0, features=DenseVector([55.0, 52.0, 45.0]), label=9.0, probability=DenseVector([0.0026, 0.0386, 0.0538, 0.0454, 0.0485, 0.0067, 0.1554, 0.0002, 0.0083, 0.4146, 0.0027, 0.204, 0.0165, 0.0027]))
Row(prediction=9.0, features=DenseVector([56.0, 25.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 26.0, 44.0]), label=1.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 29.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1183, 0.0538, 0.0031, 0.0093, 0.0003, 0.0016, 0.0, 0.0005, 0.5871, 0.0004, 0.1961, 0.0286, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 29.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=11.0, features=DenseVector([56.0, 32.0, 46.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 37.0, 18.0]), label=9.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 55.0, 48.0]), label=9.0, probability=DenseVector([0.0035, 0.0621, 0.04, 0.0544, 0.0496, 0.0026, 0.1119, 0.001, 0.0159, 0.5385, 0.0044, 0.0879, 0.0258, 0.0024]))
Row(prediction=9.0, features=DenseVector([57.0, 10.0, 62.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 12.0, 52.0]), label=9.0, probability=DenseVector([0.0005, 0.0717, 0.0451, 0.002, 0.0128, 0.0031, 0.0059, 0.0007, 0.0029, 0.7787, 0.0003, 0.0466, 0.0297, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 14.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 17.0, 46.0]), label=9.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 18.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 23.0, 39.0]), label=1.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 24.0, 42.0]), label=9.0, probability=DenseVector([0.001, 0.1135, 0.0517, 0.002, 0.0073, 0.0003, 0.0005, 0.0, 0.0004, 0.6494, 0.0003, 0.1428, 0.0306, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 28.0, 44.0]), label=12.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 29.0, 48.0]), label=1.0, probability=DenseVector([0.0038, 0.0999, 0.1424, 0.0026, 0.0142, 0.0024, 0.0043, 0.0004, 0.001, 0.5315, 0.0029, 0.1673, 0.0275, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 6.0, 55.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 8.0, 54.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 20.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0036, 0.0966, 0.1376, 0.0024, 0.017, 0.0024, 0.0058, 0.0004, 0.001, 0.6002, 0.0028, 0.0994, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([58.0, 31.0, 35.0]), label=9.0, probability=DenseVector([0.0127, 0.0886, 0.0052, 0.0032, 0.0133, 0.0012, 0.0627, 0.0021, 0.0011, 0.6681, 0.0018, 0.0942, 0.0458, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 17.0, 29.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([59.0, 17.0, 48.0]), label=9.0, probability=DenseVector([0.0011, 0.0863, 0.062, 0.002, 0.0092, 0.0021, 0.0038, 0.0001, 0.0007, 0.6728, 0.0008, 0.1314, 0.0275, 0.0]))
Row(prediction=11.0, features=DenseVector([59.0, 37.0, 44.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([59.0, 42.0, 46.0]), label=1.0, probability=DenseVector([0.0047, 0.0396, 0.0687, 0.04, 0.0413, 0.0192, 0.0816, 0.0059, 0.0105, 0.2911, 0.0011, 0.3798, 0.011, 0.0055]))
Row(prediction=9.0, features=DenseVector([60.0, 15.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 19.0, 45.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 27.0, 58.0]), label=9.0, probability=DenseVector([0.0118, 0.1241, 0.0558, 0.0092, 0.0306, 0.0114, 0.0074, 0.0018, 0.0078, 0.6289, 0.0059, 0.065, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 28.0, 40.0]), label=9.0, probability=DenseVector([0.0022, 0.0589, 0.0039, 0.001, 0.0091, 0.0004, 0.0091, 0.0, 0.0012, 0.4813, 0.0011, 0.4018, 0.03, 0.0]))
Row(prediction=11.0, features=DenseVector([60.0, 30.0, 48.0]), label=1.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 35.0, 49.0]), label=1.0, probability=DenseVector([0.0036, 0.1219, 0.1523, 0.0049, 0.0366, 0.0024, 0.018, 0.0004, 0.0027, 0.4117, 0.0027, 0.207, 0.0358, 0.0]))
Row(prediction=9.0, features=DenseVector([60.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.0046, 0.1261, 0.1243, 0.0115, 0.0387, 0.0173, 0.0262, 0.0027, 0.0082, 0.4281, 0.0033, 0.1702, 0.0378, 0.0009]))
Row(prediction=9.0, features=DenseVector([61.0, 10.0, 57.0]), label=9.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 18.0, 51.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 22.0, 33.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 22.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 26.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=11.0, features=DenseVector([61.0, 32.0, 47.0]), label=9.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([61.0, 33.0, 46.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([61.0, 36.0, 45.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 7.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 17.0, 50.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 17.0, 51.0]), label=9.0, probability=DenseVector([0.001, 0.083, 0.0572, 0.0018, 0.0121, 0.0021, 0.0053, 0.0001, 0.0008, 0.7415, 0.0007, 0.0635, 0.0308, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 20.0, 44.0]), label=9.0, probability=DenseVector([0.0004, 0.1004, 0.0556, 0.0018, 0.0083, 0.0003, 0.0016, 0.0, 0.0003, 0.618, 0.0003, 0.1864, 0.0266, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 25.0, 56.0]), label=9.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=11.0, features=DenseVector([62.0, 34.0, 45.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([62.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0138, 0.1192, 0.0988, 0.025, 0.0436, 0.0881, 0.0194, 0.0078, 0.0116, 0.3824, 0.0098, 0.1394, 0.0379, 0.0032]))
Row(prediction=6.0, features=DenseVector([62.0, 59.0, 29.0]), label=4.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=9.0, features=DenseVector([63.0, 20.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1061, 0.063, 0.0016, 0.0084, 0.0002, 0.0016, 0.0, 0.0003, 0.6016, 0.0003, 0.1899, 0.0267, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 24.0, 43.0]), label=9.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([63.0, 27.0, 55.0]), label=9.0, probability=DenseVector([0.0118, 0.1241, 0.0558, 0.0092, 0.0306, 0.0114, 0.0074, 0.0018, 0.0078, 0.6289, 0.0059, 0.065, 0.0403, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 30.0, 36.0]), label=4.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.4856, 0.0755, 0.0, 0.0028, 0.255, 0.0, 0.0098, 0.0497, 0.0212, 0.0051, 0.0797, 0.0, 0.0156, 0.0]))
Row(prediction=1.0, features=DenseVector([0.0, 33.0, 60.0]), label=1.0, probability=DenseVector([0.063, 0.2367, 0.0034, 0.0468, 0.0232, 0.0005, 0.1709, 0.0717, 0.1078, 0.0179, 0.0292, 0.0151, 0.2137, 0.0001]))
Row(prediction=0.0, features=DenseVector([0.0, 34.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 34.0, 37.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 7.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 4.0]), label=4.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 30.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 40.0]), label=4.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 34.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 38.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 31.0]), label=10.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 43.0, 32.0]), label=10.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 34.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 35.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 44.0, 33.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 47.0, 33.0]), label=10.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 36.0]), label=10.0, probability=DenseVector([0.1456, 0.021, 0.0, 0.0, 0.1112, 0.0, 0.368, 0.0204, 0.0118, 0.0149, 0.2999, 0.0, 0.0073, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 39.0]), label=10.0, probability=DenseVector([0.1287, 0.0177, 0.0, 0.0, 0.0981, 0.0, 0.4506, 0.0193, 0.0106, 0.0155, 0.2524, 0.0003, 0.0068, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 49.0, 34.0]), label=10.0, probability=DenseVector([0.1339, 0.0238, 0.0, 0.0, 0.1082, 0.0, 0.3597, 0.02, 0.0155, 0.0115, 0.3194, 0.0, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 50.0, 28.0]), label=4.0, probability=DenseVector([0.1285, 0.0192, 0.0, 0.0, 0.1194, 0.0, 0.505, 0.0264, 0.0148, 0.0064, 0.1565, 0.0005, 0.0233, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 50.0, 34.0]), label=10.0, probability=DenseVector([0.1292, 0.0128, 0.0, 0.0, 0.0871, 0.0, 0.5168, 0.0235, 0.0159, 0.0087, 0.1926, 0.0005, 0.0128, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 32.0, 36.0]), label=1.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 33.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 34.0, 30.0]), label=7.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 39.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 41.0]), label=0.0, probability=DenseVector([0.4097, 0.1855, 0.0007, 0.0096, 0.0893, 0.0002, 0.0753, 0.0571, 0.0265, 0.0095, 0.0964, 0.0019, 0.0382, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 39.0]), label=10.0, probability=DenseVector([0.3253, 0.0239, 0.0, 0.0, 0.2301, 0.0, 0.0793, 0.027, 0.0135, 0.0072, 0.284, 0.0, 0.0096, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 44.0, 32.0]), label=4.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 44.0, 40.0]), label=4.0, probability=DenseVector([0.1882, 0.0268, 0.0, 0.0, 0.1623, 0.0, 0.3153, 0.0243, 0.0107, 0.0068, 0.2557, 0.0, 0.0098, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 44.0, 46.0]), label=4.0, probability=DenseVector([0.0897, 0.0806, 0.0161, 0.0084, 0.0553, 0.0002, 0.4818, 0.0327, 0.0423, 0.0145, 0.1323, 0.0029, 0.0428, 0.0003]))
Row(prediction=10.0, features=DenseVector([1.0, 45.0, 28.0]), label=0.0, probability=DenseVector([0.2607, 0.0242, 0.0, 0.0, 0.2644, 0.0, 0.0819, 0.0356, 0.0258, 0.0027, 0.2875, 0.0, 0.0171, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 45.0, 35.0]), label=4.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 56.0, 39.0]), label=10.0, probability=DenseVector([0.1221, 0.0132, 0.0, 0.0, 0.0743, 0.0, 0.5879, 0.0157, 0.0097, 0.0077, 0.1608, 0.001, 0.0075, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 29.0]), label=10.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 28.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 29.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 30.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 40.0]), label=4.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 42.0]), label=4.0, probability=DenseVector([0.4437, 0.1642, 0.0003, 0.0035, 0.0891, 0.0002, 0.0813, 0.0432, 0.0193, 0.0111, 0.1157, 0.0006, 0.0279, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 43.0, 30.0]), label=4.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=10.0, features=DenseVector([2.0, 46.0, 31.0]), label=4.0, probability=DenseVector([0.2932, 0.0221, 0.0, 0.0, 0.2665, 0.0, 0.0666, 0.0266, 0.0129, 0.0048, 0.2954, 0.0, 0.0119, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 52.0, 29.0]), label=4.0, probability=DenseVector([0.1301, 0.0156, 0.0, 0.0, 0.1177, 0.0, 0.5452, 0.02, 0.0085, 0.0064, 0.1407, 0.0008, 0.0149, 0.0]))
Row(prediction=1.0, features=DenseVector([3.0, 17.0, 44.0]), label=1.0, probability=DenseVector([0.1606, 0.2363, 0.0005, 0.0611, 0.0784, 0.0002, 0.2154, 0.0921, 0.031, 0.0045, 0.042, 0.0004, 0.0775, 0.0]))
Row(prediction=4.0, features=DenseVector([3.0, 30.0, 30.0]), label=4.0, probability=DenseVector([0.2468, 0.1724, 0.0, 0.0023, 0.287, 0.0, 0.0145, 0.1061, 0.0521, 0.0, 0.0817, 0.0, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 33.0, 41.0]), label=1.0, probability=DenseVector([0.3789, 0.1956, 0.0008, 0.0163, 0.0882, 0.0009, 0.1001, 0.0605, 0.0236, 0.0104, 0.0821, 0.0008, 0.0418, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 28.0]), label=4.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 31.0]), label=10.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 31.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 40.0]), label=4.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 40.0]), label=4.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 30.0]), label=8.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 40.0]), label=4.0, probability=DenseVector([0.4912, 0.0537, 0.0, 0.0003, 0.1423, 0.0, 0.0716, 0.0279, 0.0115, 0.0101, 0.1775, 0.0, 0.0138, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 43.0, 19.0]), label=12.0, probability=DenseVector([0.269, 0.0248, 0.0, 0.0, 0.2673, 0.0, 0.0748, 0.0366, 0.0259, 0.0035, 0.2808, 0.0, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 43.0, 34.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 43.0, 39.0]), label=4.0, probability=DenseVector([0.3126, 0.0197, 0.0, 0.0, 0.2327, 0.0, 0.085, 0.0238, 0.0113, 0.0066, 0.2992, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 43.0, 41.0]), label=10.0, probability=DenseVector([0.216, 0.1179, 0.0024, 0.0013, 0.1183, 0.0, 0.205, 0.0432, 0.022, 0.0203, 0.2353, 0.0007, 0.0177, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 44.0, 40.0]), label=4.0, probability=DenseVector([0.1882, 0.0268, 0.0, 0.0, 0.1623, 0.0, 0.3153, 0.0243, 0.0107, 0.0068, 0.2557, 0.0, 0.0098, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 45.0, 34.0]), label=4.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 47.0, 31.0]), label=10.0, probability=DenseVector([0.2766, 0.0228, 0.0, 0.0, 0.2591, 0.0, 0.0868, 0.0262, 0.0133, 0.0055, 0.2977, 0.0, 0.0119, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 50.0, 40.0]), label=4.0, probability=DenseVector([0.0797, 0.0164, 0.0, 0.0, 0.0542, 0.0, 0.6261, 0.0105, 0.0095, 0.0052, 0.1918, 0.0004, 0.0062, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 53.0, 40.0]), label=4.0, probability=DenseVector([0.0823, 0.0156, 0.0, 0.0, 0.0537, 0.0, 0.6341, 0.0094, 0.0086, 0.005, 0.1849, 0.0004, 0.006, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 32.0, 44.0]), label=1.0, probability=DenseVector([0.1938, 0.2285, 0.0008, 0.0234, 0.0616, 0.0009, 0.2382, 0.0642, 0.045, 0.0087, 0.0573, 0.0007, 0.077, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 6.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 30.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 27.0]), label=4.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 31.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 30.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 37.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 37.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 43.0, 29.0]), label=4.0, probability=DenseVector([0.269, 0.0248, 0.0, 0.0, 0.2673, 0.0, 0.0748, 0.0366, 0.0259, 0.0035, 0.2808, 0.0, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 43.0, 30.0]), label=4.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 43.0, 31.0]), label=10.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 43.0, 33.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 44.0, 27.0]), label=4.0, probability=DenseVector([0.269, 0.0248, 0.0, 0.0, 0.2673, 0.0, 0.0748, 0.0366, 0.0259, 0.0035, 0.2808, 0.0, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 44.0, 36.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 44.0, 36.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 45.0, 31.0]), label=4.0, probability=DenseVector([0.2942, 0.0215, 0.0, 0.0, 0.2697, 0.0, 0.0629, 0.0252, 0.0129, 0.0042, 0.2973, 0.0, 0.012, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 45.0, 32.0]), label=4.0, probability=DenseVector([0.3015, 0.0155, 0.0, 0.0, 0.2469, 0.0, 0.0733, 0.0213, 0.0104, 0.0048, 0.3174, 0.0, 0.0088, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 45.0, 32.0]), label=10.0, probability=DenseVector([0.3015, 0.0155, 0.0, 0.0, 0.2469, 0.0, 0.0733, 0.0213, 0.0104, 0.0048, 0.3174, 0.0, 0.0088, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 45.0, 32.0]), label=4.0, probability=DenseVector([0.3015, 0.0155, 0.0, 0.0, 0.2469, 0.0, 0.0733, 0.0213, 0.0104, 0.0048, 0.3174, 0.0, 0.0088, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 46.0, 29.0]), label=4.0, probability=DenseVector([0.2597, 0.0248, 0.0, 0.0, 0.2612, 0.0, 0.0855, 0.037, 0.0258, 0.0033, 0.2857, 0.0, 0.0171, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 46.0, 34.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 50.0, 29.0]), label=4.0, probability=DenseVector([0.1285, 0.0192, 0.0, 0.0, 0.1194, 0.0, 0.505, 0.0264, 0.0148, 0.0064, 0.1565, 0.0005, 0.0233, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 52.0, 36.0]), label=10.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 27.0, 43.0]), label=1.0, probability=DenseVector([0.2208, 0.2031, 0.0007, 0.026, 0.1109, 0.0009, 0.1788, 0.0788, 0.0398, 0.0074, 0.0592, 0.0007, 0.073, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 31.0, 38.0]), label=10.0, probability=DenseVector([0.3066, 0.2246, 0.0, 0.0012, 0.1964, 0.0, 0.0539, 0.1033, 0.0314, 0.001, 0.0524, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 29.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 29.0]), label=0.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 37.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 29.0]), label=10.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 40.0]), label=4.0, probability=DenseVector([0.5591, 0.0721, 0.0, 0.0005, 0.1384, 0.0, 0.0435, 0.0335, 0.0101, 0.0085, 0.118, 0.0001, 0.0162, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 28.0]), label=4.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=1.0, features=DenseVector([5.0, 39.0, 54.0]), label=1.0, probability=DenseVector([0.097, 0.2159, 0.0088, 0.0267, 0.0418, 0.0008, 0.1816, 0.0571, 0.1553, 0.0205, 0.05, 0.0148, 0.1292, 0.0004]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 29.0]), label=4.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 39.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 41.0]), label=10.0, probability=DenseVector([0.468, 0.1619, 0.0003, 0.0034, 0.0918, 0.0002, 0.0571, 0.0432, 0.0192, 0.0111, 0.1163, 0.0006, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 30.0]), label=4.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 30.0]), label=4.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 39.0]), label=4.0, probability=DenseVector([0.3253, 0.0239, 0.0, 0.0, 0.2301, 0.0, 0.0793, 0.027, 0.0135, 0.0072, 0.284, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 40.0]), label=4.0, probability=DenseVector([0.4912, 0.0537, 0.0, 0.0003, 0.1423, 0.0, 0.0716, 0.0279, 0.0115, 0.0101, 0.1775, 0.0, 0.0138, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 31.0]), label=10.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 31.0]), label=10.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 39.0]), label=4.0, probability=DenseVector([0.3126, 0.0197, 0.0, 0.0, 0.2327, 0.0, 0.085, 0.0238, 0.0113, 0.0066, 0.2992, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 47.0, 33.0]), label=4.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 49.0, 33.0]), label=4.0, probability=DenseVector([0.1444, 0.026, 0.0, 0.0, 0.1144, 0.0, 0.3475, 0.0233, 0.017, 0.0107, 0.3062, 0.0, 0.0104, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 49.0, 35.0]), label=10.0, probability=DenseVector([0.1339, 0.0238, 0.0, 0.0, 0.1082, 0.0, 0.3597, 0.02, 0.0155, 0.0115, 0.3194, 0.0, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 51.0, 39.0]), label=1.0, probability=DenseVector([0.1195, 0.014, 0.0, 0.0, 0.0748, 0.0, 0.5799, 0.0167, 0.0105, 0.0079, 0.1677, 0.001, 0.0078, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 54.0, 30.0]), label=4.0, probability=DenseVector([0.1371, 0.0125, 0.0, 0.0, 0.1013, 0.0, 0.5517, 0.019, 0.0088, 0.0069, 0.154, 0.0008, 0.0079, 0.0]))
Row(prediction=1.0, features=DenseVector([6.0, 21.0, 47.0]), label=1.0, probability=DenseVector([0.1019, 0.3412, 0.0005, 0.0175, 0.0347, 0.0002, 0.2058, 0.0616, 0.0444, 0.0079, 0.033, 0.0011, 0.1502, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 28.0, 37.0]), label=1.0, probability=DenseVector([0.2489, 0.2399, 0.0, 0.0009, 0.1466, 0.0, 0.1199, 0.1139, 0.0473, 0.001, 0.0427, 0.0001, 0.0388, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 30.0, 32.0]), label=1.0, probability=DenseVector([0.3307, 0.2091, 0.0, 0.0021, 0.2146, 0.0, 0.0179, 0.0996, 0.0346, 0.0005, 0.0646, 0.0, 0.0264, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 29.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 31.0]), label=8.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 40.0]), label=0.0, probability=DenseVector([0.5407, 0.078, 0.0, 0.0025, 0.1387, 0.0, 0.06, 0.0372, 0.0107, 0.0065, 0.1077, 0.0001, 0.0178, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 29.0]), label=10.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 30.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 29.0]), label=10.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 31.0]), label=4.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 32.0]), label=10.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 43.0, 35.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 44.0, 32.0]), label=10.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 33.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 37.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 45.0, 31.0]), label=4.0, probability=DenseVector([0.2942, 0.0215, 0.0, 0.0, 0.2697, 0.0, 0.0629, 0.0252, 0.0129, 0.0042, 0.2973, 0.0, 0.012, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 45.0, 33.0]), label=10.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 46.0, 32.0]), label=10.0, probability=DenseVector([0.3006, 0.0161, 0.0, 0.0, 0.2437, 0.0, 0.0769, 0.0227, 0.0104, 0.0053, 0.3155, 0.0, 0.0088, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 46.0, 35.0]), label=4.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 46.0, 37.0]), label=4.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 48.0, 26.0]), label=1.0, probability=DenseVector([0.1612, 0.0272, 0.0, 0.0, 0.1449, 0.0, 0.3688, 0.0306, 0.0131, 0.0072, 0.2332, 0.0, 0.0139, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 48.0, 37.0]), label=4.0, probability=DenseVector([0.1481, 0.0186, 0.0, 0.0, 0.1106, 0.0, 0.3984, 0.0232, 0.0109, 0.0165, 0.266, 0.0, 0.0077, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 55.0, 59.0]), label=1.0, probability=DenseVector([0.0783, 0.1076, 0.01, 0.0108, 0.089, 0.0002, 0.2002, 0.0834, 0.1194, 0.0516, 0.1382, 0.0117, 0.0994, 0.0]))
Row(prediction=1.0, features=DenseVector([7.0, 29.0, 40.0]), label=4.0, probability=DenseVector([0.2286, 0.312, 0.0, 0.0032, 0.1042, 0.0, 0.0454, 0.1217, 0.0156, 0.021, 0.0503, 0.0001, 0.0978, 0.0]))
Row(prediction=1.0, features=DenseVector([7.0, 29.0, 54.0]), label=1.0, probability=DenseVector([0.0642, 0.3422, 0.0006, 0.038, 0.0194, 0.0005, 0.0548, 0.1238, 0.0594, 0.0156, 0.0128, 0.0103, 0.2583, 0.0001]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 31.0]), label=10.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 39.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([7.0, 34.0, 42.0]), label=0.0, probability=DenseVector([0.2777, 0.2813, 0.0007, 0.0081, 0.0852, 0.0002, 0.0505, 0.1081, 0.0248, 0.0169, 0.0662, 0.0018, 0.0785, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 31.0]), label=10.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 29.0]), label=10.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 29.0]), label=4.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 41.0]), label=0.0, probability=DenseVector([0.3784, 0.2159, 0.0007, 0.0073, 0.0897, 0.0002, 0.0517, 0.0654, 0.0258, 0.0132, 0.0944, 0.0019, 0.0553, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 29.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.4169, 0.1917, 0.0007, 0.0073, 0.0882, 0.0002, 0.0507, 0.0554, 0.0273, 0.0128, 0.1053, 0.0019, 0.0415, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 29.0]), label=4.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=1.0, features=DenseVector([7.0, 40.0, 44.0]), label=0.0, probability=DenseVector([0.2597, 0.262, 0.0017, 0.0047, 0.0765, 0.0002, 0.0795, 0.0696, 0.046, 0.0181, 0.0889, 0.003, 0.0901, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 29.0]), label=4.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 33.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=1.0, features=DenseVector([7.0, 41.0, 45.0]), label=10.0, probability=DenseVector([0.2391, 0.2647, 0.0017, 0.0047, 0.0736, 0.0002, 0.0941, 0.0686, 0.0486, 0.0178, 0.0879, 0.003, 0.0962, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 30.0]), label=4.0, probability=DenseVector([0.4205, 0.0482, 0.0, 0.0, 0.2464, 0.0, 0.0239, 0.0462, 0.027, 0.0123, 0.1496, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 32.0]), label=10.0, probability=DenseVector([0.4172, 0.0391, 0.0, 0.0, 0.2429, 0.0, 0.024, 0.0412, 0.0203, 0.0194, 0.1752, 0.0, 0.0205, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 32.0]), label=0.0, probability=DenseVector([0.4172, 0.0391, 0.0, 0.0, 0.2429, 0.0, 0.024, 0.0412, 0.0203, 0.0194, 0.1752, 0.0, 0.0205, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 34.0]), label=10.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 37.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 40.0]), label=4.0, probability=DenseVector([0.2744, 0.068, 0.0003, 0.0001, 0.1886, 0.0, 0.0791, 0.0551, 0.0253, 0.0361, 0.2439, 0.0002, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 40.0]), label=4.0, probability=DenseVector([0.2744, 0.068, 0.0003, 0.0001, 0.1886, 0.0, 0.0791, 0.0551, 0.0253, 0.0361, 0.2439, 0.0002, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 33.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 37.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 32.0]), label=10.0, probability=DenseVector([0.4105, 0.038, 0.0, 0.0, 0.2405, 0.0, 0.0269, 0.0431, 0.0249, 0.0195, 0.175, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 33.0]), label=4.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 34.0]), label=4.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 34.0]), label=4.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 46.0, 32.0]), label=10.0, probability=DenseVector([0.4023, 0.0372, 0.0, 0.0, 0.2375, 0.0, 0.0331, 0.0434, 0.0247, 0.0191, 0.182, 0.0, 0.0207, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 46.0, 36.0]), label=4.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 46.0, 36.0]), label=4.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 49.0, 33.0]), label=4.0, probability=DenseVector([0.323, 0.0504, 0.0002, 0.0, 0.1704, 0.0, 0.1829, 0.0409, 0.0218, 0.0287, 0.152, 0.0007, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 49.0, 36.0]), label=4.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 49.0, 37.0]), label=10.0, probability=DenseVector([0.3198, 0.0496, 0.0002, 0.0, 0.1747, 0.0, 0.1911, 0.0396, 0.021, 0.0319, 0.1428, 0.0007, 0.0285, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 50.0, 39.0]), label=10.0, probability=DenseVector([0.2515, 0.031, 0.0002, 0.0, 0.1152, 0.0, 0.4043, 0.029, 0.0179, 0.0253, 0.1068, 0.0021, 0.0166, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 55.0, 37.0]), label=10.0, probability=DenseVector([0.2532, 0.027, 0.0002, 0.0, 0.0992, 0.0, 0.4713, 0.0279, 0.0166, 0.0136, 0.0766, 0.0022, 0.0121, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 23.0, 43.0]), label=12.0, probability=DenseVector([0.1481, 0.426, 0.0007, 0.0081, 0.0368, 0.0009, 0.0536, 0.1267, 0.0238, 0.0136, 0.0299, 0.0006, 0.1312, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 31.0, 25.0]), label=8.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 31.0, 31.0]), label=4.0, probability=DenseVector([0.3073, 0.2188, 0.0, 0.0013, 0.1764, 0.0, 0.007, 0.1241, 0.0755, 0.0001, 0.0311, 0.0, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 31.0, 33.0]), label=1.0, probability=DenseVector([0.3559, 0.2469, 0.0, 0.0014, 0.1653, 0.0, 0.0136, 0.111, 0.035, 0.0006, 0.0401, 0.0, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 37.0]), label=1.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 37.0]), label=1.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 32.0, 41.0]), label=1.0, probability=DenseVector([0.2633, 0.2877, 0.0008, 0.0092, 0.091, 0.0009, 0.064, 0.09, 0.0219, 0.0227, 0.0709, 0.0008, 0.0769, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 32.0]), label=10.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 37.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 40.0]), label=1.0, probability=DenseVector([0.4125, 0.1712, 0.0, 0.001, 0.1376, 0.0, 0.038, 0.0786, 0.0098, 0.0158, 0.0845, 0.0001, 0.0509, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 41.0]), label=1.0, probability=DenseVector([0.2919, 0.2721, 0.0007, 0.0081, 0.0883, 0.0002, 0.0526, 0.0979, 0.0243, 0.0182, 0.0732, 0.0018, 0.0709, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 24.0]), label=8.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 40.0]), label=10.0, probability=DenseVector([0.4971, 0.1118, 0.0, 0.001, 0.1381, 0.0, 0.0405, 0.0496, 0.0116, 0.0108, 0.1035, 0.0001, 0.0359, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 28.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 39.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 42.0]), label=0.0, probability=DenseVector([0.3642, 0.2251, 0.0007, 0.0073, 0.0866, 0.0002, 0.0496, 0.0757, 0.0263, 0.0119, 0.0874, 0.0019, 0.063, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 27.0]), label=12.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 37.0]), label=12.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 28.0]), label=10.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=12.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 30.0]), label=7.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 30.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 31.0]), label=10.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 31.0]), label=4.0, probability=DenseVector([0.4205, 0.0482, 0.0, 0.0, 0.2464, 0.0, 0.0239, 0.0462, 0.027, 0.0123, 0.1496, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 31.0]), label=4.0, probability=DenseVector([0.4205, 0.0482, 0.0, 0.0, 0.2464, 0.0, 0.0239, 0.0462, 0.027, 0.0123, 0.1496, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 33.0]), label=12.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 32.0]), label=10.0, probability=DenseVector([0.4092, 0.038, 0.0, 0.0, 0.2421, 0.0, 0.0264, 0.042, 0.0233, 0.0199, 0.1773, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 34.0]), label=10.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 35.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 44.0, 35.0]), label=0.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 45.0, 33.0]), label=4.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 45.0, 34.0]), label=10.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([8.0, 45.0, 40.0]), label=4.0, probability=DenseVector([0.2422, 0.0621, 0.0003, 0.0001, 0.1577, 0.0, 0.0915, 0.0428, 0.0399, 0.0327, 0.2877, 0.0002, 0.0426, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 46.0, 33.0]), label=4.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 46.0, 34.0]), label=4.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 46.0, 35.0]), label=4.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 48.0, 30.0]), label=4.0, probability=DenseVector([0.3472, 0.0478, 0.0002, 0.0, 0.1717, 0.0, 0.199, 0.0498, 0.0234, 0.0204, 0.1111, 0.0007, 0.0286, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 48.0, 35.0]), label=4.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 48.0, 38.0]), label=10.0, probability=DenseVector([0.3198, 0.0496, 0.0002, 0.0, 0.1747, 0.0, 0.1911, 0.0396, 0.021, 0.0319, 0.1428, 0.0007, 0.0285, 0.0]))
Row(prediction=6.0, features=DenseVector([8.0, 51.0, 43.0]), label=10.0, probability=DenseVector([0.1041, 0.095, 0.0266, 0.0079, 0.0755, 0.0, 0.423, 0.0163, 0.0409, 0.036, 0.1316, 0.005, 0.037, 0.0011]))
Row(prediction=6.0, features=DenseVector([8.0, 60.0, 63.0]), label=1.0, probability=DenseVector([0.0965, 0.1859, 0.0102, 0.0109, 0.0965, 0.0002, 0.2327, 0.0256, 0.0783, 0.0634, 0.0869, 0.0304, 0.0826, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 28.0, 24.0]), label=1.0, probability=DenseVector([0.1377, 0.2972, 0.0, 0.0, 0.0903, 0.0, 0.0149, 0.2381, 0.1441, 0.0012, 0.0111, 0.0, 0.0654, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 28.0, 25.0]), label=1.0, probability=DenseVector([0.1377, 0.2972, 0.0, 0.0, 0.0903, 0.0, 0.0149, 0.2381, 0.1441, 0.0012, 0.0111, 0.0, 0.0654, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 29.0, 22.0]), label=1.0, probability=DenseVector([0.1377, 0.2972, 0.0, 0.0, 0.0903, 0.0, 0.0149, 0.2381, 0.1441, 0.0012, 0.0111, 0.0, 0.0654, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 29.0, 36.0]), label=1.0, probability=DenseVector([0.2581, 0.3385, 0.0, 0.0003, 0.1201, 0.0, 0.0414, 0.133, 0.0405, 0.0009, 0.0288, 0.0001, 0.0382, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 29.0, 37.0]), label=4.0, probability=DenseVector([0.2647, 0.3079, 0.0, 0.0003, 0.1199, 0.0, 0.0545, 0.1204, 0.0423, 0.0027, 0.0347, 0.0001, 0.0524, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 30.0, 22.0]), label=7.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 30.0, 31.0]), label=4.0, probability=DenseVector([0.3073, 0.2188, 0.0, 0.0013, 0.1764, 0.0, 0.007, 0.1241, 0.0755, 0.0001, 0.0311, 0.0, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 30.0, 33.0]), label=1.0, probability=DenseVector([0.3559, 0.2469, 0.0, 0.0014, 0.1653, 0.0, 0.0136, 0.111, 0.035, 0.0006, 0.0401, 0.0, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 30.0, 47.0]), label=1.0, probability=DenseVector([0.0955, 0.3639, 0.0007, 0.0087, 0.0257, 0.0009, 0.0864, 0.1136, 0.0564, 0.0147, 0.0218, 0.0035, 0.2083, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 31.0, 28.0]), label=8.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 31.0, 32.0]), label=10.0, probability=DenseVector([0.3732, 0.2209, 0.0, 0.0014, 0.1791, 0.0, 0.0126, 0.1002, 0.0377, 0.0005, 0.0431, 0.0, 0.0313, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 31.0, 42.0]), label=12.0, probability=DenseVector([0.1942, 0.3206, 0.0007, 0.0092, 0.0852, 0.0009, 0.0545, 0.1264, 0.0187, 0.0255, 0.0458, 0.0007, 0.1176, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 21.0]), label=1.0, probability=DenseVector([0.3431, 0.1558, 0.0, 0.0008, 0.165, 0.0, 0.0099, 0.1471, 0.0913, 0.0044, 0.0388, 0.0, 0.0438, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.5178, 0.0825, 0.0, 0.0026, 0.2242, 0.0, 0.0083, 0.0535, 0.0246, 0.0052, 0.062, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.1054, 0.3401, 0.003, 0.047, 0.031, 0.0006, 0.0553, 0.1235, 0.0451, 0.0173, 0.0295, 0.0046, 0.1975, 0.0001]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 33.0, 43.0]), label=1.0, probability=DenseVector([0.1856, 0.344, 0.0008, 0.008, 0.0488, 0.0009, 0.055, 0.1307, 0.0313, 0.0151, 0.0465, 0.0007, 0.1327, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 34.0, 48.0]), label=1.0, probability=DenseVector([0.1107, 0.3476, 0.0028, 0.0254, 0.0322, 0.0001, 0.0574, 0.1277, 0.0476, 0.017, 0.0302, 0.0044, 0.1968, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 28.0]), label=7.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 28.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 29.0]), label=4.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 30.0]), label=10.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.3784, 0.2159, 0.0007, 0.0073, 0.0897, 0.0002, 0.0517, 0.0654, 0.0258, 0.0132, 0.0944, 0.0019, 0.0553, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 29.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.5463, 0.0821, 0.0, 0.0003, 0.1376, 0.0, 0.0378, 0.0356, 0.0101, 0.0115, 0.1184, 0.0001, 0.0203, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.3295, 0.244, 0.0007, 0.0071, 0.0791, 0.0002, 0.0593, 0.067, 0.0333, 0.0121, 0.0984, 0.0025, 0.0664, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 43.0]), label=8.0, probability=DenseVector([0.3295, 0.244, 0.0007, 0.0071, 0.0791, 0.0002, 0.0593, 0.067, 0.0333, 0.0121, 0.0984, 0.0025, 0.0664, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 31.0]), label=10.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 38.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 38.0, 44.0]), label=1.0, probability=DenseVector([0.2588, 0.2724, 0.0008, 0.0073, 0.0755, 0.0002, 0.0754, 0.07, 0.0435, 0.0123, 0.0877, 0.0034, 0.0926, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 28.0]), label=7.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 40.0]), label=4.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 28.0]), label=1.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 31.0]), label=10.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 43.0]), label=0.0, probability=DenseVector([0.3559, 0.2295, 0.0003, 0.0031, 0.086, 0.0002, 0.0601, 0.0595, 0.0265, 0.0116, 0.1072, 0.0012, 0.0588, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 31.0]), label=1.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 32.0]), label=10.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 40.0]), label=12.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 30.0]), label=4.0, probability=DenseVector([0.4205, 0.0482, 0.0, 0.0, 0.2464, 0.0, 0.0239, 0.0462, 0.027, 0.0123, 0.1496, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 31.0]), label=4.0, probability=DenseVector([0.4205, 0.0482, 0.0, 0.0, 0.2464, 0.0, 0.0239, 0.0462, 0.027, 0.0123, 0.1496, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 32.0]), label=10.0, probability=DenseVector([0.4172, 0.0391, 0.0, 0.0, 0.2429, 0.0, 0.024, 0.0412, 0.0203, 0.0194, 0.1752, 0.0, 0.0205, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 34.0]), label=10.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 42.0]), label=4.0, probability=DenseVector([0.4332, 0.1577, 0.001, 0.0004, 0.0979, 0.0, 0.0579, 0.0445, 0.0223, 0.017, 0.1385, 0.0004, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 31.0]), label=4.0, probability=DenseVector([0.4124, 0.0471, 0.0, 0.0, 0.2456, 0.0, 0.0263, 0.0471, 0.0299, 0.0128, 0.1516, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 32.0]), label=4.0, probability=DenseVector([0.4092, 0.038, 0.0, 0.0, 0.2421, 0.0, 0.0264, 0.042, 0.0233, 0.0199, 0.1773, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 33.0]), label=10.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 34.0]), label=10.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 35.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 37.0]), label=1.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 34.0]), label=10.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 35.0]), label=10.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([9.0, 44.0, 41.0]), label=4.0, probability=DenseVector([0.1944, 0.1344, 0.0027, 0.0014, 0.1244, 0.0, 0.1103, 0.0501, 0.0471, 0.0372, 0.2505, 0.0008, 0.0467, 0.0]))
Row(prediction=10.0, features=DenseVector([9.0, 44.0, 44.0]), label=4.0, probability=DenseVector([0.165, 0.1246, 0.0164, 0.0085, 0.1226, 0.0002, 0.116, 0.0526, 0.0665, 0.0336, 0.2304, 0.0031, 0.0602, 0.0003]))
Row(prediction=0.0, features=DenseVector([9.0, 45.0, 32.0]), label=10.0, probability=DenseVector([0.4105, 0.038, 0.0, 0.0, 0.2405, 0.0, 0.0269, 0.0431, 0.0249, 0.0195, 0.175, 0.0, 0.0217, 0.0]))
Row(prediction=10.0, features=DenseVector([9.0, 45.0, 40.0]), label=4.0, probability=DenseVector([0.2422, 0.0621, 0.0003, 0.0001, 0.1577, 0.0, 0.0915, 0.0428, 0.0399, 0.0327, 0.2877, 0.0002, 0.0426, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 46.0, 35.0]), label=10.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 46.0, 38.0]), label=4.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=10.0, features=DenseVector([9.0, 47.0, 41.0]), label=4.0, probability=DenseVector([0.1681, 0.0789, 0.0197, 0.0044, 0.1208, 0.0, 0.1768, 0.0367, 0.0456, 0.0418, 0.2599, 0.002, 0.0451, 0.0002]))
Row(prediction=0.0, features=DenseVector([9.0, 48.0, 37.0]), label=4.0, probability=DenseVector([0.3198, 0.0496, 0.0002, 0.0, 0.1747, 0.0, 0.1911, 0.0396, 0.021, 0.0319, 0.1428, 0.0007, 0.0285, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 49.0, 35.0]), label=4.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 23.0, 48.0]), label=1.0, probability=DenseVector([0.0859, 0.4038, 0.0028, 0.0484, 0.0219, 0.0006, 0.046, 0.1079, 0.0369, 0.0112, 0.0199, 0.0039, 0.2106, 0.0001]))
Row(prediction=1.0, features=DenseVector([10.0, 27.0, 34.0]), label=1.0, probability=DenseVector([0.2521, 0.3412, 0.0, 0.0003, 0.1152, 0.0, 0.0242, 0.1591, 0.0437, 0.001, 0.0278, 0.0004, 0.0351, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 28.0, 31.0]), label=4.0, probability=DenseVector([0.2364, 0.2633, 0.0, 0.001, 0.1506, 0.0, 0.0103, 0.1659, 0.0836, 0.0004, 0.0251, 0.0001, 0.0632, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 28.0, 34.0]), label=1.0, probability=DenseVector([0.2521, 0.3412, 0.0, 0.0003, 0.1152, 0.0, 0.0242, 0.1591, 0.0437, 0.001, 0.0278, 0.0004, 0.0351, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 28.0, 38.0]), label=12.0, probability=DenseVector([0.2596, 0.3271, 0.0, 0.0003, 0.1084, 0.0, 0.0395, 0.1247, 0.0376, 0.0036, 0.0343, 0.0001, 0.0647, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 29.0, 33.0]), label=1.0, probability=DenseVector([0.2514, 0.3298, 0.0, 0.0003, 0.1182, 0.0, 0.0238, 0.1598, 0.0501, 0.001, 0.0279, 0.0004, 0.0374, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 29.0, 34.0]), label=1.0, probability=DenseVector([0.2521, 0.3412, 0.0, 0.0003, 0.1152, 0.0, 0.0242, 0.1591, 0.0437, 0.001, 0.0278, 0.0004, 0.0351, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 29.0, 36.0]), label=1.0, probability=DenseVector([0.2493, 0.3705, 0.0, 0.0003, 0.1105, 0.0, 0.0263, 0.1369, 0.0375, 0.0009, 0.0293, 0.0001, 0.0384, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 30.0, 32.0]), label=1.0, probability=DenseVector([0.3588, 0.2395, 0.0, 0.0014, 0.1728, 0.0, 0.0113, 0.109, 0.0362, 0.0005, 0.0392, 0.0, 0.0315, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 30.0, 37.0]), label=1.0, probability=DenseVector([0.3304, 0.2824, 0.0, 0.0013, 0.146, 0.0, 0.0135, 0.115, 0.0273, 0.0027, 0.0381, 0.0001, 0.0432, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 30.0, 40.0]), label=12.0, probability=DenseVector([0.2269, 0.3594, 0.0, 0.0023, 0.1057, 0.0, 0.0347, 0.0983, 0.0126, 0.0173, 0.0475, 0.0002, 0.0952, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 31.0, 24.0]), label=1.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 31.0, 25.0]), label=8.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 31.0]), label=7.0, probability=DenseVector([0.2999, 0.2271, 0.0, 0.0013, 0.1747, 0.0, 0.0065, 0.1279, 0.0744, 0.0001, 0.0302, 0.0, 0.058, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 31.0]), label=8.0, probability=DenseVector([0.2999, 0.2271, 0.0, 0.0013, 0.1747, 0.0, 0.0065, 0.1279, 0.0744, 0.0001, 0.0302, 0.0, 0.058, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 31.0]), label=1.0, probability=DenseVector([0.2999, 0.2271, 0.0, 0.0013, 0.1747, 0.0, 0.0065, 0.1279, 0.0744, 0.0001, 0.0302, 0.0, 0.058, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 37.0]), label=4.0, probability=DenseVector([0.3304, 0.2824, 0.0, 0.0013, 0.146, 0.0, 0.0135, 0.115, 0.0273, 0.0027, 0.0381, 0.0001, 0.0432, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.4342, 0.1142, 0.0, 0.0018, 0.2164, 0.0, 0.0066, 0.0759, 0.053, 0.0044, 0.0517, 0.0, 0.0416, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 32.0]), label=1.0, probability=DenseVector([0.5178, 0.0825, 0.0, 0.0026, 0.2242, 0.0, 0.0083, 0.0535, 0.0246, 0.0052, 0.062, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 35.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 38.0]), label=1.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 27.0]), label=0.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 32.0]), label=10.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 33.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 37.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 33.0, 47.0]), label=1.0, probability=DenseVector([0.1109, 0.3777, 0.0009, 0.0088, 0.0324, 0.0009, 0.058, 0.1218, 0.0431, 0.0171, 0.031, 0.002, 0.1955, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 33.0, 52.0]), label=12.0, probability=DenseVector([0.0808, 0.3512, 0.0067, 0.0627, 0.0238, 0.0006, 0.0451, 0.1311, 0.0578, 0.0166, 0.0233, 0.0105, 0.1896, 0.0003]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 29.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 31.0]), label=8.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 34.0, 41.0]), label=0.0, probability=DenseVector([0.2681, 0.3076, 0.0007, 0.0071, 0.086, 0.0002, 0.0456, 0.0971, 0.0239, 0.0185, 0.0673, 0.0019, 0.076, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 34.0, 42.0]), label=1.0, probability=DenseVector([0.254, 0.3169, 0.0007, 0.0071, 0.0829, 0.0002, 0.0435, 0.1073, 0.0244, 0.0171, 0.0603, 0.0019, 0.0837, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 27.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 38.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 30.0]), label=12.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.5361, 0.0937, 0.0, 0.0001, 0.1374, 0.0, 0.0352, 0.0387, 0.0099, 0.0127, 0.1156, 0.0001, 0.0207, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 27.0]), label=0.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 40.0]), label=4.0, probability=DenseVector([0.5599, 0.0789, 0.0, 0.0001, 0.1335, 0.0, 0.0352, 0.0329, 0.0102, 0.0116, 0.1193, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 28.0]), label=1.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=1.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=12.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 39.0, 47.0]), label=1.0, probability=DenseVector([0.1964, 0.2794, 0.0011, 0.0082, 0.0628, 0.0002, 0.1023, 0.0754, 0.0584, 0.0186, 0.0732, 0.0044, 0.1196, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 30.0]), label=12.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 34.0]), label=12.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 40.0]), label=4.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 30.0]), label=10.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 30.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 32.0]), label=10.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 41.0]), label=4.0, probability=DenseVector([0.4553, 0.1719, 0.0003, 0.0031, 0.091, 0.0002, 0.0514, 0.0453, 0.0192, 0.014, 0.1167, 0.0006, 0.0311, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 39.0]), label=4.0, probability=DenseVector([0.3957, 0.0458, 0.0, 0.0, 0.2291, 0.0, 0.029, 0.0407, 0.0213, 0.0241, 0.1928, 0.0, 0.0213, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 32.0]), label=10.0, probability=DenseVector([0.4077, 0.0404, 0.0, 0.0, 0.2375, 0.0, 0.0275, 0.0446, 0.0266, 0.0206, 0.1722, 0.0, 0.0227, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 38.0]), label=1.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 40.0]), label=4.0, probability=DenseVector([0.2744, 0.068, 0.0003, 0.0001, 0.1886, 0.0, 0.0791, 0.0551, 0.0253, 0.0361, 0.2439, 0.0002, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 41.0]), label=4.0, probability=DenseVector([0.2345, 0.1508, 0.0027, 0.0014, 0.1198, 0.0, 0.095, 0.0633, 0.037, 0.0395, 0.2199, 0.0008, 0.0352, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 41.0]), label=12.0, probability=DenseVector([0.2345, 0.1508, 0.0027, 0.0014, 0.1198, 0.0, 0.095, 0.0633, 0.037, 0.0395, 0.2199, 0.0008, 0.0352, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 32.0]), label=4.0, probability=DenseVector([0.4077, 0.0404, 0.0, 0.0, 0.2375, 0.0, 0.0275, 0.0446, 0.0266, 0.0206, 0.1722, 0.0, 0.0227, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 35.0]), label=10.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 36.0]), label=10.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 39.0]), label=4.0, probability=DenseVector([0.3783, 0.0545, 0.0003, 0.0001, 0.223, 0.0, 0.0331, 0.0426, 0.0232, 0.0265, 0.195, 0.0002, 0.0231, 0.0]))
Row(prediction=10.0, features=DenseVector([10.0, 44.0, 40.0]), label=4.0, probability=DenseVector([0.2374, 0.0603, 0.0003, 0.0001, 0.1762, 0.0, 0.0844, 0.0392, 0.0417, 0.0321, 0.2887, 0.0002, 0.0395, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 45.0, 30.0]), label=0.0, probability=DenseVector([0.4123, 0.0495, 0.0, 0.0, 0.2393, 0.0, 0.0279, 0.0507, 0.0348, 0.0131, 0.1443, 0.0, 0.0281, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 47.0, 39.0]), label=1.0, probability=DenseVector([0.3571, 0.0546, 0.0003, 0.0001, 0.2131, 0.0, 0.0541, 0.0432, 0.0249, 0.0277, 0.2032, 0.0002, 0.0214, 0.0]))
Row(prediction=10.0, features=DenseVector([10.0, 47.0, 45.0]), label=10.0, probability=DenseVector([0.1085, 0.0914, 0.0403, 0.0116, 0.1202, 0.0002, 0.202, 0.0406, 0.0769, 0.0336, 0.2072, 0.005, 0.0623, 0.0004]))
Row(prediction=0.0, features=DenseVector([10.0, 48.0, 28.0]), label=4.0, probability=DenseVector([0.3515, 0.0573, 0.0002, 0.0, 0.1558, 0.0, 0.2048, 0.0559, 0.0295, 0.0199, 0.087, 0.0007, 0.0373, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 48.0, 34.0]), label=4.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 49.0, 33.0]), label=4.0, probability=DenseVector([0.323, 0.0504, 0.0002, 0.0, 0.1704, 0.0, 0.1829, 0.0409, 0.0218, 0.0287, 0.152, 0.0007, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 49.0, 35.0]), label=4.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 17.0, 44.0]), label=1.0, probability=DenseVector([0.0898, 0.5655, 0.0006, 0.0082, 0.022, 0.0002, 0.0423, 0.0726, 0.0432, 0.0104, 0.0177, 0.0019, 0.1256, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 24.0, 29.0]), label=1.0, probability=DenseVector([0.1415, 0.3544, 0.0, 0.0, 0.0832, 0.0, 0.0142, 0.2275, 0.1075, 0.0038, 0.0042, 0.0004, 0.0634, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 26.0, 27.0]), label=1.0, probability=DenseVector([0.1415, 0.3544, 0.0, 0.0, 0.0832, 0.0, 0.0142, 0.2275, 0.1075, 0.0038, 0.0042, 0.0004, 0.0634, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 27.0, 37.0]), label=1.0, probability=DenseVector([0.1744, 0.486, 0.0, 0.0, 0.0742, 0.0, 0.0142, 0.117, 0.0496, 0.004, 0.0121, 0.0002, 0.0682, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 33.0]), label=1.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 25.0]), label=8.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 29.0]), label=1.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 34.0]), label=4.0, probability=DenseVector([0.168, 0.396, 0.0, 0.0, 0.0916, 0.0, 0.0098, 0.1942, 0.0752, 0.0046, 0.0066, 0.0008, 0.0533, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 41.0]), label=12.0, probability=DenseVector([0.1191, 0.5078, 0.0008, 0.0106, 0.0341, 0.0009, 0.0414, 0.0713, 0.0463, 0.0143, 0.021, 0.0022, 0.13, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 36.0]), label=1.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 43.0]), label=12.0, probability=DenseVector([0.1124, 0.5126, 0.0008, 0.0094, 0.0264, 0.0009, 0.0391, 0.0762, 0.0472, 0.0131, 0.0206, 0.0022, 0.139, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 21.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 22.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 26.0]), label=12.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 28.0]), label=1.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 31.0]), label=1.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 35.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 37.0]), label=1.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 37.0]), label=1.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 39.0]), label=1.0, probability=DenseVector([0.2191, 0.4831, 0.0, 0.0001, 0.0814, 0.0, 0.0079, 0.0899, 0.0341, 0.0038, 0.0172, 0.0004, 0.063, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 33.0, 44.0]), label=1.0, probability=DenseVector([0.135, 0.4603, 0.0009, 0.0096, 0.034, 0.0009, 0.0441, 0.0885, 0.0559, 0.0159, 0.0309, 0.0024, 0.1217, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 26.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 31.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=10.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 35.0, 40.0]), label=0.0, probability=DenseVector([0.2664, 0.3383, 0.0002, 0.0028, 0.0892, 0.0, 0.0288, 0.0901, 0.0527, 0.0143, 0.0404, 0.0022, 0.0747, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.2664, 0.3383, 0.0002, 0.0028, 0.0892, 0.0, 0.0288, 0.0901, 0.0527, 0.0143, 0.0404, 0.0022, 0.0747, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.2664, 0.3383, 0.0002, 0.0028, 0.0892, 0.0, 0.0288, 0.0901, 0.0527, 0.0143, 0.0404, 0.0022, 0.0747, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 35.0, 47.0]), label=1.0, probability=DenseVector([0.1041, 0.4378, 0.001, 0.0126, 0.029, 0.0002, 0.0538, 0.11, 0.0681, 0.0234, 0.0225, 0.0046, 0.1331, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 28.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 29.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 30.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 30.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 27.0]), label=12.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 28.0]), label=4.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 29.0]), label=12.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=12.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.3498, 0.2545, 0.0002, 0.001, 0.1068, 0.0, 0.0247, 0.0857, 0.0545, 0.0184, 0.0646, 0.0019, 0.0382, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 37.0, 41.0]), label=1.0, probability=DenseVector([0.2399, 0.3626, 0.001, 0.0083, 0.0549, 0.0002, 0.0384, 0.091, 0.064, 0.0217, 0.0559, 0.0036, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 37.0, 41.0]), label=1.0, probability=DenseVector([0.2399, 0.3626, 0.001, 0.0083, 0.0549, 0.0002, 0.0384, 0.091, 0.064, 0.0217, 0.0559, 0.0036, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.209, 0.3817, 0.001, 0.0083, 0.0527, 0.0002, 0.0395, 0.0941, 0.0674, 0.0224, 0.0522, 0.0043, 0.0674, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 37.0, 48.0]), label=1.0, probability=DenseVector([0.1225, 0.3868, 0.0033, 0.0253, 0.0424, 0.0001, 0.0641, 0.1058, 0.0799, 0.0343, 0.0321, 0.0076, 0.0957, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.2456, 0.3502, 0.001, 0.0082, 0.0557, 0.0002, 0.039, 0.0916, 0.0662, 0.0228, 0.059, 0.0034, 0.0571, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.2456, 0.3502, 0.001, 0.0082, 0.0557, 0.0002, 0.039, 0.0916, 0.0662, 0.0228, 0.059, 0.0034, 0.0571, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.2147, 0.3693, 0.001, 0.0082, 0.0535, 0.0002, 0.04, 0.0947, 0.0696, 0.0235, 0.0552, 0.0041, 0.066, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.2506, 0.3547, 0.0008, 0.0045, 0.0584, 0.0002, 0.0375, 0.0896, 0.0621, 0.0242, 0.064, 0.0022, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 29.0]), label=4.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 32.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 32.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 41.0, 41.0]), label=4.0, probability=DenseVector([0.2506, 0.3547, 0.0008, 0.0045, 0.0584, 0.0002, 0.0375, 0.0896, 0.0621, 0.0242, 0.064, 0.0022, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 31.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 32.0]), label=1.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 36.0]), label=0.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 40.0]), label=4.0, probability=DenseVector([0.3233, 0.2251, 0.0002, 0.0009, 0.1086, 0.0, 0.035, 0.0922, 0.0646, 0.0237, 0.0859, 0.0017, 0.039, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 42.0, 44.0]), label=4.0, probability=DenseVector([0.1699, 0.3418, 0.0156, 0.0087, 0.0609, 0.0002, 0.0615, 0.0946, 0.0818, 0.0352, 0.0598, 0.0064, 0.0634, 0.0003]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 32.0]), label=10.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 35.0]), label=10.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 35.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 43.0, 41.0]), label=1.0, probability=DenseVector([0.1996, 0.2955, 0.0047, 0.0035, 0.0795, 0.0, 0.0674, 0.0986, 0.0718, 0.0435, 0.0862, 0.0028, 0.0471, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 43.0, 45.0]), label=4.0, probability=DenseVector([0.139, 0.2916, 0.0185, 0.0107, 0.0693, 0.0002, 0.1007, 0.0991, 0.0895, 0.0501, 0.0551, 0.0068, 0.0691, 0.0003]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 33.0]), label=10.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 36.0]), label=10.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 37.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 37.0]), label=1.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 29.0]), label=4.0, probability=DenseVector([0.3816, 0.108, 0.0, 0.0, 0.1524, 0.0, 0.0231, 0.1262, 0.1098, 0.0225, 0.042, 0.0001, 0.0343, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 31.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 33.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 45.0, 33.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 40.0]), label=4.0, probability=DenseVector([0.2558, 0.1221, 0.0016, 0.0001, 0.1412, 0.0, 0.118, 0.0538, 0.0629, 0.0477, 0.1561, 0.0012, 0.0395, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 48.0, 36.0]), label=4.0, probability=DenseVector([0.3332, 0.0736, 0.0002, 0.0, 0.1531, 0.0, 0.182, 0.0683, 0.0404, 0.0325, 0.0776, 0.0011, 0.0378, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 51.0, 35.0]), label=4.0, probability=DenseVector([0.3121, 0.05, 0.0002, 0.0, 0.1112, 0.0, 0.3321, 0.0576, 0.0384, 0.023, 0.0526, 0.0029, 0.0198, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 53.0, 42.0]), label=4.0, probability=DenseVector([0.1678, 0.0975, 0.0212, 0.0043, 0.101, 0.0, 0.3367, 0.0263, 0.0477, 0.0414, 0.1074, 0.0039, 0.0445, 0.0002]))
Row(prediction=6.0, features=DenseVector([11.0, 54.0, 33.0]), label=0.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 24.0, 33.0]), label=1.0, probability=DenseVector([0.1639, 0.3802, 0.0, 0.0, 0.0921, 0.0, 0.0117, 0.2045, 0.0815, 0.0046, 0.0066, 0.0008, 0.0541, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 24.0, 44.0]), label=12.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 25.0, 37.0]), label=1.0, probability=DenseVector([0.1629, 0.5096, 0.0, 0.0, 0.0716, 0.0, 0.0158, 0.1146, 0.0485, 0.0042, 0.0107, 0.0002, 0.062, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 25.0, 38.0]), label=1.0, probability=DenseVector([0.1619, 0.5579, 0.0, 0.0001, 0.0662, 0.0, 0.0183, 0.09, 0.0359, 0.0043, 0.0102, 0.0003, 0.055, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 27.0, 32.0]), label=1.0, probability=DenseVector([0.1626, 0.3623, 0.0, 0.0, 0.0979, 0.0, 0.0094, 0.2132, 0.0866, 0.0046, 0.0063, 0.0005, 0.0566, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 28.0]), label=1.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 38.0]), label=1.0, probability=DenseVector([0.1835, 0.5144, 0.0, 0.0, 0.0693, 0.0, 0.0143, 0.0921, 0.0372, 0.0041, 0.0134, 0.0004, 0.0714, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 40.0]), label=12.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 37.0]), label=1.0, probability=DenseVector([0.1744, 0.486, 0.0, 0.0, 0.0742, 0.0, 0.0142, 0.117, 0.0496, 0.004, 0.0121, 0.0002, 0.0682, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 42.0]), label=12.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 35.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 36.0]), label=1.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 38.0]), label=1.0, probability=DenseVector([0.2304, 0.4535, 0.0, 0.0001, 0.0915, 0.0, 0.0081, 0.0941, 0.0359, 0.0039, 0.0173, 0.0004, 0.0649, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 39.0]), label=12.0, probability=DenseVector([0.2191, 0.4831, 0.0, 0.0001, 0.0814, 0.0, 0.0079, 0.0899, 0.0341, 0.0038, 0.0172, 0.0004, 0.063, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 39.0]), label=1.0, probability=DenseVector([0.2191, 0.4831, 0.0, 0.0001, 0.0814, 0.0, 0.0079, 0.0899, 0.0341, 0.0038, 0.0172, 0.0004, 0.063, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 29.0]), label=7.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 29.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 29.0]), label=1.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 33.0]), label=4.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 37.0]), label=1.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 37.0]), label=1.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 38.0]), label=1.0, probability=DenseVector([0.2304, 0.4535, 0.0, 0.0001, 0.0915, 0.0, 0.0081, 0.0941, 0.0359, 0.0039, 0.0173, 0.0004, 0.0649, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 38.0]), label=1.0, probability=DenseVector([0.2304, 0.4535, 0.0, 0.0001, 0.0915, 0.0, 0.0081, 0.0941, 0.0359, 0.0039, 0.0173, 0.0004, 0.0649, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 39.0]), label=4.0, probability=DenseVector([0.2191, 0.4831, 0.0, 0.0001, 0.0814, 0.0, 0.0079, 0.0899, 0.0341, 0.0038, 0.0172, 0.0004, 0.063, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 27.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 32.0, 40.0]), label=0.0, probability=DenseVector([0.2, 0.4265, 0.0001, 0.0035, 0.0724, 0.0, 0.0262, 0.0851, 0.0568, 0.0126, 0.0275, 0.002, 0.0872, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 32.0, 46.0]), label=12.0, probability=DenseVector([0.0944, 0.4725, 0.0012, 0.0123, 0.0263, 0.0009, 0.0533, 0.0976, 0.0679, 0.0219, 0.018, 0.0036, 0.13, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 22.0]), label=8.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 27.0]), label=12.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 28.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 33.0, 47.0]), label=1.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 26.0]), label=4.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 29.0]), label=0.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=12.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 39.0]), label=8.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 34.0, 40.0]), label=4.0, probability=DenseVector([0.2072, 0.4019, 0.0001, 0.0035, 0.0774, 0.0, 0.0261, 0.0904, 0.0611, 0.0137, 0.03, 0.0021, 0.0864, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 34.0, 41.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 34.0, 44.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 25.0]), label=12.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 27.0]), label=12.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 29.0]), label=4.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=12.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=12.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.22, 0.3838, 0.0002, 0.0029, 0.0828, 0.0, 0.0242, 0.0979, 0.0674, 0.0162, 0.032, 0.0025, 0.0702, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 35.0, 42.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 26.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 36.0, 43.0]), label=1.0, probability=DenseVector([0.1543, 0.4475, 0.0012, 0.009, 0.0414, 0.0002, 0.0375, 0.1022, 0.0765, 0.0216, 0.0327, 0.0039, 0.072, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 28.0]), label=0.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 29.0]), label=4.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 30.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=8.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=12.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=10.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=12.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 28.0]), label=0.0, probability=DenseVector([0.4299, 0.1132, 0.0, 0.0, 0.1681, 0.0, 0.0111, 0.1094, 0.0773, 0.0226, 0.0408, 0.0001, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 29.0]), label=1.0, probability=DenseVector([0.4299, 0.1132, 0.0, 0.0, 0.1681, 0.0, 0.0111, 0.1094, 0.0773, 0.0226, 0.0408, 0.0001, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 30.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 30.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=12.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=10.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 38.0, 40.0]), label=12.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 38.0, 40.0]), label=1.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 38.0, 40.0]), label=1.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 29.0]), label=1.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 30.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=12.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 29.0]), label=12.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 40.0, 41.0]), label=8.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 30.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 41.0, 40.0]), label=12.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 41.0, 42.0]), label=4.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 30.0]), label=1.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 32.0]), label=12.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=1.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 38.0]), label=4.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.1856, 0.3827, 0.0016, 0.0019, 0.0599, 0.0, 0.0487, 0.0962, 0.0715, 0.029, 0.0658, 0.0026, 0.0547, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 42.0, 43.0]), label=12.0, probability=DenseVector([0.1856, 0.3827, 0.0016, 0.0019, 0.0599, 0.0, 0.0487, 0.0962, 0.0715, 0.029, 0.0658, 0.0026, 0.0547, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 33.0]), label=1.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 35.0]), label=0.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 37.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 39.0]), label=12.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 39.0]), label=4.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 34.0]), label=1.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 45.0, 30.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 45.0, 36.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 53.0, 36.0]), label=4.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 54.0, 34.0]), label=4.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 19.0, 39.0]), label=1.0, probability=DenseVector([0.1619, 0.5579, 0.0, 0.0001, 0.0662, 0.0, 0.0183, 0.09, 0.0359, 0.0043, 0.0102, 0.0003, 0.055, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 19.0, 40.0]), label=1.0, probability=DenseVector([0.0868, 0.6065, 0.0001, 0.0033, 0.0273, 0.0, 0.0325, 0.0788, 0.0443, 0.0066, 0.014, 0.0015, 0.0985, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 24.0, 38.0]), label=1.0, probability=DenseVector([0.1619, 0.5579, 0.0, 0.0001, 0.0662, 0.0, 0.0183, 0.09, 0.0359, 0.0043, 0.0102, 0.0003, 0.055, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 25.0, 27.0]), label=1.0, probability=DenseVector([0.1453, 0.3485, 0.0, 0.0, 0.0886, 0.0, 0.0163, 0.2053, 0.1227, 0.0049, 0.005, 0.0004, 0.0629, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 25.0, 30.0]), label=1.0, probability=DenseVector([0.1604, 0.3609, 0.0, 0.0, 0.1086, 0.0, 0.0163, 0.2046, 0.084, 0.0046, 0.0076, 0.0009, 0.0521, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 25.0, 34.0]), label=1.0, probability=DenseVector([0.1636, 0.3953, 0.0, 0.0, 0.1035, 0.0, 0.0162, 0.1803, 0.0762, 0.0046, 0.008, 0.0019, 0.0504, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 26.0, 34.0]), label=1.0, probability=DenseVector([0.1636, 0.3953, 0.0, 0.0, 0.1035, 0.0, 0.0162, 0.1803, 0.0762, 0.0046, 0.008, 0.0019, 0.0504, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 27.0, 38.0]), label=1.0, probability=DenseVector([0.1835, 0.5144, 0.0, 0.0, 0.0693, 0.0, 0.0143, 0.0921, 0.0372, 0.0041, 0.0134, 0.0004, 0.0714, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 27.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 24.0]), label=1.0, probability=DenseVector([0.1535, 0.3524, 0.0, 0.0, 0.0935, 0.0, 0.0113, 0.1897, 0.1238, 0.0051, 0.0051, 0.0004, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 26.0]), label=7.0, probability=DenseVector([0.1535, 0.3524, 0.0, 0.0, 0.0935, 0.0, 0.0113, 0.1897, 0.1238, 0.0051, 0.0051, 0.0004, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 33.0]), label=1.0, probability=DenseVector([0.1852, 0.3501, 0.0, 0.0, 0.1219, 0.0, 0.0101, 0.1818, 0.0833, 0.0046, 0.0088, 0.0012, 0.053, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 39.0]), label=1.0, probability=DenseVector([0.1835, 0.5144, 0.0, 0.0, 0.0693, 0.0, 0.0143, 0.0921, 0.0372, 0.0041, 0.0134, 0.0004, 0.0714, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 40.0]), label=1.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 40.0]), label=1.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 40.0]), label=1.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 40.0]), label=1.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 40.0]), label=1.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 39.0]), label=12.0, probability=DenseVector([0.1835, 0.5144, 0.0, 0.0, 0.0693, 0.0, 0.0143, 0.0921, 0.0372, 0.0041, 0.0134, 0.0004, 0.0714, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 39.0]), label=1.0, probability=DenseVector([0.1835, 0.5144, 0.0, 0.0, 0.0693, 0.0, 0.0143, 0.0921, 0.0372, 0.0041, 0.0134, 0.0004, 0.0714, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 40.0]), label=1.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 40.0]), label=1.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 40.0]), label=1.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 40.0]), label=1.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 42.0]), label=12.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 42.0]), label=12.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 46.0]), label=1.0, probability=DenseVector([0.0885, 0.4607, 0.0009, 0.0118, 0.023, 0.0009, 0.068, 0.0916, 0.0767, 0.0162, 0.0161, 0.005, 0.1406, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 22.0]), label=8.0, probability=DenseVector([0.197, 0.2775, 0.0, 0.0001, 0.1163, 0.0, 0.0064, 0.1714, 0.1636, 0.0027, 0.0083, 0.0003, 0.0563, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 31.0]), label=0.0, probability=DenseVector([0.2775, 0.2643, 0.0, 0.0002, 0.1805, 0.0, 0.004, 0.1379, 0.0732, 0.0041, 0.0139, 0.0003, 0.0442, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 32.0]), label=4.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 33.0]), label=4.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 35.0]), label=1.0, probability=DenseVector([0.3001, 0.2609, 0.0, 0.0002, 0.1724, 0.0, 0.0038, 0.1302, 0.0661, 0.0041, 0.0174, 0.0003, 0.0446, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 37.0]), label=0.0, probability=DenseVector([0.2533, 0.3887, 0.0, 0.0002, 0.1121, 0.0, 0.0065, 0.1135, 0.0468, 0.0039, 0.0188, 0.0002, 0.0559, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 38.0]), label=1.0, probability=DenseVector([0.2376, 0.4466, 0.0, 0.0001, 0.0992, 0.0, 0.008, 0.0887, 0.0338, 0.004, 0.0181, 0.0004, 0.0636, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 39.0]), label=1.0, probability=DenseVector([0.2263, 0.4762, 0.0, 0.0001, 0.0891, 0.0, 0.0078, 0.0845, 0.032, 0.004, 0.0181, 0.0004, 0.0617, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 39.0]), label=4.0, probability=DenseVector([0.2263, 0.4762, 0.0, 0.0001, 0.0891, 0.0, 0.0078, 0.0845, 0.032, 0.004, 0.0181, 0.0004, 0.0617, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 39.0]), label=1.0, probability=DenseVector([0.2263, 0.4762, 0.0, 0.0001, 0.0891, 0.0, 0.0078, 0.0845, 0.032, 0.004, 0.0181, 0.0004, 0.0617, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 39.0]), label=1.0, probability=DenseVector([0.2263, 0.4762, 0.0, 0.0001, 0.0891, 0.0, 0.0078, 0.0845, 0.032, 0.004, 0.0181, 0.0004, 0.0617, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 39.0]), label=1.0, probability=DenseVector([0.2263, 0.4762, 0.0, 0.0001, 0.0891, 0.0, 0.0078, 0.0845, 0.032, 0.004, 0.0181, 0.0004, 0.0617, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 27.0]), label=12.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 40.0]), label=1.0, probability=DenseVector([0.2, 0.4265, 0.0001, 0.0035, 0.0724, 0.0, 0.0262, 0.0851, 0.0568, 0.0126, 0.0275, 0.002, 0.0872, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 41.0]), label=12.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 28.0]), label=0.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 30.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 30.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 31.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=10.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 28.0]), label=1.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 34.0, 42.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 34.0, 44.0]), label=12.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 34.0, 45.0]), label=12.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 29.0]), label=12.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 29.0]), label=12.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 30.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.22, 0.3838, 0.0002, 0.0029, 0.0828, 0.0, 0.0242, 0.0979, 0.0674, 0.0162, 0.032, 0.0025, 0.0702, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.22, 0.3838, 0.0002, 0.0029, 0.0828, 0.0, 0.0242, 0.0979, 0.0674, 0.0162, 0.032, 0.0025, 0.0702, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.22, 0.3838, 0.0002, 0.0029, 0.0828, 0.0, 0.0242, 0.0979, 0.0674, 0.0162, 0.032, 0.0025, 0.0702, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.22, 0.3838, 0.0002, 0.0029, 0.0828, 0.0, 0.0242, 0.0979, 0.0674, 0.0162, 0.032, 0.0025, 0.0702, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.22, 0.3838, 0.0002, 0.0029, 0.0828, 0.0, 0.0242, 0.0979, 0.0674, 0.0162, 0.032, 0.0025, 0.0702, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=12.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=10.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 41.0]), label=0.0, probability=DenseVector([0.1543, 0.4475, 0.0012, 0.009, 0.0414, 0.0002, 0.0375, 0.1022, 0.0765, 0.0216, 0.0327, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.1543, 0.4475, 0.0012, 0.009, 0.0414, 0.0002, 0.0375, 0.1022, 0.0765, 0.0216, 0.0327, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 42.0]), label=1.0, probability=DenseVector([0.1543, 0.4475, 0.0012, 0.009, 0.0414, 0.0002, 0.0375, 0.1022, 0.0765, 0.0216, 0.0327, 0.0039, 0.072, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 28.0]), label=4.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 29.0]), label=4.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 30.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 30.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=12.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=10.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=8.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=12.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 41.0]), label=1.0, probability=DenseVector([0.1653, 0.4349, 0.0012, 0.0085, 0.0448, 0.0002, 0.0359, 0.1035, 0.0782, 0.0224, 0.0354, 0.004, 0.0657, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=12.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 40.0]), label=4.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 40.0]), label=1.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 18.0]), label=4.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=12.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=12.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=12.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=12.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 28.0]), label=12.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 30.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=8.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 39.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.2631, 0.3062, 0.0002, 0.001, 0.0958, 0.0, 0.0208, 0.114, 0.0803, 0.0212, 0.0514, 0.002, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 41.0]), label=12.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 41.0]), label=10.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 42.0]), label=0.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 50.0]), label=12.0, probability=DenseVector([0.1135, 0.3824, 0.0049, 0.0233, 0.033, 0.0001, 0.0651, 0.1145, 0.0944, 0.047, 0.0234, 0.0068, 0.0918, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 25.0]), label=1.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 29.0]), label=12.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 30.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 31.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 31.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 31.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 31.0]), label=0.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 34.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 41.0, 42.0]), label=4.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 33.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 33.0]), label=1.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 34.0]), label=1.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=8.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 37.0]), label=1.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 39.0]), label=12.0, probability=DenseVector([0.3991, 0.1241, 0.0003, 0.0002, 0.1623, 0.0, 0.0207, 0.1102, 0.0753, 0.029, 0.0515, 0.0006, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.3991, 0.1241, 0.0003, 0.0002, 0.1623, 0.0, 0.0207, 0.1102, 0.0753, 0.029, 0.0515, 0.0006, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 39.0]), label=1.0, probability=DenseVector([0.3991, 0.1241, 0.0003, 0.0002, 0.1623, 0.0, 0.0207, 0.1102, 0.0753, 0.029, 0.0515, 0.0006, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 32.0]), label=12.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 35.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 38.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 43.0, 41.0]), label=0.0, probability=DenseVector([0.174, 0.3352, 0.0053, 0.0038, 0.0644, 0.0, 0.0653, 0.1084, 0.0784, 0.0451, 0.0659, 0.0033, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 43.0, 43.0]), label=4.0, probability=DenseVector([0.174, 0.3352, 0.0053, 0.0038, 0.0644, 0.0, 0.0653, 0.1084, 0.0784, 0.0451, 0.0659, 0.0033, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 28.0]), label=0.0, probability=DenseVector([0.3826, 0.1076, 0.0, 0.0, 0.1519, 0.0, 0.0232, 0.1266, 0.1079, 0.0225, 0.042, 0.0001, 0.0357, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 35.0]), label=10.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 38.0]), label=12.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 44.0, 42.0]), label=4.0, probability=DenseVector([0.1737, 0.2863, 0.0058, 0.0031, 0.0773, 0.0, 0.0862, 0.0956, 0.0757, 0.0656, 0.0787, 0.0032, 0.0488, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 29.0]), label=4.0, probability=DenseVector([0.3826, 0.1076, 0.0, 0.0, 0.1519, 0.0, 0.0232, 0.1266, 0.1079, 0.0225, 0.042, 0.0001, 0.0357, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 36.0]), label=1.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 38.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 45.0, 41.0]), label=1.0, probability=DenseVector([0.1748, 0.2555, 0.0068, 0.0031, 0.0853, 0.0, 0.1028, 0.09, 0.0755, 0.0692, 0.0844, 0.0033, 0.0493, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 47.0, 35.0]), label=1.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 48.0, 34.0]), label=4.0, probability=DenseVector([0.3277, 0.0678, 0.0002, 0.0, 0.1505, 0.0, 0.1933, 0.07, 0.0438, 0.0317, 0.0751, 0.0015, 0.0383, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 49.0, 41.0]), label=1.0, probability=DenseVector([0.1883, 0.1142, 0.0223, 0.0046, 0.1098, 0.0, 0.2927, 0.0324, 0.051, 0.0429, 0.0933, 0.004, 0.0443, 0.0002]))
Row(prediction=6.0, features=DenseVector([13.0, 50.0, 40.0]), label=4.0, probability=DenseVector([0.2356, 0.0757, 0.0028, 0.0002, 0.1219, 0.0, 0.3241, 0.0297, 0.0423, 0.033, 0.0947, 0.003, 0.0369, 0.0]))
Row(prediction=6.0, features=DenseVector([13.0, 56.0, 34.0]), label=10.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 19.0, 43.0]), label=1.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 25.0, 34.0]), label=1.0, probability=DenseVector([0.2158, 0.3854, 0.0, 0.0, 0.1257, 0.0, 0.0225, 0.1297, 0.0581, 0.003, 0.0209, 0.0017, 0.0373, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 25.0, 36.0]), label=1.0, probability=DenseVector([0.214, 0.4184, 0.0, 0.0, 0.1215, 0.0, 0.0249, 0.0962, 0.0517, 0.0029, 0.0247, 0.0014, 0.0444, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 25.0, 40.0]), label=1.0, probability=DenseVector([0.0825, 0.6155, 0.0001, 0.0033, 0.0277, 0.0, 0.0339, 0.0736, 0.0426, 0.0071, 0.0144, 0.0015, 0.0977, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 26.0, 39.0]), label=12.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 26.0, 39.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 27.0, 38.0]), label=1.0, probability=DenseVector([0.2232, 0.4648, 0.0, 0.0, 0.0938, 0.0, 0.0207, 0.0668, 0.0372, 0.0033, 0.0246, 0.0001, 0.0656, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 27.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 27.0, 46.0]), label=1.0, probability=DenseVector([0.0877, 0.4743, 0.0009, 0.0121, 0.023, 0.0009, 0.0579, 0.0894, 0.0764, 0.0165, 0.0168, 0.0029, 0.1411, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 24.0]), label=1.0, probability=DenseVector([0.2131, 0.3377, 0.0, 0.0, 0.1201, 0.0, 0.0167, 0.1388, 0.1033, 0.005, 0.019, 0.0002, 0.0462, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 36.0]), label=12.0, probability=DenseVector([0.2345, 0.3909, 0.0, 0.0, 0.1273, 0.0, 0.0243, 0.0926, 0.0527, 0.0029, 0.028, 0.0007, 0.0462, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 40.0]), label=1.0, probability=DenseVector([0.1041, 0.572, 0.0001, 0.0032, 0.0308, 0.0, 0.0299, 0.0757, 0.0439, 0.0069, 0.0176, 0.0016, 0.1141, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 43.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 46.0]), label=12.0, probability=DenseVector([0.0877, 0.4743, 0.0009, 0.0121, 0.023, 0.0009, 0.0579, 0.0894, 0.0764, 0.0165, 0.0168, 0.0029, 0.1411, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 27.0]), label=4.0, probability=DenseVector([0.2131, 0.3377, 0.0, 0.0, 0.1201, 0.0, 0.0167, 0.1388, 0.1033, 0.005, 0.019, 0.0002, 0.0462, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 38.0]), label=1.0, probability=DenseVector([0.2232, 0.4648, 0.0, 0.0, 0.0938, 0.0, 0.0207, 0.0668, 0.0372, 0.0033, 0.0246, 0.0001, 0.0656, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 39.0]), label=1.0, probability=DenseVector([0.2232, 0.4648, 0.0, 0.0, 0.0938, 0.0, 0.0207, 0.0668, 0.0372, 0.0033, 0.0246, 0.0001, 0.0656, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 27.0]), label=12.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 22.0]), label=8.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 31.0]), label=8.0, probability=DenseVector([0.4431, 0.1221, 0.0, 0.0, 0.2616, 0.0, 0.0043, 0.064, 0.0431, 0.0018, 0.0422, 0.0001, 0.0178, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 35.0]), label=4.0, probability=DenseVector([0.4657, 0.1187, 0.0, 0.0, 0.2535, 0.0, 0.0041, 0.0564, 0.036, 0.0018, 0.0457, 0.0001, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 37.0]), label=4.0, probability=DenseVector([0.4154, 0.2296, 0.0, 0.0, 0.1966, 0.0, 0.0068, 0.0481, 0.0237, 0.0021, 0.0463, 0.0001, 0.0313, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 40.0]), label=1.0, probability=DenseVector([0.1441, 0.547, 0.0001, 0.0032, 0.0509, 0.0, 0.0244, 0.0603, 0.0337, 0.0063, 0.0257, 0.0016, 0.1027, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 43.0]), label=12.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 43.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0563, 0.4098, 0.0029, 0.0538, 0.0128, 0.0006, 0.0799, 0.1041, 0.0769, 0.0184, 0.0084, 0.0084, 0.1675, 0.0001]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 32.0, 42.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 32.0, 42.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 32.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 24.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 27.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 27.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 30.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 33.0, 40.0]), label=1.0, probability=DenseVector([0.2207, 0.3892, 0.0001, 0.0035, 0.084, 0.0, 0.0261, 0.0841, 0.0584, 0.0122, 0.0344, 0.0021, 0.0853, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 33.0, 41.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 33.0, 41.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 33.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 33.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 27.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 34.0, 40.0]), label=1.0, probability=DenseVector([0.2207, 0.3892, 0.0001, 0.0035, 0.084, 0.0, 0.0261, 0.0841, 0.0584, 0.0122, 0.0344, 0.0021, 0.0853, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 34.0, 40.0]), label=1.0, probability=DenseVector([0.2207, 0.3892, 0.0001, 0.0035, 0.084, 0.0, 0.0261, 0.0841, 0.0584, 0.0122, 0.0344, 0.0021, 0.0853, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 34.0, 41.0]), label=0.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 34.0, 42.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 25.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 28.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 28.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 40.0]), label=4.0, probability=DenseVector([0.2334, 0.3711, 0.0002, 0.0029, 0.0894, 0.0, 0.0242, 0.0915, 0.0647, 0.0146, 0.0363, 0.0025, 0.0691, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.2334, 0.3711, 0.0002, 0.0029, 0.0894, 0.0, 0.0242, 0.0915, 0.0647, 0.0146, 0.0363, 0.0025, 0.0691, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 42.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 42.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 43.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 24.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 30.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2553, 0.3399, 0.0002, 0.0016, 0.1023, 0.0, 0.0207, 0.1002, 0.0706, 0.0155, 0.0437, 0.0024, 0.0475, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2553, 0.3399, 0.0002, 0.0016, 0.1023, 0.0, 0.0207, 0.1002, 0.0706, 0.0155, 0.0437, 0.0024, 0.0475, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2553, 0.3399, 0.0002, 0.0016, 0.1023, 0.0, 0.0207, 0.1002, 0.0706, 0.0155, 0.0437, 0.0024, 0.0475, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2553, 0.3399, 0.0002, 0.0016, 0.1023, 0.0, 0.0207, 0.1002, 0.0706, 0.0155, 0.0437, 0.0024, 0.0475, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.142, 0.4636, 0.0012, 0.009, 0.0389, 0.0002, 0.0357, 0.1054, 0.0784, 0.0214, 0.0275, 0.0039, 0.0728, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.142, 0.4636, 0.0012, 0.009, 0.0389, 0.0002, 0.0357, 0.1054, 0.0784, 0.0214, 0.0275, 0.0039, 0.0728, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 42.0]), label=1.0, probability=DenseVector([0.142, 0.4636, 0.0012, 0.009, 0.0389, 0.0002, 0.0357, 0.1054, 0.0784, 0.0214, 0.0275, 0.0039, 0.0728, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 40.0]), label=4.0, probability=DenseVector([0.2664, 0.3273, 0.0002, 0.0012, 0.1057, 0.0, 0.0192, 0.1014, 0.0723, 0.0164, 0.0464, 0.0024, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.2664, 0.3273, 0.0002, 0.0012, 0.1057, 0.0, 0.0192, 0.1014, 0.0723, 0.0164, 0.0464, 0.0024, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.2664, 0.3273, 0.0002, 0.0012, 0.1057, 0.0, 0.0192, 0.1014, 0.0723, 0.0164, 0.0464, 0.0024, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 41.0]), label=7.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 41.0]), label=0.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 41.0]), label=0.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 42.0]), label=0.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 42.0]), label=0.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 27.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 40.0]), label=0.0, probability=DenseVector([0.2726, 0.3043, 0.0002, 0.001, 0.1034, 0.0, 0.0201, 0.1078, 0.0772, 0.0182, 0.0522, 0.002, 0.0409, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 40.0]), label=4.0, probability=DenseVector([0.2726, 0.3043, 0.0002, 0.001, 0.1034, 0.0, 0.0201, 0.1078, 0.0772, 0.0182, 0.0522, 0.002, 0.0409, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 41.0]), label=10.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 41.0]), label=0.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 41.0]), label=4.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 42.0]), label=0.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 43.0]), label=4.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 48.0]), label=12.0, probability=DenseVector([0.1076, 0.4006, 0.0034, 0.0258, 0.0309, 0.0001, 0.0609, 0.1157, 0.0908, 0.0376, 0.022, 0.0065, 0.0982, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 29.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 31.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.2694, 0.3026, 0.0002, 0.001, 0.1018, 0.0, 0.0203, 0.11, 0.079, 0.0184, 0.054, 0.002, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 29.0]), label=12.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 29.0]), label=4.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 29.0]), label=1.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 39.0]), label=4.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 39.0]), label=10.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 39.0]), label=4.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=4.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 41.0]), label=4.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 42.0]), label=4.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 47.0]), label=1.0, probability=DenseVector([0.1182, 0.3939, 0.003, 0.0075, 0.0344, 0.0002, 0.0669, 0.1135, 0.0935, 0.0471, 0.0244, 0.0054, 0.092, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 31.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 31.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 32.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 39.0]), label=4.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 46.0]), label=1.0, probability=DenseVector([0.1345, 0.4155, 0.0025, 0.0067, 0.0401, 0.0002, 0.0518, 0.1114, 0.0898, 0.0374, 0.0288, 0.0044, 0.0769, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 29.0]), label=8.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 32.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 38.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 38.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 39.0]), label=4.0, probability=DenseVector([0.423, 0.0955, 0.0003, 0.0002, 0.1914, 0.0, 0.0262, 0.0823, 0.0626, 0.0202, 0.0736, 0.0006, 0.0241, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 42.0, 40.0]), label=1.0, probability=DenseVector([0.2474, 0.2865, 0.0004, 0.0011, 0.1013, 0.0, 0.0305, 0.114, 0.0823, 0.0242, 0.0666, 0.0023, 0.0433, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 29.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 33.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 34.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 34.0]), label=1.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 37.0]), label=1.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 38.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 44.0]), label=1.0, probability=DenseVector([0.1523, 0.3207, 0.0191, 0.011, 0.0553, 0.0002, 0.0698, 0.111, 0.0939, 0.0517, 0.0492, 0.0064, 0.059, 0.0003]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 45.0]), label=1.0, probability=DenseVector([0.1403, 0.3261, 0.0191, 0.011, 0.0543, 0.0002, 0.0744, 0.1096, 0.0935, 0.0531, 0.0469, 0.0067, 0.0645, 0.0003]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 46.0]), label=12.0, probability=DenseVector([0.1349, 0.3221, 0.0193, 0.0117, 0.0531, 0.0002, 0.0768, 0.1115, 0.0943, 0.0548, 0.0449, 0.0071, 0.069, 0.0003]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 28.0]), label=4.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 35.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 37.0]), label=12.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 40.0]), label=4.0, probability=DenseVector([0.244, 0.2176, 0.0018, 0.0006, 0.1153, 0.0, 0.0633, 0.0994, 0.0765, 0.055, 0.0852, 0.0026, 0.0386, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 44.0, 41.0]), label=12.0, probability=DenseVector([0.1737, 0.2863, 0.0058, 0.0031, 0.0773, 0.0, 0.0862, 0.0956, 0.0757, 0.0656, 0.0787, 0.0032, 0.0488, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 29.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 31.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 33.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 33.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 35.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 38.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 45.0, 41.0]), label=4.0, probability=DenseVector([0.1748, 0.2555, 0.0068, 0.0031, 0.0853, 0.0, 0.1028, 0.09, 0.0755, 0.0692, 0.0844, 0.0033, 0.0493, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 46.0, 36.0]), label=0.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 46.0, 41.0]), label=4.0, probability=DenseVector([0.1801, 0.2424, 0.0082, 0.003, 0.0851, 0.0, 0.1181, 0.0818, 0.0774, 0.0676, 0.0829, 0.0031, 0.0503, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 46.0, 41.0]), label=4.0, probability=DenseVector([0.1801, 0.2424, 0.0082, 0.003, 0.0851, 0.0, 0.1181, 0.0818, 0.0774, 0.0676, 0.0829, 0.0031, 0.0503, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 46.0, 45.0]), label=4.0, probability=DenseVector([0.1568, 0.2171, 0.0416, 0.0142, 0.0768, 0.0002, 0.1165, 0.0846, 0.0874, 0.0727, 0.0735, 0.0078, 0.0504, 0.0004]))
Row(prediction=0.0, features=DenseVector([14.0, 47.0, 32.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 47.0, 36.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 47.0, 36.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 47.0, 43.0]), label=4.0, probability=DenseVector([0.1665, 0.1702, 0.0299, 0.0087, 0.0971, 0.0, 0.2033, 0.0506, 0.067, 0.0654, 0.0893, 0.004, 0.047, 0.0011]))
Row(prediction=0.0, features=DenseVector([14.0, 48.0, 34.0]), label=1.0, probability=DenseVector([0.3173, 0.0591, 0.0002, 0.0, 0.1494, 0.0, 0.2402, 0.0532, 0.035, 0.0298, 0.0756, 0.0015, 0.0387, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 49.0, 39.0]), label=12.0, probability=DenseVector([0.2843, 0.0668, 0.0002, 0.0, 0.1458, 0.0, 0.254, 0.0515, 0.0355, 0.0399, 0.0844, 0.0016, 0.036, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 49.0, 50.0]), label=4.0, probability=DenseVector([0.1279, 0.1314, 0.0405, 0.0178, 0.1054, 0.0002, 0.2238, 0.0351, 0.0901, 0.0541, 0.109, 0.0156, 0.0486, 0.0004]))
Row(prediction=6.0, features=DenseVector([14.0, 51.0, 41.0]), label=4.0, probability=DenseVector([0.1883, 0.1142, 0.0223, 0.0046, 0.1098, 0.0, 0.2927, 0.0324, 0.051, 0.0429, 0.0933, 0.004, 0.0443, 0.0002]))
Row(prediction=6.0, features=DenseVector([14.0, 52.0, 29.0]), label=4.0, probability=DenseVector([0.2712, 0.0359, 0.0002, 0.0, 0.092, 0.0, 0.4293, 0.0458, 0.0398, 0.017, 0.0453, 0.0033, 0.0202, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 57.0, 40.0]), label=4.0, probability=DenseVector([0.2357, 0.0737, 0.0028, 0.0002, 0.115, 0.0, 0.3422, 0.0274, 0.041, 0.0317, 0.0914, 0.0036, 0.0352, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 18.0, 35.0]), label=1.0, probability=DenseVector([0.2161, 0.4023, 0.0, 0.0, 0.1227, 0.0, 0.0238, 0.118, 0.0533, 0.0029, 0.0215, 0.0017, 0.0377, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 19.0, 32.0]), label=1.0, probability=DenseVector([0.208, 0.387, 0.0, 0.0, 0.1211, 0.0, 0.0241, 0.1214, 0.069, 0.003, 0.0204, 0.0007, 0.0454, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 20.0, 51.0]), label=12.0, probability=DenseVector([0.0553, 0.4888, 0.0025, 0.0285, 0.0121, 0.0001, 0.0587, 0.0861, 0.0619, 0.0178, 0.0099, 0.0041, 0.1741, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 22.0, 33.0]), label=1.0, probability=DenseVector([0.2168, 0.3588, 0.0, 0.0, 0.127, 0.0, 0.023, 0.1479, 0.064, 0.003, 0.0209, 0.001, 0.0377, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 22.0, 37.0]), label=1.0, probability=DenseVector([0.2049, 0.4946, 0.0, 0.0, 0.0953, 0.0, 0.0265, 0.0627, 0.0358, 0.003, 0.0247, 0.0, 0.0525, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 22.0, 39.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 25.0, 36.0]), label=1.0, probability=DenseVector([0.214, 0.4184, 0.0, 0.0, 0.1215, 0.0, 0.0249, 0.0962, 0.0517, 0.0029, 0.0247, 0.0014, 0.0444, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 25.0, 39.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 26.0, 35.0]), label=1.0, probability=DenseVector([0.2161, 0.4023, 0.0, 0.0, 0.1227, 0.0, 0.0238, 0.118, 0.0533, 0.0029, 0.0215, 0.0017, 0.0377, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 26.0, 37.0]), label=1.0, probability=DenseVector([0.2049, 0.4946, 0.0, 0.0, 0.0953, 0.0, 0.0265, 0.0627, 0.0358, 0.003, 0.0247, 0.0, 0.0525, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 26.0, 41.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 27.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 29.0, 36.0]), label=4.0, probability=DenseVector([0.2345, 0.3909, 0.0, 0.0, 0.1273, 0.0, 0.0243, 0.0926, 0.0527, 0.0029, 0.028, 0.0007, 0.0462, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 29.0, 38.0]), label=1.0, probability=DenseVector([0.2232, 0.4648, 0.0, 0.0, 0.0938, 0.0, 0.0207, 0.0668, 0.0372, 0.0033, 0.0246, 0.0001, 0.0656, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 29.0, 45.0]), label=12.0, probability=DenseVector([0.1039, 0.4994, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0728, 0.0521, 0.0143, 0.019, 0.0032, 0.1598, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 29.0, 45.0]), label=12.0, probability=DenseVector([0.1039, 0.4994, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0728, 0.0521, 0.0143, 0.019, 0.0032, 0.1598, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 28.0]), label=1.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 30.0, 40.0]), label=1.0, probability=DenseVector([0.1441, 0.547, 0.0001, 0.0032, 0.0509, 0.0, 0.0244, 0.0603, 0.0337, 0.0063, 0.0257, 0.0016, 0.1027, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 30.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 30.0, 45.0]), label=12.0, probability=DenseVector([0.1091, 0.5023, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0702, 0.0534, 0.0143, 0.019, 0.0032, 0.153, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 31.0, 33.0]), label=10.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 31.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 31.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 31.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 31.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 32.0, 42.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 32.0, 44.0]), label=12.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 32.0, 47.0]), label=12.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 32.0, 51.0]), label=1.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 25.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 29.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 39.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 33.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 33.0, 45.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 33.0, 47.0]), label=7.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 33.0, 51.0]), label=12.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 28.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 29.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 30.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 31.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 40.0]), label=1.0, probability=DenseVector([0.2207, 0.3892, 0.0001, 0.0035, 0.084, 0.0, 0.0261, 0.0841, 0.0584, 0.0122, 0.0344, 0.0021, 0.0853, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 42.0]), label=12.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 43.0]), label=7.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 43.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 45.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 45.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 46.0]), label=7.0, probability=DenseVector([0.0978, 0.4688, 0.0011, 0.0131, 0.0263, 0.0002, 0.051, 0.1024, 0.0704, 0.0197, 0.0182, 0.0046, 0.1265, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 46.0]), label=1.0, probability=DenseVector([0.0978, 0.4688, 0.0011, 0.0131, 0.0263, 0.0002, 0.051, 0.1024, 0.0704, 0.0197, 0.0182, 0.0046, 0.1265, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.2309, 0.3694, 0.0003, 0.003, 0.0874, 0.0, 0.025, 0.0936, 0.0674, 0.0158, 0.0365, 0.0025, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.2309, 0.3694, 0.0003, 0.003, 0.0874, 0.0, 0.025, 0.0936, 0.0674, 0.0158, 0.0365, 0.0025, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 41.0]), label=0.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 43.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 44.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 40.0]), label=0.0, probability=DenseVector([0.2528, 0.3382, 0.0003, 0.0017, 0.1003, 0.0, 0.0215, 0.1022, 0.0733, 0.0168, 0.0438, 0.0024, 0.0467, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2528, 0.3382, 0.0003, 0.0017, 0.1003, 0.0, 0.0215, 0.1022, 0.0733, 0.0168, 0.0438, 0.0024, 0.0467, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 41.0]), label=12.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 41.0]), label=12.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 42.0]), label=1.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 43.0]), label=7.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 44.0]), label=1.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 30.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 40.0]), label=8.0, probability=DenseVector([0.2552, 0.3353, 0.0003, 0.0013, 0.1011, 0.0, 0.021, 0.1047, 0.0752, 0.0183, 0.0444, 0.0023, 0.0408, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 40.0]), label=4.0, probability=DenseVector([0.2552, 0.3353, 0.0003, 0.0013, 0.1011, 0.0, 0.021, 0.1047, 0.0752, 0.0183, 0.0444, 0.0023, 0.0408, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.2552, 0.3353, 0.0003, 0.0013, 0.1011, 0.0, 0.021, 0.1047, 0.0752, 0.0183, 0.0444, 0.0023, 0.0408, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.2552, 0.3353, 0.0003, 0.0013, 0.1011, 0.0, 0.021, 0.1047, 0.0752, 0.0183, 0.0444, 0.0023, 0.0408, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 43.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 40.0]), label=8.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 40.0]), label=7.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 40.0]), label=1.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 41.0]), label=7.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 41.0]), label=7.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 43.0]), label=12.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 45.0]), label=12.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 30.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 30.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 48.0]), label=12.0, probability=DenseVector([0.1078, 0.4078, 0.0042, 0.0262, 0.0277, 0.0001, 0.0576, 0.1189, 0.093, 0.0405, 0.0195, 0.0072, 0.0897, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 29.0]), label=0.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 39.0]), label=4.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 37.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 43.0]), label=12.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 44.0]), label=0.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 28.0]), label=8.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 29.0]), label=8.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 31.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 31.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 32.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 36.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 38.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 38.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 39.0]), label=10.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 39.0]), label=4.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 27.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 28.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 29.0]), label=7.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 29.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 29.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 30.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 32.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 32.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 34.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 34.0]), label=1.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 36.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 36.0]), label=1.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 38.0]), label=1.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 29.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 30.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 30.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 32.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 32.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 37.0]), label=12.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 37.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2346, 0.2324, 0.0029, 0.001, 0.1081, 0.0, 0.0655, 0.1053, 0.0775, 0.0526, 0.0774, 0.0029, 0.0398, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 44.0, 47.0]), label=4.0, probability=DenseVector([0.1559, 0.2534, 0.0208, 0.0114, 0.0682, 0.0002, 0.1115, 0.0905, 0.087, 0.0779, 0.0545, 0.0072, 0.0613, 0.0003]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 29.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 29.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 32.0]), label=12.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 33.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 34.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 34.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 39.0]), label=4.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 40.0]), label=4.0, probability=DenseVector([0.2336, 0.2242, 0.0029, 0.001, 0.1089, 0.0, 0.0706, 0.1014, 0.0775, 0.0556, 0.0802, 0.0029, 0.041, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 45.0, 41.0]), label=10.0, probability=DenseVector([0.1654, 0.2702, 0.0079, 0.0034, 0.0781, 0.0, 0.105, 0.0958, 0.0765, 0.0668, 0.0766, 0.0037, 0.0506, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 33.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.1611, 0.1951, 0.0423, 0.0144, 0.0833, 0.0002, 0.1398, 0.075, 0.0858, 0.0795, 0.0645, 0.0082, 0.0505, 0.0004]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 30.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 40.0]), label=12.0, probability=DenseVector([0.2487, 0.1776, 0.0046, 0.0009, 0.1191, 0.0, 0.1203, 0.0712, 0.0715, 0.057, 0.0829, 0.0022, 0.044, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 47.0, 41.0]), label=1.0, probability=DenseVector([0.1713, 0.1856, 0.0241, 0.0052, 0.0922, 0.0, 0.2004, 0.0553, 0.0673, 0.067, 0.0786, 0.0037, 0.0491, 0.0002]))
Row(prediction=1.0, features=DenseVector([15.0, 47.0, 58.0]), label=1.0, probability=DenseVector([0.1297, 0.1751, 0.0223, 0.0148, 0.0912, 0.0021, 0.1379, 0.0678, 0.0874, 0.1134, 0.0723, 0.0178, 0.0681, 0.0001]))
Row(prediction=0.0, features=DenseVector([15.0, 48.0, 30.0]), label=7.0, probability=DenseVector([0.3403, 0.0533, 0.0002, 0.0, 0.132, 0.0, 0.2584, 0.0611, 0.0372, 0.0232, 0.0561, 0.0011, 0.0371, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 49.0, 41.0]), label=1.0, probability=DenseVector([0.1839, 0.1209, 0.0226, 0.0048, 0.1063, 0.0, 0.2938, 0.0348, 0.0519, 0.0436, 0.089, 0.004, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([15.0, 49.0, 47.0]), label=1.0, probability=DenseVector([0.1565, 0.1108, 0.0416, 0.0127, 0.1152, 0.0002, 0.2594, 0.0329, 0.0712, 0.0561, 0.0857, 0.0095, 0.0479, 0.0004]))
Row(prediction=6.0, features=DenseVector([15.0, 51.0, 34.0]), label=4.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 51.0, 40.0]), label=12.0, probability=DenseVector([0.2329, 0.0811, 0.0031, 0.0004, 0.109, 0.0, 0.3396, 0.0308, 0.044, 0.0329, 0.0877, 0.0026, 0.0358, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 37.0]), label=4.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 52.0, 43.0]), label=1.0, probability=DenseVector([0.171, 0.1241, 0.0296, 0.0084, 0.1059, 0.0, 0.2889, 0.0325, 0.0532, 0.0442, 0.0903, 0.0044, 0.0465, 0.0011]))
Row(prediction=6.0, features=DenseVector([15.0, 56.0, 30.0]), label=1.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 20.0, 36.0]), label=1.0, probability=DenseVector([0.214, 0.4184, 0.0, 0.0, 0.1215, 0.0, 0.0249, 0.0962, 0.0517, 0.0029, 0.0247, 0.0014, 0.0444, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 20.0, 41.0]), label=1.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 20.0, 52.0]), label=12.0, probability=DenseVector([0.0426, 0.4497, 0.0003, 0.0109, 0.0103, 0.0, 0.0536, 0.0701, 0.055, 0.0277, 0.0076, 0.0023, 0.27, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 24.0, 37.0]), label=1.0, probability=DenseVector([0.2049, 0.4946, 0.0, 0.0, 0.0953, 0.0, 0.0265, 0.0627, 0.0358, 0.003, 0.0247, 0.0, 0.0525, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 24.0, 39.0]), label=12.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 25.0, 38.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 25.0, 41.0]), label=12.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 26.0, 37.0]), label=1.0, probability=DenseVector([0.2049, 0.4946, 0.0, 0.0, 0.0953, 0.0, 0.0265, 0.0627, 0.0358, 0.003, 0.0247, 0.0, 0.0525, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 27.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 27.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 28.0, 27.0]), label=1.0, probability=DenseVector([0.2131, 0.3377, 0.0, 0.0, 0.1201, 0.0, 0.0167, 0.1388, 0.1033, 0.005, 0.019, 0.0002, 0.0462, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 28.0, 32.0]), label=1.0, probability=DenseVector([0.2332, 0.3324, 0.0, 0.0, 0.1479, 0.0, 0.016, 0.1372, 0.0671, 0.003, 0.0213, 0.0007, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 28.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 28.0, 45.0]), label=12.0, probability=DenseVector([0.1039, 0.4994, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0728, 0.0521, 0.0143, 0.019, 0.0032, 0.1598, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 28.0, 46.0]), label=12.0, probability=DenseVector([0.0877, 0.4743, 0.0009, 0.0121, 0.023, 0.0009, 0.0579, 0.0894, 0.0764, 0.0165, 0.0168, 0.0029, 0.1411, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 42.0]), label=7.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 45.0]), label=12.0, probability=DenseVector([0.1039, 0.4994, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0728, 0.0521, 0.0143, 0.019, 0.0032, 0.1598, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 45.0]), label=12.0, probability=DenseVector([0.1039, 0.4994, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0728, 0.0521, 0.0143, 0.019, 0.0032, 0.1598, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 45.0]), label=12.0, probability=DenseVector([0.1039, 0.4994, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0728, 0.0521, 0.0143, 0.019, 0.0032, 0.1598, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 49.0]), label=7.0, probability=DenseVector([0.0556, 0.4234, 0.0029, 0.0541, 0.0128, 0.0006, 0.0698, 0.1019, 0.0766, 0.0187, 0.0091, 0.0064, 0.168, 0.0001]))
Row(prediction=1.0, features=DenseVector([16.0, 30.0, 44.0]), label=12.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 30.0, 45.0]), label=12.0, probability=DenseVector([0.1091, 0.5023, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0702, 0.0534, 0.0143, 0.019, 0.0032, 0.153, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 30.0, 45.0]), label=12.0, probability=DenseVector([0.1091, 0.5023, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0702, 0.0534, 0.0143, 0.019, 0.0032, 0.153, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 30.0, 47.0]), label=1.0, probability=DenseVector([0.0628, 0.4434, 0.0008, 0.0125, 0.0148, 0.0009, 0.0918, 0.0935, 0.0828, 0.0198, 0.0111, 0.0051, 0.1608, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 29.0]), label=4.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 39.0]), label=12.0, probability=DenseVector([0.3504, 0.317, 0.0, 0.0, 0.1506, 0.0, 0.008, 0.0424, 0.0182, 0.0059, 0.0568, 0.0001, 0.0505, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 31.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 31.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 32.0, 41.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 32.0, 47.0]), label=12.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 22.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 43.0]), label=12.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 45.0]), label=12.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 45.0]), label=12.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 45.0]), label=8.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 45.0]), label=7.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 45.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 47.0]), label=12.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 43.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 44.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 45.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 46.0]), label=12.0, probability=DenseVector([0.0978, 0.4688, 0.0011, 0.0131, 0.0263, 0.0002, 0.051, 0.1024, 0.0704, 0.0197, 0.0182, 0.0046, 0.1265, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 46.0]), label=1.0, probability=DenseVector([0.0978, 0.4688, 0.0011, 0.0131, 0.0263, 0.0002, 0.051, 0.1024, 0.0704, 0.0197, 0.0182, 0.0046, 0.1265, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 29.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 31.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 42.0]), label=7.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 43.0]), label=8.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 43.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 46.0]), label=7.0, probability=DenseVector([0.1103, 0.4588, 0.0013, 0.0126, 0.0304, 0.0002, 0.045, 0.1084, 0.0771, 0.0226, 0.021, 0.0049, 0.1073, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 47.0]), label=1.0, probability=DenseVector([0.089, 0.4452, 0.0011, 0.0132, 0.0236, 0.0002, 0.0601, 0.1115, 0.0797, 0.0288, 0.0163, 0.005, 0.1262, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 29.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 39.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 40.0]), label=4.0, probability=DenseVector([0.2528, 0.3382, 0.0003, 0.0017, 0.1003, 0.0, 0.0215, 0.1022, 0.0733, 0.0168, 0.0438, 0.0024, 0.0467, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 42.0]), label=1.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 43.0]), label=1.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 43.0]), label=7.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 44.0]), label=1.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 44.0]), label=1.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 40.0]), label=0.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 41.0]), label=4.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 30.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 40.0]), label=7.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=4.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 43.0]), label=10.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 46.0]), label=4.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 47.0]), label=1.0, probability=DenseVector([0.1134, 0.409, 0.0031, 0.0078, 0.0301, 0.0002, 0.0636, 0.1176, 0.0946, 0.0464, 0.0216, 0.0053, 0.0874, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 32.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 32.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 32.0]), label=0.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 33.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=1.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 27.0]), label=8.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 28.0]), label=8.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 30.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 31.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 31.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 31.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 34.0]), label=0.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 36.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 38.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 38.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 39.0]), label=0.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 39.0]), label=4.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 39.0]), label=4.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 39.0]), label=4.0, probability=DenseVector([0.4186, 0.1021, 0.0006, 0.0004, 0.1879, 0.0, 0.0273, 0.0847, 0.0635, 0.0209, 0.0693, 0.0006, 0.0242, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 40.0]), label=12.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=12.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 46.0]), label=1.0, probability=DenseVector([0.1279, 0.4038, 0.0166, 0.0101, 0.0393, 0.0002, 0.0531, 0.113, 0.0929, 0.0399, 0.03, 0.0059, 0.0669, 0.0003]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 28.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 29.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 29.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 29.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 31.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 31.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 33.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 34.0]), label=10.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 35.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 35.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 36.0]), label=10.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 38.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 38.0]), label=1.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 39.0]), label=4.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 28.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 29.0]), label=4.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 29.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 29.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 29.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 30.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 30.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 32.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 33.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 33.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 35.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 39.0]), label=4.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 44.0]), label=12.0, probability=DenseVector([0.1465, 0.2948, 0.0216, 0.0108, 0.0564, 0.0002, 0.0954, 0.1051, 0.0892, 0.0659, 0.0496, 0.008, 0.0561, 0.0003]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 47.0]), label=1.0, probability=DenseVector([0.1449, 0.2709, 0.0218, 0.0116, 0.0608, 0.0002, 0.1152, 0.0952, 0.0884, 0.0757, 0.0445, 0.0086, 0.0617, 0.0003]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 28.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 30.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 30.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 30.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 32.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 36.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 36.0]), label=10.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 36.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 37.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 37.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 38.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 39.0]), label=0.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 41.0]), label=10.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 31.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 32.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 33.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 34.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 36.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 37.0]), label=10.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 46.0, 43.0]), label=1.0, probability=DenseVector([0.1572, 0.278, 0.0126, 0.0038, 0.0682, 0.0, 0.1209, 0.0972, 0.0786, 0.0672, 0.0605, 0.0045, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 31.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 32.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 32.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 36.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 36.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 31.0]), label=4.0, probability=DenseVector([0.3403, 0.0533, 0.0002, 0.0, 0.132, 0.0, 0.2584, 0.0611, 0.0372, 0.0232, 0.0561, 0.0011, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 31.0]), label=4.0, probability=DenseVector([0.3403, 0.0533, 0.0002, 0.0, 0.132, 0.0, 0.2584, 0.0611, 0.0372, 0.0232, 0.0561, 0.0011, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 38.0]), label=1.0, probability=DenseVector([0.3149, 0.0609, 0.0002, 0.0, 0.1457, 0.0, 0.2369, 0.0538, 0.0361, 0.0335, 0.0783, 0.0007, 0.0389, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 36.0]), label=4.0, probability=DenseVector([0.3137, 0.061, 0.0002, 0.0, 0.1426, 0.0, 0.2523, 0.0511, 0.0351, 0.0307, 0.0764, 0.001, 0.0358, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 37.0]), label=10.0, probability=DenseVector([0.3137, 0.061, 0.0002, 0.0, 0.1426, 0.0, 0.2523, 0.0511, 0.0351, 0.0307, 0.0764, 0.001, 0.0358, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 52.0, 36.0]), label=1.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 52.0, 43.0]), label=4.0, probability=DenseVector([0.1648, 0.13, 0.0323, 0.0091, 0.1073, 0.0, 0.2908, 0.0353, 0.0539, 0.0479, 0.0754, 0.0044, 0.0476, 0.0011]))
Row(prediction=6.0, features=DenseVector([16.0, 57.0, 34.0]), label=12.0, probability=DenseVector([0.2882, 0.0408, 0.0002, 0.0, 0.0973, 0.0, 0.4137, 0.0384, 0.0306, 0.0201, 0.0481, 0.0036, 0.0189, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 17.0, 37.0]), label=1.0, probability=DenseVector([0.2049, 0.4946, 0.0, 0.0, 0.0953, 0.0, 0.0265, 0.0627, 0.0358, 0.003, 0.0247, 0.0, 0.0525, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 18.0, 37.0]), label=1.0, probability=DenseVector([0.2049, 0.4946, 0.0, 0.0, 0.0953, 0.0, 0.0265, 0.0627, 0.0358, 0.003, 0.0247, 0.0, 0.0525, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 25.0, 48.0]), label=12.0, probability=DenseVector([0.0561, 0.4537, 0.0029, 0.0525, 0.0122, 0.0006, 0.0535, 0.096, 0.0711, 0.0184, 0.0084, 0.0056, 0.1689, 0.0001]))
Row(prediction=1.0, features=DenseVector([17.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0434, 0.4146, 0.0006, 0.0348, 0.0103, 0.0005, 0.0484, 0.08, 0.0642, 0.0283, 0.0062, 0.0037, 0.2649, 0.0001]))
Row(prediction=1.0, features=DenseVector([17.0, 27.0, 43.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 27.0, 46.0]), label=1.0, probability=DenseVector([0.0876, 0.4558, 0.0009, 0.0122, 0.023, 0.0009, 0.0558, 0.0939, 0.0943, 0.0162, 0.0161, 0.0035, 0.1397, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 27.0, 49.0]), label=12.0, probability=DenseVector([0.0573, 0.4088, 0.0029, 0.0544, 0.0128, 0.0006, 0.0682, 0.1098, 0.0831, 0.0184, 0.0084, 0.0064, 0.1687, 0.0001]))
Row(prediction=1.0, features=DenseVector([17.0, 28.0, 45.0]), label=12.0, probability=DenseVector([0.1039, 0.4994, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0728, 0.0521, 0.0143, 0.019, 0.0032, 0.1598, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 28.0, 47.0]), label=12.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 28.0, 50.0]), label=12.0, probability=DenseVector([0.0573, 0.4088, 0.0029, 0.0544, 0.0128, 0.0006, 0.0682, 0.1098, 0.0831, 0.0184, 0.0084, 0.0064, 0.1687, 0.0001]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 45.0]), label=12.0, probability=DenseVector([0.1039, 0.4994, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0728, 0.0521, 0.0143, 0.019, 0.0032, 0.1598, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 46.0]), label=12.0, probability=DenseVector([0.0876, 0.4558, 0.0009, 0.0122, 0.023, 0.0009, 0.0558, 0.0939, 0.0943, 0.0162, 0.0161, 0.0035, 0.1397, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 46.0]), label=12.0, probability=DenseVector([0.0876, 0.4558, 0.0009, 0.0122, 0.023, 0.0009, 0.0558, 0.0939, 0.0943, 0.0162, 0.0161, 0.0035, 0.1397, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 47.0]), label=1.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 48.0]), label=12.0, probability=DenseVector([0.0573, 0.4088, 0.0029, 0.0544, 0.0128, 0.0006, 0.0682, 0.1098, 0.0831, 0.0184, 0.0084, 0.0064, 0.1687, 0.0001]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0468, 0.4071, 0.0006, 0.0425, 0.0121, 0.0005, 0.0662, 0.1123, 0.0787, 0.0197, 0.0062, 0.0118, 0.1952, 0.0001]))
Row(prediction=0.0, features=DenseVector([17.0, 30.0, 37.0]), label=1.0, probability=DenseVector([0.4091, 0.2123, 0.0, 0.0, 0.1969, 0.0, 0.0068, 0.0481, 0.0237, 0.0058, 0.0596, 0.0001, 0.0377, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 30.0, 39.0]), label=12.0, probability=DenseVector([0.3504, 0.317, 0.0, 0.0, 0.1506, 0.0, 0.008, 0.0424, 0.0182, 0.0059, 0.0568, 0.0001, 0.0505, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 30.0, 42.0]), label=12.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 30.0, 46.0]), label=1.0, probability=DenseVector([0.0876, 0.4558, 0.0009, 0.0122, 0.023, 0.0009, 0.0558, 0.0939, 0.0943, 0.0162, 0.0161, 0.0035, 0.1397, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 30.0, 47.0]), label=12.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 31.0, 37.0]), label=10.0, probability=DenseVector([0.4091, 0.2123, 0.0, 0.0, 0.1969, 0.0, 0.0068, 0.0481, 0.0237, 0.0058, 0.0596, 0.0001, 0.0377, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 31.0, 40.0]), label=10.0, probability=DenseVector([0.1441, 0.547, 0.0001, 0.0032, 0.0509, 0.0, 0.0244, 0.0603, 0.0337, 0.0063, 0.0257, 0.0016, 0.1027, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 41.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 43.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 47.0]), label=8.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 46.0]), label=12.0, probability=DenseVector([0.0944, 0.4725, 0.0012, 0.0123, 0.0263, 0.0009, 0.0533, 0.0976, 0.0679, 0.0219, 0.018, 0.0036, 0.13, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 47.0]), label=12.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 34.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 34.0, 41.0]), label=12.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 34.0, 47.0]), label=1.0, probability=DenseVector([0.0763, 0.4552, 0.001, 0.0138, 0.0195, 0.0002, 0.0655, 0.1058, 0.0746, 0.0235, 0.0128, 0.0049, 0.147, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 27.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 39.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 42.0]), label=7.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 42.0]), label=4.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 44.0]), label=12.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 45.0]), label=12.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 40.0]), label=1.0, probability=DenseVector([0.2528, 0.3382, 0.0003, 0.0017, 0.1003, 0.0, 0.0215, 0.1022, 0.0733, 0.0168, 0.0438, 0.0024, 0.0467, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 45.0]), label=7.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 27.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 38.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 40.0]), label=4.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 40.0]), label=4.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 30.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 31.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 42.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 43.0]), label=12.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.1078, 0.4078, 0.0042, 0.0262, 0.0277, 0.0001, 0.0576, 0.1189, 0.093, 0.0405, 0.0195, 0.0072, 0.0897, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 44.0]), label=10.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 30.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 40.0]), label=1.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 42.0]), label=4.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 43.0]), label=12.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 43.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 50.0]), label=12.0, probability=DenseVector([0.1152, 0.3749, 0.0051, 0.0242, 0.0374, 0.0001, 0.0716, 0.112, 0.0976, 0.0541, 0.0236, 0.0086, 0.0756, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 31.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 38.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 38.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 41.0]), label=4.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 44.0]), label=12.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 44.0]), label=1.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 28.0]), label=4.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 31.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 31.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 33.0]), label=10.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 35.0]), label=10.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 35.0]), label=7.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 35.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 36.0]), label=10.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 37.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 37.0]), label=1.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 38.0]), label=4.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 39.0]), label=12.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 41.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 43.0]), label=10.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 43.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 33.0]), label=10.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 33.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 35.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 36.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=4.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 42.0]), label=10.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 42.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 28.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 29.0]), label=1.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 30.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 34.0]), label=10.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 34.0]), label=10.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 36.0]), label=12.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 36.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 36.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 37.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 38.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 41.0]), label=4.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 41.0]), label=1.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 42.0]), label=1.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 43.0]), label=1.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 30.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 30.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 31.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 31.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 34.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 40.0]), label=1.0, probability=DenseVector([0.2285, 0.2443, 0.0076, 0.0012, 0.096, 0.0, 0.0823, 0.0989, 0.0785, 0.0552, 0.0605, 0.0034, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 40.0]), label=1.0, probability=DenseVector([0.2285, 0.2443, 0.0076, 0.0012, 0.096, 0.0, 0.0823, 0.0989, 0.0785, 0.0552, 0.0605, 0.0034, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 40.0]), label=1.0, probability=DenseVector([0.2285, 0.2443, 0.0076, 0.0012, 0.096, 0.0, 0.0823, 0.0989, 0.0785, 0.0552, 0.0605, 0.0034, 0.0437, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 30.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 30.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 31.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 33.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 33.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 38.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 40.0]), label=12.0, probability=DenseVector([0.2369, 0.189, 0.0086, 0.0017, 0.1131, 0.0, 0.1392, 0.0742, 0.069, 0.0514, 0.0691, 0.0027, 0.045, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 40.0]), label=12.0, probability=DenseVector([0.2369, 0.189, 0.0086, 0.0017, 0.1131, 0.0, 0.1392, 0.0742, 0.069, 0.0514, 0.0691, 0.0027, 0.045, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 40.0]), label=12.0, probability=DenseVector([0.2369, 0.189, 0.0086, 0.0017, 0.1131, 0.0, 0.1392, 0.0742, 0.069, 0.0514, 0.0691, 0.0027, 0.045, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 47.0, 42.0]), label=10.0, probability=DenseVector([0.1545, 0.1914, 0.0282, 0.0063, 0.0871, 0.0, 0.2248, 0.059, 0.0648, 0.0634, 0.0663, 0.0046, 0.0494, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 47.0, 43.0]), label=12.0, probability=DenseVector([0.1522, 0.1917, 0.0352, 0.0099, 0.0849, 0.0, 0.2194, 0.0585, 0.0647, 0.063, 0.0659, 0.0046, 0.0489, 0.0011]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 33.0]), label=4.0, probability=DenseVector([0.3041, 0.0602, 0.0003, 0.0, 0.1128, 0.0, 0.3143, 0.0512, 0.0408, 0.0325, 0.0483, 0.0009, 0.0345, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 34.0]), label=4.0, probability=DenseVector([0.2958, 0.0638, 0.0005, 0.0, 0.1076, 0.0, 0.3246, 0.0492, 0.04, 0.0352, 0.0481, 0.0009, 0.0343, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 36.0]), label=4.0, probability=DenseVector([0.2794, 0.0682, 0.0005, 0.0, 0.0971, 0.0, 0.3538, 0.0485, 0.0417, 0.0345, 0.0461, 0.0004, 0.0298, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 41.0]), label=4.0, probability=DenseVector([0.1778, 0.1268, 0.0254, 0.0055, 0.1077, 0.0, 0.2957, 0.0375, 0.0526, 0.0473, 0.074, 0.004, 0.0455, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 30.0]), label=10.0, probability=DenseVector([0.2719, 0.0451, 0.0002, 0.0, 0.0937, 0.0, 0.4213, 0.0437, 0.0345, 0.0226, 0.0452, 0.0021, 0.0195, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 36.0]), label=1.0, probability=DenseVector([0.274, 0.0453, 0.0002, 0.0, 0.0929, 0.0, 0.4231, 0.0421, 0.0327, 0.0221, 0.0472, 0.002, 0.0184, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 42.0]), label=4.0, probability=DenseVector([0.1778, 0.1268, 0.0254, 0.0055, 0.1077, 0.0, 0.2957, 0.0375, 0.0526, 0.0473, 0.074, 0.004, 0.0455, 0.0002]))
Row(prediction=6.0, features=DenseVector([17.0, 53.0, 46.0]), label=4.0, probability=DenseVector([0.1502, 0.1347, 0.0315, 0.0128, 0.1096, 0.0002, 0.2495, 0.0383, 0.0682, 0.0653, 0.0786, 0.0087, 0.0521, 0.0003]))
Row(prediction=6.0, features=DenseVector([17.0, 54.0, 43.0]), label=4.0, probability=DenseVector([0.1648, 0.13, 0.0323, 0.0091, 0.1073, 0.0, 0.2908, 0.0353, 0.0539, 0.0479, 0.0754, 0.0044, 0.0476, 0.0011]))
Row(prediction=6.0, features=DenseVector([17.0, 55.0, 44.0]), label=4.0, probability=DenseVector([0.1559, 0.1349, 0.0317, 0.0122, 0.1067, 0.0002, 0.2543, 0.0386, 0.0649, 0.0638, 0.0778, 0.0081, 0.0505, 0.0003]))
Row(prediction=6.0, features=DenseVector([17.0, 56.0, 39.0]), label=4.0, probability=DenseVector([0.2639, 0.0574, 0.0005, 0.0002, 0.0914, 0.0, 0.406, 0.0472, 0.0367, 0.0262, 0.0483, 0.0021, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 11.0, 52.0]), label=1.0, probability=DenseVector([0.0442, 0.4332, 0.0003, 0.014, 0.0104, 0.0, 0.0442, 0.0735, 0.0608, 0.0293, 0.0074, 0.0057, 0.2772, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 19.0, 41.0]), label=1.0, probability=DenseVector([0.089, 0.575, 0.0007, 0.0083, 0.0231, 0.0002, 0.0418, 0.0694, 0.0485, 0.0119, 0.0179, 0.0021, 0.1121, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 22.0, 36.0]), label=12.0, probability=DenseVector([0.1778, 0.4469, 0.0, 0.0, 0.1121, 0.0, 0.0348, 0.0945, 0.0517, 0.005, 0.029, 0.0014, 0.0468, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 22.0, 47.0]), label=12.0, probability=DenseVector([0.0616, 0.4773, 0.0008, 0.0152, 0.0139, 0.0009, 0.051, 0.092, 0.0859, 0.0197, 0.0098, 0.0031, 0.1689, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 26.0, 43.0]), label=1.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 26.0, 50.0]), label=12.0, probability=DenseVector([0.056, 0.4518, 0.0029, 0.0553, 0.0123, 0.0006, 0.0457, 0.0915, 0.0704, 0.0203, 0.0088, 0.009, 0.1754, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 36.0]), label=4.0, probability=DenseVector([0.1983, 0.4193, 0.0, 0.0, 0.118, 0.0, 0.0343, 0.0908, 0.0527, 0.005, 0.0323, 0.0007, 0.0487, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 44.0]), label=12.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 45.0]), label=12.0, probability=DenseVector([0.1006, 0.4904, 0.0009, 0.0104, 0.0253, 0.0009, 0.0382, 0.0793, 0.0708, 0.0143, 0.019, 0.0024, 0.1476, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 46.0]), label=12.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 46.0]), label=12.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 46.0]), label=12.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 32.0]), label=1.0, probability=DenseVector([0.197, 0.3608, 0.0, 0.0, 0.1385, 0.0, 0.026, 0.1355, 0.0671, 0.0051, 0.0256, 0.0007, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 41.0]), label=12.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0563, 0.3852, 0.0029, 0.0632, 0.0131, 0.0006, 0.0563, 0.1181, 0.09, 0.0197, 0.0088, 0.0104, 0.1753, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 45.0]), label=12.0, probability=DenseVector([0.1057, 0.4933, 0.0009, 0.0104, 0.0253, 0.0009, 0.0382, 0.0767, 0.0721, 0.0143, 0.019, 0.0024, 0.1408, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 47.0]), label=12.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 31.0, 33.0]), label=10.0, probability=DenseVector([0.4338, 0.118, 0.0, 0.0, 0.2684, 0.0, 0.0093, 0.0565, 0.036, 0.0017, 0.0588, 0.0, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 31.0, 36.0]), label=10.0, probability=DenseVector([0.4523, 0.122, 0.0, 0.0, 0.2475, 0.0, 0.0091, 0.0535, 0.0332, 0.0017, 0.0641, 0.0, 0.0166, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 47.0]), label=12.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.056, 0.3789, 0.0033, 0.0654, 0.0127, 0.0006, 0.0548, 0.1225, 0.0916, 0.0184, 0.0083, 0.0073, 0.1801, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0563, 0.3852, 0.0029, 0.0632, 0.0131, 0.0006, 0.0563, 0.1181, 0.09, 0.0197, 0.0088, 0.0104, 0.1753, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0471, 0.388, 0.0006, 0.0525, 0.0116, 0.0005, 0.0551, 0.1275, 0.0861, 0.0175, 0.0066, 0.0199, 0.1869, 0.0001]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 29.0]), label=1.0, probability=DenseVector([0.4947, 0.0727, 0.0, 0.0, 0.2159, 0.0, 0.0132, 0.0649, 0.0514, 0.0091, 0.0642, 0.0, 0.0137, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 32.0, 45.0]), label=12.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.0652, 0.4164, 0.0036, 0.0571, 0.0168, 0.0006, 0.0522, 0.1102, 0.0808, 0.0234, 0.0111, 0.007, 0.1556, 0.0001]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 26.0]), label=1.0, probability=DenseVector([0.4947, 0.0727, 0.0, 0.0, 0.2159, 0.0, 0.0132, 0.0649, 0.0514, 0.0091, 0.0642, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 34.0]), label=12.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 41.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 45.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 45.0]), label=12.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 47.0]), label=12.0, probability=DenseVector([0.0711, 0.4475, 0.001, 0.0157, 0.0188, 0.0009, 0.0581, 0.1073, 0.0832, 0.0249, 0.0126, 0.004, 0.1548, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 48.0]), label=12.0, probability=DenseVector([0.0652, 0.4164, 0.0036, 0.0571, 0.0168, 0.0006, 0.0522, 0.1102, 0.0808, 0.0234, 0.0111, 0.007, 0.1556, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 48.0]), label=8.0, probability=DenseVector([0.0652, 0.4164, 0.0036, 0.0571, 0.0168, 0.0006, 0.0522, 0.1102, 0.0808, 0.0234, 0.0111, 0.007, 0.1556, 0.0001]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 44.0]), label=12.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 46.0]), label=7.0, probability=DenseVector([0.0967, 0.46, 0.0011, 0.0154, 0.026, 0.0002, 0.0459, 0.1055, 0.0752, 0.0202, 0.0181, 0.0047, 0.131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 47.0]), label=12.0, probability=DenseVector([0.0745, 0.4438, 0.001, 0.0166, 0.0188, 0.0002, 0.0557, 0.1121, 0.0857, 0.0226, 0.0128, 0.005, 0.1513, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 48.0]), label=12.0, probability=DenseVector([0.0705, 0.4239, 0.0034, 0.0355, 0.018, 0.0001, 0.0544, 0.1144, 0.0833, 0.0232, 0.0118, 0.0068, 0.1549, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 48.0]), label=12.0, probability=DenseVector([0.0705, 0.4239, 0.0034, 0.0355, 0.018, 0.0001, 0.0544, 0.1144, 0.0833, 0.0232, 0.0118, 0.0068, 0.1549, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 49.0]), label=12.0, probability=DenseVector([0.0705, 0.4239, 0.0034, 0.0355, 0.018, 0.0001, 0.0544, 0.1144, 0.0833, 0.0232, 0.0118, 0.0068, 0.1549, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 49.0]), label=7.0, probability=DenseVector([0.0705, 0.4239, 0.0034, 0.0355, 0.018, 0.0001, 0.0544, 0.1144, 0.0833, 0.0232, 0.0118, 0.0068, 0.1549, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 31.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 37.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 44.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 44.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 46.0]), label=1.0, probability=DenseVector([0.1103, 0.4588, 0.0013, 0.0126, 0.0304, 0.0002, 0.045, 0.1084, 0.0771, 0.0226, 0.021, 0.0049, 0.1073, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 47.0]), label=8.0, probability=DenseVector([0.0885, 0.4358, 0.0014, 0.0146, 0.0232, 0.0002, 0.0519, 0.1259, 0.0901, 0.0246, 0.0158, 0.0058, 0.1224, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 37.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 45.0]), label=12.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 46.0]), label=1.0, probability=DenseVector([0.1263, 0.4438, 0.0017, 0.01, 0.034, 0.0002, 0.0449, 0.1134, 0.0865, 0.0294, 0.0244, 0.0048, 0.0807, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.1008, 0.4071, 0.0037, 0.0287, 0.0263, 0.0001, 0.0519, 0.1287, 0.0956, 0.0333, 0.0186, 0.0106, 0.0946, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 38.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 46.0]), label=8.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 49.0]), label=8.0, probability=DenseVector([0.103, 0.3979, 0.0042, 0.0306, 0.0268, 0.0001, 0.0499, 0.1356, 0.0989, 0.0335, 0.0186, 0.0075, 0.0935, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 44.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.107, 0.4179, 0.0018, 0.0116, 0.0276, 0.0002, 0.0512, 0.1332, 0.1013, 0.033, 0.0196, 0.0057, 0.0899, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 30.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 31.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 37.0]), label=12.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 43.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 48.0]), label=1.0, probability=DenseVector([0.1078, 0.3968, 0.0046, 0.0298, 0.0279, 0.0001, 0.0534, 0.1235, 0.0959, 0.0399, 0.0194, 0.0076, 0.0933, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 29.0]), label=4.0, probability=DenseVector([0.4094, 0.0725, 0.0, 0.0, 0.1747, 0.0, 0.0289, 0.1032, 0.1231, 0.0095, 0.0553, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 31.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4495, 0.0794, 0.0, 0.0, 0.2059, 0.0, 0.0181, 0.0774, 0.0561, 0.014, 0.0806, 0.0, 0.0189, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 42.0]), label=4.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 43.0]), label=12.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 46.0]), label=1.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 46.0]), label=1.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 30.0]), label=0.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 38.0]), label=1.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 41.0]), label=7.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 42.0]), label=10.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 44.0]), label=0.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 46.0]), label=1.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 46.0]), label=1.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 46.0]), label=1.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.1336, 0.3827, 0.0031, 0.009, 0.0391, 0.0002, 0.0688, 0.1121, 0.0944, 0.0543, 0.0232, 0.005, 0.0747, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 48.0]), label=1.0, probability=DenseVector([0.118, 0.3738, 0.0055, 0.027, 0.0351, 0.0001, 0.0633, 0.1191, 0.0964, 0.0484, 0.0215, 0.0068, 0.0849, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 33.0]), label=7.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 44.0]), label=1.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 45.0]), label=1.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 45.0]), label=1.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 45.0]), label=1.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 32.0]), label=4.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 32.0]), label=4.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.4227, 0.0707, 0.0, 0.0, 0.2082, 0.0, 0.0288, 0.0756, 0.0666, 0.0165, 0.0861, 0.0, 0.0248, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 43.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 44.0]), label=1.0, probability=DenseVector([0.1336, 0.3352, 0.0197, 0.0122, 0.0473, 0.0002, 0.0685, 0.1236, 0.1033, 0.0529, 0.0413, 0.0061, 0.0559, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 46.0]), label=1.0, probability=DenseVector([0.1282, 0.3312, 0.0199, 0.0129, 0.0461, 0.0002, 0.0708, 0.1255, 0.104, 0.0546, 0.0393, 0.0065, 0.0605, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 46.0]), label=1.0, probability=DenseVector([0.1282, 0.3312, 0.0199, 0.0129, 0.0461, 0.0002, 0.0708, 0.1255, 0.104, 0.0546, 0.0393, 0.0065, 0.0605, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 47.0]), label=4.0, probability=DenseVector([0.1373, 0.3085, 0.0199, 0.0147, 0.0489, 0.0002, 0.0823, 0.1164, 0.1039, 0.0654, 0.0345, 0.0068, 0.0609, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 32.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 33.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 33.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 34.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 42.0]), label=12.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 44.0]), label=8.0, probability=DenseVector([0.1406, 0.2929, 0.0219, 0.0116, 0.0545, 0.0002, 0.0919, 0.1141, 0.0975, 0.0658, 0.0482, 0.0077, 0.0526, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 44.0]), label=1.0, probability=DenseVector([0.1406, 0.2929, 0.0219, 0.0116, 0.0545, 0.0002, 0.0919, 0.1141, 0.0975, 0.0658, 0.0482, 0.0077, 0.0526, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 27.0]), label=7.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 29.0]), label=7.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 31.0]), label=8.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 33.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 33.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 34.0]), label=12.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 34.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 34.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 35.0]), label=12.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 35.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 36.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 37.0]), label=10.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 38.0]), label=10.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 38.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 39.0]), label=12.0, probability=DenseVector([0.3629, 0.1157, 0.0009, 0.0005, 0.1731, 0.0, 0.0573, 0.0886, 0.0715, 0.0249, 0.0754, 0.0007, 0.0285, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 44.0]), label=1.0, probability=DenseVector([0.1403, 0.284, 0.0233, 0.0118, 0.0555, 0.0002, 0.0961, 0.1149, 0.0967, 0.0682, 0.0468, 0.008, 0.0538, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 29.0]), label=7.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 30.0]), label=7.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 31.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 32.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 33.0]), label=8.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 35.0]), label=10.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 36.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 36.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 36.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 37.0]), label=10.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 37.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 38.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 38.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 40.0]), label=1.0, probability=DenseVector([0.2285, 0.2443, 0.0076, 0.0012, 0.096, 0.0, 0.0823, 0.0989, 0.0785, 0.0552, 0.0605, 0.0034, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 42.0]), label=12.0, probability=DenseVector([0.1572, 0.278, 0.0126, 0.0038, 0.0682, 0.0, 0.1209, 0.0972, 0.0786, 0.0672, 0.0605, 0.0045, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 29.0]), label=7.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 30.0]), label=7.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 32.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 35.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 36.0]), label=12.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 36.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 40.0]), label=1.0, probability=DenseVector([0.2351, 0.1933, 0.0091, 0.0017, 0.1121, 0.0, 0.1427, 0.0749, 0.0694, 0.0513, 0.063, 0.0024, 0.045, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 40.0]), label=1.0, probability=DenseVector([0.2351, 0.1933, 0.0091, 0.0017, 0.1121, 0.0, 0.1427, 0.0749, 0.0694, 0.0513, 0.063, 0.0024, 0.045, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 47.0, 41.0]), label=4.0, probability=DenseVector([0.1576, 0.2013, 0.0286, 0.0061, 0.0852, 0.0, 0.2228, 0.059, 0.0652, 0.0613, 0.0587, 0.0039, 0.0501, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 47.0, 41.0]), label=1.0, probability=DenseVector([0.1576, 0.2013, 0.0286, 0.0061, 0.0852, 0.0, 0.2228, 0.059, 0.0652, 0.0613, 0.0587, 0.0039, 0.0501, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 47.0, 43.0]), label=4.0, probability=DenseVector([0.1503, 0.1959, 0.0357, 0.0099, 0.084, 0.0, 0.2228, 0.0591, 0.0651, 0.0628, 0.0598, 0.0043, 0.049, 0.0011]))
Row(prediction=6.0, features=DenseVector([18.0, 47.0, 48.0]), label=1.0, probability=DenseVector([0.1351, 0.1686, 0.0469, 0.0219, 0.0789, 0.0002, 0.1806, 0.0765, 0.0881, 0.0851, 0.0493, 0.0142, 0.0541, 0.0004]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 40.0]), label=1.0, probability=DenseVector([0.2004, 0.1529, 0.0082, 0.0014, 0.095, 0.0, 0.2853, 0.0458, 0.0532, 0.0531, 0.0562, 0.0024, 0.0461, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 51.0]), label=4.0, probability=DenseVector([0.1188, 0.1629, 0.0447, 0.0237, 0.0828, 0.0002, 0.219, 0.0522, 0.0854, 0.0818, 0.0569, 0.0239, 0.0473, 0.0004]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 38.0]), label=4.0, probability=DenseVector([0.228, 0.0696, 0.0008, 0.0001, 0.0715, 0.0, 0.4545, 0.0379, 0.0425, 0.0369, 0.0375, 0.0005, 0.0202, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 45.0]), label=10.0, probability=DenseVector([0.1432, 0.1404, 0.0461, 0.0141, 0.0985, 0.0002, 0.2625, 0.0445, 0.0714, 0.0604, 0.0606, 0.0097, 0.0479, 0.0004]))
Row(prediction=6.0, features=DenseVector([18.0, 52.0, 37.0]), label=4.0, probability=DenseVector([0.2258, 0.0508, 0.0005, 0.0001, 0.0759, 0.0, 0.4908, 0.0369, 0.0357, 0.0271, 0.0417, 0.0012, 0.0135, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 52.0, 39.0]), label=1.0, probability=DenseVector([0.2127, 0.0607, 0.0008, 0.0003, 0.075, 0.0, 0.4769, 0.0437, 0.0367, 0.0314, 0.0454, 0.0013, 0.0151, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 52.0, 42.0]), label=4.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 53.0, 51.0]), label=4.0, probability=DenseVector([0.1155, 0.1505, 0.0308, 0.0236, 0.0967, 0.0002, 0.233, 0.0458, 0.0844, 0.0824, 0.0656, 0.0234, 0.0477, 0.0003]))
Row(prediction=6.0, features=DenseVector([18.0, 54.0, 42.0]), label=4.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=1.0, features=DenseVector([19.0, 26.0, 48.0]), label=1.0, probability=DenseVector([0.0462, 0.3918, 0.0041, 0.0914, 0.0102, 0.0006, 0.0306, 0.1014, 0.0706, 0.0166, 0.0063, 0.007, 0.2231, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 27.0, 36.0]), label=12.0, probability=DenseVector([0.1983, 0.4193, 0.0, 0.0, 0.118, 0.0, 0.0343, 0.0908, 0.0527, 0.005, 0.0323, 0.0007, 0.0487, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 27.0, 47.0]), label=1.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 27.0, 48.0]), label=8.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 27.0, 51.0]), label=1.0, probability=DenseVector([0.0454, 0.334, 0.0036, 0.0986, 0.0107, 0.0006, 0.0416, 0.126, 0.0837, 0.0191, 0.0089, 0.013, 0.2147, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 28.0, 39.0]), label=1.0, probability=DenseVector([0.187, 0.4933, 0.0, 0.0, 0.0844, 0.0, 0.0307, 0.065, 0.0372, 0.0054, 0.0289, 0.0001, 0.0681, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 28.0, 40.0]), label=12.0, probability=DenseVector([0.1041, 0.572, 0.0001, 0.0032, 0.0308, 0.0, 0.0299, 0.0757, 0.0439, 0.0069, 0.0176, 0.0016, 0.1141, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 28.0, 45.0]), label=12.0, probability=DenseVector([0.0989, 0.4832, 0.0014, 0.0114, 0.0253, 0.0009, 0.039, 0.0818, 0.0727, 0.0147, 0.0182, 0.0025, 0.1498, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 29.0, 41.0]), label=1.0, probability=DenseVector([0.11, 0.5149, 0.0014, 0.0105, 0.0276, 0.0009, 0.0395, 0.0756, 0.0544, 0.015, 0.0201, 0.0025, 0.1277, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 29.0, 43.0]), label=12.0, probability=DenseVector([0.11, 0.5149, 0.0014, 0.0105, 0.0276, 0.0009, 0.0395, 0.0756, 0.0544, 0.015, 0.0201, 0.0025, 0.1277, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 29.0, 45.0]), label=12.0, probability=DenseVector([0.0989, 0.4832, 0.0014, 0.0114, 0.0253, 0.0009, 0.039, 0.0818, 0.0727, 0.0147, 0.0182, 0.0025, 0.1498, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 29.0, 47.0]), label=1.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 47.0]), label=12.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 47.0]), label=1.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 47.0]), label=1.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 48.0]), label=1.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 49.0]), label=12.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 49.0]), label=1.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 51.0]), label=12.0, probability=DenseVector([0.0454, 0.334, 0.0036, 0.0986, 0.0107, 0.0006, 0.0416, 0.126, 0.0837, 0.0191, 0.0089, 0.013, 0.2147, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 51.0]), label=12.0, probability=DenseVector([0.0454, 0.334, 0.0036, 0.0986, 0.0107, 0.0006, 0.0416, 0.126, 0.0837, 0.0191, 0.0089, 0.013, 0.2147, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 47.0]), label=4.0, probability=DenseVector([0.0636, 0.3773, 0.0018, 0.0462, 0.0168, 0.0009, 0.0461, 0.1181, 0.0897, 0.0213, 0.0102, 0.0075, 0.2006, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.0546, 0.3367, 0.0043, 0.0965, 0.0137, 0.0006, 0.0394, 0.1238, 0.087, 0.0191, 0.0083, 0.0104, 0.2056, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.0546, 0.3367, 0.0043, 0.0965, 0.0137, 0.0006, 0.0394, 0.1238, 0.087, 0.0191, 0.0083, 0.0104, 0.2056, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 49.0]), label=12.0, probability=DenseVector([0.0546, 0.3367, 0.0043, 0.0965, 0.0137, 0.0006, 0.0394, 0.1238, 0.087, 0.0191, 0.0083, 0.0104, 0.2056, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 51.0]), label=1.0, probability=DenseVector([0.0555, 0.3528, 0.0039, 0.0891, 0.014, 0.0006, 0.0438, 0.1185, 0.0843, 0.022, 0.0108, 0.015, 0.1894, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.0512, 0.3723, 0.0012, 0.0686, 0.0135, 0.0005, 0.0426, 0.1226, 0.0786, 0.0201, 0.0098, 0.0245, 0.1946, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 33.0, 26.0]), label=4.0, probability=DenseVector([0.4803, 0.0721, 0.0001, 0.0, 0.2172, 0.0, 0.0157, 0.0638, 0.0504, 0.0092, 0.0772, 0.0, 0.014, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 33.0, 37.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 33.0, 40.0]), label=1.0, probability=DenseVector([0.2034, 0.3726, 0.0002, 0.0086, 0.0841, 0.0, 0.0288, 0.086, 0.0588, 0.0123, 0.0466, 0.0033, 0.0953, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 33.0, 41.0]), label=1.0, probability=DenseVector([0.1097, 0.4752, 0.0015, 0.0159, 0.0298, 0.0009, 0.0424, 0.0918, 0.067, 0.0179, 0.0219, 0.004, 0.1221, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 33.0, 47.0]), label=12.0, probability=DenseVector([0.0636, 0.3773, 0.0018, 0.0462, 0.0168, 0.0009, 0.0461, 0.1181, 0.0897, 0.0213, 0.0102, 0.0075, 0.2006, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 33.0, 49.0]), label=12.0, probability=DenseVector([0.0546, 0.3367, 0.0043, 0.0965, 0.0137, 0.0006, 0.0394, 0.1238, 0.087, 0.0191, 0.0083, 0.0104, 0.2056, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 46.0]), label=12.0, probability=DenseVector([0.0919, 0.4224, 0.0016, 0.0272, 0.0247, 0.0002, 0.0452, 0.1123, 0.0809, 0.0196, 0.0165, 0.0071, 0.1503, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 47.0]), label=12.0, probability=DenseVector([0.067, 0.3737, 0.0017, 0.0471, 0.0167, 0.0002, 0.0437, 0.1228, 0.0921, 0.019, 0.0104, 0.0085, 0.197, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 47.0]), label=12.0, probability=DenseVector([0.067, 0.3737, 0.0017, 0.0471, 0.0167, 0.0002, 0.0437, 0.1228, 0.0921, 0.019, 0.0104, 0.0085, 0.197, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 47.0]), label=8.0, probability=DenseVector([0.067, 0.3737, 0.0017, 0.0471, 0.0167, 0.0002, 0.0437, 0.1228, 0.0921, 0.019, 0.0104, 0.0085, 0.197, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 48.0]), label=12.0, probability=DenseVector([0.0599, 0.3442, 0.0041, 0.0749, 0.0149, 0.0001, 0.0416, 0.128, 0.0895, 0.0188, 0.0089, 0.0102, 0.2048, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 48.0]), label=12.0, probability=DenseVector([0.0599, 0.3442, 0.0041, 0.0749, 0.0149, 0.0001, 0.0416, 0.128, 0.0895, 0.0188, 0.0089, 0.0102, 0.2048, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 48.0]), label=12.0, probability=DenseVector([0.0599, 0.3442, 0.0041, 0.0749, 0.0149, 0.0001, 0.0416, 0.128, 0.0895, 0.0188, 0.0089, 0.0102, 0.2048, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 49.0]), label=1.0, probability=DenseVector([0.0599, 0.3442, 0.0041, 0.0749, 0.0149, 0.0001, 0.0416, 0.128, 0.0895, 0.0188, 0.0089, 0.0102, 0.2048, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 31.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 36.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 42.0]), label=1.0, probability=DenseVector([0.1261, 0.4677, 0.0016, 0.0112, 0.0343, 0.0002, 0.0388, 0.103, 0.077, 0.0192, 0.025, 0.0041, 0.0918, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 47.0]), label=12.0, probability=DenseVector([0.0845, 0.3921, 0.0021, 0.0348, 0.0225, 0.0002, 0.044, 0.1326, 0.0957, 0.0214, 0.0142, 0.0074, 0.1484, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 47.0]), label=8.0, probability=DenseVector([0.0845, 0.3921, 0.0021, 0.0348, 0.0225, 0.0002, 0.044, 0.1326, 0.0957, 0.0214, 0.0142, 0.0074, 0.1484, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.1378, 0.4547, 0.0018, 0.01, 0.037, 0.0002, 0.0373, 0.11, 0.083, 0.023, 0.027, 0.0039, 0.0742, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 45.0]), label=8.0, probability=DenseVector([0.1354, 0.4478, 0.0019, 0.0102, 0.0367, 0.0002, 0.0404, 0.1104, 0.0854, 0.0249, 0.0268, 0.0042, 0.0757, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 47.0]), label=12.0, probability=DenseVector([0.1062, 0.3956, 0.0031, 0.0212, 0.0276, 0.0002, 0.0484, 0.1418, 0.1061, 0.0309, 0.0176, 0.0066, 0.0947, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.1062, 0.3956, 0.0031, 0.0212, 0.0276, 0.0002, 0.0484, 0.1418, 0.1061, 0.0309, 0.0176, 0.0066, 0.0947, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 48.0]), label=12.0, probability=DenseVector([0.099, 0.3661, 0.0055, 0.049, 0.0257, 0.0001, 0.0462, 0.1471, 0.1035, 0.0307, 0.0161, 0.0084, 0.1026, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.099, 0.3661, 0.0055, 0.049, 0.0257, 0.0001, 0.0462, 0.1471, 0.1035, 0.0307, 0.0161, 0.0084, 0.1026, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 39.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 42.0]), label=4.0, probability=DenseVector([0.1403, 0.4519, 0.0018, 0.0097, 0.0378, 0.0002, 0.0368, 0.1125, 0.0849, 0.0246, 0.0275, 0.0039, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 46.0]), label=12.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 47.0]), label=12.0, probability=DenseVector([0.1086, 0.3928, 0.0031, 0.0208, 0.0284, 0.0002, 0.0479, 0.1443, 0.108, 0.0324, 0.0182, 0.0065, 0.0889, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 48.0]), label=12.0, probability=DenseVector([0.1015, 0.3633, 0.0055, 0.0486, 0.0265, 0.0001, 0.0457, 0.1495, 0.1054, 0.0322, 0.0167, 0.0083, 0.0967, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 49.0]), label=12.0, probability=DenseVector([0.1015, 0.3633, 0.0055, 0.0486, 0.0265, 0.0001, 0.0457, 0.1495, 0.1054, 0.0322, 0.0167, 0.0083, 0.0967, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.1086, 0.3928, 0.0031, 0.0208, 0.0284, 0.0002, 0.0479, 0.1443, 0.108, 0.0324, 0.0182, 0.0065, 0.0889, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 39.0]), label=10.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 45.0]), label=1.0, probability=DenseVector([0.1379, 0.445, 0.0019, 0.0099, 0.0375, 0.0002, 0.0399, 0.1129, 0.0873, 0.0264, 0.0273, 0.0041, 0.0698, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 46.0]), label=1.0, probability=DenseVector([0.1272, 0.4337, 0.0022, 0.0106, 0.0349, 0.0002, 0.0452, 0.1184, 0.0903, 0.0313, 0.0241, 0.0048, 0.077, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 47.0]), label=1.0, probability=DenseVector([0.1134, 0.3917, 0.0036, 0.02, 0.0295, 0.0002, 0.0513, 0.1322, 0.1049, 0.0388, 0.0191, 0.0067, 0.0886, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 48.0]), label=10.0, probability=DenseVector([0.1063, 0.3622, 0.0059, 0.0479, 0.0276, 0.0001, 0.0492, 0.1374, 0.1024, 0.0386, 0.0176, 0.0085, 0.0964, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 51.0]), label=12.0, probability=DenseVector([0.1019, 0.3741, 0.0049, 0.046, 0.0266, 0.0001, 0.0508, 0.1267, 0.0962, 0.0399, 0.02, 0.0126, 0.1001, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 29.0]), label=4.0, probability=DenseVector([0.3951, 0.0718, 0.0001, 0.0, 0.1759, 0.0, 0.0314, 0.102, 0.1221, 0.0096, 0.0683, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 44.0]), label=1.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 44.0]), label=1.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 45.0]), label=1.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 45.0]), label=1.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 46.0]), label=1.0, probability=DenseVector([0.1281, 0.4234, 0.0031, 0.0079, 0.0359, 0.0002, 0.0494, 0.118, 0.0928, 0.0371, 0.0253, 0.0044, 0.0745, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 47.0]), label=12.0, probability=DenseVector([0.1143, 0.3813, 0.0045, 0.0174, 0.0305, 0.0002, 0.0555, 0.1318, 0.1075, 0.0446, 0.0202, 0.0062, 0.0861, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.1072, 0.3519, 0.0068, 0.0452, 0.0286, 0.0001, 0.0534, 0.137, 0.1049, 0.0443, 0.0187, 0.008, 0.0939, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 41.0, 36.0]), label=12.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 45.0]), label=12.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 46.0]), label=12.0, probability=DenseVector([0.1281, 0.4234, 0.0031, 0.0079, 0.0359, 0.0002, 0.0494, 0.118, 0.0928, 0.0371, 0.0253, 0.0044, 0.0745, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 48.0]), label=12.0, probability=DenseVector([0.1072, 0.3519, 0.0068, 0.0452, 0.0286, 0.0001, 0.0534, 0.137, 0.1049, 0.0443, 0.0187, 0.008, 0.0939, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.1028, 0.3637, 0.0058, 0.0433, 0.0276, 0.0001, 0.0549, 0.1263, 0.0987, 0.0457, 0.0212, 0.0122, 0.0976, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.4271, 0.0689, 0.0001, 0.0, 0.2123, 0.0, 0.0262, 0.0713, 0.0591, 0.0151, 0.0975, 0.0, 0.0224, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.4271, 0.0689, 0.0001, 0.0, 0.2123, 0.0, 0.0262, 0.0713, 0.0591, 0.0151, 0.0975, 0.0, 0.0224, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 37.0]), label=10.0, probability=DenseVector([0.4271, 0.0689, 0.0001, 0.0, 0.2123, 0.0, 0.0262, 0.0713, 0.0591, 0.0151, 0.0975, 0.0, 0.0224, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1441, 0.431, 0.0028, 0.0034, 0.0449, 0.0, 0.0468, 0.1117, 0.0806, 0.0328, 0.0387, 0.0029, 0.0603, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 42.0]), label=1.0, probability=DenseVector([0.1441, 0.431, 0.0028, 0.0034, 0.0449, 0.0, 0.0468, 0.1117, 0.0806, 0.0328, 0.0387, 0.0029, 0.0603, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 44.0]), label=1.0, probability=DenseVector([0.1317, 0.4006, 0.0169, 0.0104, 0.0405, 0.0002, 0.0516, 0.1137, 0.094, 0.0387, 0.0312, 0.0056, 0.0646, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 44.0]), label=1.0, probability=DenseVector([0.1317, 0.4006, 0.0169, 0.0104, 0.0405, 0.0002, 0.0516, 0.1137, 0.094, 0.0387, 0.0312, 0.0056, 0.0646, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 45.0]), label=1.0, probability=DenseVector([0.1317, 0.4006, 0.0169, 0.0104, 0.0405, 0.0002, 0.0516, 0.1137, 0.094, 0.0387, 0.0312, 0.0056, 0.0646, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 46.0]), label=0.0, probability=DenseVector([0.1263, 0.3966, 0.0171, 0.0111, 0.0394, 0.0002, 0.054, 0.1156, 0.0948, 0.0404, 0.0292, 0.006, 0.0691, 0.0003]))
Row(prediction=0.0, features=DenseVector([19.0, 43.0, 33.0]), label=8.0, probability=DenseVector([0.4084, 0.0701, 0.0001, 0.0, 0.2094, 0.0, 0.0313, 0.0744, 0.0656, 0.0166, 0.0991, 0.0, 0.0251, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 43.0, 38.0]), label=10.0, probability=DenseVector([0.4084, 0.0701, 0.0001, 0.0, 0.2094, 0.0, 0.0313, 0.0744, 0.0656, 0.0166, 0.0991, 0.0, 0.0251, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 43.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 43.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 43.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 44.0]), label=1.0, probability=DenseVector([0.1336, 0.3352, 0.0197, 0.0122, 0.0473, 0.0002, 0.0685, 0.1236, 0.1033, 0.0529, 0.0413, 0.0061, 0.0559, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 45.0]), label=1.0, probability=DenseVector([0.1336, 0.3352, 0.0197, 0.0122, 0.0473, 0.0002, 0.0685, 0.1236, 0.1033, 0.0529, 0.0413, 0.0061, 0.0559, 0.0003]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 31.0]), label=4.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 33.0]), label=1.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 37.0]), label=12.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 37.0]), label=10.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 44.0, 39.0]), label=10.0, probability=DenseVector([0.3485, 0.1151, 0.001, 0.0005, 0.1744, 0.0, 0.0598, 0.0874, 0.0705, 0.025, 0.0884, 0.0007, 0.0288, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 42.0]), label=1.0, probability=DenseVector([0.1612, 0.3153, 0.0119, 0.0054, 0.0609, 0.0, 0.089, 0.114, 0.0799, 0.0538, 0.0567, 0.0044, 0.0476, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 45.0]), label=12.0, probability=DenseVector([0.1496, 0.2783, 0.0264, 0.0139, 0.0524, 0.0002, 0.0883, 0.1271, 0.1021, 0.0621, 0.0424, 0.0073, 0.0496, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 45.0]), label=1.0, probability=DenseVector([0.1496, 0.2783, 0.0264, 0.0139, 0.0524, 0.0002, 0.0883, 0.1271, 0.1021, 0.0621, 0.0424, 0.0073, 0.0496, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 45.0]), label=1.0, probability=DenseVector([0.1496, 0.2783, 0.0264, 0.0139, 0.0524, 0.0002, 0.0883, 0.1271, 0.1021, 0.0621, 0.0424, 0.0073, 0.0496, 0.0003]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 31.0]), label=4.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 32.0]), label=8.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 32.0]), label=4.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 36.0]), label=4.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 42.0]), label=0.0, probability=DenseVector([0.1602, 0.2902, 0.0143, 0.0055, 0.0656, 0.0, 0.1053, 0.1121, 0.0787, 0.0573, 0.0575, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 42.0]), label=0.0, probability=DenseVector([0.1602, 0.2902, 0.0143, 0.0055, 0.0656, 0.0, 0.1053, 0.1121, 0.0787, 0.0573, 0.0575, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 42.0]), label=0.0, probability=DenseVector([0.1602, 0.2902, 0.0143, 0.0055, 0.0656, 0.0, 0.1053, 0.1121, 0.0787, 0.0573, 0.0575, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 42.0]), label=0.0, probability=DenseVector([0.1602, 0.2902, 0.0143, 0.0055, 0.0656, 0.0, 0.1053, 0.1121, 0.0787, 0.0573, 0.0575, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 43.0]), label=4.0, probability=DenseVector([0.1602, 0.2902, 0.0143, 0.0055, 0.0656, 0.0, 0.1053, 0.1121, 0.0787, 0.0573, 0.0575, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 48.0]), label=12.0, probability=DenseVector([0.1423, 0.2538, 0.0288, 0.0192, 0.0483, 0.0002, 0.0938, 0.1345, 0.1079, 0.067, 0.0342, 0.0089, 0.0607, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 54.0]), label=4.0, probability=DenseVector([0.1336, 0.2646, 0.0235, 0.0258, 0.0442, 0.0, 0.0905, 0.1198, 0.104, 0.0714, 0.0318, 0.024, 0.0667, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 32.0]), label=7.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 33.0]), label=1.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 35.0]), label=4.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 37.0]), label=1.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 38.0]), label=10.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 42.0]), label=0.0, probability=DenseVector([0.1673, 0.2667, 0.0159, 0.0056, 0.0674, 0.0, 0.1211, 0.1037, 0.08, 0.0631, 0.0558, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 42.0]), label=0.0, probability=DenseVector([0.1673, 0.2667, 0.0159, 0.0056, 0.0674, 0.0, 0.1211, 0.1037, 0.08, 0.0631, 0.0558, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 42.0]), label=0.0, probability=DenseVector([0.1673, 0.2667, 0.0159, 0.0056, 0.0674, 0.0, 0.1211, 0.1037, 0.08, 0.0631, 0.0558, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 42.0]), label=0.0, probability=DenseVector([0.1673, 0.2667, 0.0159, 0.0056, 0.0674, 0.0, 0.1211, 0.1037, 0.08, 0.0631, 0.0558, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 42.0]), label=4.0, probability=DenseVector([0.1673, 0.2667, 0.0159, 0.0056, 0.0674, 0.0, 0.1211, 0.1037, 0.08, 0.0631, 0.0558, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 43.0]), label=0.0, probability=DenseVector([0.1673, 0.2667, 0.0159, 0.0056, 0.0674, 0.0, 0.1211, 0.1037, 0.08, 0.0631, 0.0558, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 43.0]), label=0.0, probability=DenseVector([0.1673, 0.2667, 0.0159, 0.0056, 0.0674, 0.0, 0.1211, 0.1037, 0.08, 0.0631, 0.0558, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 43.0]), label=1.0, probability=DenseVector([0.1673, 0.2667, 0.0159, 0.0056, 0.0674, 0.0, 0.1211, 0.1037, 0.08, 0.0631, 0.0558, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 45.0]), label=0.0, probability=DenseVector([0.1444, 0.2338, 0.0501, 0.0181, 0.0559, 0.0002, 0.1099, 0.1198, 0.1009, 0.0697, 0.0419, 0.0089, 0.0461, 0.0004]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 50.0]), label=1.0, probability=DenseVector([0.1278, 0.226, 0.0494, 0.0224, 0.0554, 0.0002, 0.114, 0.117, 0.1043, 0.0665, 0.0437, 0.0157, 0.0573, 0.0004]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 31.0]), label=1.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 34.0]), label=4.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 40.0]), label=1.0, probability=DenseVector([0.2207, 0.1926, 0.0092, 0.0017, 0.1133, 0.0, 0.1452, 0.0737, 0.0684, 0.0514, 0.076, 0.0024, 0.0453, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 40.0]), label=1.0, probability=DenseVector([0.2207, 0.1926, 0.0092, 0.0017, 0.1133, 0.0, 0.1452, 0.0737, 0.0684, 0.0514, 0.076, 0.0024, 0.0453, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 47.0, 47.0]), label=0.0, probability=DenseVector([0.1423, 0.1701, 0.0488, 0.0176, 0.075, 0.0002, 0.1867, 0.0879, 0.0942, 0.0743, 0.0483, 0.0092, 0.045, 0.0004]))
Row(prediction=1.0, features=DenseVector([19.0, 47.0, 52.0]), label=1.0, probability=DenseVector([0.1098, 0.183, 0.0337, 0.0365, 0.0741, 0.0009, 0.1578, 0.0789, 0.1035, 0.1013, 0.0439, 0.0257, 0.0508, 0.0001]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 34.0]), label=12.0, probability=DenseVector([0.2405, 0.0606, 0.0021, 0.0017, 0.0841, 0.0, 0.4336, 0.0329, 0.0418, 0.037, 0.04, 0.001, 0.0247, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 34.0]), label=0.0, probability=DenseVector([0.2405, 0.0606, 0.0021, 0.0017, 0.0841, 0.0, 0.4336, 0.0329, 0.0418, 0.037, 0.04, 0.001, 0.0247, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 36.0]), label=4.0, probability=DenseVector([0.2419, 0.0665, 0.0021, 0.0017, 0.0838, 0.0, 0.4196, 0.0338, 0.0425, 0.0413, 0.0421, 0.001, 0.0237, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 37.0]), label=4.0, probability=DenseVector([0.2419, 0.0665, 0.0021, 0.0017, 0.0838, 0.0, 0.4196, 0.0338, 0.0425, 0.0413, 0.0421, 0.001, 0.0237, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 38.0]), label=4.0, probability=DenseVector([0.2419, 0.0665, 0.0021, 0.0017, 0.0838, 0.0, 0.4196, 0.0338, 0.0425, 0.0413, 0.0421, 0.001, 0.0237, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 41.0]), label=4.0, probability=DenseVector([0.1663, 0.1638, 0.0273, 0.0057, 0.0904, 0.0, 0.2799, 0.0446, 0.0574, 0.0547, 0.0593, 0.0039, 0.0465, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 29.0]), label=1.0, probability=DenseVector([0.1904, 0.0474, 0.0017, 0.0017, 0.0497, 0.0, 0.5669, 0.0469, 0.0458, 0.0206, 0.0126, 0.001, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 35.0]), label=1.0, probability=DenseVector([0.2193, 0.0687, 0.0019, 0.0017, 0.0696, 0.0, 0.4637, 0.0364, 0.0426, 0.0379, 0.0367, 0.001, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 46.0]), label=4.0, probability=DenseVector([0.1421, 0.1371, 0.0473, 0.0146, 0.0973, 0.0002, 0.2587, 0.051, 0.0747, 0.0609, 0.0595, 0.0091, 0.047, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 48.0]), label=10.0, probability=DenseVector([0.1323, 0.1241, 0.0468, 0.023, 0.0945, 0.0002, 0.2349, 0.064, 0.0862, 0.0739, 0.0533, 0.0155, 0.0509, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 41.0]), label=10.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 52.0, 50.0]), label=1.0, probability=DenseVector([0.1109, 0.1443, 0.045, 0.0237, 0.0964, 0.0002, 0.2343, 0.0514, 0.0887, 0.0805, 0.059, 0.0218, 0.0433, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 53.0, 46.0]), label=12.0, probability=DenseVector([0.1444, 0.1357, 0.0342, 0.0137, 0.1013, 0.0002, 0.2636, 0.0483, 0.0722, 0.0664, 0.0643, 0.0079, 0.0475, 0.0003]))
Row(prediction=1.0, features=DenseVector([20.0, 3.0, 40.0]), label=1.0, probability=DenseVector([0.0634, 0.2872, 0.0055, 0.0767, 0.0359, 0.047, 0.2603, 0.0211, 0.0136, 0.0372, 0.0784, 0.019, 0.0548, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 20.0, 32.0]), label=1.0, probability=DenseVector([0.0752, 0.2619, 0.0, 0.0583, 0.1127, 0.009, 0.1478, 0.0239, 0.0117, 0.0412, 0.2185, 0.0002, 0.0395, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 22.0, 47.0]), label=1.0, probability=DenseVector([0.0261, 0.2526, 0.0134, 0.3816, 0.0081, 0.0189, 0.0456, 0.0616, 0.0585, 0.0252, 0.003, 0.0156, 0.0892, 0.0005]))
Row(prediction=3.0, features=DenseVector([20.0, 23.0, 50.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 24.0, 47.0]), label=12.0, probability=DenseVector([0.0261, 0.2526, 0.0134, 0.3816, 0.0081, 0.0189, 0.0456, 0.0616, 0.0585, 0.0252, 0.003, 0.0156, 0.0892, 0.0005]))
Row(prediction=3.0, features=DenseVector([20.0, 25.0, 47.0]), label=1.0, probability=DenseVector([0.0261, 0.2526, 0.0134, 0.3816, 0.0081, 0.0189, 0.0456, 0.0616, 0.0585, 0.0252, 0.003, 0.0156, 0.0892, 0.0005]))
Row(prediction=3.0, features=DenseVector([20.0, 26.0, 48.0]), label=1.0, probability=DenseVector([0.0154, 0.2019, 0.0203, 0.4385, 0.0034, 0.015, 0.0279, 0.0725, 0.0664, 0.0248, 0.0012, 0.0218, 0.09, 0.0007]))
Row(prediction=3.0, features=DenseVector([20.0, 27.0, 44.0]), label=1.0, probability=DenseVector([0.0418, 0.274, 0.0256, 0.2829, 0.0165, 0.0121, 0.078, 0.0638, 0.0644, 0.0294, 0.0071, 0.0154, 0.0887, 0.0004]))
Row(prediction=3.0, features=DenseVector([20.0, 27.0, 46.0]), label=12.0, probability=DenseVector([0.0411, 0.2662, 0.0261, 0.2986, 0.0155, 0.0115, 0.0676, 0.0655, 0.0665, 0.03, 0.007, 0.0161, 0.0879, 0.0005]))
Row(prediction=3.0, features=DenseVector([20.0, 27.0, 47.0]), label=12.0, probability=DenseVector([0.0335, 0.2383, 0.0272, 0.3446, 0.0114, 0.0107, 0.0494, 0.0705, 0.0703, 0.0303, 0.0051, 0.0178, 0.0905, 0.0005]))
Row(prediction=3.0, features=DenseVector([20.0, 27.0, 48.0]), label=1.0, probability=DenseVector([0.0154, 0.2019, 0.0203, 0.4385, 0.0034, 0.015, 0.0279, 0.0725, 0.0664, 0.0248, 0.0012, 0.0218, 0.09, 0.0007]))
Row(prediction=3.0, features=DenseVector([20.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 28.0, 63.0]), label=1.0, probability=DenseVector([0.0112, 0.2036, 0.0219, 0.3409, 0.0043, 0.0085, 0.018, 0.0642, 0.0849, 0.0899, 0.0012, 0.023, 0.1274, 0.0009]))
Row(prediction=6.0, features=DenseVector([20.0, 29.0, 41.0]), label=1.0, probability=DenseVector([0.0881, 0.2525, 0.0087, 0.0381, 0.0459, 0.0056, 0.2934, 0.0373, 0.0298, 0.0426, 0.0915, 0.0038, 0.0628, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 44.0]), label=12.0, probability=DenseVector([0.0418, 0.274, 0.0256, 0.2829, 0.0165, 0.0121, 0.078, 0.0638, 0.0644, 0.0294, 0.0071, 0.0154, 0.0887, 0.0004]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 48.0]), label=12.0, probability=DenseVector([0.0154, 0.2019, 0.0203, 0.4385, 0.0034, 0.015, 0.0279, 0.0725, 0.0664, 0.0248, 0.0012, 0.0218, 0.09, 0.0007]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 48.0]), label=12.0, probability=DenseVector([0.0154, 0.2019, 0.0203, 0.4385, 0.0034, 0.015, 0.0279, 0.0725, 0.0664, 0.0248, 0.0012, 0.0218, 0.09, 0.0007]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 50.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 53.0]), label=12.0, probability=DenseVector([0.0132, 0.2217, 0.0232, 0.3811, 0.0042, 0.0099, 0.0204, 0.0801, 0.0751, 0.0308, 0.0007, 0.0307, 0.1081, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 46.0]), label=7.0, probability=DenseVector([0.0432, 0.2581, 0.0385, 0.2781, 0.0164, 0.0104, 0.069, 0.07, 0.0731, 0.032, 0.0076, 0.0173, 0.0856, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 52.0]), label=12.0, probability=DenseVector([0.0146, 0.2262, 0.0232, 0.3824, 0.0034, 0.0099, 0.0211, 0.0869, 0.0756, 0.0273, 0.0007, 0.0347, 0.0931, 0.001]))
Row(prediction=6.0, features=DenseVector([20.0, 31.0, 28.0]), label=1.0, probability=DenseVector([0.0883, 0.1186, 0.0012, 0.0012, 0.1134, 0.0, 0.2958, 0.0533, 0.0296, 0.0505, 0.2188, 0.0069, 0.0224, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 46.0]), label=1.0, probability=DenseVector([0.0432, 0.2581, 0.0385, 0.2781, 0.0164, 0.0104, 0.069, 0.07, 0.0731, 0.032, 0.0076, 0.0173, 0.0856, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 50.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=10.0, features=DenseVector([20.0, 32.0, 36.0]), label=4.0, probability=DenseVector([0.131, 0.0638, 0.0013, 0.0016, 0.187, 0.0, 0.1571, 0.0259, 0.0132, 0.0219, 0.3767, 0.0005, 0.0199, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 46.0]), label=1.0, probability=DenseVector([0.0432, 0.2581, 0.0385, 0.2781, 0.0164, 0.0104, 0.069, 0.07, 0.0731, 0.032, 0.0076, 0.0173, 0.0856, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 51.0]), label=7.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=10.0, features=DenseVector([20.0, 33.0, 29.0]), label=1.0, probability=DenseVector([0.1134, 0.0645, 0.0014, 0.0012, 0.1408, 0.0, 0.288, 0.0445, 0.0176, 0.017, 0.2901, 0.0005, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 33.0, 31.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 46.0]), label=12.0, probability=DenseVector([0.0432, 0.2581, 0.0385, 0.2781, 0.0164, 0.0104, 0.069, 0.07, 0.0731, 0.032, 0.0076, 0.0173, 0.0856, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 47.0]), label=1.0, probability=DenseVector([0.0356, 0.2302, 0.0395, 0.324, 0.0124, 0.0096, 0.0508, 0.075, 0.0769, 0.0323, 0.0056, 0.019, 0.0881, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 48.0]), label=7.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.0134, 0.1995, 0.0328, 0.3991, 0.0025, 0.0098, 0.0192, 0.0868, 0.0975, 0.0303, 0.0009, 0.0306, 0.076, 0.0014]))
Row(prediction=10.0, features=DenseVector([20.0, 34.0, 31.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 34.0, 31.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 34.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 34.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 48.0]), label=7.0, probability=DenseVector([0.0338, 0.1811, 0.0673, 0.3038, 0.009, 0.0192, 0.0341, 0.1067, 0.1054, 0.0295, 0.0045, 0.0292, 0.0751, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 49.0]), label=12.0, probability=DenseVector([0.0324, 0.182, 0.0604, 0.3159, 0.0082, 0.0199, 0.0314, 0.1064, 0.1048, 0.0286, 0.0041, 0.0297, 0.075, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0324, 0.182, 0.0604, 0.3159, 0.0082, 0.0199, 0.0314, 0.1064, 0.1048, 0.0286, 0.0041, 0.0297, 0.075, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 49.0]), label=12.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.1454, 0.0514, 0.0025, 0.002, 0.1922, 0.0, 0.138, 0.0261, 0.015, 0.0143, 0.3935, 0.0006, 0.0188, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 36.0, 42.0]), label=1.0, probability=DenseVector([0.0873, 0.2139, 0.0528, 0.1107, 0.0442, 0.0039, 0.1116, 0.094, 0.0932, 0.0364, 0.0664, 0.0227, 0.0625, 0.0003]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 48.0]), label=12.0, probability=DenseVector([0.0428, 0.1737, 0.0892, 0.223, 0.0121, 0.0185, 0.0413, 0.1237, 0.1264, 0.0342, 0.006, 0.0364, 0.0713, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 48.0]), label=7.0, probability=DenseVector([0.0428, 0.1737, 0.0892, 0.223, 0.0121, 0.0185, 0.0413, 0.1237, 0.1264, 0.0342, 0.006, 0.0364, 0.0713, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 48.0]), label=7.0, probability=DenseVector([0.0428, 0.1737, 0.0892, 0.223, 0.0121, 0.0185, 0.0413, 0.1237, 0.1264, 0.0342, 0.006, 0.0364, 0.0713, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 50.0]), label=7.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 50.0]), label=7.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 51.0]), label=12.0, probability=DenseVector([0.0391, 0.1708, 0.0891, 0.2394, 0.0103, 0.0231, 0.0362, 0.1198, 0.1273, 0.0333, 0.0054, 0.0362, 0.0688, 0.0013]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 37.0, 43.0]), label=12.0, probability=DenseVector([0.0678, 0.2211, 0.0821, 0.1523, 0.0224, 0.0115, 0.0685, 0.1099, 0.1165, 0.0357, 0.0172, 0.0294, 0.0647, 0.001]))
Row(prediction=1.0, features=DenseVector([20.0, 37.0, 46.0]), label=12.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 37.0, 47.0]), label=12.0, probability=DenseVector([0.0574, 0.2006, 0.0905, 0.1703, 0.0184, 0.014, 0.0575, 0.1181, 0.1243, 0.0367, 0.0091, 0.0314, 0.0704, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 48.0]), label=1.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.0427, 0.1688, 0.0895, 0.2209, 0.012, 0.03, 0.0379, 0.123, 0.128, 0.0328, 0.0066, 0.0374, 0.0685, 0.0019]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0403, 0.1649, 0.0963, 0.2252, 0.011, 0.0339, 0.0354, 0.1194, 0.1295, 0.0328, 0.0063, 0.0366, 0.0662, 0.0021]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.0873, 0.2139, 0.0528, 0.1107, 0.0442, 0.0039, 0.1116, 0.094, 0.0932, 0.0364, 0.0664, 0.0227, 0.0625, 0.0003]))
Row(prediction=1.0, features=DenseVector([20.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.0678, 0.2211, 0.0821, 0.1523, 0.0224, 0.0115, 0.0685, 0.1099, 0.1165, 0.0357, 0.0172, 0.0294, 0.0647, 0.001]))
Row(prediction=1.0, features=DenseVector([20.0, 38.0, 46.0]), label=12.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 38.0, 46.0]), label=1.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.0574, 0.2006, 0.0905, 0.1703, 0.0184, 0.014, 0.0575, 0.1181, 0.1243, 0.0367, 0.0091, 0.0314, 0.0704, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 48.0]), label=7.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 48.0]), label=7.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 48.0]), label=1.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 49.0]), label=1.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 49.0]), label=7.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.0873, 0.2139, 0.0528, 0.1107, 0.0442, 0.0039, 0.1116, 0.094, 0.0932, 0.0364, 0.0664, 0.0227, 0.0625, 0.0003]))
Row(prediction=1.0, features=DenseVector([20.0, 39.0, 46.0]), label=8.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 39.0, 48.0]), label=1.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 39.0, 49.0]), label=1.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 40.0, 46.0]), label=3.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 40.0, 47.0]), label=1.0, probability=DenseVector([0.0649, 0.1732, 0.1362, 0.121, 0.02, 0.0085, 0.0615, 0.106, 0.1367, 0.0489, 0.0113, 0.0335, 0.0771, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.0524, 0.1515, 0.1344, 0.1635, 0.0146, 0.0084, 0.0505, 0.1118, 0.1398, 0.0461, 0.0083, 0.0378, 0.0795, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 40.0, 49.0]), label=1.0, probability=DenseVector([0.0511, 0.1524, 0.1274, 0.1757, 0.0137, 0.0091, 0.0479, 0.1115, 0.1392, 0.0453, 0.0079, 0.0383, 0.0793, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 40.0, 51.0]), label=12.0, probability=DenseVector([0.0511, 0.1524, 0.1274, 0.1757, 0.0137, 0.0091, 0.0479, 0.1115, 0.1392, 0.0453, 0.0079, 0.0383, 0.0793, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.0545, 0.1588, 0.1203, 0.1753, 0.0141, 0.0147, 0.0409, 0.1031, 0.1443, 0.0528, 0.0077, 0.0473, 0.0644, 0.0017]))
Row(prediction=10.0, features=DenseVector([20.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 46.0]), label=12.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 46.0]), label=0.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 46.0]), label=4.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 46.0]), label=1.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 46.0]), label=1.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0649, 0.1732, 0.1362, 0.121, 0.02, 0.0085, 0.0615, 0.106, 0.1367, 0.0489, 0.0113, 0.0335, 0.0771, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0649, 0.1732, 0.1362, 0.121, 0.02, 0.0085, 0.0615, 0.106, 0.1367, 0.0489, 0.0113, 0.0335, 0.0771, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0649, 0.1732, 0.1362, 0.121, 0.02, 0.0085, 0.0615, 0.106, 0.1367, 0.0489, 0.0113, 0.0335, 0.0771, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0649, 0.1732, 0.1362, 0.121, 0.02, 0.0085, 0.0615, 0.106, 0.1367, 0.0489, 0.0113, 0.0335, 0.0771, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 47.0]), label=3.0, probability=DenseVector([0.0649, 0.1732, 0.1362, 0.121, 0.02, 0.0085, 0.0615, 0.106, 0.1367, 0.0489, 0.0113, 0.0335, 0.0771, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.0545, 0.1588, 0.1203, 0.1753, 0.0141, 0.0147, 0.0409, 0.1031, 0.1443, 0.0528, 0.0077, 0.0473, 0.0644, 0.0017]))
Row(prediction=10.0, features=DenseVector([20.0, 42.0, 37.0]), label=1.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 42.0]), label=4.0, probability=DenseVector([0.0976, 0.187, 0.091, 0.0583, 0.054, 0.0027, 0.1406, 0.0776, 0.0892, 0.0492, 0.0757, 0.0188, 0.0578, 0.0004]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 44.0]), label=12.0, probability=DenseVector([0.0664, 0.169, 0.1576, 0.1134, 0.0217, 0.0084, 0.0636, 0.0976, 0.1368, 0.0524, 0.013, 0.0334, 0.065, 0.0017]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 45.0]), label=12.0, probability=DenseVector([0.0664, 0.169, 0.1576, 0.1134, 0.0217, 0.0084, 0.0636, 0.0976, 0.1368, 0.0524, 0.013, 0.0334, 0.065, 0.0017]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 45.0]), label=0.0, probability=DenseVector([0.0664, 0.169, 0.1576, 0.1134, 0.0217, 0.0084, 0.0636, 0.0976, 0.1368, 0.0524, 0.013, 0.0334, 0.065, 0.0017]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 46.0]), label=0.0, probability=DenseVector([0.0664, 0.169, 0.1576, 0.1134, 0.0217, 0.0084, 0.0636, 0.0976, 0.1368, 0.0524, 0.013, 0.0334, 0.065, 0.0017]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 46.0]), label=0.0, probability=DenseVector([0.0664, 0.169, 0.1576, 0.1134, 0.0217, 0.0084, 0.0636, 0.0976, 0.1368, 0.0524, 0.013, 0.0334, 0.065, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0602, 0.1548, 0.1578, 0.1208, 0.0201, 0.0084, 0.0637, 0.1025, 0.1394, 0.0527, 0.0114, 0.0339, 0.0724, 0.0017]))
Row(prediction=3.0, features=DenseVector([20.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.0511, 0.1456, 0.1472, 0.1598, 0.0153, 0.0092, 0.0519, 0.107, 0.141, 0.0493, 0.0089, 0.0373, 0.0749, 0.0015]))
Row(prediction=10.0, features=DenseVector([20.0, 43.0, 32.0]), label=10.0, probability=DenseVector([0.1889, 0.0559, 0.0045, 0.0023, 0.1672, 0.0001, 0.1923, 0.0245, 0.0263, 0.021, 0.2948, 0.0011, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 43.0, 33.0]), label=4.0, probability=DenseVector([0.1889, 0.0559, 0.0045, 0.0023, 0.1672, 0.0001, 0.1923, 0.0245, 0.0263, 0.021, 0.2948, 0.0011, 0.021, 0.0]))
Row(prediction=6.0, features=DenseVector([20.0, 43.0, 41.0]), label=4.0, probability=DenseVector([0.1556, 0.1658, 0.0222, 0.0072, 0.0866, 0.0001, 0.2245, 0.0446, 0.0356, 0.047, 0.1675, 0.0034, 0.0399, 0.0]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 45.0]), label=1.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 46.0]), label=0.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 46.0]), label=1.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=10.0, features=DenseVector([20.0, 44.0, 32.0]), label=4.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 44.0, 42.0]), label=1.0, probability=DenseVector([0.1089, 0.1556, 0.1035, 0.0586, 0.0498, 0.0026, 0.1861, 0.0762, 0.0915, 0.0558, 0.0462, 0.0187, 0.0459, 0.0006]))
Row(prediction=1.0, features=DenseVector([20.0, 44.0, 43.0]), label=1.0, probability=DenseVector([0.0903, 0.1574, 0.1392, 0.0868, 0.0396, 0.0058, 0.1133, 0.0883, 0.1157, 0.0566, 0.0306, 0.0262, 0.0491, 0.0012]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 44.0]), label=3.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=1.0, features=DenseVector([20.0, 44.0, 56.0]), label=3.0, probability=DenseVector([0.057, 0.1619, 0.1184, 0.1268, 0.0253, 0.0115, 0.0511, 0.0857, 0.1481, 0.0962, 0.0153, 0.0428, 0.0589, 0.001]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 39.0]), label=10.0, probability=DenseVector([0.1827, 0.1261, 0.0169, 0.0052, 0.0938, 0.0, 0.2796, 0.0275, 0.027, 0.0386, 0.166, 0.0025, 0.0337, 0.0002]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 44.0]), label=3.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 44.0]), label=0.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 44.0]), label=1.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 46.0]), label=1.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=1.0, features=DenseVector([20.0, 45.0, 55.0]), label=1.0, probability=DenseVector([0.0563, 0.158, 0.1477, 0.1326, 0.0223, 0.0123, 0.0536, 0.0886, 0.1435, 0.0759, 0.0121, 0.0422, 0.0505, 0.0045]))
Row(prediction=6.0, features=DenseVector([20.0, 46.0, 37.0]), label=12.0, probability=DenseVector([0.2084, 0.0652, 0.0119, 0.0084, 0.1236, 0.0, 0.2899, 0.0239, 0.0349, 0.0311, 0.1781, 0.0025, 0.0218, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 46.0, 40.0]), label=1.0, probability=DenseVector([0.1795, 0.1207, 0.0253, 0.0105, 0.0858, 0.0, 0.3032, 0.027, 0.0324, 0.0446, 0.136, 0.0035, 0.0311, 0.0003]))
Row(prediction=2.0, features=DenseVector([20.0, 46.0, 44.0]), label=1.0, probability=DenseVector([0.0536, 0.1245, 0.2412, 0.0913, 0.027, 0.0016, 0.0912, 0.0875, 0.1256, 0.0618, 0.0188, 0.0277, 0.0372, 0.0111]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 37.0]), label=4.0, probability=DenseVector([0.1938, 0.0638, 0.017, 0.0144, 0.0948, 0.0, 0.3721, 0.0225, 0.0405, 0.0398, 0.1152, 0.0039, 0.0221, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 38.0]), label=12.0, probability=DenseVector([0.1857, 0.0684, 0.018, 0.0148, 0.0929, 0.0, 0.3708, 0.0226, 0.039, 0.0412, 0.1192, 0.0039, 0.0232, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 42.0]), label=1.0, probability=DenseVector([0.0933, 0.1158, 0.1428, 0.0541, 0.0521, 0.0006, 0.2476, 0.0575, 0.0793, 0.0579, 0.043, 0.0169, 0.0349, 0.0042]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 42.0]), label=1.0, probability=DenseVector([0.0933, 0.1158, 0.1428, 0.0541, 0.0521, 0.0006, 0.2476, 0.0575, 0.0793, 0.0579, 0.043, 0.0169, 0.0349, 0.0042]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 44.0]), label=1.0, probability=DenseVector([0.0513, 0.1131, 0.242, 0.0894, 0.0295, 0.0016, 0.115, 0.0778, 0.1207, 0.0617, 0.0228, 0.0278, 0.0361, 0.0111]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0513, 0.1131, 0.242, 0.0894, 0.0295, 0.0016, 0.115, 0.0778, 0.1207, 0.0617, 0.0228, 0.0278, 0.0361, 0.0111]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 46.0]), label=1.0, probability=DenseVector([0.0513, 0.1131, 0.242, 0.0894, 0.0295, 0.0016, 0.115, 0.0778, 0.1207, 0.0617, 0.0228, 0.0278, 0.0361, 0.0111]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 47.0]), label=1.0, probability=DenseVector([0.0513, 0.1131, 0.242, 0.0894, 0.0295, 0.0016, 0.115, 0.0778, 0.1207, 0.0617, 0.0228, 0.0278, 0.0361, 0.0111]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 38.0]), label=1.0, probability=DenseVector([0.1095, 0.0519, 0.0298, 0.0272, 0.0432, 0.0, 0.5672, 0.0243, 0.0417, 0.043, 0.0389, 0.0065, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 43.0]), label=4.0, probability=DenseVector([0.062, 0.1038, 0.1948, 0.0716, 0.0453, 0.0007, 0.221, 0.0605, 0.0866, 0.0651, 0.0301, 0.0185, 0.0338, 0.0063]))
Row(prediction=6.0, features=DenseVector([20.0, 55.0, 35.0]), label=1.0, probability=DenseVector([0.0725, 0.0378, 0.0201, 0.0284, 0.0235, 0.0, 0.7001, 0.0178, 0.0382, 0.0339, 0.006, 0.006, 0.0156, 0.0001]))
Row(prediction=6.0, features=DenseVector([20.0, 57.0, 39.0]), label=4.0, probability=DenseVector([0.0583, 0.0315, 0.0213, 0.0249, 0.0189, 0.0, 0.7332, 0.0144, 0.0345, 0.0389, 0.0074, 0.0052, 0.0116, 0.0001]))
Row(prediction=9.0, features=DenseVector([20.0, 57.0, 55.0]), label=1.0, probability=DenseVector([0.0413, 0.114, 0.1046, 0.0804, 0.0484, 0.0011, 0.1034, 0.0553, 0.1409, 0.2113, 0.0275, 0.0303, 0.0384, 0.0032]))
Row(prediction=1.0, features=DenseVector([21.0, 15.0, 38.0]), label=1.0, probability=DenseVector([0.0776, 0.2514, 0.001, 0.075, 0.1061, 0.0091, 0.1634, 0.0236, 0.0123, 0.0383, 0.2025, 0.0004, 0.0394, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 17.0, 41.0]), label=1.0, probability=DenseVector([0.0683, 0.2927, 0.0068, 0.0763, 0.0354, 0.0658, 0.2387, 0.0218, 0.0174, 0.0292, 0.0803, 0.0031, 0.0642, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 22.0, 45.0]), label=1.0, probability=DenseVector([0.0243, 0.2647, 0.018, 0.3627, 0.0112, 0.0262, 0.072, 0.0463, 0.0486, 0.0243, 0.0037, 0.0144, 0.0821, 0.0015]))
Row(prediction=3.0, features=DenseVector([21.0, 22.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([21.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 45.0]), label=12.0, probability=DenseVector([0.0243, 0.2647, 0.018, 0.3627, 0.0112, 0.0262, 0.072, 0.0463, 0.0486, 0.0243, 0.0037, 0.0144, 0.0821, 0.0015]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 45.0]), label=3.0, probability=DenseVector([0.0243, 0.2647, 0.018, 0.3627, 0.0112, 0.0262, 0.072, 0.0463, 0.0486, 0.0243, 0.0037, 0.0144, 0.0821, 0.0015]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 46.0]), label=3.0, probability=DenseVector([0.0237, 0.2569, 0.0185, 0.3785, 0.0101, 0.0255, 0.0616, 0.0481, 0.0507, 0.0249, 0.0036, 0.0151, 0.0813, 0.0015]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 46.0]), label=3.0, probability=DenseVector([0.0237, 0.2569, 0.0185, 0.3785, 0.0101, 0.0255, 0.0616, 0.0481, 0.0507, 0.0249, 0.0036, 0.0151, 0.0813, 0.0015]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 46.0]), label=3.0, probability=DenseVector([0.0237, 0.2569, 0.0185, 0.3785, 0.0101, 0.0255, 0.0616, 0.0481, 0.0507, 0.0249, 0.0036, 0.0151, 0.0813, 0.0015]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 46.0]), label=3.0, probability=DenseVector([0.0237, 0.2569, 0.0185, 0.3785, 0.0101, 0.0255, 0.0616, 0.0481, 0.0507, 0.0249, 0.0036, 0.0151, 0.0813, 0.0015]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([21.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 24.0, 46.0]), label=3.0, probability=DenseVector([0.0237, 0.2569, 0.0185, 0.3785, 0.0101, 0.0255, 0.0616, 0.0481, 0.0507, 0.0249, 0.0036, 0.0151, 0.0813, 0.0015]))
Row(prediction=3.0, features=DenseVector([21.0, 24.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([21.0, 24.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 25.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([21.0, 27.0, 35.0]), label=1.0, probability=DenseVector([0.0887, 0.1195, 0.0012, 0.0018, 0.1307, 0.0001, 0.2775, 0.0284, 0.0132, 0.0546, 0.2531, 0.0025, 0.0286, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 27.0, 45.0]), label=1.0, probability=DenseVector([0.0338, 0.2423, 0.047, 0.2987, 0.0155, 0.0175, 0.079, 0.059, 0.0663, 0.0322, 0.0065, 0.0177, 0.0828, 0.0018]))
Row(prediction=3.0, features=DenseVector([21.0, 27.0, 48.0]), label=1.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 27.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 27.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 27.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 28.0, 47.0]), label=12.0, probability=DenseVector([0.0318, 0.2207, 0.0483, 0.3531, 0.012, 0.0161, 0.0502, 0.0609, 0.0697, 0.0327, 0.0061, 0.0196, 0.0771, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 28.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 28.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 28.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 28.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 28.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 28.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 28.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([21.0, 29.0, 36.0]), label=1.0, probability=DenseVector([0.0887, 0.1195, 0.0012, 0.0018, 0.1307, 0.0001, 0.2775, 0.0284, 0.0132, 0.0546, 0.2531, 0.0025, 0.0286, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 48.0]), label=12.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 44.0]), label=1.0, probability=DenseVector([0.0358, 0.2342, 0.0594, 0.2782, 0.0165, 0.0164, 0.0804, 0.0635, 0.0729, 0.0342, 0.0071, 0.0188, 0.0805, 0.0021]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 47.0]), label=3.0, probability=DenseVector([0.0338, 0.2126, 0.0607, 0.3325, 0.013, 0.015, 0.0516, 0.0654, 0.0763, 0.0347, 0.0066, 0.0207, 0.0748, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 48.0]), label=12.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 51.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 51.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 45.0]), label=12.0, probability=DenseVector([0.0358, 0.2342, 0.0594, 0.2782, 0.0165, 0.0164, 0.0804, 0.0635, 0.0729, 0.0342, 0.0071, 0.0188, 0.0805, 0.0021]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 47.0]), label=12.0, probability=DenseVector([0.0338, 0.2126, 0.0607, 0.3325, 0.013, 0.015, 0.0516, 0.0654, 0.0763, 0.0347, 0.0066, 0.0207, 0.0748, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=4.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 50.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 57.0]), label=1.0, probability=DenseVector([0.0138, 0.2234, 0.0286, 0.3555, 0.0038, 0.0091, 0.0202, 0.0799, 0.08, 0.043, 0.0014, 0.0443, 0.0961, 0.001]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 46.0]), label=12.0, probability=DenseVector([0.0352, 0.2264, 0.0598, 0.2939, 0.0155, 0.0157, 0.07, 0.0653, 0.075, 0.0348, 0.007, 0.0196, 0.0797, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=10.0, features=DenseVector([21.0, 34.0, 31.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 34.0, 32.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 34.0, 42.0]), label=4.0, probability=DenseVector([0.0743, 0.2, 0.0499, 0.1481, 0.0448, 0.0108, 0.1376, 0.0744, 0.0758, 0.0356, 0.0657, 0.0183, 0.0631, 0.0015]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 48.0]), label=12.0, probability=DenseVector([0.0341, 0.174, 0.0792, 0.3156, 0.01, 0.0251, 0.033, 0.0948, 0.1056, 0.0316, 0.0055, 0.0317, 0.0574, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 50.0]), label=7.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 51.0]), label=8.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 51.0]), label=8.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=10.0, features=DenseVector([21.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 48.0]), label=1.0, probability=DenseVector([0.0432, 0.1666, 0.1011, 0.2348, 0.013, 0.0244, 0.0402, 0.1118, 0.1265, 0.0363, 0.007, 0.0389, 0.0535, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 50.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 50.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 30.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 37.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 48.0]), label=7.0, probability=DenseVector([0.0432, 0.1666, 0.1011, 0.2348, 0.013, 0.0244, 0.0402, 0.1118, 0.1265, 0.0363, 0.007, 0.0389, 0.0535, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 54.0]), label=4.0, probability=DenseVector([0.0377, 0.1787, 0.104, 0.2029, 0.011, 0.0244, 0.0273, 0.1126, 0.1448, 0.0496, 0.0062, 0.0502, 0.0488, 0.0019]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 37.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 37.0, 47.0]), label=7.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([21.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 48.0]), label=7.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=6.0, features=DenseVector([21.0, 38.0, 27.0]), label=4.0, probability=DenseVector([0.1115, 0.0639, 0.0014, 0.0012, 0.1454, 0.0, 0.2992, 0.0295, 0.0228, 0.017, 0.2772, 0.0005, 0.0304, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 38.0, 45.0]), label=1.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([21.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 38.0, 48.0]), label=7.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 38.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 38.0, 50.0]), label=12.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([21.0, 38.0, 50.0]), label=7.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=6.0, features=DenseVector([21.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1281, 0.1704, 0.0257, 0.0436, 0.0819, 0.0062, 0.1965, 0.0429, 0.0365, 0.0372, 0.1778, 0.0072, 0.0448, 0.0012]))
Row(prediction=1.0, features=DenseVector([21.0, 39.0, 47.0]), label=12.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=10.0, features=DenseVector([21.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=6.0, features=DenseVector([21.0, 40.0, 41.0]), label=12.0, probability=DenseVector([0.133, 0.171, 0.0312, 0.0228, 0.0864, 0.0055, 0.2087, 0.0396, 0.0329, 0.0398, 0.1816, 0.0051, 0.041, 0.0012]))
Row(prediction=2.0, features=DenseVector([21.0, 40.0, 45.0]), label=1.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 40.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 40.0, 47.0]), label=3.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([21.0, 40.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([21.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([21.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=10.0, features=DenseVector([21.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=6.0, features=DenseVector([21.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.133, 0.171, 0.0312, 0.0228, 0.0864, 0.0055, 0.2087, 0.0396, 0.0329, 0.0398, 0.1816, 0.0051, 0.041, 0.0012]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 46.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 46.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 46.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 46.0]), label=0.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=3.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=10.0, features=DenseVector([21.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 42.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 44.0]), label=3.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 46.0]), label=3.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([21.0, 42.0, 50.0]), label=12.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=10.0, features=DenseVector([21.0, 43.0, 34.0]), label=10.0, probability=DenseVector([0.1889, 0.0559, 0.0045, 0.0023, 0.1672, 0.0001, 0.1923, 0.0245, 0.0263, 0.021, 0.2948, 0.0011, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 43.0, 35.0]), label=10.0, probability=DenseVector([0.1889, 0.0559, 0.0045, 0.0023, 0.1672, 0.0001, 0.1923, 0.0245, 0.0263, 0.021, 0.2948, 0.0011, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 43.0, 38.0]), label=4.0, probability=DenseVector([0.1809, 0.0605, 0.0055, 0.0027, 0.1652, 0.0001, 0.1909, 0.0247, 0.0249, 0.0225, 0.2987, 0.0011, 0.0221, 0.0]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 43.0]), label=0.0, probability=DenseVector([0.0808, 0.1327, 0.1539, 0.1031, 0.0371, 0.0113, 0.1274, 0.078, 0.1126, 0.0599, 0.0249, 0.0287, 0.047, 0.0026]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 44.0]), label=10.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 45.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 47.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=10.0, features=DenseVector([21.0, 44.0, 36.0]), label=10.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=10.0, features=DenseVector([21.0, 44.0, 36.0]), label=1.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 44.0, 40.0]), label=4.0, probability=DenseVector([0.1741, 0.1223, 0.0163, 0.005, 0.1022, 0.0, 0.2661, 0.0271, 0.0256, 0.0376, 0.1866, 0.0025, 0.0341, 0.0002]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 45.0]), label=12.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 48.0]), label=1.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 31.0]), label=4.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 43.0]), label=0.0, probability=DenseVector([0.0792, 0.1296, 0.1736, 0.0907, 0.0373, 0.0035, 0.1338, 0.0767, 0.1126, 0.0613, 0.0247, 0.0283, 0.0445, 0.0041]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 43.0]), label=0.0, probability=DenseVector([0.0792, 0.1296, 0.1736, 0.0907, 0.0373, 0.0035, 0.1338, 0.0767, 0.1126, 0.0613, 0.0247, 0.0283, 0.0445, 0.0041]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 46.0]), label=0.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 47.0]), label=12.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 47.0]), label=1.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 22.0]), label=4.0, probability=DenseVector([0.1828, 0.068, 0.0087, 0.0044, 0.0872, 0.0, 0.4279, 0.0311, 0.0352, 0.028, 0.1024, 0.0015, 0.0226, 0.0002]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 43.0]), label=0.0, probability=DenseVector([0.073, 0.1194, 0.208, 0.0815, 0.0376, 0.0015, 0.1501, 0.0709, 0.1017, 0.0638, 0.0245, 0.0243, 0.0346, 0.0092]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 48.0]), label=4.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 49.0]), label=10.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 36.0]), label=1.0, probability=DenseVector([0.197, 0.0616, 0.0159, 0.0131, 0.0941, 0.0, 0.3804, 0.0216, 0.0415, 0.036, 0.1141, 0.0033, 0.0211, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 37.0]), label=12.0, probability=DenseVector([0.1938, 0.0638, 0.017, 0.0144, 0.0948, 0.0, 0.3721, 0.0225, 0.0405, 0.0398, 0.1152, 0.0039, 0.0221, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 41.0]), label=4.0, probability=DenseVector([0.1212, 0.106, 0.074, 0.0285, 0.0568, 0.0001, 0.3694, 0.0308, 0.0463, 0.0534, 0.0752, 0.0073, 0.0289, 0.002]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 42.0]), label=4.0, probability=DenseVector([0.0864, 0.1124, 0.1644, 0.0614, 0.0468, 0.0007, 0.2355, 0.0603, 0.0829, 0.0575, 0.035, 0.0184, 0.0327, 0.0057]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 42.0]), label=1.0, probability=DenseVector([0.0864, 0.1124, 0.1644, 0.0614, 0.0468, 0.0007, 0.2355, 0.0603, 0.0829, 0.0575, 0.035, 0.0184, 0.0327, 0.0057]))
Row(prediction=2.0, features=DenseVector([21.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 47.0, 57.0]), label=1.0, probability=DenseVector([0.0329, 0.1352, 0.1811, 0.1196, 0.0299, 0.0048, 0.0544, 0.0703, 0.1343, 0.1232, 0.0147, 0.04, 0.0512, 0.0083]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 38.0]), label=1.0, probability=DenseVector([0.1095, 0.0519, 0.0298, 0.0272, 0.0432, 0.0, 0.5672, 0.0243, 0.0417, 0.043, 0.0389, 0.0065, 0.0166, 0.0003]))
Row(prediction=2.0, features=DenseVector([21.0, 48.0, 44.0]), label=1.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 39.0]), label=10.0, probability=DenseVector([0.0913, 0.0528, 0.0365, 0.0291, 0.0316, 0.0, 0.6009, 0.0246, 0.0461, 0.0444, 0.0189, 0.0072, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 42.0]), label=1.0, probability=DenseVector([0.077, 0.1081, 0.1682, 0.0613, 0.0416, 0.0007, 0.2648, 0.0616, 0.0828, 0.0556, 0.0249, 0.0184, 0.0295, 0.0057]))
Row(prediction=2.0, features=DenseVector([21.0, 49.0, 43.0]), label=12.0, probability=DenseVector([0.0569, 0.11, 0.227, 0.0856, 0.0312, 0.0014, 0.1772, 0.071, 0.1025, 0.057, 0.0155, 0.0236, 0.031, 0.0101]))
Row(prediction=2.0, features=DenseVector([21.0, 49.0, 43.0]), label=1.0, probability=DenseVector([0.0569, 0.11, 0.227, 0.0856, 0.0312, 0.0014, 0.1772, 0.071, 0.1025, 0.057, 0.0155, 0.0236, 0.031, 0.0101]))
Row(prediction=2.0, features=DenseVector([21.0, 51.0, 47.0]), label=12.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=2.0, features=DenseVector([21.0, 53.0, 47.0]), label=4.0, probability=DenseVector([0.0497, 0.1014, 0.214, 0.0819, 0.0398, 0.0009, 0.1497, 0.0716, 0.1099, 0.087, 0.027, 0.0231, 0.0358, 0.0083]))
Row(prediction=3.0, features=DenseVector([22.0, 21.0, 47.0]), label=3.0, probability=DenseVector([0.0194, 0.2606, 0.0124, 0.4352, 0.0054, 0.0192, 0.0409, 0.0435, 0.0447, 0.0205, 0.0028, 0.0149, 0.08, 0.0005]))
Row(prediction=3.0, features=DenseVector([22.0, 21.0, 50.0]), label=3.0, probability=DenseVector([0.0155, 0.2163, 0.0306, 0.4377, 0.0034, 0.0152, 0.0278, 0.0597, 0.0653, 0.0259, 0.0024, 0.0233, 0.0761, 0.0008]))
Row(prediction=3.0, features=DenseVector([22.0, 22.0, 45.0]), label=1.0, probability=DenseVector([0.0243, 0.2647, 0.018, 0.3627, 0.0112, 0.0262, 0.072, 0.0463, 0.0486, 0.0243, 0.0037, 0.0144, 0.0821, 0.0015]))
Row(prediction=3.0, features=DenseVector([22.0, 22.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 46.0]), label=3.0, probability=DenseVector([0.0237, 0.2569, 0.0185, 0.3785, 0.0101, 0.0255, 0.0616, 0.0481, 0.0507, 0.0249, 0.0036, 0.0151, 0.0813, 0.0015]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 25.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 25.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 25.0, 48.0]), label=1.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 25.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 25.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 25.0, 57.0]), label=1.0, probability=DenseVector([0.0134, 0.206, 0.0287, 0.3528, 0.0041, 0.0091, 0.0178, 0.0593, 0.0767, 0.0566, 0.0014, 0.0299, 0.1433, 0.001]))
Row(prediction=3.0, features=DenseVector([22.0, 26.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 26.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 26.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 47.0]), label=12.0, probability=DenseVector([0.0318, 0.2207, 0.0483, 0.3531, 0.012, 0.0161, 0.0502, 0.0609, 0.0697, 0.0327, 0.0061, 0.0196, 0.0771, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 49.0]), label=8.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 28.0, 48.0]), label=12.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 28.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 48.0]), label=12.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 48.0]), label=12.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([22.0, 31.0, 31.0]), label=1.0, probability=DenseVector([0.0973, 0.0657, 0.0013, 0.0022, 0.1423, 0.0001, 0.3048, 0.0207, 0.0106, 0.0506, 0.2773, 0.0069, 0.0201, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 53.0]), label=12.0, probability=DenseVector([0.0143, 0.2226, 0.0288, 0.3912, 0.0036, 0.0105, 0.0203, 0.082, 0.0764, 0.0281, 0.0009, 0.0361, 0.0839, 0.001]))
Row(prediction=1.0, features=DenseVector([22.0, 32.0, 42.0]), label=1.0, probability=DenseVector([0.0604, 0.2179, 0.0364, 0.18, 0.0395, 0.012, 0.1627, 0.0519, 0.056, 0.0441, 0.0518, 0.0129, 0.0732, 0.0014]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 44.0]), label=4.0, probability=DenseVector([0.0358, 0.2342, 0.0594, 0.2782, 0.0165, 0.0164, 0.0804, 0.0635, 0.0729, 0.0342, 0.0071, 0.0188, 0.0805, 0.0021]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 51.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 55.0]), label=1.0, probability=DenseVector([0.0138, 0.2234, 0.0286, 0.3555, 0.0038, 0.0091, 0.0202, 0.0799, 0.08, 0.043, 0.0014, 0.0443, 0.0961, 0.001]))
Row(prediction=10.0, features=DenseVector([22.0, 34.0, 33.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 51.0]), label=12.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 55.0]), label=1.0, probability=DenseVector([0.0301, 0.1892, 0.0793, 0.2464, 0.0098, 0.0195, 0.0255, 0.1019, 0.1366, 0.0525, 0.0052, 0.0452, 0.0571, 0.0016]))
Row(prediction=10.0, features=DenseVector([22.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=10.0, features=DenseVector([22.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 36.0, 43.0]), label=4.0, probability=DenseVector([0.061, 0.1876, 0.0961, 0.1664, 0.0232, 0.0169, 0.0826, 0.1033, 0.1154, 0.0386, 0.0174, 0.0311, 0.0581, 0.0022]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 48.0]), label=7.0, probability=DenseVector([0.0432, 0.1666, 0.1011, 0.2348, 0.013, 0.0244, 0.0402, 0.1118, 0.1265, 0.0363, 0.007, 0.0389, 0.0535, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 50.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=10.0, features=DenseVector([22.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 37.0, 38.0]), label=10.0, probability=DenseVector([0.1362, 0.0524, 0.0046, 0.0042, 0.1755, 0.0, 0.1717, 0.0241, 0.0163, 0.0189, 0.3758, 0.001, 0.0193, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 31.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 39.0]), label=12.0, probability=DenseVector([0.1402, 0.1156, 0.0113, 0.0047, 0.1125, 0.0, 0.2406, 0.0256, 0.0211, 0.0389, 0.2538, 0.0026, 0.0331, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 38.0, 46.0]), label=1.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 48.0]), label=8.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=10.0, features=DenseVector([22.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.1362, 0.0524, 0.0046, 0.0042, 0.1755, 0.0, 0.1717, 0.0241, 0.0163, 0.0189, 0.3758, 0.001, 0.0193, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 39.0, 47.0]), label=1.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([22.0, 39.0, 47.0]), label=12.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=10.0, features=DenseVector([22.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.073, 0.1667, 0.136, 0.1084, 0.0311, 0.0114, 0.1087, 0.0868, 0.1152, 0.0489, 0.0236, 0.0295, 0.0583, 0.0024]))
Row(prediction=2.0, features=DenseVector([22.0, 40.0, 45.0]), label=0.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 40.0, 46.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 40.0, 46.0]), label=1.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 40.0, 46.0]), label=1.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=0.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=1.0, features=DenseVector([22.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.0897, 0.1634, 0.0963, 0.0782, 0.0523, 0.0082, 0.1488, 0.0744, 0.0898, 0.0479, 0.0723, 0.0218, 0.0552, 0.0016]))
Row(prediction=2.0, features=DenseVector([22.0, 41.0, 46.0]), label=1.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 41.0, 47.0]), label=3.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 41.0, 47.0]), label=2.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 41.0, 47.0]), label=1.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 56.0]), label=1.0, probability=DenseVector([0.049, 0.15, 0.118, 0.1548, 0.0197, 0.0123, 0.0391, 0.0859, 0.1531, 0.0918, 0.012, 0.0485, 0.0647, 0.0011]))
Row(prediction=10.0, features=DenseVector([22.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=6.0, features=DenseVector([22.0, 42.0, 42.0]), label=4.0, probability=DenseVector([0.0908, 0.1536, 0.1051, 0.0724, 0.0548, 0.008, 0.1548, 0.071, 0.0881, 0.0521, 0.076, 0.0206, 0.0512, 0.0016]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 46.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 46.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 46.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([22.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([22.0, 42.0, 54.0]), label=3.0, probability=DenseVector([0.0512, 0.1511, 0.1388, 0.169, 0.0152, 0.0153, 0.0399, 0.0916, 0.1465, 0.0631, 0.0084, 0.0519, 0.0562, 0.0019]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 43.0]), label=10.0, probability=DenseVector([0.0808, 0.1327, 0.1539, 0.1031, 0.0371, 0.0113, 0.1274, 0.078, 0.1126, 0.0599, 0.0249, 0.0287, 0.047, 0.0026]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 44.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 45.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 45.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 46.0]), label=4.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 47.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 47.0]), label=1.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([22.0, 43.0, 49.0]), label=0.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([22.0, 43.0, 50.0]), label=12.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([22.0, 44.0, 39.0]), label=10.0, probability=DenseVector([0.166, 0.117, 0.0184, 0.0073, 0.0879, 0.0, 0.3093, 0.0239, 0.0272, 0.0452, 0.162, 0.0028, 0.0328, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.149, 0.1362, 0.0409, 0.0255, 0.0756, 0.0055, 0.2809, 0.0332, 0.0342, 0.0535, 0.1218, 0.006, 0.036, 0.0016]))
Row(prediction=6.0, features=DenseVector([22.0, 44.0, 42.0]), label=4.0, probability=DenseVector([0.0994, 0.1309, 0.1182, 0.0749, 0.0474, 0.0081, 0.2002, 0.0658, 0.0885, 0.059, 0.0405, 0.0212, 0.0438, 0.002]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 45.0]), label=1.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 46.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 48.0]), label=1.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([22.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([22.0, 44.0, 50.0]), label=0.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 29.0]), label=1.0, probability=DenseVector([0.17, 0.0781, 0.0086, 0.005, 0.0769, 0.0, 0.4579, 0.0269, 0.0341, 0.03, 0.0888, 0.0016, 0.0217, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 41.0]), label=12.0, probability=DenseVector([0.1433, 0.1322, 0.0584, 0.0218, 0.0719, 0.0002, 0.2842, 0.0345, 0.0398, 0.0535, 0.1181, 0.0068, 0.0334, 0.0019]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 44.0]), label=4.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 47.0]), label=10.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 44.0]), label=1.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 44.0]), label=1.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 34.0]), label=4.0, probability=DenseVector([0.0881, 0.0453, 0.0197, 0.0216, 0.0378, 0.0, 0.649, 0.0216, 0.0324, 0.0316, 0.0331, 0.005, 0.0145, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 38.0]), label=1.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 38.0]), label=4.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=2.0, features=DenseVector([22.0, 49.0, 54.0]), label=3.0, probability=DenseVector([0.0361, 0.1347, 0.197, 0.1503, 0.0175, 0.0093, 0.0575, 0.0797, 0.1384, 0.0759, 0.0101, 0.0432, 0.041, 0.0091]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 31.0]), label=7.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 38.0]), label=10.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 42.0]), label=4.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=2.0, features=DenseVector([22.0, 51.0, 45.0]), label=1.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=6.0, features=DenseVector([22.0, 52.0, 39.0]), label=0.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=3.0, features=DenseVector([23.0, 16.0, 43.0]), label=1.0, probability=DenseVector([0.0179, 0.254, 0.0102, 0.354, 0.0071, 0.101, 0.0751, 0.0348, 0.0362, 0.0217, 0.0022, 0.0119, 0.0734, 0.0004]))
Row(prediction=1.0, features=DenseVector([23.0, 17.0, 38.0]), label=1.0, probability=DenseVector([0.025, 0.3035, 0.0011, 0.2058, 0.0324, 0.0505, 0.1822, 0.0037, 0.0047, 0.0903, 0.0517, 0.0007, 0.0485, 0.0]))
Row(prediction=3.0, features=DenseVector([23.0, 17.0, 49.0]), label=1.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([23.0, 18.0, 48.0]), label=1.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([23.0, 19.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([23.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 46.0]), label=3.0, probability=DenseVector([0.0237, 0.2569, 0.0185, 0.3785, 0.0101, 0.0255, 0.0616, 0.0481, 0.0507, 0.0249, 0.0036, 0.0151, 0.0813, 0.0015]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 46.0]), label=1.0, probability=DenseVector([0.0237, 0.2569, 0.0185, 0.3785, 0.0101, 0.0255, 0.0616, 0.0481, 0.0507, 0.0249, 0.0036, 0.0151, 0.0813, 0.0015]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 47.0]), label=1.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([23.0, 24.0, 36.0]), label=1.0, probability=DenseVector([0.0585, 0.1657, 0.0072, 0.0452, 0.0638, 0.0218, 0.3782, 0.0095, 0.0108, 0.0784, 0.1299, 0.0013, 0.0295, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 24.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([23.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 24.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 24.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 26.0, 47.0]), label=1.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 28.0, 43.0]), label=12.0, probability=DenseVector([0.0389, 0.2332, 0.0418, 0.2726, 0.0197, 0.0171, 0.1177, 0.0558, 0.062, 0.0337, 0.0108, 0.0162, 0.0789, 0.0017]))
Row(prediction=3.0, features=DenseVector([23.0, 28.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 51.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 48.0]), label=1.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 54.0]), label=8.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 55.0]), label=1.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 48.0]), label=7.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 51.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 51.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 56.0]), label=1.0, probability=DenseVector([0.0116, 0.202, 0.0343, 0.39, 0.0041, 0.0104, 0.019, 0.0743, 0.0967, 0.0454, 0.0018, 0.0358, 0.0732, 0.0013]))
Row(prediction=6.0, features=DenseVector([23.0, 34.0, 30.0]), label=10.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 49.0]), label=3.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 51.0]), label=12.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0295, 0.1674, 0.0945, 0.2811, 0.0081, 0.0243, 0.0232, 0.1056, 0.1407, 0.0384, 0.0043, 0.0376, 0.0434, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0295, 0.1674, 0.0945, 0.2811, 0.0081, 0.0243, 0.0232, 0.1056, 0.1407, 0.0384, 0.0043, 0.0376, 0.0434, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 57.0]), label=1.0, probability=DenseVector([0.0301, 0.1892, 0.0793, 0.2464, 0.0098, 0.0195, 0.0255, 0.1019, 0.1366, 0.0525, 0.0052, 0.0452, 0.0571, 0.0016]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 36.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 36.0, 51.0]), label=12.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=6.0, features=DenseVector([23.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 48.0]), label=12.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 51.0]), label=12.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 59.0]), label=1.0, probability=DenseVector([0.0359, 0.1827, 0.0962, 0.1866, 0.0121, 0.0234, 0.0289, 0.1078, 0.1476, 0.0645, 0.008, 0.0495, 0.0554, 0.0014]))
Row(prediction=6.0, features=DenseVector([23.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 48.0]), label=12.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 50.0]), label=12.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=6.0, features=DenseVector([23.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=6.0, features=DenseVector([23.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 40.0, 41.0]), label=4.0, probability=DenseVector([0.0958, 0.1227, 0.0375, 0.0317, 0.0653, 0.0099, 0.37, 0.0289, 0.029, 0.0581, 0.114, 0.0049, 0.0306, 0.0017]))
Row(prediction=6.0, features=DenseVector([23.0, 40.0, 41.0]), label=4.0, probability=DenseVector([0.0958, 0.1227, 0.0375, 0.0317, 0.0653, 0.0099, 0.37, 0.0289, 0.029, 0.0581, 0.114, 0.0049, 0.0306, 0.0017]))
Row(prediction=2.0, features=DenseVector([23.0, 40.0, 47.0]), label=4.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([23.0, 40.0, 47.0]), label=1.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 49.0]), label=0.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 50.0]), label=0.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 50.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=6.0, features=DenseVector([23.0, 41.0, 26.0]), label=1.0, probability=DenseVector([0.0812, 0.0593, 0.0056, 0.0069, 0.0752, 0.0043, 0.5182, 0.0122, 0.0104, 0.0403, 0.1664, 0.0012, 0.0187, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 47.0]), label=2.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 47.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([23.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 41.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 41.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=6.0, features=DenseVector([23.0, 42.0, 37.0]), label=10.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 46.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([23.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=6.0, features=DenseVector([23.0, 43.0, 35.0]), label=4.0, probability=DenseVector([0.131, 0.0574, 0.0095, 0.0094, 0.0856, 0.0044, 0.4315, 0.0133, 0.0197, 0.0465, 0.1693, 0.0017, 0.0205, 0.0002]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 44.0]), label=4.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 45.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 45.0]), label=4.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=1.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 54.0]), label=3.0, probability=DenseVector([0.0508, 0.1512, 0.1439, 0.1666, 0.0161, 0.0153, 0.043, 0.091, 0.1462, 0.0637, 0.0086, 0.0516, 0.0502, 0.0019]))
Row(prediction=6.0, features=DenseVector([23.0, 44.0, 41.0]), label=4.0, probability=DenseVector([0.1086, 0.0993, 0.0459, 0.0314, 0.0586, 0.0056, 0.4133, 0.0254, 0.0296, 0.0657, 0.0797, 0.0062, 0.0286, 0.002]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 43.0]), label=12.0, probability=DenseVector([0.0722, 0.1302, 0.1553, 0.1042, 0.0354, 0.0113, 0.1418, 0.0773, 0.1111, 0.0601, 0.0242, 0.0286, 0.0458, 0.0027]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 45.0]), label=1.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 46.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([23.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([23.0, 45.0, 34.0]), label=4.0, probability=DenseVector([0.1363, 0.0578, 0.0114, 0.0067, 0.0822, 0.0001, 0.4573, 0.0148, 0.019, 0.0419, 0.1514, 0.0016, 0.0191, 0.0003]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 44.0]), label=4.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 46.0]), label=1.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 43.0]), label=2.0, probability=DenseVector([0.0644, 0.1169, 0.2095, 0.0826, 0.0359, 0.0015, 0.1644, 0.0702, 0.1001, 0.064, 0.0237, 0.0242, 0.0334, 0.0093]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 44.0]), label=12.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 46.0]), label=1.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 47.0]), label=12.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=6.0, features=DenseVector([23.0, 47.0, 35.0]), label=12.0, probability=DenseVector([0.1392, 0.0561, 0.0178, 0.0143, 0.0706, 0.0001, 0.4843, 0.0156, 0.0297, 0.0426, 0.107, 0.0032, 0.0191, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 48.0, 35.0]), label=4.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 35.0]), label=1.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 40.0]), label=4.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 42.0]), label=4.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 49.0, 43.0]), label=12.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([23.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 49.0, 47.0]), label=1.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 31.0]), label=7.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 36.0]), label=1.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=2.0, features=DenseVector([23.0, 50.0, 47.0]), label=4.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 39.0]), label=10.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([23.0, 51.0, 43.0]), label=12.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=2.0, features=DenseVector([23.0, 51.0, 46.0]), label=1.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 36.0]), label=7.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 39.0]), label=10.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=9.0, features=DenseVector([23.0, 56.0, 54.0]), label=0.0, probability=DenseVector([0.0406, 0.1211, 0.1139, 0.097, 0.0474, 0.0017, 0.089, 0.0625, 0.1191, 0.2047, 0.0255, 0.0324, 0.0416, 0.0035]))
Row(prediction=1.0, features=DenseVector([24.0, 11.0, 25.0]), label=1.0, probability=DenseVector([0.0183, 0.3452, 0.0002, 0.1756, 0.0315, 0.0443, 0.1929, 0.0034, 0.0036, 0.0871, 0.0501, 0.0003, 0.0475, 0.0]))
Row(prediction=5.0, features=DenseVector([24.0, 14.0, 40.0]), label=3.0, probability=DenseVector([0.0236, 0.16, 0.0039, 0.1814, 0.0125, 0.319, 0.1729, 0.0037, 0.0035, 0.0412, 0.0267, 0.0179, 0.0338, 0.0]))
Row(prediction=5.0, features=DenseVector([24.0, 14.0, 40.0]), label=3.0, probability=DenseVector([0.0236, 0.16, 0.0039, 0.1814, 0.0125, 0.319, 0.1729, 0.0037, 0.0035, 0.0412, 0.0267, 0.0179, 0.0338, 0.0]))
Row(prediction=5.0, features=DenseVector([24.0, 14.0, 40.0]), label=3.0, probability=DenseVector([0.0236, 0.16, 0.0039, 0.1814, 0.0125, 0.319, 0.1729, 0.0037, 0.0035, 0.0412, 0.0267, 0.0179, 0.0338, 0.0]))
Row(prediction=3.0, features=DenseVector([24.0, 15.0, 45.0]), label=1.0, probability=DenseVector([0.0188, 0.2602, 0.0107, 0.4178, 0.0071, 0.0393, 0.0589, 0.0373, 0.0385, 0.0207, 0.0022, 0.0133, 0.0748, 0.0004]))
Row(prediction=3.0, features=DenseVector([24.0, 16.0, 44.0]), label=1.0, probability=DenseVector([0.0184, 0.2598, 0.0107, 0.3744, 0.0072, 0.0671, 0.0733, 0.0373, 0.0385, 0.022, 0.0022, 0.013, 0.0756, 0.0004]))
Row(prediction=3.0, features=DenseVector([24.0, 19.0, 43.0]), label=1.0, probability=DenseVector([0.0179, 0.254, 0.0102, 0.354, 0.0071, 0.101, 0.0751, 0.0348, 0.0362, 0.0217, 0.0022, 0.0119, 0.0734, 0.0004]))
Row(prediction=3.0, features=DenseVector([24.0, 19.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([24.0, 19.0, 49.0]), label=1.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([24.0, 20.0, 46.0]), label=3.0, probability=DenseVector([0.0181, 0.2523, 0.0112, 0.4335, 0.0061, 0.0386, 0.0485, 0.0391, 0.0407, 0.0213, 0.0021, 0.014, 0.074, 0.0005]))
Row(prediction=3.0, features=DenseVector([24.0, 21.0, 47.0]), label=3.0, probability=DenseVector([0.0182, 0.2425, 0.0122, 0.4629, 0.0054, 0.0215, 0.038, 0.0425, 0.0445, 0.0216, 0.002, 0.0149, 0.0733, 0.0005]))
Row(prediction=3.0, features=DenseVector([24.0, 21.0, 47.0]), label=3.0, probability=DenseVector([0.0182, 0.2425, 0.0122, 0.4629, 0.0054, 0.0215, 0.038, 0.0425, 0.0445, 0.0216, 0.002, 0.0149, 0.0733, 0.0005]))
Row(prediction=3.0, features=DenseVector([24.0, 21.0, 47.0]), label=3.0, probability=DenseVector([0.0182, 0.2425, 0.0122, 0.4629, 0.0054, 0.0215, 0.038, 0.0425, 0.0445, 0.0216, 0.002, 0.0149, 0.0733, 0.0005]))
Row(prediction=3.0, features=DenseVector([24.0, 21.0, 47.0]), label=3.0, probability=DenseVector([0.0182, 0.2425, 0.0122, 0.4629, 0.0054, 0.0215, 0.038, 0.0425, 0.0445, 0.0216, 0.002, 0.0149, 0.0733, 0.0005]))
Row(prediction=3.0, features=DenseVector([24.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([24.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([24.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 23.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([24.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 23.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 24.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 24.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 24.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 24.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 25.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 25.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 25.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 25.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 25.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 57.0]), label=1.0, probability=DenseVector([0.0102, 0.1924, 0.03, 0.3758, 0.0036, 0.0094, 0.0175, 0.0633, 0.0811, 0.0762, 0.0014, 0.0331, 0.1048, 0.0011]))
Row(prediction=3.0, features=DenseVector([24.0, 28.0, 47.0]), label=12.0, probability=DenseVector([0.0318, 0.2207, 0.0483, 0.3531, 0.012, 0.0161, 0.0502, 0.0609, 0.0697, 0.0327, 0.0061, 0.0196, 0.0771, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 54.0]), label=8.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=6.0, features=DenseVector([24.0, 32.0, 24.0]), label=4.0, probability=DenseVector([0.0762, 0.0586, 0.0054, 0.0068, 0.0711, 0.0043, 0.5332, 0.0115, 0.0099, 0.0487, 0.1536, 0.0012, 0.0194, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 58.0]), label=1.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 50.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 50.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=12.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0295, 0.1674, 0.0945, 0.2811, 0.0081, 0.0243, 0.0232, 0.1056, 0.1407, 0.0384, 0.0043, 0.0376, 0.0434, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 35.0, 49.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 35.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 35.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0356, 0.1657, 0.1082, 0.2333, 0.0093, 0.0241, 0.0259, 0.1156, 0.1536, 0.0398, 0.005, 0.0427, 0.0393, 0.0018]))
Row(prediction=6.0, features=DenseVector([24.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 51.0]), label=12.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0372, 0.1663, 0.1136, 0.2215, 0.0102, 0.0284, 0.0263, 0.1145, 0.1485, 0.0426, 0.0055, 0.044, 0.0397, 0.0017]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 55.0]), label=1.0, probability=DenseVector([0.0371, 0.1847, 0.0998, 0.193, 0.0113, 0.0236, 0.0283, 0.1116, 0.1462, 0.0543, 0.0061, 0.0505, 0.0522, 0.0015]))
Row(prediction=6.0, features=DenseVector([24.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 38.0, 39.0]), label=12.0, probability=DenseVector([0.1028, 0.0717, 0.016, 0.0132, 0.0879, 0.0044, 0.3978, 0.016, 0.0156, 0.0517, 0.1966, 0.0023, 0.0236, 0.0004]))
Row(prediction=1.0, features=DenseVector([24.0, 38.0, 43.0]), label=10.0, probability=DenseVector([0.0591, 0.1786, 0.0988, 0.1676, 0.0227, 0.0169, 0.097, 0.1022, 0.1144, 0.0401, 0.0141, 0.0308, 0.0554, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=7.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=6.0, features=DenseVector([24.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=6.0, features=DenseVector([24.0, 39.0, 42.0]), label=4.0, probability=DenseVector([0.0693, 0.1656, 0.0725, 0.1321, 0.0364, 0.0136, 0.1702, 0.0842, 0.0906, 0.0453, 0.0419, 0.0246, 0.0518, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 48.0]), label=12.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 48.0]), label=0.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0509, 0.1458, 0.1341, 0.1915, 0.0133, 0.0154, 0.0375, 0.0966, 0.1475, 0.053, 0.0072, 0.0511, 0.0543, 0.0019]))
Row(prediction=1.0, features=DenseVector([24.0, 41.0, 43.0]), label=12.0, probability=DenseVector([0.071, 0.1577, 0.1387, 0.1096, 0.0307, 0.0114, 0.1231, 0.0856, 0.1142, 0.0505, 0.0202, 0.0292, 0.0557, 0.0025]))
Row(prediction=2.0, features=DenseVector([24.0, 41.0, 46.0]), label=1.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 45.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=2.0, features=DenseVector([24.0, 43.0, 47.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([24.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([24.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([24.0, 43.0, 48.0]), label=0.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([24.0, 43.0, 49.0]), label=12.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 47.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 48.0]), label=1.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([24.0, 44.0, 49.0]), label=1.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 44.0]), label=1.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 49.0]), label=1.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 49.0]), label=0.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 57.0]), label=1.0, probability=DenseVector([0.0457, 0.1441, 0.1511, 0.1398, 0.0215, 0.0074, 0.0481, 0.0786, 0.1501, 0.0962, 0.0128, 0.0461, 0.0548, 0.0039]))
Row(prediction=6.0, features=DenseVector([24.0, 46.0, 41.0]), label=4.0, probability=DenseVector([0.1083, 0.0972, 0.0631, 0.0276, 0.0583, 0.0003, 0.4057, 0.027, 0.0359, 0.0664, 0.0743, 0.0069, 0.0268, 0.0024]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 44.0]), label=4.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 47.0]), label=7.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 47.0]), label=4.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 33.0]), label=4.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 34.0]), label=4.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 45.0]), label=12.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 51.0]), label=0.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 53.0]), label=10.0, probability=DenseVector([0.0358, 0.1302, 0.1991, 0.1633, 0.0169, 0.0094, 0.0577, 0.0806, 0.1367, 0.0703, 0.0097, 0.0425, 0.0387, 0.0092]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 45.0]), label=4.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 47.0]), label=1.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 49.0]), label=3.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 51.0]), label=10.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 34.0]), label=10.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=2.0, features=DenseVector([24.0, 50.0, 44.0]), label=7.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 40.0]), label=1.0, probability=DenseVector([0.0699, 0.036, 0.0586, 0.0388, 0.0341, 0.0, 0.5724, 0.0277, 0.062, 0.0519, 0.0175, 0.0128, 0.018, 0.0002]))
Row(prediction=1.0, features=DenseVector([25.0, 9.0, 33.0]), label=1.0, probability=DenseVector([0.0086, 0.314, 0.0005, 0.2157, 0.0144, 0.0792, 0.2149, 0.0013, 0.0029, 0.0874, 0.0096, 0.0003, 0.0513, 0.0]))
Row(prediction=5.0, features=DenseVector([25.0, 15.0, 40.0]), label=3.0, probability=DenseVector([0.0056, 0.1519, 0.001, 0.2203, 0.0048, 0.3539, 0.1605, 0.0008, 0.0013, 0.0387, 0.0076, 0.0176, 0.036, 0.0]))
Row(prediction=5.0, features=DenseVector([25.0, 15.0, 40.0]), label=3.0, probability=DenseVector([0.0056, 0.1519, 0.001, 0.2203, 0.0048, 0.3539, 0.1605, 0.0008, 0.0013, 0.0387, 0.0076, 0.0176, 0.036, 0.0]))
Row(prediction=5.0, features=DenseVector([25.0, 15.0, 40.0]), label=3.0, probability=DenseVector([0.0056, 0.1519, 0.001, 0.2203, 0.0048, 0.3539, 0.1605, 0.0008, 0.0013, 0.0387, 0.0076, 0.0176, 0.036, 0.0]))
Row(prediction=5.0, features=DenseVector([25.0, 15.0, 41.0]), label=3.0, probability=DenseVector([0.0133, 0.1777, 0.0021, 0.2301, 0.0069, 0.3181, 0.1544, 0.0091, 0.009, 0.0246, 0.0089, 0.0018, 0.0441, 0.0]))
Row(prediction=5.0, features=DenseVector([25.0, 16.0, 41.0]), label=3.0, probability=DenseVector([0.0133, 0.1777, 0.0021, 0.2301, 0.0069, 0.3181, 0.1544, 0.0091, 0.009, 0.0246, 0.0089, 0.0018, 0.0441, 0.0]))
Row(prediction=5.0, features=DenseVector([25.0, 16.0, 41.0]), label=3.0, probability=DenseVector([0.0133, 0.1777, 0.0021, 0.2301, 0.0069, 0.3181, 0.1544, 0.0091, 0.009, 0.0246, 0.0089, 0.0018, 0.0441, 0.0]))
Row(prediction=3.0, features=DenseVector([25.0, 16.0, 42.0]), label=3.0, probability=DenseVector([0.0177, 0.2444, 0.0051, 0.2919, 0.0087, 0.1668, 0.1098, 0.0251, 0.0258, 0.0223, 0.0072, 0.0079, 0.0671, 0.0001]))
Row(prediction=3.0, features=DenseVector([25.0, 18.0, 45.0]), label=3.0, probability=DenseVector([0.0188, 0.2602, 0.0107, 0.4178, 0.0071, 0.0393, 0.0589, 0.0373, 0.0385, 0.0207, 0.0022, 0.0133, 0.0748, 0.0004]))
Row(prediction=3.0, features=DenseVector([25.0, 19.0, 48.0]), label=1.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([25.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([25.0, 21.0, 44.0]), label=1.0, probability=DenseVector([0.0184, 0.2598, 0.0107, 0.3744, 0.0072, 0.0671, 0.0733, 0.0373, 0.0385, 0.022, 0.0022, 0.013, 0.0756, 0.0004]))
Row(prediction=3.0, features=DenseVector([25.0, 21.0, 47.0]), label=3.0, probability=DenseVector([0.0182, 0.2425, 0.0122, 0.4629, 0.0054, 0.0215, 0.038, 0.0425, 0.0445, 0.0216, 0.002, 0.0149, 0.0733, 0.0005]))
Row(prediction=3.0, features=DenseVector([25.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([25.0, 21.0, 50.0]), label=1.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([25.0, 22.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([25.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 23.0, 43.0]), label=4.0, probability=DenseVector([0.0278, 0.2569, 0.0201, 0.3165, 0.0137, 0.038, 0.1071, 0.0449, 0.0473, 0.0264, 0.0071, 0.0133, 0.0794, 0.0016]))
Row(prediction=3.0, features=DenseVector([25.0, 23.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 24.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 25.0, 55.0]), label=1.0, probability=DenseVector([0.0102, 0.1924, 0.03, 0.3758, 0.0036, 0.0094, 0.0175, 0.0633, 0.0811, 0.0762, 0.0014, 0.0331, 0.1048, 0.0011]))
Row(prediction=3.0, features=DenseVector([25.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 26.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 27.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 46.0]), label=1.0, probability=DenseVector([0.0332, 0.2344, 0.0475, 0.3145, 0.0145, 0.0168, 0.0686, 0.0608, 0.0684, 0.0328, 0.0064, 0.0184, 0.082, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 52.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 54.0]), label=2.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 29.0, 45.0]), label=1.0, probability=DenseVector([0.0338, 0.2423, 0.047, 0.2987, 0.0155, 0.0175, 0.079, 0.059, 0.0663, 0.0322, 0.0065, 0.0177, 0.0828, 0.0018]))
Row(prediction=3.0, features=DenseVector([25.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 30.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([25.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 31.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 31.0, 61.0]), label=1.0, probability=DenseVector([0.0102, 0.2028, 0.0317, 0.3763, 0.0041, 0.0092, 0.017, 0.0693, 0.086, 0.066, 0.0014, 0.036, 0.0889, 0.0011]))
Row(prediction=3.0, features=DenseVector([25.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([25.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0287, 0.1665, 0.0767, 0.3351, 0.0083, 0.026, 0.0283, 0.094, 0.1096, 0.0318, 0.0046, 0.0335, 0.0546, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0287, 0.1665, 0.0767, 0.3351, 0.0083, 0.026, 0.0283, 0.094, 0.1096, 0.0318, 0.0046, 0.0335, 0.0546, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 34.0, 52.0]), label=12.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([25.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=6.0, features=DenseVector([25.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 49.0]), label=1.0, probability=DenseVector([0.0378, 0.1591, 0.0986, 0.2543, 0.0114, 0.0252, 0.0355, 0.1109, 0.1305, 0.0365, 0.0062, 0.0407, 0.0508, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 49.0]), label=1.0, probability=DenseVector([0.0378, 0.1591, 0.0986, 0.2543, 0.0114, 0.0252, 0.0355, 0.1109, 0.1305, 0.0365, 0.0062, 0.0407, 0.0508, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 51.0]), label=1.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([25.0, 37.0, 50.0]), label=4.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 49.0]), label=4.0, probability=DenseVector([0.0403, 0.1546, 0.1093, 0.2393, 0.0129, 0.0242, 0.0359, 0.1132, 0.1316, 0.0383, 0.007, 0.0424, 0.0487, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 49.0]), label=1.0, probability=DenseVector([0.0403, 0.1546, 0.1093, 0.2393, 0.0129, 0.0242, 0.0359, 0.1132, 0.1316, 0.0383, 0.007, 0.0424, 0.0487, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=6.0, features=DenseVector([25.0, 39.0, 42.0]), label=4.0, probability=DenseVector([0.0652, 0.1571, 0.077, 0.1395, 0.0356, 0.0138, 0.1681, 0.0837, 0.0952, 0.0463, 0.0415, 0.0259, 0.0492, 0.002]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 48.0]), label=12.0, probability=DenseVector([0.0416, 0.1536, 0.1163, 0.2271, 0.0137, 0.0236, 0.0386, 0.1135, 0.1322, 0.0392, 0.0074, 0.0419, 0.0488, 0.0026]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0403, 0.1546, 0.1093, 0.2393, 0.0129, 0.0242, 0.0359, 0.1132, 0.1316, 0.0383, 0.007, 0.0424, 0.0487, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 49.0]), label=1.0, probability=DenseVector([0.0403, 0.1546, 0.1093, 0.2393, 0.0129, 0.0242, 0.0359, 0.1132, 0.1316, 0.0383, 0.007, 0.0424, 0.0487, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=6.0, features=DenseVector([25.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([25.0, 40.0, 46.0]), label=1.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([25.0, 40.0, 47.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 50.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0498, 0.1437, 0.1387, 0.1988, 0.0123, 0.0155, 0.0342, 0.0987, 0.1496, 0.0498, 0.0068, 0.0491, 0.051, 0.002]))
Row(prediction=6.0, features=DenseVector([25.0, 41.0, 38.0]), label=12.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([25.0, 41.0, 47.0]), label=1.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.0498, 0.1437, 0.1387, 0.1988, 0.0123, 0.0155, 0.0342, 0.0987, 0.1496, 0.0498, 0.0068, 0.0491, 0.051, 0.002]))
Row(prediction=6.0, features=DenseVector([25.0, 42.0, 42.0]), label=4.0, probability=DenseVector([0.0796, 0.1387, 0.1108, 0.0797, 0.0463, 0.0123, 0.1992, 0.0677, 0.0865, 0.0581, 0.0512, 0.0207, 0.0471, 0.0021]))
Row(prediction=2.0, features=DenseVector([25.0, 42.0, 46.0]), label=3.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 42.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 47.0]), label=1.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=7.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([25.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([25.0, 44.0, 40.0]), label=4.0, probability=DenseVector([0.1023, 0.0602, 0.0221, 0.0156, 0.0518, 0.0073, 0.5347, 0.0124, 0.0194, 0.0771, 0.0698, 0.0031, 0.0235, 0.0006]))
Row(prediction=2.0, features=DenseVector([25.0, 44.0, 45.0]), label=4.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 44.0, 46.0]), label=7.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 44.0, 48.0]), label=1.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([25.0, 44.0, 48.0]), label=1.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([25.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 44.0, 49.0]), label=1.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 44.0, 50.0]), label=0.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 44.0, 53.0]), label=2.0, probability=DenseVector([0.0494, 0.1446, 0.1505, 0.187, 0.0144, 0.0155, 0.0399, 0.0939, 0.1466, 0.0549, 0.0078, 0.0489, 0.0446, 0.002]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 50.0]), label=10.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=6.0, features=DenseVector([25.0, 46.0, 40.0]), label=1.0, probability=DenseVector([0.1055, 0.0631, 0.0297, 0.0204, 0.0527, 0.0072, 0.5173, 0.0144, 0.0252, 0.0733, 0.0631, 0.0041, 0.0233, 0.0007]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 47.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 47.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 47.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 50.0]), label=0.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 53.0]), label=1.0, probability=DenseVector([0.0382, 0.1315, 0.2043, 0.1634, 0.0163, 0.0091, 0.0559, 0.0853, 0.1384, 0.0641, 0.0092, 0.0407, 0.0343, 0.0093]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 48.0]), label=7.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 47.0]), label=4.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 47.0]), label=1.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 49.0]), label=2.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 50.0]), label=2.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 33.0]), label=4.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 45.0]), label=1.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 55.0]), label=1.0, probability=DenseVector([0.0336, 0.1334, 0.1972, 0.1525, 0.0185, 0.0093, 0.055, 0.0775, 0.1344, 0.0894, 0.0098, 0.0402, 0.0398, 0.0091]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 35.0]), label=7.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 39.0]), label=4.0, probability=DenseVector([0.0848, 0.044, 0.0389, 0.0357, 0.036, 0.0001, 0.5908, 0.0202, 0.0452, 0.0525, 0.025, 0.008, 0.018, 0.0007]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 40.0]), label=10.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=2.0, features=DenseVector([25.0, 50.0, 43.0]), label=12.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 39.0]), label=7.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 36.0]), label=7.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=2.0, features=DenseVector([25.0, 54.0, 45.0]), label=1.0, probability=DenseVector([0.0507, 0.1013, 0.218, 0.0779, 0.0368, 0.0009, 0.1769, 0.0693, 0.1065, 0.0702, 0.0227, 0.0253, 0.0348, 0.0086]))
Row(prediction=5.0, features=DenseVector([26.0, 14.0, 41.0]), label=3.0, probability=DenseVector([0.0133, 0.1777, 0.0021, 0.2301, 0.0069, 0.3181, 0.1544, 0.0091, 0.009, 0.0246, 0.0089, 0.0018, 0.0441, 0.0]))
Row(prediction=5.0, features=DenseVector([26.0, 15.0, 41.0]), label=3.0, probability=DenseVector([0.0133, 0.1777, 0.0021, 0.2301, 0.0069, 0.3181, 0.1544, 0.0091, 0.009, 0.0246, 0.0089, 0.0018, 0.0441, 0.0]))
Row(prediction=3.0, features=DenseVector([26.0, 18.0, 46.0]), label=3.0, probability=DenseVector([0.0181, 0.2523, 0.0112, 0.4335, 0.0061, 0.0386, 0.0485, 0.0391, 0.0407, 0.0213, 0.0021, 0.014, 0.074, 0.0005]))
Row(prediction=3.0, features=DenseVector([26.0, 18.0, 47.0]), label=3.0, probability=DenseVector([0.0182, 0.2425, 0.0122, 0.4629, 0.0054, 0.0215, 0.038, 0.0425, 0.0445, 0.0216, 0.002, 0.0149, 0.0733, 0.0005]))
Row(prediction=3.0, features=DenseVector([26.0, 19.0, 46.0]), label=3.0, probability=DenseVector([0.0181, 0.2523, 0.0112, 0.4335, 0.0061, 0.0386, 0.0485, 0.0391, 0.0407, 0.0213, 0.0021, 0.014, 0.074, 0.0005]))
Row(prediction=3.0, features=DenseVector([26.0, 19.0, 47.0]), label=1.0, probability=DenseVector([0.0182, 0.2425, 0.0122, 0.4629, 0.0054, 0.0215, 0.038, 0.0425, 0.0445, 0.0216, 0.002, 0.0149, 0.0733, 0.0005]))
Row(prediction=3.0, features=DenseVector([26.0, 21.0, 53.0]), label=3.0, probability=DenseVector([0.0098, 0.1923, 0.03, 0.46, 0.0025, 0.0144, 0.0171, 0.0662, 0.0762, 0.0336, 0.0009, 0.0287, 0.0669, 0.0012]))
Row(prediction=3.0, features=DenseVector([26.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 24.0, 47.0]), label=1.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 24.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 24.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 25.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 25.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 25.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 26.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 26.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 27.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 27.0, 51.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 28.0, 52.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 28.0, 54.0]), label=1.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 44.0]), label=1.0, probability=DenseVector([0.0358, 0.2342, 0.0594, 0.2782, 0.0165, 0.0164, 0.0804, 0.0635, 0.0729, 0.0342, 0.0071, 0.0188, 0.0805, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 31.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 31.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 44.0]), label=4.0, probability=DenseVector([0.0358, 0.2342, 0.0594, 0.2782, 0.0165, 0.0164, 0.0804, 0.0635, 0.0729, 0.0342, 0.0071, 0.0188, 0.0805, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 51.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 53.0]), label=4.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 55.0]), label=3.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 49.0]), label=12.0, probability=DenseVector([0.0287, 0.1665, 0.0767, 0.3351, 0.0083, 0.026, 0.0283, 0.094, 0.1096, 0.0318, 0.0046, 0.0335, 0.0546, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 54.0]), label=1.0, probability=DenseVector([0.0255, 0.1725, 0.0925, 0.2709, 0.0078, 0.0206, 0.0192, 0.1045, 0.1419, 0.0457, 0.0046, 0.0444, 0.0478, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 45.0]), label=12.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 50.0]), label=1.0, probability=DenseVector([0.0378, 0.1591, 0.0986, 0.2543, 0.0114, 0.0252, 0.0355, 0.1109, 0.1305, 0.0365, 0.0062, 0.0407, 0.0508, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 54.0]), label=1.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=6.0, features=DenseVector([26.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 43.0]), label=1.0, probability=DenseVector([0.055, 0.1702, 0.1032, 0.1749, 0.0219, 0.017, 0.0949, 0.1017, 0.1189, 0.0411, 0.0137, 0.0321, 0.0528, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=6.0, features=DenseVector([26.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 47.0]), label=12.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 48.0]), label=1.0, probability=DenseVector([0.0416, 0.1536, 0.1163, 0.2271, 0.0137, 0.0236, 0.0386, 0.1135, 0.1322, 0.0392, 0.0074, 0.0419, 0.0488, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0403, 0.1546, 0.1093, 0.2393, 0.0129, 0.0242, 0.0359, 0.1132, 0.1316, 0.0383, 0.007, 0.0424, 0.0487, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0403, 0.1546, 0.1093, 0.2393, 0.0129, 0.0242, 0.0359, 0.1132, 0.1316, 0.0383, 0.007, 0.0424, 0.0487, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 54.0]), label=12.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=2.0, features=DenseVector([26.0, 40.0, 46.0]), label=4.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 48.0]), label=0.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 50.0]), label=7.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0498, 0.1437, 0.1387, 0.1988, 0.0123, 0.0155, 0.0342, 0.0987, 0.1496, 0.0498, 0.0068, 0.0491, 0.051, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0498, 0.1437, 0.1387, 0.1988, 0.0123, 0.0155, 0.0342, 0.0987, 0.1496, 0.0498, 0.0068, 0.0491, 0.051, 0.002]))
Row(prediction=6.0, features=DenseVector([26.0, 41.0, 41.0]), label=4.0, probability=DenseVector([0.0817, 0.106, 0.0353, 0.0333, 0.0525, 0.017, 0.44, 0.0258, 0.0281, 0.0653, 0.0795, 0.0047, 0.0292, 0.0017]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=2.0, features=DenseVector([26.0, 42.0, 46.0]), label=4.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 42.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([26.0, 42.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 49.0]), label=10.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.049, 0.1411, 0.1468, 0.1957, 0.013, 0.0155, 0.0365, 0.0953, 0.1486, 0.052, 0.0073, 0.0479, 0.0494, 0.002]))
Row(prediction=6.0, features=DenseVector([26.0, 43.0, 42.0]), label=12.0, probability=DenseVector([0.0797, 0.121, 0.1186, 0.0802, 0.0484, 0.0124, 0.2118, 0.0628, 0.0851, 0.0636, 0.0515, 0.0214, 0.0413, 0.0023]))
Row(prediction=6.0, features=DenseVector([26.0, 43.0, 42.0]), label=4.0, probability=DenseVector([0.0797, 0.121, 0.1186, 0.0802, 0.0484, 0.0124, 0.2118, 0.0628, 0.0851, 0.0636, 0.0515, 0.0214, 0.0413, 0.0023]))
Row(prediction=2.0, features=DenseVector([26.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 49.0]), label=0.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0486, 0.1412, 0.1518, 0.1932, 0.0138, 0.0155, 0.0396, 0.0947, 0.1484, 0.0525, 0.0074, 0.0476, 0.0434, 0.002]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 46.0]), label=1.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 47.0]), label=7.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 49.0]), label=12.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 52.0]), label=1.0, probability=DenseVector([0.0486, 0.1412, 0.1518, 0.1932, 0.0138, 0.0155, 0.0396, 0.0947, 0.1484, 0.0525, 0.0074, 0.0476, 0.0434, 0.002]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 46.0]), label=4.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 47.0]), label=1.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 50.0]), label=4.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 50.0]), label=1.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 40.0]), label=0.0, probability=DenseVector([0.1055, 0.0631, 0.0297, 0.0204, 0.0527, 0.0072, 0.5173, 0.0144, 0.0252, 0.0733, 0.0631, 0.0041, 0.0233, 0.0007]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 46.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 46.0]), label=1.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 47.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 45.0]), label=1.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 47.0]), label=1.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 44.0]), label=4.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 47.0]), label=1.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 42.0]), label=10.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 50.0, 47.0]), label=10.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 53.0, 44.0]), label=1.0, probability=DenseVector([0.0496, 0.1004, 0.2314, 0.0825, 0.036, 0.0009, 0.1605, 0.0696, 0.1067, 0.0707, 0.0234, 0.0254, 0.0342, 0.0087]))
Row(prediction=2.0, features=DenseVector([26.0, 53.0, 45.0]), label=3.0, probability=DenseVector([0.0496, 0.1004, 0.2314, 0.0825, 0.036, 0.0009, 0.1605, 0.0696, 0.1067, 0.0707, 0.0234, 0.0254, 0.0342, 0.0087]))
Row(prediction=2.0, features=DenseVector([26.0, 53.0, 48.0]), label=4.0, probability=DenseVector([0.0427, 0.1068, 0.1985, 0.1171, 0.0363, 0.0016, 0.1154, 0.0738, 0.115, 0.099, 0.0233, 0.0286, 0.0359, 0.006]))
Row(prediction=1.0, features=DenseVector([27.0, 9.0, 30.0]), label=1.0, probability=DenseVector([0.0086, 0.2978, 0.0005, 0.1473, 0.0165, 0.1802, 0.193, 0.0013, 0.0033, 0.096, 0.0096, 0.0003, 0.0456, 0.0]))
Row(prediction=5.0, features=DenseVector([27.0, 15.0, 40.0]), label=3.0, probability=DenseVector([0.0056, 0.1285, 0.001, 0.1296, 0.007, 0.4966, 0.1286, 0.0008, 0.0021, 0.0478, 0.0076, 0.0176, 0.0272, 0.0]))
Row(prediction=3.0, features=DenseVector([27.0, 17.0, 44.0]), label=3.0, probability=DenseVector([0.0191, 0.247, 0.03, 0.3561, 0.0081, 0.0676, 0.0721, 0.0395, 0.0422, 0.0244, 0.0028, 0.0142, 0.0741, 0.0026]))
Row(prediction=3.0, features=DenseVector([27.0, 17.0, 44.0]), label=3.0, probability=DenseVector([0.0191, 0.247, 0.03, 0.3561, 0.0081, 0.0676, 0.0721, 0.0395, 0.0422, 0.0244, 0.0028, 0.0142, 0.0741, 0.0026]))
Row(prediction=3.0, features=DenseVector([27.0, 18.0, 44.0]), label=1.0, probability=DenseVector([0.0191, 0.247, 0.03, 0.3561, 0.0081, 0.0676, 0.0721, 0.0395, 0.0422, 0.0244, 0.0028, 0.0142, 0.0741, 0.0026]))
Row(prediction=3.0, features=DenseVector([27.0, 18.0, 45.0]), label=3.0, probability=DenseVector([0.0196, 0.2474, 0.03, 0.3994, 0.008, 0.0398, 0.0577, 0.0395, 0.0422, 0.0231, 0.0028, 0.0145, 0.0733, 0.0026]))
Row(prediction=3.0, features=DenseVector([27.0, 18.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([27.0, 19.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([27.0, 19.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([27.0, 19.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([27.0, 19.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([27.0, 19.0, 50.0]), label=1.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([27.0, 20.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([27.0, 20.0, 47.0]), label=1.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([27.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([27.0, 22.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 22.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([27.0, 24.0, 41.0]), label=1.0, probability=DenseVector([0.0621, 0.1284, 0.0218, 0.0743, 0.0376, 0.0639, 0.4056, 0.0212, 0.0253, 0.0575, 0.056, 0.0049, 0.04, 0.0015]))
Row(prediction=3.0, features=DenseVector([27.0, 24.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([27.0, 25.0, 41.0]), label=4.0, probability=DenseVector([0.0621, 0.1284, 0.0218, 0.0743, 0.0376, 0.0639, 0.4056, 0.0212, 0.0253, 0.0575, 0.056, 0.0049, 0.04, 0.0015]))
Row(prediction=3.0, features=DenseVector([27.0, 25.0, 46.0]), label=1.0, probability=DenseVector([0.0245, 0.2441, 0.0378, 0.3601, 0.011, 0.026, 0.0604, 0.0503, 0.0544, 0.0273, 0.0042, 0.0163, 0.0799, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 28.0, 56.0]), label=2.0, probability=DenseVector([0.0102, 0.1924, 0.03, 0.3758, 0.0036, 0.0094, 0.0175, 0.0633, 0.0811, 0.0762, 0.0014, 0.0331, 0.1048, 0.0011]))
Row(prediction=3.0, features=DenseVector([27.0, 29.0, 54.0]), label=3.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 51.0]), label=8.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.0315, 0.1709, 0.1061, 0.2231, 0.009, 0.0204, 0.022, 0.1144, 0.1547, 0.047, 0.0053, 0.0495, 0.0437, 0.0022]))
Row(prediction=6.0, features=DenseVector([27.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0347, 0.1507, 0.1148, 0.2612, 0.0106, 0.0262, 0.0325, 0.1063, 0.1319, 0.0356, 0.0062, 0.0411, 0.0454, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 54.0]), label=1.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=6.0, features=DenseVector([27.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 54.0]), label=1.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=6.0, features=DenseVector([27.0, 39.0, 19.0]), label=4.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 44.0]), label=4.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 56.0]), label=12.0, probability=DenseVector([0.0307, 0.1721, 0.1052, 0.2013, 0.0103, 0.0237, 0.0236, 0.1094, 0.1543, 0.0623, 0.0073, 0.0489, 0.0495, 0.0016]))
Row(prediction=2.0, features=DenseVector([27.0, 40.0, 43.0]), label=10.0, probability=DenseVector([0.0592, 0.1353, 0.1824, 0.1322, 0.0267, 0.021, 0.1125, 0.0764, 0.1157, 0.0468, 0.0197, 0.0309, 0.0362, 0.0049]))
Row(prediction=2.0, features=DenseVector([27.0, 40.0, 43.0]), label=0.0, probability=DenseVector([0.0592, 0.1353, 0.1824, 0.1322, 0.0267, 0.021, 0.1125, 0.0764, 0.1157, 0.0468, 0.0197, 0.0309, 0.0362, 0.0049]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=6.0, features=DenseVector([27.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 48.0]), label=1.0, probability=DenseVector([0.0418, 0.1174, 0.1924, 0.2019, 0.0127, 0.0173, 0.0424, 0.0898, 0.1439, 0.0428, 0.0085, 0.0437, 0.0413, 0.004]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0418, 0.1174, 0.1924, 0.2019, 0.0127, 0.0173, 0.0424, 0.0898, 0.1439, 0.0428, 0.0085, 0.0437, 0.0413, 0.004]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 49.0]), label=12.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 49.0]), label=12.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([27.0, 42.0, 53.0]), label=2.0, probability=DenseVector([0.0457, 0.1348, 0.1687, 0.2116, 0.0113, 0.0173, 0.0318, 0.0903, 0.1445, 0.0475, 0.0078, 0.0507, 0.0353, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 42.0, 53.0]), label=0.0, probability=DenseVector([0.0457, 0.1348, 0.1687, 0.2116, 0.0113, 0.0173, 0.0318, 0.0903, 0.1445, 0.0475, 0.0078, 0.0507, 0.0353, 0.003]))
Row(prediction=6.0, features=DenseVector([27.0, 43.0, 40.0]), label=4.0, probability=DenseVector([0.096, 0.0602, 0.0182, 0.0166, 0.0549, 0.0116, 0.5213, 0.0109, 0.0179, 0.0786, 0.0869, 0.0028, 0.0237, 0.0004]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 50.0]), label=10.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([27.0, 43.0, 52.0]), label=2.0, probability=DenseVector([0.0449, 0.1315, 0.17, 0.2179, 0.0107, 0.0173, 0.0314, 0.0911, 0.1463, 0.0451, 0.0075, 0.0494, 0.034, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 43.0, 56.0]), label=2.0, probability=DenseVector([0.043, 0.1356, 0.1539, 0.1812, 0.0171, 0.0142, 0.033, 0.0805, 0.1518, 0.084, 0.0123, 0.0468, 0.0445, 0.0022]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 48.0]), label=10.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=6.0, features=DenseVector([27.0, 45.0, 38.0]), label=10.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 49.0]), label=0.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 44.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 45.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 47.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=6.0, features=DenseVector([27.0, 47.0, 42.0]), label=2.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 44.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 46.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 43.0]), label=4.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 44.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 44.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 46.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 47.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 51.0]), label=1.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 32.0]), label=4.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 37.0]), label=4.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 50.0]), label=4.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 37.0]), label=7.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=3.0, features=DenseVector([28.0, 18.0, 50.0]), label=1.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([28.0, 19.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([28.0, 19.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([28.0, 19.0, 49.0]), label=1.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([28.0, 20.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([28.0, 20.0, 48.0]), label=1.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([28.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([28.0, 21.0, 48.0]), label=1.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([28.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 23.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 23.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 25.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 29.0, 52.0]), label=2.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 29.0, 54.0]), label=12.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 55.0]), label=12.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=6.0, features=DenseVector([28.0, 31.0, 39.0]), label=8.0, probability=DenseVector([0.06, 0.0642, 0.0138, 0.0243, 0.0406, 0.0156, 0.5903, 0.0082, 0.0129, 0.0766, 0.066, 0.0021, 0.025, 0.0004]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 54.0]), label=12.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 46.0]), label=2.0, probability=DenseVector([0.0325, 0.2223, 0.0712, 0.2975, 0.0148, 0.0163, 0.067, 0.0627, 0.0724, 0.0349, 0.0068, 0.0198, 0.0774, 0.0044]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 55.0]), label=3.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 56.0]), label=12.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 51.0]), label=8.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 51.0]), label=8.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 54.0]), label=8.0, probability=DenseVector([0.0122, 0.196, 0.0385, 0.3998, 0.0039, 0.0112, 0.018, 0.0753, 0.0953, 0.0408, 0.0019, 0.0356, 0.0697, 0.0018]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0287, 0.1665, 0.0767, 0.3351, 0.0083, 0.026, 0.0283, 0.094, 0.1096, 0.0318, 0.0046, 0.0335, 0.0546, 0.0023]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.0255, 0.1725, 0.0925, 0.2709, 0.0078, 0.0206, 0.0192, 0.1045, 0.1419, 0.0457, 0.0046, 0.0444, 0.0478, 0.0023]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 54.0]), label=8.0, probability=DenseVector([0.0255, 0.1725, 0.0925, 0.2709, 0.0078, 0.0206, 0.0192, 0.1045, 0.1419, 0.0457, 0.0046, 0.0444, 0.0478, 0.0023]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 60.0]), label=1.0, probability=DenseVector([0.0249, 0.1785, 0.0883, 0.2611, 0.008, 0.0198, 0.0202, 0.1034, 0.1432, 0.0504, 0.0045, 0.0446, 0.0512, 0.0018]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 51.0]), label=12.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 51.0]), label=8.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 54.0]), label=8.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=4.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=7.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 55.0]), label=3.0, probability=DenseVector([0.0319, 0.1741, 0.1088, 0.2077, 0.0095, 0.0239, 0.023, 0.1131, 0.1528, 0.0521, 0.0053, 0.0498, 0.0463, 0.0017]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=2.0, features=DenseVector([28.0, 40.0, 44.0]), label=1.0, probability=DenseVector([0.0496, 0.1246, 0.2147, 0.1597, 0.0171, 0.0172, 0.0523, 0.0837, 0.1374, 0.046, 0.0115, 0.0388, 0.0411, 0.0064]))
Row(prediction=2.0, features=DenseVector([28.0, 40.0, 47.0]), label=4.0, probability=DenseVector([0.0496, 0.1246, 0.2147, 0.1597, 0.0171, 0.0172, 0.0523, 0.0837, 0.1374, 0.046, 0.0115, 0.0388, 0.0411, 0.0064]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 48.0]), label=0.0, probability=DenseVector([0.0418, 0.1174, 0.1924, 0.2019, 0.0127, 0.0173, 0.0424, 0.0898, 0.1439, 0.0428, 0.0085, 0.0437, 0.0413, 0.004]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 50.0]), label=4.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 51.0]), label=0.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([28.0, 42.0, 52.0]), label=1.0, probability=DenseVector([0.0449, 0.1315, 0.17, 0.2179, 0.0107, 0.0173, 0.0314, 0.0911, 0.1463, 0.0451, 0.0075, 0.0494, 0.034, 0.003]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 48.0]), label=1.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=1.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 50.0]), label=1.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 45.0]), label=1.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 50.0]), label=0.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 45.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 46.0]), label=4.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 46.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 46.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 46.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 51.0]), label=3.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 52.0]), label=1.0, probability=DenseVector([0.0297, 0.1189, 0.2137, 0.1817, 0.0158, 0.0109, 0.0514, 0.0769, 0.1336, 0.078, 0.0087, 0.0385, 0.0318, 0.01]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 52.0]), label=0.0, probability=DenseVector([0.0297, 0.1189, 0.2137, 0.1817, 0.0158, 0.0109, 0.0514, 0.0769, 0.1336, 0.078, 0.0087, 0.0385, 0.0318, 0.01]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 39.0]), label=4.0, probability=DenseVector([0.09, 0.0476, 0.0363, 0.0336, 0.0379, 0.0001, 0.5862, 0.0204, 0.0416, 0.0525, 0.0269, 0.0077, 0.0185, 0.0007]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 43.0]), label=1.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=6.0, features=DenseVector([28.0, 49.0, 33.0]), label=4.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 49.0, 35.0]), label=10.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 45.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 44.0]), label=12.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 51.0]), label=1.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 51.0, 42.0]), label=12.0, probability=DenseVector([0.0406, 0.0775, 0.2836, 0.1085, 0.0303, 0.0104, 0.1779, 0.0546, 0.0869, 0.0642, 0.0162, 0.0214, 0.0182, 0.0098]))
Row(prediction=2.0, features=DenseVector([28.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 33.0]), label=4.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=2.0, features=DenseVector([28.0, 52.0, 46.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([28.0, 52.0, 47.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=3.0, features=DenseVector([29.0, 8.0, 44.0]), label=12.0, probability=DenseVector([0.0191, 0.247, 0.03, 0.3561, 0.0081, 0.0676, 0.0721, 0.0395, 0.0422, 0.0244, 0.0028, 0.0142, 0.0741, 0.0026]))
Row(prediction=1.0, features=DenseVector([29.0, 12.0, 36.0]), label=1.0, probability=DenseVector([0.0055, 0.2865, 0.0005, 0.125, 0.0157, 0.258, 0.1438, 0.0007, 0.0032, 0.1096, 0.0074, 0.0005, 0.0436, 0.0]))
Row(prediction=1.0, features=DenseVector([29.0, 17.0, 32.0]), label=8.0, probability=DenseVector([0.0086, 0.2773, 0.0005, 0.1119, 0.0171, 0.2518, 0.1767, 0.0013, 0.0035, 0.1002, 0.0096, 0.0003, 0.0412, 0.0]))
Row(prediction=3.0, features=DenseVector([29.0, 17.0, 46.0]), label=1.0, probability=DenseVector([0.0189, 0.2395, 0.0305, 0.4152, 0.0069, 0.0391, 0.0473, 0.0413, 0.0444, 0.0237, 0.0027, 0.0152, 0.0725, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 18.0, 45.0]), label=1.0, probability=DenseVector([0.0196, 0.2474, 0.03, 0.3994, 0.008, 0.0398, 0.0577, 0.0395, 0.0422, 0.0231, 0.0028, 0.0145, 0.0733, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 18.0, 47.0]), label=1.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 19.0, 49.0]), label=1.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 19.0, 50.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0138, 0.1971, 0.0406, 0.4582, 0.0036, 0.0253, 0.0241, 0.0564, 0.064, 0.0263, 0.0016, 0.0211, 0.0665, 0.0013]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0138, 0.1971, 0.0406, 0.4582, 0.0036, 0.0253, 0.0241, 0.0564, 0.064, 0.0263, 0.0016, 0.0211, 0.0665, 0.0013]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 49.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 49.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 21.0, 49.0]), label=1.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 21.0, 50.0]), label=1.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 21.0, 51.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 22.0, 49.0]), label=1.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 23.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 23.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 24.0, 56.0]), label=8.0, probability=DenseVector([0.0102, 0.1807, 0.0491, 0.3781, 0.0037, 0.0169, 0.0146, 0.0666, 0.0869, 0.0703, 0.0012, 0.0372, 0.0828, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 25.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 54.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 58.0]), label=1.0, probability=DenseVector([0.0102, 0.1807, 0.0491, 0.3781, 0.0037, 0.0169, 0.0146, 0.0666, 0.0869, 0.0703, 0.0012, 0.0372, 0.0828, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 49.0]), label=8.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 55.0]), label=12.0, probability=DenseVector([0.0102, 0.1874, 0.052, 0.3823, 0.0037, 0.0166, 0.0153, 0.0679, 0.0907, 0.0529, 0.0012, 0.0401, 0.078, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 57.0]), label=2.0, probability=DenseVector([0.0102, 0.1874, 0.052, 0.3823, 0.0037, 0.0166, 0.0153, 0.0679, 0.0907, 0.0529, 0.0012, 0.0401, 0.078, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 54.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 54.0]), label=7.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 50.0]), label=4.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=8.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 56.0]), label=1.0, probability=DenseVector([0.0102, 0.1874, 0.052, 0.3823, 0.0037, 0.0166, 0.0153, 0.0679, 0.0907, 0.0529, 0.0012, 0.0401, 0.078, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 63.0]), label=12.0, probability=DenseVector([0.0102, 0.1847, 0.0509, 0.3792, 0.0041, 0.0166, 0.0147, 0.0667, 0.0914, 0.0681, 0.0012, 0.0347, 0.0758, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 51.0]), label=4.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 51.0]), label=8.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 49.0]), label=1.0, probability=DenseVector([0.029, 0.1583, 0.0924, 0.3195, 0.0087, 0.0334, 0.0262, 0.0959, 0.1144, 0.0324, 0.0049, 0.0329, 0.0492, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 54.0]), label=8.0, probability=DenseVector([0.0254, 0.1598, 0.1102, 0.2684, 0.0075, 0.028, 0.0173, 0.1072, 0.145, 0.0406, 0.0044, 0.0431, 0.04, 0.0028]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 59.0]), label=1.0, probability=DenseVector([0.0248, 0.1658, 0.1061, 0.2586, 0.0078, 0.0272, 0.0183, 0.1062, 0.1463, 0.0453, 0.0043, 0.0433, 0.0435, 0.0024]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 51.0]), label=8.0, probability=DenseVector([0.0293, 0.1345, 0.1401, 0.2734, 0.0094, 0.0425, 0.0251, 0.0976, 0.1312, 0.0358, 0.0059, 0.0353, 0.0362, 0.0038]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=12.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0317, 0.1384, 0.1333, 0.2691, 0.0103, 0.0385, 0.0276, 0.1012, 0.1296, 0.0358, 0.0061, 0.0361, 0.0386, 0.0036]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0293, 0.1345, 0.1401, 0.2734, 0.0094, 0.0425, 0.0251, 0.0976, 0.1312, 0.0358, 0.0059, 0.0353, 0.0362, 0.0038]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 54.0]), label=2.0, probability=DenseVector([0.0292, 0.1512, 0.1335, 0.2385, 0.0083, 0.0371, 0.0173, 0.1098, 0.1476, 0.042, 0.005, 0.0439, 0.0337, 0.003]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 55.0]), label=4.0, probability=DenseVector([0.0286, 0.1573, 0.1293, 0.2287, 0.0085, 0.0363, 0.0183, 0.1088, 0.1489, 0.0467, 0.0049, 0.0441, 0.0371, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 46.0]), label=8.0, probability=DenseVector([0.044, 0.1553, 0.1612, 0.1958, 0.0172, 0.021, 0.0523, 0.0952, 0.1218, 0.0408, 0.0102, 0.0326, 0.044, 0.0085]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 50.0]), label=8.0, probability=DenseVector([0.0329, 0.1325, 0.1406, 0.2549, 0.011, 0.0494, 0.0269, 0.1008, 0.1318, 0.0352, 0.0071, 0.0366, 0.0359, 0.0044]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.0329, 0.1325, 0.1406, 0.2549, 0.011, 0.0494, 0.0269, 0.1008, 0.1318, 0.0352, 0.0071, 0.0366, 0.0359, 0.0044]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 51.0]), label=8.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 55.0]), label=3.0, probability=DenseVector([0.0286, 0.1573, 0.1293, 0.2287, 0.0085, 0.0363, 0.0183, 0.1088, 0.1489, 0.0467, 0.0049, 0.0441, 0.0371, 0.0025]))
Row(prediction=6.0, features=DenseVector([29.0, 38.0, 41.0]), label=12.0, probability=DenseVector([0.0727, 0.0969, 0.0343, 0.0614, 0.0472, 0.0178, 0.4257, 0.0286, 0.0363, 0.0636, 0.0752, 0.008, 0.0303, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 54.0]), label=10.0, probability=DenseVector([0.0292, 0.1512, 0.1335, 0.2385, 0.0083, 0.0371, 0.0173, 0.1098, 0.1476, 0.042, 0.005, 0.0439, 0.0337, 0.003]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0329, 0.1325, 0.1406, 0.2549, 0.011, 0.0494, 0.0269, 0.1008, 0.1318, 0.0352, 0.0071, 0.0366, 0.0359, 0.0044]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 55.0]), label=2.0, probability=DenseVector([0.0286, 0.1573, 0.1293, 0.2287, 0.0085, 0.0363, 0.0183, 0.1088, 0.1489, 0.0467, 0.0049, 0.0441, 0.0371, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 56.0]), label=8.0, probability=DenseVector([0.0274, 0.1553, 0.1257, 0.2222, 0.0093, 0.0361, 0.0189, 0.105, 0.1504, 0.0569, 0.0068, 0.0432, 0.0403, 0.0024]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 59.0]), label=1.0, probability=DenseVector([0.0274, 0.1553, 0.1257, 0.2222, 0.0093, 0.0361, 0.0189, 0.105, 0.1504, 0.0569, 0.0068, 0.0432, 0.0403, 0.0024]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 50.0]), label=7.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 54.0]), label=8.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 54.0]), label=3.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 56.0]), label=3.0, probability=DenseVector([0.0374, 0.1157, 0.1706, 0.2066, 0.017, 0.0331, 0.0255, 0.0785, 0.1495, 0.0763, 0.0111, 0.0387, 0.0362, 0.0038]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 49.0]), label=0.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 53.0]), label=12.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 44.0]), label=12.0, probability=DenseVector([0.0444, 0.0973, 0.2424, 0.1607, 0.0208, 0.0178, 0.0556, 0.0737, 0.1293, 0.0603, 0.0148, 0.0395, 0.0325, 0.0108]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 46.0]), label=1.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=3.0, features=DenseVector([29.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=6.0, features=DenseVector([29.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.0982, 0.0543, 0.0115, 0.0127, 0.0522, 0.0115, 0.5412, 0.0097, 0.0151, 0.072, 0.0978, 0.002, 0.0215, 0.0002]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=3.0, features=DenseVector([29.0, 43.0, 59.0]), label=1.0, probability=DenseVector([0.0374, 0.1157, 0.1706, 0.2066, 0.017, 0.0331, 0.0255, 0.0785, 0.1495, 0.0763, 0.0111, 0.0387, 0.0362, 0.0038]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 43.0]), label=4.0, probability=DenseVector([0.0588, 0.0994, 0.202, 0.1356, 0.0313, 0.0215, 0.1161, 0.0639, 0.1069, 0.066, 0.0257, 0.0331, 0.0306, 0.0092]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=1.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=3.0, features=DenseVector([29.0, 44.0, 53.0]), label=3.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 44.0]), label=3.0, probability=DenseVector([0.0417, 0.0922, 0.2725, 0.1435, 0.0211, 0.0077, 0.0635, 0.0706, 0.1285, 0.0626, 0.0146, 0.0387, 0.0289, 0.0138]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 46.0]), label=10.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 61.0]), label=3.0, probability=DenseVector([0.028, 0.1066, 0.22, 0.1733, 0.022, 0.0254, 0.0401, 0.0719, 0.1332, 0.0915, 0.0124, 0.0333, 0.0315, 0.0109]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 48.0]), label=1.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=6.0, features=DenseVector([29.0, 48.0, 42.0]), label=4.0, probability=DenseVector([0.0588, 0.0741, 0.2178, 0.0924, 0.0383, 0.0103, 0.2496, 0.0473, 0.0769, 0.0571, 0.0271, 0.0202, 0.0179, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 43.0]), label=10.0, probability=DenseVector([0.0387, 0.0802, 0.287, 0.1173, 0.025, 0.0111, 0.1498, 0.058, 0.0979, 0.0543, 0.0165, 0.0239, 0.019, 0.0213]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 44.0]), label=1.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 41.0]), label=3.0, probability=DenseVector([0.0762, 0.0552, 0.087, 0.0457, 0.0409, 0.0002, 0.5048, 0.027, 0.0519, 0.0542, 0.0252, 0.0106, 0.0181, 0.0031]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 44.0]), label=1.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 51.0]), label=3.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 52.0]), label=1.0, probability=DenseVector([0.0244, 0.1032, 0.215, 0.1685, 0.0212, 0.0169, 0.0436, 0.0692, 0.1216, 0.1398, 0.0084, 0.0304, 0.0277, 0.0101]))
Row(prediction=6.0, features=DenseVector([29.0, 51.0, 30.0]), label=4.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 43.0]), label=4.0, probability=DenseVector([0.0333, 0.069, 0.3147, 0.1224, 0.0249, 0.0107, 0.1595, 0.0508, 0.0829, 0.0619, 0.0148, 0.0202, 0.0154, 0.0196]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 46.0]), label=2.0, probability=DenseVector([0.0282, 0.0716, 0.3477, 0.1294, 0.0189, 0.0046, 0.1069, 0.0581, 0.0978, 0.0616, 0.0126, 0.0243, 0.0163, 0.0219]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 28.0]), label=4.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 32.0]), label=4.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=2.0, features=DenseVector([29.0, 55.0, 46.0]), label=12.0, probability=DenseVector([0.0343, 0.0704, 0.3081, 0.1205, 0.0259, 0.0045, 0.1425, 0.054, 0.0944, 0.0659, 0.0168, 0.0235, 0.0176, 0.0217]))
Row(prediction=1.0, features=DenseVector([30.0, 11.0, 35.0]), label=1.0, probability=DenseVector([0.0055, 0.2865, 0.0005, 0.125, 0.0157, 0.258, 0.1438, 0.0007, 0.0032, 0.1096, 0.0074, 0.0005, 0.0436, 0.0]))
Row(prediction=1.0, features=DenseVector([30.0, 12.0, 35.0]), label=1.0, probability=DenseVector([0.0055, 0.2865, 0.0005, 0.125, 0.0157, 0.258, 0.1438, 0.0007, 0.0032, 0.1096, 0.0074, 0.0005, 0.0436, 0.0]))
Row(prediction=3.0, features=DenseVector([30.0, 16.0, 46.0]), label=1.0, probability=DenseVector([0.009, 0.1976, 0.0403, 0.3667, 0.0049, 0.1619, 0.0269, 0.0319, 0.0353, 0.0449, 0.0027, 0.016, 0.0592, 0.0029]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0106, 0.1841, 0.043, 0.3869, 0.0034, 0.132, 0.0182, 0.0483, 0.0559, 0.0367, 0.0014, 0.0199, 0.0581, 0.0015]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0106, 0.1841, 0.043, 0.3869, 0.0034, 0.132, 0.0182, 0.0483, 0.0559, 0.0367, 0.0014, 0.0199, 0.0581, 0.0015]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 49.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 49.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 49.0]), label=1.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 50.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 50.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 42.0]), label=1.0, probability=DenseVector([0.0282, 0.1736, 0.0468, 0.1883, 0.0231, 0.1725, 0.1532, 0.0298, 0.0338, 0.0565, 0.0229, 0.0128, 0.0556, 0.0029]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 49.0]), label=1.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 23.0, 52.0]), label=12.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 51.0]), label=1.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 50.0]), label=1.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 53.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 53.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 48.0]), label=1.0, probability=DenseVector([0.0145, 0.1805, 0.064, 0.4094, 0.0065, 0.0435, 0.0233, 0.0568, 0.0666, 0.0353, 0.0039, 0.0242, 0.0602, 0.0114]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 49.0]), label=1.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 52.0]), label=7.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 54.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 53.0]), label=7.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 54.0]), label=7.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=6.0, features=DenseVector([30.0, 31.0, 33.0]), label=10.0, probability=DenseVector([0.0621, 0.0526, 0.0067, 0.0099, 0.042, 0.0115, 0.6092, 0.0078, 0.0087, 0.0868, 0.0743, 0.0076, 0.0208, 0.0002]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 54.0]), label=2.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 56.0]), label=3.0, probability=DenseVector([0.009, 0.1888, 0.0516, 0.3827, 0.0035, 0.0215, 0.0138, 0.0668, 0.0887, 0.0531, 0.0011, 0.0407, 0.0768, 0.0019]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 58.0]), label=1.0, probability=DenseVector([0.009, 0.1888, 0.0516, 0.3827, 0.0035, 0.0215, 0.0138, 0.0668, 0.0887, 0.0531, 0.0011, 0.0407, 0.0768, 0.0019]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 46.0]), label=4.0, probability=DenseVector([0.0243, 0.1873, 0.0947, 0.295, 0.0148, 0.0474, 0.051, 0.0556, 0.0666, 0.0534, 0.0085, 0.0222, 0.0658, 0.0133]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 54.0]), label=1.0, probability=DenseVector([0.0113, 0.1754, 0.0611, 0.4083, 0.0035, 0.0251, 0.0129, 0.0748, 0.0981, 0.0352, 0.0015, 0.0333, 0.0562, 0.0034]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 54.0]), label=1.0, probability=DenseVector([0.0113, 0.1754, 0.0611, 0.4083, 0.0035, 0.0251, 0.0129, 0.0748, 0.0981, 0.0352, 0.0015, 0.0333, 0.0562, 0.0034]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 54.0]), label=8.0, probability=DenseVector([0.0113, 0.1754, 0.0611, 0.4083, 0.0035, 0.0251, 0.0129, 0.0748, 0.0981, 0.0352, 0.0015, 0.0333, 0.0562, 0.0034]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 54.0]), label=1.0, probability=DenseVector([0.0113, 0.1754, 0.0611, 0.4083, 0.0035, 0.0251, 0.0129, 0.0748, 0.0981, 0.0352, 0.0015, 0.0333, 0.0562, 0.0034]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 57.0]), label=3.0, probability=DenseVector([0.0113, 0.1734, 0.0599, 0.4032, 0.0071, 0.0291, 0.0127, 0.0707, 0.0962, 0.0419, 0.002, 0.0315, 0.0575, 0.0033]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 54.0]), label=12.0, probability=DenseVector([0.0228, 0.1194, 0.1487, 0.2806, 0.0069, 0.0565, 0.0104, 0.0996, 0.1422, 0.0393, 0.0044, 0.035, 0.0295, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.0228, 0.1194, 0.1487, 0.2806, 0.0069, 0.0565, 0.0104, 0.0996, 0.1422, 0.0393, 0.0044, 0.035, 0.0295, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 54.0]), label=2.0, probability=DenseVector([0.0228, 0.1194, 0.1487, 0.2806, 0.0069, 0.0565, 0.0104, 0.0996, 0.1422, 0.0393, 0.0044, 0.035, 0.0295, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 54.0]), label=8.0, probability=DenseVector([0.0228, 0.1194, 0.1487, 0.2806, 0.0069, 0.0565, 0.0104, 0.0996, 0.1422, 0.0393, 0.0044, 0.035, 0.0295, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 54.0]), label=2.0, probability=DenseVector([0.0228, 0.1194, 0.1487, 0.2806, 0.0069, 0.0565, 0.0104, 0.0996, 0.1422, 0.0393, 0.0044, 0.035, 0.0295, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 54.0]), label=1.0, probability=DenseVector([0.0228, 0.1194, 0.1487, 0.2806, 0.0069, 0.0565, 0.0104, 0.0996, 0.1422, 0.0393, 0.0044, 0.035, 0.0295, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 54.0]), label=1.0, probability=DenseVector([0.0228, 0.1194, 0.1487, 0.2806, 0.0069, 0.0565, 0.0104, 0.0996, 0.1422, 0.0393, 0.0044, 0.035, 0.0295, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0312, 0.113, 0.1561, 0.254, 0.0128, 0.087, 0.0194, 0.091, 0.1207, 0.0377, 0.0085, 0.03, 0.0316, 0.0069]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 54.0]), label=2.0, probability=DenseVector([0.0251, 0.1065, 0.1708, 0.2597, 0.0075, 0.0639, 0.0098, 0.1022, 0.1469, 0.0403, 0.0049, 0.0338, 0.0235, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 54.0]), label=1.0, probability=DenseVector([0.0251, 0.1065, 0.1708, 0.2597, 0.0075, 0.0639, 0.0098, 0.1022, 0.1469, 0.0403, 0.0049, 0.0338, 0.0235, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 54.0]), label=1.0, probability=DenseVector([0.0251, 0.1065, 0.1708, 0.2597, 0.0075, 0.0639, 0.0098, 0.1022, 0.1469, 0.0403, 0.0049, 0.0338, 0.0235, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 54.0]), label=1.0, probability=DenseVector([0.0251, 0.1065, 0.1708, 0.2597, 0.0075, 0.0639, 0.0098, 0.1022, 0.1469, 0.0403, 0.0049, 0.0338, 0.0235, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 55.0]), label=4.0, probability=DenseVector([0.0251, 0.1046, 0.1696, 0.2546, 0.0111, 0.0679, 0.0096, 0.0981, 0.145, 0.047, 0.0055, 0.032, 0.0248, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 55.0]), label=2.0, probability=DenseVector([0.0251, 0.1046, 0.1696, 0.2546, 0.0111, 0.0679, 0.0096, 0.0981, 0.145, 0.047, 0.0055, 0.032, 0.0248, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 62.0]), label=3.0, probability=DenseVector([0.0251, 0.1046, 0.1696, 0.2546, 0.0111, 0.0679, 0.0096, 0.0981, 0.145, 0.047, 0.0055, 0.032, 0.0248, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 50.0]), label=8.0, probability=DenseVector([0.0312, 0.113, 0.1561, 0.254, 0.0128, 0.087, 0.0194, 0.091, 0.1207, 0.0377, 0.0085, 0.03, 0.0316, 0.0069]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0288, 0.1091, 0.1629, 0.2582, 0.0118, 0.091, 0.0169, 0.0874, 0.1222, 0.0377, 0.0082, 0.0292, 0.0293, 0.0071]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0288, 0.1091, 0.1629, 0.2582, 0.0118, 0.091, 0.0169, 0.0874, 0.1222, 0.0377, 0.0082, 0.0292, 0.0293, 0.0071]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0288, 0.1091, 0.1629, 0.2582, 0.0118, 0.091, 0.0169, 0.0874, 0.1222, 0.0377, 0.0082, 0.0292, 0.0293, 0.0071]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 54.0]), label=8.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=6.0, features=DenseVector([30.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 55.0]), label=1.0, probability=DenseVector([0.0272, 0.098, 0.1825, 0.2468, 0.0117, 0.0764, 0.0096, 0.0971, 0.1371, 0.048, 0.0056, 0.0315, 0.0235, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=0.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=0.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=10.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=10.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=6.0, features=DenseVector([30.0, 40.0, 42.0]), label=10.0, probability=DenseVector([0.059, 0.0932, 0.1635, 0.127, 0.0427, 0.0417, 0.1678, 0.0487, 0.0738, 0.0639, 0.0504, 0.0214, 0.0256, 0.0213]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 49.0]), label=0.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=0.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=10.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 53.0]), label=10.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=2.0, features=DenseVector([30.0, 41.0, 47.0]), label=3.0, probability=DenseVector([0.0391, 0.0865, 0.2358, 0.1924, 0.0196, 0.0554, 0.0445, 0.0692, 0.1123, 0.0458, 0.0129, 0.0271, 0.0297, 0.0298]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.035, 0.0853, 0.2124, 0.2277, 0.0159, 0.0678, 0.0295, 0.0748, 0.1208, 0.0415, 0.0102, 0.028, 0.0261, 0.0249]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=0.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=2.0, features=DenseVector([30.0, 42.0, 47.0]), label=10.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 48.0]), label=12.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=12.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 53.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 53.0]), label=0.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 54.0]), label=0.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=2.0, features=DenseVector([30.0, 44.0, 45.0]), label=10.0, probability=DenseVector([0.0414, 0.0879, 0.2375, 0.1805, 0.0225, 0.0375, 0.0507, 0.0684, 0.1113, 0.0589, 0.015, 0.0316, 0.0302, 0.0268]))
Row(prediction=2.0, features=DenseVector([30.0, 44.0, 46.0]), label=4.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 50.0]), label=10.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 51.0]), label=1.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 53.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=6.0, features=DenseVector([30.0, 45.0, 33.0]), label=10.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 45.0]), label=1.0, probability=DenseVector([0.0387, 0.0828, 0.2676, 0.1633, 0.0227, 0.0274, 0.0586, 0.0652, 0.1104, 0.0612, 0.0149, 0.0309, 0.0265, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 46.0]), label=4.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=1.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 51.0]), label=3.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 51.0]), label=3.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=3.0, features=DenseVector([30.0, 45.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0804, 0.226, 0.2432, 0.0134, 0.0692, 0.0205, 0.0793, 0.1238, 0.0418, 0.0073, 0.0255, 0.0209, 0.0159]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 52.0]), label=3.0, probability=DenseVector([0.0281, 0.0825, 0.2602, 0.2107, 0.0132, 0.0423, 0.0372, 0.0761, 0.1244, 0.0534, 0.0073, 0.0279, 0.0199, 0.0169]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 45.0]), label=4.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=6.0, features=DenseVector([30.0, 48.0, 37.0]), label=4.0, probability=DenseVector([0.0823, 0.0444, 0.0434, 0.0451, 0.0338, 0.0, 0.5571, 0.0152, 0.0594, 0.0573, 0.0284, 0.0095, 0.0236, 0.0005]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 42.0]), label=12.0, probability=DenseVector([0.0583, 0.0716, 0.2138, 0.0987, 0.0389, 0.0115, 0.2488, 0.0446, 0.071, 0.0578, 0.0274, 0.0185, 0.0181, 0.0208]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 43.0]), label=4.0, probability=DenseVector([0.0382, 0.0777, 0.283, 0.1235, 0.0256, 0.0124, 0.149, 0.0554, 0.0919, 0.055, 0.0169, 0.0222, 0.0192, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 40.0]), label=4.0, probability=DenseVector([0.0589, 0.0313, 0.0839, 0.0559, 0.0266, 0.0001, 0.5238, 0.0225, 0.0852, 0.0575, 0.0134, 0.0193, 0.0211, 0.0005]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 46.0]), label=3.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 44.0]), label=12.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 44.0]), label=3.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 30.0]), label=4.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 53.0, 43.0]), label=3.0, probability=DenseVector([0.0354, 0.0657, 0.2977, 0.1251, 0.0277, 0.012, 0.1729, 0.0472, 0.0764, 0.0618, 0.0153, 0.019, 0.0157, 0.0281]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 29.0]), label=4.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=1.0, features=DenseVector([31.0, 9.0, 34.0]), label=1.0, probability=DenseVector([0.0077, 0.277, 0.0028, 0.1104, 0.017, 0.2642, 0.1547, 0.0012, 0.0037, 0.1129, 0.0057, 0.0007, 0.042, 0.0]))
Row(prediction=1.0, features=DenseVector([31.0, 10.0, 30.0]), label=1.0, probability=DenseVector([0.0077, 0.277, 0.0028, 0.1104, 0.017, 0.2642, 0.1547, 0.0012, 0.0037, 0.1129, 0.0057, 0.0007, 0.042, 0.0]))
Row(prediction=1.0, features=DenseVector([31.0, 12.0, 29.0]), label=1.0, probability=DenseVector([0.0044, 0.2916, 0.0024, 0.1077, 0.0209, 0.2572, 0.1307, 0.0008, 0.0033, 0.1334, 0.0034, 0.0007, 0.0435, 0.0]))
Row(prediction=1.0, features=DenseVector([31.0, 12.0, 35.0]), label=1.0, probability=DenseVector([0.0046, 0.2861, 0.0027, 0.1235, 0.0156, 0.2705, 0.1218, 0.0006, 0.0034, 0.1224, 0.0035, 0.0009, 0.0444, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 45.0]), label=1.0, probability=DenseVector([0.008, 0.1543, 0.0513, 0.2145, 0.008, 0.3423, 0.0224, 0.0243, 0.0298, 0.0738, 0.005, 0.0146, 0.0482, 0.0035]))
Row(prediction=5.0, features=DenseVector([31.0, 18.0, 47.0]), label=1.0, probability=DenseVector([0.0087, 0.1556, 0.0525, 0.2531, 0.0077, 0.2894, 0.0191, 0.0296, 0.0353, 0.0731, 0.0051, 0.0158, 0.0515, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 19.0, 49.0]), label=1.0, probability=DenseVector([0.0107, 0.173, 0.0649, 0.3014, 0.0063, 0.2201, 0.0106, 0.0413, 0.0494, 0.0451, 0.0046, 0.0192, 0.0497, 0.0036]))
Row(prediction=5.0, features=DenseVector([31.0, 20.0, 47.0]), label=1.0, probability=DenseVector([0.0087, 0.1556, 0.0525, 0.2531, 0.0077, 0.2894, 0.0191, 0.0296, 0.0353, 0.0731, 0.0051, 0.0158, 0.0515, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.009, 0.1737, 0.0465, 0.2907, 0.0057, 0.2419, 0.0129, 0.0388, 0.0461, 0.061, 0.0035, 0.0168, 0.0512, 0.0021]))
Row(prediction=3.0, features=DenseVector([31.0, 20.0, 49.0]), label=1.0, probability=DenseVector([0.0107, 0.173, 0.0649, 0.3014, 0.0063, 0.2201, 0.0106, 0.0413, 0.0494, 0.0451, 0.0046, 0.0192, 0.0497, 0.0036]))
Row(prediction=5.0, features=DenseVector([31.0, 21.0, 44.0]), label=12.0, probability=DenseVector([0.008, 0.1543, 0.0513, 0.2145, 0.008, 0.3423, 0.0224, 0.0243, 0.0298, 0.0738, 0.005, 0.0146, 0.0482, 0.0035]))
Row(prediction=3.0, features=DenseVector([31.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0148, 0.186, 0.0828, 0.3471, 0.0101, 0.1004, 0.0141, 0.0492, 0.06, 0.045, 0.0071, 0.0242, 0.0543, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 22.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 25.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 25.0, 53.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 27.0, 51.0]), label=1.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 27.0, 53.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 27.0, 53.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0163, 0.1643, 0.0926, 0.345, 0.0111, 0.1014, 0.0148, 0.0525, 0.0633, 0.0443, 0.0077, 0.025, 0.0527, 0.009]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 52.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 52.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 53.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 52.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 52.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 53.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 51.0]), label=1.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 53.0]), label=12.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 54.0]), label=1.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0099, 0.1653, 0.0664, 0.3951, 0.0035, 0.0577, 0.011, 0.0733, 0.0935, 0.0338, 0.0014, 0.0312, 0.0536, 0.0043]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0286, 0.1218, 0.157, 0.2313, 0.0152, 0.1232, 0.015, 0.078, 0.0981, 0.049, 0.0104, 0.0284, 0.0341, 0.0099]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=8.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=2.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=1.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=1.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=1.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 55.0]), label=1.0, probability=DenseVector([0.0226, 0.091, 0.1782, 0.238, 0.011, 0.115, 0.0076, 0.095, 0.1355, 0.0435, 0.0052, 0.0295, 0.0219, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 56.0]), label=8.0, probability=DenseVector([0.0226, 0.091, 0.1782, 0.238, 0.011, 0.115, 0.0076, 0.095, 0.1355, 0.0435, 0.0052, 0.0295, 0.0219, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 50.0]), label=4.0, probability=DenseVector([0.0323, 0.1004, 0.1647, 0.2228, 0.0174, 0.1395, 0.0139, 0.0812, 0.1066, 0.0403, 0.0126, 0.0269, 0.0282, 0.0131]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0323, 0.1004, 0.1647, 0.2228, 0.0174, 0.1395, 0.0139, 0.0812, 0.1066, 0.0403, 0.0126, 0.0269, 0.0282, 0.0131]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0291, 0.0959, 0.1717, 0.2266, 0.0157, 0.1476, 0.0108, 0.0788, 0.1102, 0.0402, 0.0119, 0.0265, 0.0253, 0.0096]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0291, 0.0959, 0.1717, 0.2266, 0.0157, 0.1476, 0.0108, 0.0788, 0.1102, 0.0402, 0.0119, 0.0265, 0.0253, 0.0096]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 54.0]), label=2.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 54.0]), label=2.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 55.0]), label=1.0, probability=DenseVector([0.0247, 0.0844, 0.1911, 0.2303, 0.0117, 0.1236, 0.0076, 0.094, 0.1276, 0.0445, 0.0053, 0.029, 0.0206, 0.0056]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 56.0]), label=3.0, probability=DenseVector([0.0247, 0.0844, 0.1911, 0.2303, 0.0117, 0.1236, 0.0076, 0.094, 0.1276, 0.0445, 0.0053, 0.029, 0.0206, 0.0056]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 47.0]), label=4.0, probability=DenseVector([0.0376, 0.0945, 0.1671, 0.1762, 0.0263, 0.1274, 0.0324, 0.0696, 0.0945, 0.0774, 0.0201, 0.0242, 0.0314, 0.0213]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=10.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 54.0]), label=1.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 43.0]), label=10.0, probability=DenseVector([0.0397, 0.0914, 0.1534, 0.1639, 0.0292, 0.1314, 0.066, 0.0645, 0.0863, 0.0785, 0.0235, 0.0217, 0.0306, 0.0201]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 43.0]), label=4.0, probability=DenseVector([0.0397, 0.0914, 0.1534, 0.1639, 0.0292, 0.1314, 0.066, 0.0645, 0.0863, 0.0785, 0.0235, 0.0217, 0.0306, 0.0201]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=4.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=4.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 56.0]), label=3.0, probability=DenseVector([0.0247, 0.0844, 0.1911, 0.2303, 0.0117, 0.1236, 0.0076, 0.094, 0.1276, 0.0445, 0.0053, 0.029, 0.0206, 0.0056]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 45.0]), label=4.0, probability=DenseVector([0.0376, 0.0945, 0.1671, 0.1762, 0.0263, 0.1274, 0.0324, 0.0696, 0.0945, 0.0774, 0.0201, 0.0242, 0.0314, 0.0213]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 46.0]), label=0.0, probability=DenseVector([0.0376, 0.0945, 0.1671, 0.1762, 0.0263, 0.1274, 0.0324, 0.0696, 0.0945, 0.0774, 0.0201, 0.0242, 0.0314, 0.0213]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=12.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=0.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=0.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 53.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 54.0]), label=4.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 44.0]), label=12.0, probability=DenseVector([0.0444, 0.0666, 0.1833, 0.2141, 0.0356, 0.0661, 0.04, 0.0479, 0.0745, 0.085, 0.0278, 0.0264, 0.027, 0.0613]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0315, 0.0708, 0.1898, 0.2647, 0.0167, 0.1019, 0.0162, 0.0671, 0.0972, 0.0371, 0.0094, 0.0197, 0.0238, 0.0541]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 49.0]), label=4.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 54.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 57.0]), label=12.0, probability=DenseVector([0.0328, 0.0709, 0.1868, 0.2353, 0.0182, 0.1259, 0.0115, 0.0717, 0.1108, 0.0567, 0.0082, 0.0212, 0.0263, 0.0237]))
Row(prediction=6.0, features=DenseVector([31.0, 42.0, 39.0]), label=4.0, probability=DenseVector([0.086, 0.0582, 0.0169, 0.0145, 0.0561, 0.0073, 0.5233, 0.0106, 0.0158, 0.0818, 0.104, 0.0032, 0.022, 0.0005]))
Row(prediction=6.0, features=DenseVector([31.0, 42.0, 39.0]), label=1.0, probability=DenseVector([0.086, 0.0582, 0.0169, 0.0145, 0.0561, 0.0073, 0.5233, 0.0106, 0.0158, 0.0818, 0.104, 0.0032, 0.022, 0.0005]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 46.0]), label=4.0, probability=DenseVector([0.0355, 0.071, 0.2004, 0.2409, 0.0227, 0.0746, 0.0327, 0.0568, 0.0819, 0.0512, 0.0152, 0.0194, 0.027, 0.0708]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 46.0]), label=3.0, probability=DenseVector([0.0355, 0.071, 0.2004, 0.2409, 0.0227, 0.0746, 0.0327, 0.0568, 0.0819, 0.0512, 0.0152, 0.0194, 0.027, 0.0708]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 52.0]), label=4.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 48.0]), label=0.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 49.0]), label=12.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=12.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=0.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 53.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 46.0]), label=12.0, probability=DenseVector([0.0321, 0.0683, 0.2074, 0.2514, 0.0183, 0.0723, 0.0328, 0.0566, 0.0815, 0.0426, 0.0108, 0.0194, 0.0254, 0.0811]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0321, 0.0683, 0.2074, 0.2514, 0.0183, 0.0723, 0.0328, 0.0566, 0.0815, 0.0426, 0.0108, 0.0194, 0.0254, 0.0811]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0321, 0.0683, 0.2074, 0.2514, 0.0183, 0.0723, 0.0328, 0.0566, 0.0815, 0.0426, 0.0108, 0.0194, 0.0254, 0.0811]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 53.0]), label=0.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 53.0]), label=0.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 53.0]), label=0.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 53.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=2.0, features=DenseVector([31.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0294, 0.0632, 0.2376, 0.2342, 0.0186, 0.0622, 0.0407, 0.0535, 0.0806, 0.045, 0.0106, 0.0186, 0.0217, 0.0841]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=0.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 44.0]), label=4.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 44.0]), label=4.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=6.0, features=DenseVector([31.0, 48.0, 39.0]), label=4.0, probability=DenseVector([0.0781, 0.0516, 0.0475, 0.0496, 0.0341, 0.0001, 0.5385, 0.0142, 0.0605, 0.0644, 0.0259, 0.0106, 0.0242, 0.0008]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 42.0]), label=3.0, probability=DenseVector([0.0426, 0.0556, 0.2069, 0.1715, 0.0332, 0.0238, 0.1891, 0.0337, 0.0492, 0.0567, 0.0234, 0.0139, 0.0157, 0.0846]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=4.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 48.0]), label=1.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 49.0]), label=2.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=6.0, features=DenseVector([31.0, 51.0, 41.0]), label=3.0, probability=DenseVector([0.0477, 0.0352, 0.1184, 0.1188, 0.0271, 0.0036, 0.4177, 0.0244, 0.0899, 0.0517, 0.0099, 0.0172, 0.0137, 0.0248]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 43.0]), label=3.0, probability=DenseVector([0.0202, 0.0479, 0.2768, 0.2356, 0.0207, 0.018, 0.1101, 0.0314, 0.059, 0.0574, 0.0103, 0.0128, 0.0126, 0.0871]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 44.0]), label=3.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 44.0]), label=3.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 30.0]), label=4.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 33.0]), label=0.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=2.0, features=DenseVector([31.0, 53.0, 48.0]), label=2.0, probability=DenseVector([0.019, 0.0564, 0.2517, 0.2321, 0.0229, 0.0337, 0.0646, 0.0454, 0.0736, 0.0883, 0.0095, 0.0142, 0.015, 0.0734]))
Row(prediction=2.0, features=DenseVector([31.0, 53.0, 49.0]), label=4.0, probability=DenseVector([0.0195, 0.0581, 0.2516, 0.2319, 0.0224, 0.038, 0.063, 0.0468, 0.077, 0.0862, 0.0088, 0.0142, 0.0154, 0.0671]))
Row(prediction=2.0, features=DenseVector([31.0, 54.0, 44.0]), label=3.0, probability=DenseVector([0.0207, 0.0461, 0.2727, 0.2219, 0.0211, 0.0117, 0.123, 0.0317, 0.0582, 0.0652, 0.0081, 0.0149, 0.013, 0.0918]))
Row(prediction=3.0, features=DenseVector([32.0, 15.0, 52.0]), label=12.0, probability=DenseVector([0.0067, 0.1649, 0.0635, 0.2608, 0.0065, 0.2525, 0.0022, 0.0536, 0.0421, 0.0733, 0.0035, 0.0211, 0.0429, 0.0065]))
Row(prediction=5.0, features=DenseVector([32.0, 20.0, 48.0]), label=0.0, probability=DenseVector([0.0099, 0.1317, 0.0657, 0.1126, 0.0121, 0.4815, 0.0065, 0.0173, 0.0225, 0.0797, 0.0089, 0.0094, 0.0364, 0.0059]))
Row(prediction=5.0, features=DenseVector([32.0, 20.0, 49.0]), label=1.0, probability=DenseVector([0.0117, 0.1309, 0.084, 0.1233, 0.0127, 0.4597, 0.0042, 0.0197, 0.0258, 0.0638, 0.01, 0.0118, 0.0349, 0.0074]))
Row(prediction=5.0, features=DenseVector([32.0, 21.0, 49.0]), label=1.0, probability=DenseVector([0.0117, 0.1309, 0.084, 0.1233, 0.0127, 0.4597, 0.0042, 0.0197, 0.0258, 0.0638, 0.01, 0.0118, 0.0349, 0.0074]))
Row(prediction=5.0, features=DenseVector([32.0, 22.0, 49.0]), label=1.0, probability=DenseVector([0.0158, 0.144, 0.1019, 0.1689, 0.0165, 0.3401, 0.0077, 0.0276, 0.0363, 0.0637, 0.0125, 0.0168, 0.0395, 0.0087]))
Row(prediction=5.0, features=DenseVector([32.0, 24.0, 49.0]), label=12.0, probability=DenseVector([0.0158, 0.144, 0.1019, 0.1689, 0.0165, 0.3401, 0.0077, 0.0276, 0.0363, 0.0637, 0.0125, 0.0168, 0.0395, 0.0087]))
Row(prediction=5.0, features=DenseVector([32.0, 25.0, 51.0]), label=1.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=3.0, features=DenseVector([32.0, 25.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 25.0, 55.0]), label=1.0, probability=DenseVector([0.0068, 0.1677, 0.065, 0.2047, 0.0084, 0.2266, 0.0035, 0.0486, 0.0491, 0.1074, 0.0034, 0.0315, 0.0713, 0.006]))
Row(prediction=5.0, features=DenseVector([32.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=3.0, features=DenseVector([32.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 27.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 27.0, 57.0]), label=1.0, probability=DenseVector([0.0068, 0.1677, 0.065, 0.2047, 0.0084, 0.2266, 0.0035, 0.0486, 0.0491, 0.1074, 0.0034, 0.0315, 0.0713, 0.006]))
Row(prediction=5.0, features=DenseVector([32.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=5.0, features=DenseVector([32.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=3.0, features=DenseVector([32.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 52.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 52.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 52.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 52.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 52.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 53.0]), label=12.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 52.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 53.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 53.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 54.0]), label=2.0, probability=DenseVector([0.007, 0.168, 0.0628, 0.2878, 0.0077, 0.2341, 0.003, 0.0568, 0.046, 0.0483, 0.0034, 0.0233, 0.0456, 0.0062]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 54.0]), label=3.0, probability=DenseVector([0.007, 0.168, 0.0628, 0.2878, 0.0077, 0.2341, 0.003, 0.0568, 0.046, 0.0483, 0.0034, 0.0233, 0.0456, 0.0062]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=8.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 46.0]), label=3.0, probability=DenseVector([0.0235, 0.1167, 0.1074, 0.1518, 0.0268, 0.2814, 0.0226, 0.0266, 0.039, 0.0949, 0.0209, 0.0147, 0.0396, 0.034]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 54.0]), label=8.0, probability=DenseVector([0.0147, 0.0946, 0.0957, 0.172, 0.0154, 0.4031, 0.003, 0.0429, 0.0495, 0.0359, 0.0076, 0.0184, 0.034, 0.0134]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 47.0]), label=3.0, probability=DenseVector([0.0311, 0.0809, 0.1193, 0.1524, 0.0389, 0.2832, 0.0177, 0.0263, 0.0447, 0.0924, 0.0301, 0.0148, 0.0296, 0.0385]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 47.0]), label=3.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 49.0]), label=1.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 54.0]), label=4.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=6.0, features=DenseVector([32.0, 37.0, 41.0]), label=0.0, probability=DenseVector([0.0717, 0.0636, 0.0426, 0.0594, 0.0568, 0.0639, 0.3843, 0.0169, 0.0302, 0.0907, 0.0798, 0.0065, 0.0269, 0.0067]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 48.0]), label=4.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 54.0]), label=12.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 55.0]), label=2.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 44.0]), label=2.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 46.0]), label=4.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 55.0]), label=4.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 42.0]), label=10.0, probability=DenseVector([0.0584, 0.0694, 0.1256, 0.1894, 0.0509, 0.0533, 0.1115, 0.0324, 0.0449, 0.0915, 0.0562, 0.0186, 0.0224, 0.0755]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 42.0]), label=4.0, probability=DenseVector([0.0584, 0.0694, 0.1256, 0.1894, 0.0509, 0.0533, 0.1115, 0.0324, 0.0449, 0.0915, 0.0562, 0.0186, 0.0224, 0.0755]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 47.0]), label=4.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=10.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 47.0]), label=4.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 46.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 43.0]), label=4.0, probability=DenseVector([0.0459, 0.0504, 0.1549, 0.2387, 0.039, 0.0597, 0.069, 0.0324, 0.0482, 0.0904, 0.0322, 0.0207, 0.0223, 0.096]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=0.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=0.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 55.0]), label=3.0, probability=DenseVector([0.0313, 0.0629, 0.1617, 0.2397, 0.0221, 0.1903, 0.0097, 0.053, 0.0855, 0.0498, 0.0076, 0.016, 0.0286, 0.0417]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 45.0]), label=4.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 47.0]), label=0.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=0.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 51.0]), label=12.0, probability=DenseVector([0.0267, 0.0536, 0.1899, 0.2836, 0.016, 0.1251, 0.0161, 0.0522, 0.0753, 0.0323, 0.0066, 0.0129, 0.0219, 0.088]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 44.0]), label=4.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 46.0]), label=10.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 51.0]), label=10.0, probability=DenseVector([0.0186, 0.0433, 0.203, 0.3009, 0.0144, 0.0902, 0.0241, 0.0394, 0.0587, 0.0373, 0.0051, 0.0124, 0.0187, 0.1338]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 44.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=0.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 51.0]), label=1.0, probability=DenseVector([0.0186, 0.0433, 0.203, 0.3009, 0.0144, 0.0902, 0.0241, 0.0394, 0.0587, 0.0373, 0.0051, 0.0124, 0.0187, 0.1338]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=6.0, features=DenseVector([32.0, 49.0, 35.0]), label=4.0, probability=DenseVector([0.0748, 0.0494, 0.0291, 0.0328, 0.0313, 0.0, 0.6221, 0.0151, 0.0413, 0.0511, 0.0249, 0.0073, 0.0203, 0.0005]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 42.0]), label=2.0, probability=DenseVector([0.0335, 0.0408, 0.1641, 0.2723, 0.0266, 0.0296, 0.1407, 0.0247, 0.0431, 0.0533, 0.0202, 0.0121, 0.0154, 0.1237]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 48.0]), label=12.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0184, 0.0358, 0.1956, 0.3187, 0.0171, 0.0397, 0.0624, 0.0274, 0.0471, 0.0479, 0.0106, 0.0118, 0.0148, 0.1526]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 41.0]), label=3.0, probability=DenseVector([0.0364, 0.0284, 0.1229, 0.1828, 0.0175, 0.0046, 0.3588, 0.0133, 0.111, 0.0552, 0.005, 0.0148, 0.0107, 0.0384]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 41.0]), label=3.0, probability=DenseVector([0.0364, 0.0284, 0.1229, 0.1828, 0.0175, 0.0046, 0.3588, 0.0133, 0.111, 0.0552, 0.005, 0.0148, 0.0107, 0.0384]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 45.0]), label=1.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 46.0]), label=3.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 47.0]), label=3.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 49.0]), label=4.0, probability=DenseVector([0.0158, 0.04, 0.2062, 0.3361, 0.0172, 0.0443, 0.0422, 0.0317, 0.0586, 0.0484, 0.0065, 0.0109, 0.0165, 0.1256]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 40.0]), label=3.0, probability=DenseVector([0.0494, 0.0292, 0.0915, 0.1158, 0.0204, 0.0001, 0.4594, 0.0106, 0.1175, 0.0594, 0.0088, 0.0143, 0.0187, 0.0052]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 44.0]), label=2.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 45.0]), label=3.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 53.0, 42.0]), label=3.0, probability=DenseVector([0.0142, 0.0325, 0.1878, 0.3428, 0.0191, 0.025, 0.0771, 0.0196, 0.0492, 0.0666, 0.0074, 0.0124, 0.0131, 0.1332]))
Row(prediction=3.0, features=DenseVector([32.0, 53.0, 46.0]), label=12.0, probability=DenseVector([0.0124, 0.0355, 0.1989, 0.3387, 0.0194, 0.0261, 0.0509, 0.0209, 0.0446, 0.0746, 0.0076, 0.0105, 0.0146, 0.1452]))
Row(prediction=3.0, features=DenseVector([32.0, 53.0, 48.0]), label=3.0, probability=DenseVector([0.0151, 0.0429, 0.2003, 0.3203, 0.0199, 0.0401, 0.0445, 0.0302, 0.0512, 0.0713, 0.0074, 0.0108, 0.0172, 0.1288]))
Row(prediction=3.0, features=DenseVector([32.0, 53.0, 48.0]), label=2.0, probability=DenseVector([0.0151, 0.0429, 0.2003, 0.3203, 0.0199, 0.0401, 0.0445, 0.0302, 0.0512, 0.0713, 0.0074, 0.0108, 0.0172, 0.1288]))
Row(prediction=3.0, features=DenseVector([32.0, 53.0, 48.0]), label=3.0, probability=DenseVector([0.0151, 0.0429, 0.2003, 0.3203, 0.0199, 0.0401, 0.0445, 0.0302, 0.0512, 0.0713, 0.0074, 0.0108, 0.0172, 0.1288]))
Row(prediction=3.0, features=DenseVector([32.0, 56.0, 49.0]), label=1.0, probability=DenseVector([0.0173, 0.0463, 0.1649, 0.2489, 0.0283, 0.0448, 0.0652, 0.0322, 0.0533, 0.1516, 0.0066, 0.0097, 0.0221, 0.1088]))
Row(prediction=9.0, features=DenseVector([32.0, 59.0, 55.0]), label=1.0, probability=DenseVector([0.0168, 0.0502, 0.1037, 0.1791, 0.0385, 0.0549, 0.0911, 0.0264, 0.0577, 0.2744, 0.0061, 0.011, 0.0357, 0.0544]))
Row(prediction=9.0, features=DenseVector([33.0, 6.0, 28.0]), label=1.0, probability=DenseVector([0.007, 0.2362, 0.0037, 0.0721, 0.0219, 0.1952, 0.1064, 0.0012, 0.0041, 0.2934, 0.0045, 0.0082, 0.0461, 0.0]))
Row(prediction=9.0, features=DenseVector([33.0, 10.0, 33.0]), label=1.0, probability=DenseVector([0.0105, 0.2239, 0.0044, 0.0727, 0.0193, 0.1966, 0.1149, 0.0015, 0.005, 0.2916, 0.0065, 0.0085, 0.0445, 0.0001]))
Row(prediction=5.0, features=DenseVector([33.0, 19.0, 47.0]), label=12.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 21.0, 42.0]), label=12.0, probability=DenseVector([0.0069, 0.0964, 0.0531, 0.0528, 0.0097, 0.6042, 0.0163, 0.0083, 0.0129, 0.0891, 0.0068, 0.0063, 0.0337, 0.0034]))
Row(prediction=5.0, features=DenseVector([33.0, 24.0, 46.0]), label=1.0, probability=DenseVector([0.0207, 0.1227, 0.1016, 0.085, 0.0236, 0.3898, 0.0163, 0.0205, 0.0324, 0.1057, 0.0181, 0.0149, 0.0408, 0.0077]))
Row(prediction=5.0, features=DenseVector([33.0, 25.0, 50.0]), label=3.0, probability=DenseVector([0.0171, 0.1353, 0.1323, 0.1198, 0.0175, 0.3687, 0.0057, 0.0256, 0.0355, 0.069, 0.0127, 0.0196, 0.0322, 0.0089]))
Row(prediction=5.0, features=DenseVector([33.0, 26.0, 52.0]), label=12.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 27.0, 50.0]), label=1.0, probability=DenseVector([0.0212, 0.1252, 0.1458, 0.16, 0.0202, 0.2869, 0.0085, 0.0346, 0.0443, 0.0603, 0.0147, 0.0211, 0.0326, 0.0245]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 44.0]), label=1.0, probability=DenseVector([0.0239, 0.1145, 0.1205, 0.1299, 0.0272, 0.2925, 0.0216, 0.0245, 0.0376, 0.0989, 0.021, 0.0163, 0.0374, 0.0341]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=7.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=7.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 54.0]), label=1.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 53.0]), label=7.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 54.0]), label=3.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 54.0]), label=3.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 55.0]), label=1.0, probability=DenseVector([0.0077, 0.1759, 0.0886, 0.1674, 0.0093, 0.2485, 0.0023, 0.0461, 0.0506, 0.0961, 0.0037, 0.0359, 0.0618, 0.0062]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 55.0]), label=1.0, probability=DenseVector([0.0077, 0.1759, 0.0886, 0.1674, 0.0093, 0.2485, 0.0023, 0.0461, 0.0506, 0.0961, 0.0037, 0.0359, 0.0618, 0.0062]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 54.0]), label=3.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=6.0, features=DenseVector([33.0, 33.0, 30.0]), label=12.0, probability=DenseVector([0.0807, 0.0557, 0.0106, 0.0188, 0.0555, 0.0204, 0.4757, 0.0087, 0.0124, 0.1295, 0.1069, 0.0026, 0.0212, 0.0015]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0155, 0.0961, 0.1164, 0.1305, 0.0162, 0.4252, 0.0012, 0.0391, 0.0472, 0.042, 0.0079, 0.0199, 0.0293, 0.0135]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 54.0]), label=2.0, probability=DenseVector([0.0155, 0.0961, 0.1164, 0.1305, 0.0162, 0.4252, 0.0012, 0.0391, 0.0472, 0.042, 0.0079, 0.0199, 0.0293, 0.0135]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 55.0]), label=12.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 55.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=6.0, features=DenseVector([33.0, 35.0, 41.0]), label=4.0, probability=DenseVector([0.0674, 0.0753, 0.0453, 0.0674, 0.0573, 0.052, 0.3284, 0.0153, 0.0297, 0.143, 0.0756, 0.0077, 0.0287, 0.0068]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0294, 0.0911, 0.1326, 0.1724, 0.0326, 0.2875, 0.0102, 0.0359, 0.0509, 0.0565, 0.0243, 0.0173, 0.0306, 0.0287]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 45.0]), label=0.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 49.0]), label=0.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 50.0]), label=4.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 55.0]), label=4.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 56.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 55.0]), label=4.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 55.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 56.0]), label=8.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.0466, 0.0678, 0.1023, 0.1501, 0.0509, 0.2027, 0.0841, 0.025, 0.0434, 0.0964, 0.0523, 0.0131, 0.0268, 0.0384]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 49.0]), label=0.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 50.0]), label=4.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 55.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 46.0]), label=8.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=4.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=10.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=4.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 54.0]), label=3.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 56.0]), label=3.0, probability=DenseVector([0.03, 0.0655, 0.1487, 0.2229, 0.0264, 0.1782, 0.0102, 0.0486, 0.086, 0.0821, 0.0091, 0.0184, 0.0349, 0.0392]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 46.0]), label=10.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 46.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 47.0]), label=10.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=0.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 54.0]), label=3.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 54.0]), label=0.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 46.0]), label=2.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 46.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 47.0]), label=0.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=6.0, features=DenseVector([33.0, 43.0, 41.0]), label=4.0, probability=DenseVector([0.0858, 0.0814, 0.0466, 0.0673, 0.0594, 0.0136, 0.3595, 0.0143, 0.0257, 0.121, 0.0783, 0.0112, 0.024, 0.012]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 44.0]), label=4.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 45.0]), label=3.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=0.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=0.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 43.0]), label=2.0, probability=DenseVector([0.0416, 0.0471, 0.1621, 0.2608, 0.0346, 0.0575, 0.0543, 0.0313, 0.0482, 0.0869, 0.0263, 0.021, 0.0206, 0.1076]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=0.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 51.0]), label=12.0, probability=DenseVector([0.0184, 0.0434, 0.1894, 0.3098, 0.0146, 0.0908, 0.0237, 0.0385, 0.0573, 0.0384, 0.0052, 0.0126, 0.0191, 0.1388]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=4.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=6.0, features=DenseVector([33.0, 50.0, 41.0]), label=3.0, probability=DenseVector([0.0569, 0.0475, 0.0838, 0.1442, 0.0291, 0.0056, 0.4019, 0.0165, 0.0596, 0.0646, 0.0189, 0.0107, 0.0153, 0.0453]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 46.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 47.0]), label=2.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 47.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 47.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([33.0, 52.0, 41.0]), label=3.0, probability=DenseVector([0.0351, 0.0284, 0.1194, 0.1954, 0.0166, 0.0055, 0.3438, 0.0129, 0.1102, 0.0548, 0.005, 0.0137, 0.011, 0.0483]))
Row(prediction=3.0, features=DenseVector([33.0, 52.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 52.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([33.0, 53.0, 40.0]), label=3.0, probability=DenseVector([0.0479, 0.0321, 0.0731, 0.1007, 0.0228, 0.0, 0.4903, 0.0095, 0.0979, 0.0782, 0.0078, 0.017, 0.0182, 0.0047]))
Row(prediction=6.0, features=DenseVector([33.0, 54.0, 38.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([33.0, 54.0, 41.0]), label=3.0, probability=DenseVector([0.0354, 0.0344, 0.0923, 0.1711, 0.0213, 0.0054, 0.3927, 0.0129, 0.0776, 0.076, 0.0045, 0.0162, 0.0117, 0.0485]))
Row(prediction=3.0, features=DenseVector([33.0, 54.0, 44.0]), label=3.0, probability=DenseVector([0.0139, 0.034, 0.1733, 0.3455, 0.0189, 0.0265, 0.0763, 0.0196, 0.0433, 0.0646, 0.0067, 0.0114, 0.0147, 0.1514]))
Row(prediction=9.0, features=DenseVector([34.0, 11.0, 36.0]), label=1.0, probability=DenseVector([0.0161, 0.1576, 0.0081, 0.0377, 0.0187, 0.0386, 0.0719, 0.0019, 0.0052, 0.5717, 0.0071, 0.02, 0.0452, 0.0001]))
Row(prediction=9.0, features=DenseVector([34.0, 13.0, 37.0]), label=1.0, probability=DenseVector([0.0212, 0.1548, 0.0104, 0.0388, 0.0233, 0.0399, 0.0793, 0.0018, 0.0068, 0.5372, 0.0116, 0.0305, 0.0445, 0.0001]))
Row(prediction=5.0, features=DenseVector([34.0, 18.0, 46.0]), label=1.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([34.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 24.0, 55.0]), label=1.0, probability=DenseVector([0.0087, 0.2429, 0.1006, 0.1234, 0.0134, 0.2717, 0.0013, 0.034, 0.04, 0.0866, 0.0037, 0.0252, 0.0419, 0.0064]))
Row(prediction=5.0, features=DenseVector([34.0, 25.0, 46.0]), label=12.0, probability=DenseVector([0.0207, 0.1227, 0.1016, 0.085, 0.0236, 0.3898, 0.0163, 0.0205, 0.0324, 0.1057, 0.0181, 0.0149, 0.0408, 0.0077]))
Row(prediction=5.0, features=DenseVector([34.0, 25.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 26.0, 48.0]), label=1.0, probability=DenseVector([0.0149, 0.1281, 0.1097, 0.1018, 0.0169, 0.4111, 0.0082, 0.0214, 0.0308, 0.0879, 0.0117, 0.0161, 0.0341, 0.0072]))
Row(prediction=5.0, features=DenseVector([34.0, 26.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 26.0, 61.0]), label=3.0, probability=DenseVector([0.0087, 0.2429, 0.1006, 0.1234, 0.0134, 0.2717, 0.0013, 0.034, 0.04, 0.0866, 0.0037, 0.0252, 0.0419, 0.0064]))
Row(prediction=9.0, features=DenseVector([34.0, 28.0, 40.0]), label=8.0, probability=DenseVector([0.0323, 0.0956, 0.0206, 0.0232, 0.0319, 0.0694, 0.1507, 0.0039, 0.0137, 0.4684, 0.0202, 0.0328, 0.0354, 0.0018]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 45.0]), label=8.0, probability=DenseVector([0.0239, 0.1145, 0.1205, 0.1299, 0.0272, 0.2925, 0.0216, 0.0245, 0.0376, 0.0989, 0.021, 0.0163, 0.0374, 0.0341]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 48.0]), label=1.0, probability=DenseVector([0.02, 0.1144, 0.1316, 0.1555, 0.0208, 0.2969, 0.0131, 0.0318, 0.0413, 0.0771, 0.0146, 0.0181, 0.0334, 0.0315]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 52.0]), label=12.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 52.0]), label=12.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 54.0]), label=1.0, probability=DenseVector([0.0088, 0.2537, 0.1034, 0.1282, 0.0101, 0.2799, 0.0013, 0.0331, 0.039, 0.0694, 0.0037, 0.0249, 0.038, 0.0065]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 48.0]), label=1.0, probability=DenseVector([0.02, 0.1144, 0.1316, 0.1555, 0.0208, 0.2969, 0.0131, 0.0318, 0.0413, 0.0771, 0.0146, 0.0181, 0.0334, 0.0315]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 54.0]), label=3.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 54.0]), label=1.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 55.0]), label=12.0, probability=DenseVector([0.0109, 0.1945, 0.1253, 0.1352, 0.0146, 0.2831, 0.0013, 0.0372, 0.0464, 0.0802, 0.0038, 0.025, 0.0355, 0.007]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 53.0]), label=2.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 54.0]), label=3.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 54.0]), label=1.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 48.0]), label=3.0, probability=DenseVector([0.02, 0.1144, 0.1316, 0.1555, 0.0208, 0.2969, 0.0131, 0.0318, 0.0413, 0.0771, 0.0146, 0.0181, 0.0334, 0.0315]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 54.0]), label=2.0, probability=DenseVector([0.0155, 0.0961, 0.1164, 0.1305, 0.0162, 0.4252, 0.0012, 0.0391, 0.0472, 0.042, 0.0079, 0.0199, 0.0293, 0.0135]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 54.0]), label=1.0, probability=DenseVector([0.0155, 0.0961, 0.1164, 0.1305, 0.0162, 0.4252, 0.0012, 0.0391, 0.0472, 0.042, 0.0079, 0.0199, 0.0293, 0.0135]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 55.0]), label=2.0, probability=DenseVector([0.0145, 0.0979, 0.1156, 0.1284, 0.0181, 0.415, 0.0014, 0.0383, 0.0491, 0.0491, 0.0081, 0.0209, 0.0307, 0.013]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 55.0]), label=3.0, probability=DenseVector([0.0145, 0.0979, 0.1156, 0.1284, 0.0181, 0.415, 0.0014, 0.0383, 0.0491, 0.0491, 0.0081, 0.0209, 0.0307, 0.013]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0187, 0.0977, 0.1211, 0.1365, 0.0192, 0.4017, 0.0057, 0.0341, 0.0434, 0.046, 0.0148, 0.0172, 0.0305, 0.0134]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 46.0]), label=3.0, probability=DenseVector([0.0311, 0.0809, 0.1193, 0.1524, 0.0389, 0.2832, 0.0177, 0.0263, 0.0447, 0.0924, 0.0301, 0.0148, 0.0296, 0.0385]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0294, 0.0911, 0.1326, 0.1724, 0.0326, 0.2875, 0.0102, 0.0359, 0.0509, 0.0565, 0.0243, 0.0173, 0.0306, 0.0287]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 51.0]), label=1.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 54.0]), label=12.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 46.0]), label=0.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 49.0]), label=1.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 51.0]), label=12.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 42.0]), label=4.0, probability=DenseVector([0.0469, 0.0679, 0.1015, 0.1507, 0.0499, 0.2029, 0.0714, 0.0244, 0.0434, 0.1137, 0.0488, 0.0134, 0.0265, 0.0384]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 42.0]), label=4.0, probability=DenseVector([0.0469, 0.0679, 0.1015, 0.1507, 0.0499, 0.2029, 0.0714, 0.0244, 0.0434, 0.1137, 0.0488, 0.0134, 0.0265, 0.0384]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 51.0]), label=0.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 51.0]), label=0.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 45.0]), label=3.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 49.0]), label=0.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 49.0]), label=4.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=4.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 53.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 49.0]), label=8.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 50.0]), label=1.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 60.0]), label=1.0, probability=DenseVector([0.03, 0.0655, 0.1487, 0.2229, 0.0264, 0.1782, 0.0102, 0.0486, 0.086, 0.0821, 0.0091, 0.0184, 0.0349, 0.0392]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 47.0]), label=4.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 48.0]), label=10.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=4.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 54.0]), label=3.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 47.0]), label=0.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=0.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 53.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 42.0]), label=10.0, probability=DenseVector([0.049, 0.0547, 0.1449, 0.232, 0.0392, 0.0375, 0.1114, 0.0246, 0.0395, 0.0961, 0.0289, 0.0202, 0.0194, 0.1027]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 50.0]), label=12.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 51.0]), label=3.0, probability=DenseVector([0.0267, 0.0536, 0.1899, 0.2836, 0.016, 0.1251, 0.0161, 0.0522, 0.0753, 0.0323, 0.0066, 0.0129, 0.0219, 0.088]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 53.0]), label=1.0, probability=DenseVector([0.0233, 0.0517, 0.1651, 0.2517, 0.0176, 0.1954, 0.0147, 0.045, 0.0713, 0.0419, 0.0061, 0.0159, 0.0239, 0.0765]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 43.0]), label=3.0, probability=DenseVector([0.0182, 0.036, 0.1822, 0.3279, 0.0182, 0.0421, 0.0452, 0.0262, 0.0456, 0.0551, 0.01, 0.0123, 0.0154, 0.1657]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 44.0]), label=4.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 51.0]), label=3.0, probability=DenseVector([0.0184, 0.0434, 0.1894, 0.3098, 0.0146, 0.0908, 0.0237, 0.0385, 0.0573, 0.0384, 0.0052, 0.0126, 0.0191, 0.1388]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 51.0]), label=1.0, probability=DenseVector([0.0184, 0.0434, 0.1894, 0.3098, 0.0146, 0.0908, 0.0237, 0.0385, 0.0573, 0.0384, 0.0052, 0.0126, 0.0191, 0.1388]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 43.0]), label=4.0, probability=DenseVector([0.0182, 0.036, 0.1822, 0.3279, 0.0182, 0.0421, 0.0452, 0.0262, 0.0456, 0.0551, 0.01, 0.0123, 0.0154, 0.1657]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=6.0, features=DenseVector([34.0, 49.0, 39.0]), label=1.0, probability=DenseVector([0.0683, 0.0556, 0.0517, 0.0684, 0.0293, 0.0003, 0.5205, 0.0118, 0.0648, 0.0741, 0.0166, 0.012, 0.024, 0.0025]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=6.0, features=DenseVector([34.0, 50.0, 39.0]), label=3.0, probability=DenseVector([0.0683, 0.0556, 0.0517, 0.0684, 0.0293, 0.0003, 0.5205, 0.0118, 0.0648, 0.0741, 0.0166, 0.012, 0.024, 0.0025]))
Row(prediction=6.0, features=DenseVector([34.0, 50.0, 41.0]), label=3.0, probability=DenseVector([0.0533, 0.0557, 0.0852, 0.1492, 0.0263, 0.0057, 0.3942, 0.0153, 0.06, 0.0693, 0.0131, 0.0115, 0.0156, 0.0457]))
Row(prediction=6.0, features=DenseVector([34.0, 50.0, 41.0]), label=1.0, probability=DenseVector([0.0533, 0.0557, 0.0852, 0.1492, 0.0263, 0.0057, 0.3942, 0.0153, 0.06, 0.0693, 0.0131, 0.0115, 0.0156, 0.0457]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=4.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 47.0]), label=2.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0364, 0.1824, 0.3651, 0.017, 0.0406, 0.0362, 0.0279, 0.0543, 0.0509, 0.0061, 0.011, 0.0163, 0.1416]))
Row(prediction=6.0, features=DenseVector([34.0, 52.0, 41.0]), label=3.0, probability=DenseVector([0.0351, 0.0284, 0.1194, 0.1954, 0.0166, 0.0055, 0.3438, 0.0129, 0.1102, 0.0548, 0.005, 0.0137, 0.011, 0.0483]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 46.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 53.0, 43.0]), label=3.0, probability=DenseVector([0.012, 0.0304, 0.1739, 0.3753, 0.0172, 0.0258, 0.055, 0.0178, 0.0487, 0.0655, 0.0063, 0.0111, 0.0131, 0.1478]))
Row(prediction=6.0, features=DenseVector([34.0, 54.0, 39.0]), label=3.0, probability=DenseVector([0.0608, 0.0367, 0.042, 0.0506, 0.0221, 0.0, 0.5965, 0.0115, 0.0656, 0.0592, 0.0089, 0.0114, 0.0347, 0.0001]))
Row(prediction=3.0, features=DenseVector([34.0, 54.0, 43.0]), label=3.0, probability=DenseVector([0.014, 0.0334, 0.1709, 0.3509, 0.0189, 0.0258, 0.0786, 0.0188, 0.0481, 0.0657, 0.0067, 0.0112, 0.014, 0.1431]))
Row(prediction=3.0, features=DenseVector([34.0, 54.0, 44.0]), label=3.0, probability=DenseVector([0.0139, 0.034, 0.1733, 0.3455, 0.0189, 0.0265, 0.0763, 0.0196, 0.0433, 0.0646, 0.0067, 0.0114, 0.0147, 0.1514]))
Row(prediction=3.0, features=DenseVector([34.0, 56.0, 46.0]), label=3.0, probability=DenseVector([0.0165, 0.0406, 0.1536, 0.2783, 0.0242, 0.0266, 0.1338, 0.0198, 0.0401, 0.0946, 0.0073, 0.0102, 0.0172, 0.1372]))
Row(prediction=9.0, features=DenseVector([35.0, 11.0, 34.0]), label=1.0, probability=DenseVector([0.0175, 0.1661, 0.0083, 0.0241, 0.0191, 0.0327, 0.0815, 0.002, 0.0051, 0.5731, 0.0072, 0.0198, 0.0436, 0.0001]))
Row(prediction=5.0, features=DenseVector([35.0, 17.0, 51.0]), label=1.0, probability=DenseVector([0.0136, 0.112, 0.1057, 0.1118, 0.0136, 0.4317, 0.003, 0.0262, 0.0324, 0.0816, 0.0104, 0.016, 0.0319, 0.01]))
Row(prediction=5.0, features=DenseVector([35.0, 20.0, 52.0]), label=1.0, probability=DenseVector([0.0075, 0.1932, 0.0865, 0.1133, 0.0075, 0.2893, 0.0016, 0.0294, 0.0322, 0.179, 0.0036, 0.0177, 0.0324, 0.0068]))
Row(prediction=9.0, features=DenseVector([35.0, 21.0, 22.0]), label=1.0, probability=DenseVector([0.0121, 0.1803, 0.0071, 0.0231, 0.0203, 0.0308, 0.0658, 0.0017, 0.0038, 0.586, 0.0043, 0.0191, 0.0455, 0.0]))
Row(prediction=5.0, features=DenseVector([35.0, 24.0, 47.0]), label=1.0, probability=DenseVector([0.0207, 0.1227, 0.1016, 0.085, 0.0236, 0.3898, 0.0163, 0.0205, 0.0324, 0.1057, 0.0181, 0.0149, 0.0408, 0.0077]))
Row(prediction=5.0, features=DenseVector([35.0, 24.0, 48.0]), label=1.0, probability=DenseVector([0.0149, 0.1281, 0.1097, 0.1018, 0.0169, 0.4111, 0.0082, 0.0214, 0.0308, 0.0879, 0.0117, 0.0161, 0.0341, 0.0072]))
Row(prediction=5.0, features=DenseVector([35.0, 25.0, 50.0]), label=1.0, probability=DenseVector([0.0171, 0.1353, 0.1323, 0.1198, 0.0175, 0.3687, 0.0057, 0.0256, 0.0355, 0.069, 0.0127, 0.0196, 0.0322, 0.0089]))
Row(prediction=5.0, features=DenseVector([35.0, 25.0, 53.0]), label=3.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 26.0, 50.0]), label=12.0, probability=DenseVector([0.0171, 0.1353, 0.1323, 0.1198, 0.0175, 0.3687, 0.0057, 0.0256, 0.0355, 0.069, 0.0127, 0.0196, 0.0322, 0.0089]))
Row(prediction=5.0, features=DenseVector([35.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([35.0, 26.0, 52.0]), label=4.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 27.0, 47.0]), label=3.0, probability=DenseVector([0.0239, 0.1145, 0.1205, 0.1299, 0.0272, 0.2925, 0.0216, 0.0245, 0.0376, 0.0989, 0.021, 0.0163, 0.0374, 0.0341]))
Row(prediction=5.0, features=DenseVector([35.0, 28.0, 54.0]), label=1.0, probability=DenseVector([0.0088, 0.2537, 0.1034, 0.1282, 0.0101, 0.2799, 0.0013, 0.0331, 0.039, 0.0694, 0.0037, 0.0249, 0.038, 0.0065]))
Row(prediction=5.0, features=DenseVector([35.0, 28.0, 55.0]), label=3.0, probability=DenseVector([0.0087, 0.2429, 0.1006, 0.1234, 0.0134, 0.2717, 0.0013, 0.034, 0.04, 0.0866, 0.0037, 0.0252, 0.0419, 0.0064]))
Row(prediction=5.0, features=DenseVector([35.0, 29.0, 52.0]), label=4.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 29.0, 54.0]), label=1.0, probability=DenseVector([0.0088, 0.2537, 0.1034, 0.1282, 0.0101, 0.2799, 0.0013, 0.0331, 0.039, 0.0694, 0.0037, 0.0249, 0.038, 0.0065]))
Row(prediction=5.0, features=DenseVector([35.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 30.0, 55.0]), label=1.0, probability=DenseVector([0.0109, 0.1945, 0.1253, 0.1352, 0.0146, 0.2831, 0.0013, 0.0372, 0.0464, 0.0802, 0.0038, 0.025, 0.0355, 0.007]))
Row(prediction=5.0, features=DenseVector([35.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([35.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 31.0, 54.0]), label=1.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 54.0]), label=2.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 54.0]), label=1.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 54.0]), label=1.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 54.0]), label=1.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 43.0]), label=1.0, probability=DenseVector([0.0258, 0.112, 0.1172, 0.138, 0.0278, 0.2727, 0.0331, 0.0237, 0.0373, 0.1032, 0.0214, 0.0162, 0.0367, 0.0347]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 48.0]), label=3.0, probability=DenseVector([0.02, 0.1144, 0.1316, 0.1555, 0.0208, 0.2969, 0.0131, 0.0318, 0.0413, 0.0771, 0.0146, 0.0181, 0.0334, 0.0315]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0155, 0.0961, 0.1164, 0.1305, 0.0162, 0.4252, 0.0012, 0.0391, 0.0472, 0.042, 0.0079, 0.0199, 0.0293, 0.0135]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 54.0]), label=1.0, probability=DenseVector([0.0155, 0.0961, 0.1164, 0.1305, 0.0162, 0.4252, 0.0012, 0.0391, 0.0472, 0.042, 0.0079, 0.0199, 0.0293, 0.0135]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 54.0]), label=1.0, probability=DenseVector([0.0155, 0.0961, 0.1164, 0.1305, 0.0162, 0.4252, 0.0012, 0.0391, 0.0472, 0.042, 0.0079, 0.0199, 0.0293, 0.0135]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0987, 0.1339, 0.1695, 0.0315, 0.2844, 0.0107, 0.0348, 0.0475, 0.0608, 0.0233, 0.0183, 0.0319, 0.027]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 51.0]), label=10.0, probability=DenseVector([0.0187, 0.0977, 0.1211, 0.1365, 0.0192, 0.4017, 0.0057, 0.0341, 0.0434, 0.046, 0.0148, 0.0172, 0.0305, 0.0134]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0187, 0.0977, 0.1211, 0.1365, 0.0192, 0.4017, 0.0057, 0.0341, 0.0434, 0.046, 0.0148, 0.0172, 0.0305, 0.0134]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 55.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 56.0]), label=1.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 58.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 49.0]), label=1.0, probability=DenseVector([0.0294, 0.0911, 0.1326, 0.1724, 0.0326, 0.2875, 0.0102, 0.0359, 0.0509, 0.0565, 0.0243, 0.0173, 0.0306, 0.0287]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 51.0]), label=10.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 51.0]), label=4.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 55.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 53.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 48.0]), label=3.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 51.0]), label=4.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 52.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 54.0]), label=4.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 55.0]), label=1.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 46.0]), label=4.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 47.0]), label=1.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 50.0]), label=10.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 49.0]), label=1.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 50.0]), label=4.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=4.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=4.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=4.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 53.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 53.0]), label=4.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 45.0]), label=10.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=4.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=0.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=4.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=4.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 53.0]), label=4.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 45.0]), label=3.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 53.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 45.0]), label=3.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=4.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 48.0]), label=1.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 54.0]), label=3.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 46.0]), label=1.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=4.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=1.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 51.0]), label=1.0, probability=DenseVector([0.0267, 0.0536, 0.1899, 0.2836, 0.016, 0.1251, 0.0161, 0.0522, 0.0753, 0.0323, 0.0066, 0.0129, 0.0219, 0.088]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 52.0]), label=4.0, probability=DenseVector([0.0224, 0.0543, 0.1587, 0.2479, 0.0168, 0.1893, 0.0175, 0.0437, 0.0737, 0.0479, 0.0065, 0.0185, 0.027, 0.0757]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.0182, 0.036, 0.1822, 0.3279, 0.0182, 0.0421, 0.0452, 0.0262, 0.0456, 0.0551, 0.01, 0.0123, 0.0154, 0.1657]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=6.0, features=DenseVector([35.0, 50.0, 41.0]), label=3.0, probability=DenseVector([0.0533, 0.0557, 0.0852, 0.1492, 0.0263, 0.0057, 0.3942, 0.0153, 0.06, 0.0693, 0.0131, 0.0115, 0.0156, 0.0457]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=6.0, features=DenseVector([35.0, 51.0, 40.0]), label=3.0, probability=DenseVector([0.05, 0.0304, 0.0987, 0.1052, 0.0206, 0.0001, 0.4528, 0.0106, 0.1298, 0.0573, 0.0088, 0.0129, 0.0187, 0.0043]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 48.0]), label=3.0, probability=DenseVector([0.0142, 0.0364, 0.1824, 0.3651, 0.017, 0.0406, 0.0362, 0.0279, 0.0543, 0.0509, 0.0061, 0.011, 0.0163, 0.1416]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 49.0]), label=2.0, probability=DenseVector([0.0147, 0.0381, 0.1823, 0.3649, 0.0165, 0.0449, 0.0346, 0.0293, 0.0577, 0.0488, 0.0054, 0.011, 0.0167, 0.1353]))
Row(prediction=3.0, features=DenseVector([35.0, 53.0, 43.0]), label=3.0, probability=DenseVector([0.012, 0.0304, 0.1739, 0.3753, 0.0172, 0.0258, 0.055, 0.0178, 0.0487, 0.0655, 0.0063, 0.0111, 0.0131, 0.1478]))
Row(prediction=6.0, features=DenseVector([35.0, 54.0, 39.0]), label=3.0, probability=DenseVector([0.0608, 0.0367, 0.042, 0.0506, 0.0221, 0.0, 0.5965, 0.0115, 0.0656, 0.0592, 0.0089, 0.0114, 0.0347, 0.0001]))
Row(prediction=9.0, features=DenseVector([36.0, 14.0, 40.0]), label=12.0, probability=DenseVector([0.0226, 0.1204, 0.0159, 0.0165, 0.0233, 0.0643, 0.0732, 0.0018, 0.0084, 0.5497, 0.0127, 0.051, 0.04, 0.0001]))
Row(prediction=9.0, features=DenseVector([36.0, 14.0, 41.0]), label=1.0, probability=DenseVector([0.02, 0.1146, 0.0209, 0.0101, 0.0204, 0.2071, 0.0556, 0.0018, 0.0066, 0.4581, 0.0117, 0.0336, 0.0394, 0.0001]))
Row(prediction=9.0, features=DenseVector([36.0, 17.0, 38.0]), label=1.0, probability=DenseVector([0.0236, 0.1242, 0.0122, 0.023, 0.0236, 0.0342, 0.0708, 0.0019, 0.007, 0.5831, 0.0127, 0.0402, 0.0434, 0.0001]))
Row(prediction=5.0, features=DenseVector([36.0, 24.0, 48.0]), label=1.0, probability=DenseVector([0.0145, 0.1329, 0.1127, 0.0962, 0.0164, 0.4055, 0.0082, 0.0194, 0.0287, 0.0969, 0.0114, 0.0159, 0.0346, 0.0066]))
Row(prediction=5.0, features=DenseVector([36.0, 26.0, 47.0]), label=12.0, probability=DenseVector([0.0203, 0.1274, 0.1047, 0.0795, 0.0231, 0.3842, 0.0163, 0.0186, 0.0302, 0.1147, 0.0179, 0.0147, 0.0413, 0.0071]))
Row(prediction=1.0, features=DenseVector([36.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0205, 0.2493, 0.1476, 0.0984, 0.0158, 0.234, 0.0013, 0.0256, 0.0416, 0.0875, 0.0111, 0.0248, 0.0353, 0.0071]))
Row(prediction=1.0, features=DenseVector([36.0, 26.0, 53.0]), label=4.0, probability=DenseVector([0.0205, 0.2493, 0.1476, 0.0984, 0.0158, 0.234, 0.0013, 0.0256, 0.0416, 0.0875, 0.0111, 0.0248, 0.0353, 0.0071]))
Row(prediction=1.0, features=DenseVector([36.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0233, 0.249, 0.1496, 0.1044, 0.0183, 0.221, 0.0015, 0.0266, 0.0439, 0.0803, 0.0138, 0.0252, 0.0349, 0.008]))
Row(prediction=1.0, features=DenseVector([36.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0233, 0.249, 0.1496, 0.1044, 0.0183, 0.221, 0.0015, 0.0266, 0.0439, 0.0803, 0.0138, 0.0252, 0.0349, 0.008]))
Row(prediction=5.0, features=DenseVector([36.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.026, 0.1508, 0.1585, 0.1301, 0.0233, 0.2809, 0.0059, 0.0276, 0.043, 0.0685, 0.0194, 0.0225, 0.0324, 0.011]))
Row(prediction=5.0, features=DenseVector([36.0, 30.0, 51.0]), label=12.0, probability=DenseVector([0.026, 0.1508, 0.1585, 0.1301, 0.0233, 0.2809, 0.0059, 0.0276, 0.043, 0.0685, 0.0194, 0.0225, 0.0324, 0.011]))
Row(prediction=5.0, features=DenseVector([36.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.026, 0.1508, 0.1585, 0.1301, 0.0233, 0.2809, 0.0059, 0.0276, 0.043, 0.0685, 0.0194, 0.0225, 0.0324, 0.011]))
Row(prediction=5.0, features=DenseVector([36.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 32.0, 56.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 48.0]), label=3.0, probability=DenseVector([0.0224, 0.1188, 0.1367, 0.156, 0.0227, 0.2783, 0.0133, 0.031, 0.0415, 0.0788, 0.0172, 0.0182, 0.0334, 0.0318]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 49.0]), label=10.0, probability=DenseVector([0.0292, 0.1091, 0.1423, 0.1665, 0.031, 0.2741, 0.01, 0.0331, 0.0458, 0.0571, 0.0257, 0.0177, 0.031, 0.0273]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0315, 0.1287, 0.1412, 0.1371, 0.0297, 0.3105, 0.0059, 0.028, 0.0437, 0.0541, 0.0269, 0.0173, 0.0305, 0.0149]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 52.0]), label=12.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.035, 0.12, 0.1306, 0.1278, 0.0323, 0.3474, 0.0016, 0.0304, 0.0475, 0.0402, 0.0271, 0.0148, 0.0268, 0.0183]))
Row(prediction=5.0, features=DenseVector([36.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0307, 0.1016, 0.141, 0.1694, 0.0321, 0.2772, 0.0095, 0.0342, 0.0492, 0.0528, 0.0267, 0.0168, 0.0298, 0.0289]))
Row(prediction=5.0, features=DenseVector([36.0, 35.0, 52.0]), label=12.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 35.0, 56.0]), label=1.0, probability=DenseVector([0.034, 0.1219, 0.1298, 0.1256, 0.0342, 0.3372, 0.0017, 0.0296, 0.0494, 0.0473, 0.0274, 0.0158, 0.0282, 0.0177]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 44.0]), label=4.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 46.0]), label=8.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0342, 0.1142, 0.1374, 0.1415, 0.0316, 0.322, 0.0053, 0.0296, 0.0486, 0.0448, 0.0289, 0.0158, 0.0281, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 52.0]), label=12.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 53.0]), label=12.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 53.0]), label=12.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0345, 0.09, 0.1493, 0.1559, 0.0344, 0.2846, 0.0097, 0.037, 0.0519, 0.0496, 0.0285, 0.0179, 0.0265, 0.0302]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 53.0]), label=12.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 48.0]), label=4.0, probability=DenseVector([0.0361, 0.081, 0.1341, 0.1575, 0.0406, 0.2648, 0.0166, 0.036, 0.0491, 0.0705, 0.0335, 0.0167, 0.0273, 0.0362]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 51.0]), label=12.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=10.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=4.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 54.0]), label=3.0, probability=DenseVector([0.035, 0.12, 0.1306, 0.1278, 0.0323, 0.3474, 0.0016, 0.0304, 0.0475, 0.0402, 0.0271, 0.0148, 0.0268, 0.0183]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 54.0]), label=2.0, probability=DenseVector([0.035, 0.12, 0.1306, 0.1278, 0.0323, 0.3474, 0.0016, 0.0304, 0.0475, 0.0402, 0.0271, 0.0148, 0.0268, 0.0183]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 55.0]), label=1.0, probability=DenseVector([0.034, 0.1219, 0.1298, 0.1256, 0.0342, 0.3372, 0.0017, 0.0296, 0.0494, 0.0473, 0.0274, 0.0158, 0.0282, 0.0177]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 47.0]), label=3.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0345, 0.09, 0.1493, 0.1559, 0.0344, 0.2846, 0.0097, 0.037, 0.0519, 0.0496, 0.0285, 0.0179, 0.0265, 0.0302]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 51.0]), label=4.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=0.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=4.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=4.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 54.0]), label=3.0, probability=DenseVector([0.0336, 0.1156, 0.1261, 0.1344, 0.0323, 0.3435, 0.0016, 0.0306, 0.0547, 0.0401, 0.0257, 0.0144, 0.0279, 0.0196]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 46.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 46.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 49.0]), label=4.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 50.0]), label=7.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=4.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=4.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=4.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 53.0]), label=1.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 53.0]), label=1.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 49.0]), label=1.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 53.0]), label=1.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 54.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 43.0]), label=4.0, probability=DenseVector([0.0425, 0.0693, 0.1506, 0.235, 0.0365, 0.0598, 0.0353, 0.0357, 0.0486, 0.1146, 0.0293, 0.0241, 0.0231, 0.0956]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=4.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=4.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=4.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 52.0]), label=4.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 54.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 54.0]), label=8.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 44.0]), label=3.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 44.0]), label=3.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=4.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 51.0]), label=0.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 51.0]), label=1.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 57.0]), label=3.0, probability=DenseVector([0.0341, 0.0918, 0.1463, 0.2159, 0.0332, 0.144, 0.0098, 0.0399, 0.0881, 0.0849, 0.0147, 0.0174, 0.0366, 0.0432]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 58.0]), label=0.0, probability=DenseVector([0.0341, 0.0918, 0.1463, 0.2159, 0.0332, 0.144, 0.0098, 0.0399, 0.0881, 0.0849, 0.0147, 0.0174, 0.0366, 0.0432]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 42.0]), label=3.0, probability=DenseVector([0.0479, 0.0668, 0.1401, 0.22, 0.0367, 0.0417, 0.1069, 0.0249, 0.0407, 0.1099, 0.0281, 0.0222, 0.0205, 0.0936]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 46.0]), label=10.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 46.0]), label=1.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 47.0]), label=1.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 51.0]), label=1.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 51.0]), label=1.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 52.0]), label=1.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 43.0]), label=3.0, probability=DenseVector([0.0389, 0.0517, 0.1652, 0.2583, 0.033, 0.0532, 0.0556, 0.0297, 0.0453, 0.0875, 0.0251, 0.0205, 0.0191, 0.117]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 47.0]), label=1.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 47.0]), label=1.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 48.0]), label=1.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 48.0]), label=1.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 50.0]), label=1.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 46.0]), label=10.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 47.0]), label=1.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 47.0]), label=1.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 47.0]), label=1.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 51.0]), label=3.0, probability=DenseVector([0.0181, 0.0505, 0.1859, 0.3125, 0.0184, 0.068, 0.0235, 0.0357, 0.0631, 0.0425, 0.0056, 0.0129, 0.0217, 0.1417]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.0505, 0.1859, 0.3125, 0.0184, 0.068, 0.0235, 0.0357, 0.0631, 0.0425, 0.0056, 0.0129, 0.0217, 0.1417]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.017, 0.0446, 0.1827, 0.3207, 0.017, 0.042, 0.0459, 0.026, 0.0453, 0.0556, 0.0094, 0.0125, 0.0153, 0.1659]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([36.0, 51.0, 39.0]), label=1.0, probability=DenseVector([0.0608, 0.0367, 0.042, 0.0506, 0.0221, 0.0, 0.5965, 0.0115, 0.0656, 0.0592, 0.0089, 0.0114, 0.0347, 0.0001]))
Row(prediction=3.0, features=DenseVector([36.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([36.0, 52.0, 40.0]), label=3.0, probability=DenseVector([0.05, 0.0304, 0.0987, 0.1052, 0.0206, 0.0001, 0.4528, 0.0106, 0.1298, 0.0573, 0.0088, 0.0129, 0.0187, 0.0043]))
Row(prediction=6.0, features=DenseVector([36.0, 52.0, 41.0]), label=3.0, probability=DenseVector([0.0357, 0.0296, 0.1266, 0.1848, 0.0168, 0.0055, 0.3373, 0.0129, 0.1225, 0.0527, 0.005, 0.0123, 0.011, 0.0474]))
Row(prediction=3.0, features=DenseVector([36.0, 52.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([36.0, 53.0, 42.0]), label=3.0, probability=DenseVector([0.012, 0.0304, 0.1739, 0.3753, 0.0172, 0.0258, 0.055, 0.0178, 0.0487, 0.0655, 0.0063, 0.0111, 0.0131, 0.1478]))
Row(prediction=9.0, features=DenseVector([36.0, 57.0, 63.0]), label=1.0, probability=DenseVector([0.0186, 0.075, 0.0969, 0.1644, 0.0437, 0.0436, 0.0566, 0.0191, 0.0596, 0.2693, 0.0109, 0.0127, 0.0721, 0.0574]))
Row(prediction=5.0, features=DenseVector([37.0, 11.0, 42.0]), label=1.0, probability=DenseVector([0.009, 0.1084, 0.0584, 0.032, 0.0115, 0.463, 0.0129, 0.0065, 0.0114, 0.2222, 0.0076, 0.016, 0.0381, 0.0028]))
Row(prediction=9.0, features=DenseVector([37.0, 13.0, 37.0]), label=1.0, probability=DenseVector([0.0236, 0.1242, 0.0122, 0.023, 0.0236, 0.0342, 0.0708, 0.0019, 0.007, 0.5831, 0.0127, 0.0402, 0.0434, 0.0001]))
Row(prediction=9.0, features=DenseVector([37.0, 14.0, 34.0]), label=1.0, probability=DenseVector([0.0199, 0.1355, 0.0101, 0.0084, 0.0194, 0.0269, 0.073, 0.0021, 0.0054, 0.619, 0.0083, 0.0295, 0.0424, 0.0001]))
Row(prediction=5.0, features=DenseVector([37.0, 22.0, 50.0]), label=1.0, probability=DenseVector([0.0167, 0.14, 0.1354, 0.1143, 0.017, 0.363, 0.0057, 0.0237, 0.0333, 0.0781, 0.0125, 0.0193, 0.0327, 0.0083]))
Row(prediction=9.0, features=DenseVector([37.0, 23.0, 37.0]), label=1.0, probability=DenseVector([0.0279, 0.1146, 0.0143, 0.0115, 0.0253, 0.0279, 0.0913, 0.0025, 0.0096, 0.5767, 0.0156, 0.0403, 0.0423, 0.0001]))
Row(prediction=5.0, features=DenseVector([37.0, 24.0, 48.0]), label=1.0, probability=DenseVector([0.0145, 0.1329, 0.1127, 0.0962, 0.0164, 0.4055, 0.0082, 0.0194, 0.0287, 0.0969, 0.0114, 0.0159, 0.0346, 0.0066]))
Row(prediction=5.0, features=DenseVector([37.0, 25.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.2093, 0.1686, 0.0946, 0.0174, 0.2278, 0.0012, 0.0241, 0.0416, 0.1134, 0.0111, 0.0278, 0.0341, 0.0071]))
Row(prediction=5.0, features=DenseVector([37.0, 26.0, 49.0]), label=12.0, probability=DenseVector([0.0163, 0.1321, 0.1311, 0.1069, 0.017, 0.3837, 0.006, 0.0219, 0.0319, 0.081, 0.0125, 0.0183, 0.0331, 0.0082]))
Row(prediction=5.0, features=DenseVector([37.0, 27.0, 49.0]), label=3.0, probability=DenseVector([0.0232, 0.1218, 0.1466, 0.1532, 0.0222, 0.2889, 0.009, 0.0319, 0.043, 0.065, 0.0174, 0.0201, 0.033, 0.0247]))
Row(prediction=5.0, features=DenseVector([37.0, 28.0, 52.0]), label=12.0, probability=DenseVector([0.0247, 0.209, 0.1706, 0.1007, 0.0199, 0.2148, 0.0014, 0.0252, 0.0439, 0.1061, 0.0138, 0.0282, 0.0337, 0.008]))
Row(prediction=5.0, features=DenseVector([37.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0247, 0.209, 0.1706, 0.1007, 0.0199, 0.2148, 0.0014, 0.0252, 0.0439, 0.1061, 0.0138, 0.0282, 0.0337, 0.008]))
Row(prediction=5.0, features=DenseVector([37.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.026, 0.1508, 0.1585, 0.1301, 0.0233, 0.2809, 0.0059, 0.0276, 0.043, 0.0685, 0.0194, 0.0225, 0.0324, 0.011]))
Row(prediction=5.0, features=DenseVector([37.0, 30.0, 54.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 31.0, 58.0]), label=4.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=9.0, features=DenseVector([37.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.0457, 0.1072, 0.0111, 0.0068, 0.0327, 0.0236, 0.1458, 0.0055, 0.0078, 0.5208, 0.0352, 0.0293, 0.0285, 0.0001]))
Row(prediction=9.0, features=DenseVector([37.0, 33.0, 32.0]), label=3.0, probability=DenseVector([0.0457, 0.1072, 0.0111, 0.0068, 0.0327, 0.0236, 0.1458, 0.0055, 0.0078, 0.5208, 0.0352, 0.0293, 0.0285, 0.0001]))
Row(prediction=5.0, features=DenseVector([37.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([37.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 55.0]), label=1.0, probability=DenseVector([0.039, 0.1254, 0.1266, 0.1198, 0.0384, 0.3275, 0.002, 0.0278, 0.0483, 0.0541, 0.0292, 0.0163, 0.029, 0.0165]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 46.0]), label=3.0, probability=DenseVector([0.0347, 0.0853, 0.1224, 0.1482, 0.0441, 0.2638, 0.0195, 0.0246, 0.0418, 0.0958, 0.0378, 0.0149, 0.0293, 0.0377]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0307, 0.1016, 0.141, 0.1694, 0.0321, 0.2772, 0.0095, 0.0342, 0.0492, 0.0528, 0.0267, 0.0168, 0.0298, 0.0289]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 51.0]), label=1.0, probability=DenseVector([0.0329, 0.1212, 0.1399, 0.14, 0.0308, 0.3136, 0.0055, 0.0291, 0.0471, 0.0498, 0.0279, 0.0163, 0.0292, 0.0166]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 54.0]), label=1.0, probability=DenseVector([0.04, 0.1235, 0.1274, 0.122, 0.0365, 0.3377, 0.0018, 0.0286, 0.0465, 0.047, 0.0289, 0.0152, 0.0276, 0.0171]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 46.0]), label=3.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 53.0]), label=4.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.04, 0.1235, 0.1274, 0.122, 0.0365, 0.3377, 0.0018, 0.0286, 0.0465, 0.047, 0.0289, 0.0152, 0.0276, 0.0171]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 54.0]), label=3.0, probability=DenseVector([0.04, 0.1235, 0.1274, 0.122, 0.0365, 0.3377, 0.0018, 0.0286, 0.0465, 0.047, 0.0289, 0.0152, 0.0276, 0.0171]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 48.0]), label=10.0, probability=DenseVector([0.0361, 0.081, 0.1341, 0.1575, 0.0406, 0.2648, 0.0166, 0.036, 0.0491, 0.0705, 0.0335, 0.0167, 0.0273, 0.0362]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0345, 0.09, 0.1493, 0.1559, 0.0344, 0.2846, 0.0097, 0.037, 0.0519, 0.0496, 0.0285, 0.0179, 0.0265, 0.0302]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=9.0, features=DenseVector([37.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.0607, 0.0742, 0.0134, 0.0108, 0.044, 0.0233, 0.1696, 0.0048, 0.0119, 0.4233, 0.0466, 0.0917, 0.0258, 0.0001]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 52.0]), label=4.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 52.0]), label=4.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=9.0, features=DenseVector([37.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.0634, 0.0778, 0.0129, 0.0111, 0.044, 0.0066, 0.1879, 0.0046, 0.0126, 0.4156, 0.0471, 0.092, 0.0244, 0.0001]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 46.0]), label=4.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=4.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=0.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 58.0]), label=1.0, probability=DenseVector([0.0351, 0.0878, 0.1451, 0.2166, 0.0318, 0.1431, 0.0099, 0.0386, 0.0978, 0.0851, 0.0153, 0.0168, 0.0352, 0.0419]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 42.0]), label=3.0, probability=DenseVector([0.0527, 0.0718, 0.1197, 0.1862, 0.046, 0.0537, 0.0567, 0.0298, 0.0427, 0.1655, 0.0486, 0.0278, 0.0236, 0.0751]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 49.0]), label=4.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 49.0]), label=4.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 52.0]), label=12.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 44.0]), label=4.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 45.0]), label=12.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 46.0]), label=1.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 51.0]), label=12.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 44.0]), label=3.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 51.0]), label=1.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 51.0]), label=1.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 45.0]), label=4.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 48.0]), label=1.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 47.0]), label=1.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 47.0]), label=1.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 47.0]), label=1.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 51.0]), label=2.0, probability=DenseVector([0.0275, 0.0565, 0.1852, 0.287, 0.0184, 0.1013, 0.0159, 0.048, 0.0907, 0.0366, 0.0075, 0.0125, 0.0231, 0.0897]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 51.0]), label=1.0, probability=DenseVector([0.0275, 0.0565, 0.1852, 0.287, 0.0184, 0.1013, 0.0159, 0.048, 0.0907, 0.0366, 0.0075, 0.0125, 0.0231, 0.0897]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 43.0]), label=3.0, probability=DenseVector([0.0245, 0.0478, 0.1786, 0.3008, 0.0203, 0.042, 0.0538, 0.0272, 0.0408, 0.0587, 0.0127, 0.0131, 0.017, 0.1625]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 44.0]), label=4.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 42.0]), label=3.0, probability=DenseVector([0.026, 0.0571, 0.1599, 0.2831, 0.0208, 0.0321, 0.0972, 0.0217, 0.0411, 0.0773, 0.0122, 0.0132, 0.016, 0.1423]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.017, 0.0446, 0.1827, 0.3207, 0.017, 0.042, 0.0459, 0.026, 0.0453, 0.0556, 0.0094, 0.0125, 0.0153, 0.1659]))
Row(prediction=6.0, features=DenseVector([37.0, 49.0, 40.0]), label=3.0, probability=DenseVector([0.0649, 0.0646, 0.0549, 0.0625, 0.0272, 0.0002, 0.5058, 0.0118, 0.0659, 0.0877, 0.0154, 0.0132, 0.0231, 0.0028]))
Row(prediction=6.0, features=DenseVector([37.0, 49.0, 41.0]), label=3.0, probability=DenseVector([0.0507, 0.0638, 0.0828, 0.142, 0.0234, 0.0056, 0.3903, 0.0142, 0.0586, 0.0831, 0.0116, 0.0127, 0.0154, 0.0459]))
Row(prediction=3.0, features=DenseVector([37.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([37.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([37.0, 49.0, 45.0]), label=10.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([37.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([37.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([37.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([37.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([37.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=6.0, features=DenseVector([37.0, 52.0, 40.0]), label=3.0, probability=DenseVector([0.05, 0.0304, 0.0987, 0.1052, 0.0206, 0.0001, 0.4528, 0.0106, 0.1298, 0.0573, 0.0088, 0.0129, 0.0187, 0.0043]))
Row(prediction=3.0, features=DenseVector([37.0, 52.0, 43.0]), label=10.0, probability=DenseVector([0.0114, 0.0301, 0.173, 0.3684, 0.0174, 0.0259, 0.05, 0.0178, 0.0511, 0.0763, 0.0069, 0.0118, 0.0134, 0.1465]))
Row(prediction=3.0, features=DenseVector([37.0, 52.0, 44.0]), label=3.0, probability=DenseVector([0.0113, 0.0307, 0.1754, 0.363, 0.0174, 0.0266, 0.0476, 0.0185, 0.0463, 0.0753, 0.0068, 0.012, 0.0141, 0.1549]))
Row(prediction=6.0, features=DenseVector([37.0, 55.0, 40.0]), label=0.0, probability=DenseVector([0.0496, 0.0402, 0.0561, 0.0679, 0.0249, 0.0, 0.5446, 0.0107, 0.0778, 0.0843, 0.0079, 0.0141, 0.0176, 0.0043]))
Row(prediction=9.0, features=DenseVector([38.0, 14.0, 38.0]), label=1.0, probability=DenseVector([0.0236, 0.1242, 0.0122, 0.023, 0.0236, 0.0342, 0.0708, 0.0019, 0.007, 0.5831, 0.0127, 0.0402, 0.0434, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 15.0, 39.0]), label=1.0, probability=DenseVector([0.0226, 0.1204, 0.0159, 0.0165, 0.0233, 0.0643, 0.0732, 0.0018, 0.0084, 0.5497, 0.0127, 0.051, 0.04, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 16.0, 42.0]), label=1.0, probability=DenseVector([0.009, 0.1084, 0.0584, 0.032, 0.0115, 0.463, 0.0129, 0.0065, 0.0114, 0.2222, 0.0076, 0.016, 0.0381, 0.0028]))
Row(prediction=5.0, features=DenseVector([38.0, 18.0, 45.0]), label=2.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 50.0]), label=1.0, probability=DenseVector([0.0144, 0.1193, 0.1545, 0.0634, 0.0149, 0.4497, 0.0021, 0.0135, 0.0204, 0.0801, 0.0119, 0.0229, 0.0269, 0.0061]))
Row(prediction=9.0, features=DenseVector([38.0, 22.0, 40.0]), label=12.0, probability=DenseVector([0.0269, 0.114, 0.0175, 0.0077, 0.0263, 0.0292, 0.0969, 0.0024, 0.0114, 0.569, 0.0156, 0.0421, 0.0409, 0.0001]))
Row(prediction=5.0, features=DenseVector([38.0, 23.0, 46.0]), label=2.0, probability=DenseVector([0.0224, 0.1278, 0.1206, 0.0756, 0.0248, 0.3662, 0.0164, 0.0172, 0.0291, 0.117, 0.0196, 0.0165, 0.0405, 0.0064]))
Row(prediction=5.0, features=DenseVector([38.0, 23.0, 49.0]), label=12.0, probability=DenseVector([0.0186, 0.1282, 0.1757, 0.082, 0.0191, 0.3617, 0.005, 0.0178, 0.0287, 0.0851, 0.0146, 0.0268, 0.0292, 0.0074]))
Row(prediction=5.0, features=DenseVector([38.0, 26.0, 47.0]), label=1.0, probability=DenseVector([0.0224, 0.1278, 0.1206, 0.0756, 0.0248, 0.3662, 0.0164, 0.0172, 0.0291, 0.117, 0.0196, 0.0165, 0.0405, 0.0064]))
Row(prediction=5.0, features=DenseVector([38.0, 26.0, 48.0]), label=1.0, probability=DenseVector([0.0168, 0.1289, 0.1573, 0.0713, 0.0185, 0.3835, 0.0073, 0.0153, 0.0254, 0.101, 0.0135, 0.0244, 0.0308, 0.0058]))
Row(prediction=5.0, features=DenseVector([38.0, 26.0, 53.0]), label=4.0, probability=DenseVector([0.0246, 0.1965, 0.1834, 0.0862, 0.0204, 0.2027, 0.0015, 0.0215, 0.0392, 0.1421, 0.0128, 0.0302, 0.0325, 0.0064]))
Row(prediction=5.0, features=DenseVector([38.0, 31.0, 50.0]), label=4.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=2.0, features=DenseVector([38.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 46.0]), label=4.0, probability=DenseVector([0.0283, 0.1193, 0.1414, 0.1266, 0.0308, 0.2559, 0.0219, 0.0223, 0.0366, 0.1029, 0.0253, 0.0182, 0.0367, 0.0336]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 50.0]), label=12.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 52.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 50.0]), label=4.0, probability=DenseVector([0.0329, 0.0976, 0.1856, 0.1445, 0.0342, 0.2553, 0.0086, 0.0301, 0.046, 0.057, 0.0288, 0.0253, 0.0259, 0.0282]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0329, 0.0976, 0.1856, 0.1445, 0.0342, 0.2553, 0.0086, 0.0301, 0.046, 0.057, 0.0288, 0.0253, 0.0259, 0.0282]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 51.0]), label=1.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 54.0]), label=4.0, probability=DenseVector([0.042, 0.1239, 0.1433, 0.1181, 0.0382, 0.3197, 0.0019, 0.0272, 0.0453, 0.0493, 0.0307, 0.017, 0.0269, 0.0164]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 55.0]), label=10.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 51.0]), label=10.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 51.0]), label=12.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 53.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 55.0]), label=3.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 56.0]), label=4.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 48.0]), label=1.0, probability=DenseVector([0.0382, 0.0814, 0.1499, 0.1537, 0.0422, 0.2468, 0.0167, 0.0346, 0.048, 0.0728, 0.0353, 0.0185, 0.0266, 0.0355]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 53.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 56.0]), label=3.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 44.0]), label=4.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 44.0]), label=3.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 45.0]), label=10.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0382, 0.0814, 0.1499, 0.1537, 0.0422, 0.2468, 0.0167, 0.0346, 0.048, 0.0728, 0.0353, 0.0185, 0.0266, 0.0355]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 59.0]), label=3.0, probability=DenseVector([0.0395, 0.1213, 0.138, 0.1226, 0.04, 0.3056, 0.0021, 0.0266, 0.0543, 0.0564, 0.0295, 0.0177, 0.0293, 0.0172]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 48.0]), label=4.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 49.0]), label=1.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 42.0]), label=10.0, probability=DenseVector([0.0514, 0.0717, 0.123, 0.1924, 0.0446, 0.0442, 0.0581, 0.0299, 0.0401, 0.1655, 0.0472, 0.0279, 0.0233, 0.0806]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 45.0]), label=4.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 52.0]), label=8.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 59.0]), label=3.0, probability=DenseVector([0.0351, 0.0878, 0.1451, 0.2166, 0.0318, 0.1431, 0.0099, 0.0386, 0.0978, 0.0851, 0.0153, 0.0168, 0.0352, 0.0419]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 42.0]), label=4.0, probability=DenseVector([0.0479, 0.0668, 0.1401, 0.22, 0.0367, 0.0417, 0.1069, 0.0249, 0.0407, 0.1099, 0.0281, 0.0222, 0.0205, 0.0936]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=9.0, features=DenseVector([38.0, 45.0, 41.0]), label=4.0, probability=DenseVector([0.073, 0.1041, 0.062, 0.0869, 0.0478, 0.0084, 0.2203, 0.008, 0.0203, 0.2598, 0.038, 0.0222, 0.0165, 0.0326]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 43.0]), label=3.0, probability=DenseVector([0.0389, 0.0517, 0.1652, 0.2583, 0.033, 0.0532, 0.0556, 0.0297, 0.0453, 0.0875, 0.0251, 0.0205, 0.0191, 0.117]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=1.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 50.0]), label=1.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 47.0]), label=1.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 51.0]), label=1.0, probability=DenseVector([0.0191, 0.0464, 0.1846, 0.3132, 0.0169, 0.067, 0.0236, 0.0343, 0.0727, 0.0426, 0.0062, 0.0123, 0.0203, 0.1405]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 42.0]), label=3.0, probability=DenseVector([0.026, 0.0571, 0.1599, 0.2831, 0.0208, 0.0321, 0.0972, 0.0217, 0.0411, 0.0773, 0.0122, 0.0132, 0.016, 0.1423]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 53.0]), label=3.0, probability=DenseVector([0.0277, 0.082, 0.1541, 0.2496, 0.0242, 0.1247, 0.0173, 0.0341, 0.088, 0.0586, 0.0128, 0.0187, 0.03, 0.0783]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 42.0]), label=4.0, probability=DenseVector([0.026, 0.0571, 0.1599, 0.2831, 0.0208, 0.0321, 0.0972, 0.0217, 0.0411, 0.0773, 0.0122, 0.0132, 0.016, 0.1423]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([38.0, 50.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([38.0, 52.0, 43.0]), label=3.0, probability=DenseVector([0.0109, 0.0357, 0.1488, 0.2796, 0.0224, 0.0258, 0.0899, 0.0176, 0.0397, 0.1585, 0.0077, 0.016, 0.0181, 0.1292]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 39.0]), label=1.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 56.0, 55.0]), label=3.0, probability=DenseVector([0.0183, 0.0685, 0.1032, 0.1763, 0.0421, 0.0499, 0.0469, 0.0181, 0.0684, 0.2903, 0.0123, 0.0121, 0.036, 0.0576]))
Row(prediction=6.0, features=DenseVector([38.0, 58.0, 37.0]), label=4.0, probability=DenseVector([0.0443, 0.0286, 0.0184, 0.0253, 0.0174, 0.0, 0.7261, 0.0088, 0.0325, 0.0635, 0.0071, 0.0071, 0.0207, 0.0001]))
Row(prediction=9.0, features=DenseVector([39.0, 14.0, 33.0]), label=1.0, probability=DenseVector([0.0199, 0.1355, 0.0101, 0.0084, 0.0194, 0.0269, 0.073, 0.0021, 0.0054, 0.619, 0.0083, 0.0295, 0.0424, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 14.0, 43.0]), label=12.0, probability=DenseVector([0.0123, 0.1029, 0.0965, 0.0414, 0.0143, 0.5007, 0.0078, 0.0084, 0.0149, 0.1367, 0.011, 0.0163, 0.0331, 0.0037]))
Row(prediction=9.0, features=DenseVector([39.0, 15.0, 40.0]), label=1.0, probability=DenseVector([0.0226, 0.1204, 0.0159, 0.0165, 0.0233, 0.0643, 0.0732, 0.0018, 0.0084, 0.5497, 0.0127, 0.051, 0.04, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 15.0, 45.0]), label=2.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([39.0, 17.0, 50.0]), label=1.0, probability=DenseVector([0.0144, 0.1193, 0.1545, 0.0634, 0.0149, 0.4497, 0.0021, 0.0135, 0.0204, 0.0801, 0.0119, 0.0229, 0.0269, 0.0061]))
Row(prediction=5.0, features=DenseVector([39.0, 18.0, 42.0]), label=1.0, probability=DenseVector([0.009, 0.1084, 0.0584, 0.032, 0.0115, 0.463, 0.0129, 0.0065, 0.0114, 0.2222, 0.0076, 0.016, 0.0381, 0.0028]))
Row(prediction=5.0, features=DenseVector([39.0, 18.0, 46.0]), label=2.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([39.0, 19.0, 45.0]), label=2.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([39.0, 20.0, 47.0]), label=2.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([39.0, 21.0, 50.0]), label=2.0, probability=DenseVector([0.0144, 0.1193, 0.1545, 0.0634, 0.0149, 0.4497, 0.0021, 0.0135, 0.0204, 0.0801, 0.0119, 0.0229, 0.0269, 0.0061]))
Row(prediction=9.0, features=DenseVector([39.0, 21.0, 52.0]), label=1.0, probability=DenseVector([0.0191, 0.1474, 0.1592, 0.0756, 0.0159, 0.1821, 0.0019, 0.0186, 0.03, 0.2793, 0.0124, 0.0239, 0.0285, 0.0061]))
Row(prediction=5.0, features=DenseVector([39.0, 22.0, 48.0]), label=2.0, probability=DenseVector([0.0168, 0.1289, 0.1573, 0.0713, 0.0185, 0.3835, 0.0073, 0.0153, 0.0254, 0.101, 0.0135, 0.0244, 0.0308, 0.0058]))
Row(prediction=5.0, features=DenseVector([39.0, 22.0, 49.0]), label=1.0, probability=DenseVector([0.0186, 0.1282, 0.1757, 0.082, 0.0191, 0.3617, 0.005, 0.0178, 0.0287, 0.0851, 0.0146, 0.0268, 0.0292, 0.0074]))
Row(prediction=5.0, features=DenseVector([39.0, 23.0, 49.0]), label=1.0, probability=DenseVector([0.0186, 0.1282, 0.1757, 0.082, 0.0191, 0.3617, 0.005, 0.0178, 0.0287, 0.0851, 0.0146, 0.0268, 0.0292, 0.0074]))
Row(prediction=5.0, features=DenseVector([39.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 24.0, 51.0]), label=1.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 28.0, 51.0]), label=4.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([39.0, 28.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=2.0, features=DenseVector([39.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=2.0, features=DenseVector([39.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 32.0, 51.0]), label=1.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([39.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 32.0, 54.0]), label=1.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=9.0, features=DenseVector([39.0, 33.0, 33.0]), label=1.0, probability=DenseVector([0.0457, 0.1072, 0.0111, 0.0068, 0.0327, 0.0236, 0.1458, 0.0055, 0.0078, 0.5208, 0.0352, 0.0293, 0.0285, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 43.0]), label=10.0, probability=DenseVector([0.0282, 0.1186, 0.1364, 0.1222, 0.0303, 0.2361, 0.0239, 0.0214, 0.0351, 0.1313, 0.0245, 0.0222, 0.037, 0.0329]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 48.0]), label=1.0, probability=DenseVector([0.0247, 0.1149, 0.1813, 0.1312, 0.0248, 0.2563, 0.0123, 0.0269, 0.0383, 0.0829, 0.0192, 0.0267, 0.0296, 0.031]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.145, 0.1948, 0.1103, 0.028, 0.2615, 0.005, 0.0235, 0.0392, 0.068, 0.0244, 0.0296, 0.0286, 0.0115]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.145, 0.1948, 0.1103, 0.028, 0.2615, 0.005, 0.0235, 0.0392, 0.068, 0.0244, 0.0296, 0.0286, 0.0115]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.145, 0.1948, 0.1103, 0.028, 0.2615, 0.005, 0.0235, 0.0392, 0.068, 0.0244, 0.0296, 0.0286, 0.0115]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0305, 0.145, 0.1948, 0.1103, 0.028, 0.2615, 0.005, 0.0235, 0.0392, 0.068, 0.0244, 0.0296, 0.0286, 0.0115]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=10.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 54.0]), label=1.0, probability=DenseVector([0.038, 0.1469, 0.1592, 0.11, 0.0318, 0.2911, 0.0018, 0.0275, 0.0456, 0.0612, 0.0239, 0.0218, 0.0287, 0.0125]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 56.0]), label=3.0, probability=DenseVector([0.037, 0.1488, 0.1584, 0.1079, 0.0337, 0.2809, 0.002, 0.0267, 0.0474, 0.0683, 0.0242, 0.0228, 0.0301, 0.0119]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 51.0]), label=4.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=9.0, features=DenseVector([39.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.0457, 0.1072, 0.0111, 0.0068, 0.0327, 0.0236, 0.1458, 0.0055, 0.0078, 0.5208, 0.0352, 0.0293, 0.0285, 0.0001]))
Row(prediction=9.0, features=DenseVector([39.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.0457, 0.1072, 0.0111, 0.0068, 0.0327, 0.0236, 0.1458, 0.0055, 0.0078, 0.5208, 0.0352, 0.0293, 0.0285, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=1.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 53.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=9.0, features=DenseVector([39.0, 36.0, 38.0]), label=12.0, probability=DenseVector([0.0544, 0.0763, 0.014, 0.0106, 0.0421, 0.024, 0.1619, 0.005, 0.0121, 0.4367, 0.0438, 0.092, 0.0272, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 49.0]), label=3.0, probability=DenseVector([0.0343, 0.0906, 0.1831, 0.1461, 0.035, 0.2636, 0.0084, 0.0306, 0.0476, 0.052, 0.0298, 0.0247, 0.0248, 0.0294]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0343, 0.0906, 0.1831, 0.1461, 0.035, 0.2636, 0.0084, 0.0306, 0.0476, 0.052, 0.0298, 0.0247, 0.0248, 0.0294]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 53.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 54.0]), label=2.0, probability=DenseVector([0.042, 0.1239, 0.1433, 0.1181, 0.0382, 0.3197, 0.0019, 0.0272, 0.0453, 0.0493, 0.0307, 0.017, 0.0269, 0.0164]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 54.0]), label=1.0, probability=DenseVector([0.042, 0.1239, 0.1433, 0.1181, 0.0382, 0.3197, 0.0019, 0.0272, 0.0453, 0.0493, 0.0307, 0.017, 0.0269, 0.0164]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=4.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 55.0]), label=3.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 46.0]), label=1.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0382, 0.0814, 0.1499, 0.1537, 0.0422, 0.2468, 0.0167, 0.0346, 0.048, 0.0728, 0.0353, 0.0185, 0.0266, 0.0355]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=10.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=9.0, features=DenseVector([39.0, 41.0, 41.0]), label=10.0, probability=DenseVector([0.0629, 0.1019, 0.032, 0.0435, 0.0496, 0.0271, 0.1119, 0.0144, 0.0236, 0.3808, 0.0491, 0.0712, 0.0273, 0.0046]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 47.0]), label=4.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 48.0]), label=1.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 52.0]), label=8.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=9.0, features=DenseVector([39.0, 43.0, 38.0]), label=4.0, probability=DenseVector([0.0806, 0.1049, 0.0253, 0.0287, 0.0512, 0.0039, 0.286, 0.0039, 0.0163, 0.3057, 0.0557, 0.0182, 0.0171, 0.0027]))
Row(prediction=9.0, features=DenseVector([39.0, 43.0, 40.0]), label=4.0, probability=DenseVector([0.0806, 0.1049, 0.0253, 0.0287, 0.0512, 0.0039, 0.286, 0.0039, 0.0163, 0.3057, 0.0557, 0.0182, 0.0171, 0.0027]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 48.0]), label=1.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 51.0]), label=1.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 46.0]), label=10.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 53.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 53.0]), label=8.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 45.0]), label=4.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 42.0]), label=3.0, probability=DenseVector([0.0335, 0.0603, 0.1558, 0.2632, 0.0241, 0.0321, 0.1051, 0.0229, 0.0367, 0.0805, 0.0155, 0.0138, 0.0176, 0.1389]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 43.0]), label=3.0, probability=DenseVector([0.0245, 0.0478, 0.1786, 0.3008, 0.0203, 0.042, 0.0538, 0.0272, 0.0408, 0.0587, 0.0127, 0.0131, 0.017, 0.1625]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 52.0]), label=3.0, probability=DenseVector([0.0286, 0.0793, 0.1605, 0.2533, 0.025, 0.1308, 0.0145, 0.0354, 0.0856, 0.0525, 0.0125, 0.0161, 0.0269, 0.0791]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 43.0]), label=3.0, probability=DenseVector([0.017, 0.0446, 0.1827, 0.3207, 0.017, 0.042, 0.0459, 0.026, 0.0453, 0.0556, 0.0094, 0.0125, 0.0153, 0.1659]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 43.0]), label=3.0, probability=DenseVector([0.017, 0.0446, 0.1827, 0.3207, 0.017, 0.042, 0.0459, 0.026, 0.0453, 0.0556, 0.0094, 0.0125, 0.0153, 0.1659]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=6.0, features=DenseVector([39.0, 49.0, 39.0]), label=1.0, probability=DenseVector([0.064, 0.0645, 0.0431, 0.0551, 0.0271, 0.0002, 0.5253, 0.0106, 0.0557, 0.0993, 0.0148, 0.0128, 0.0249, 0.0027]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 53.0]), label=1.0, probability=DenseVector([0.0277, 0.082, 0.1541, 0.2496, 0.0242, 0.1247, 0.0173, 0.0341, 0.088, 0.0586, 0.0128, 0.0187, 0.03, 0.0783]))
Row(prediction=3.0, features=DenseVector([39.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([39.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([39.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0109, 0.0357, 0.1488, 0.2796, 0.0224, 0.0258, 0.0899, 0.0176, 0.0397, 0.1585, 0.0077, 0.016, 0.0181, 0.1292]))
Row(prediction=3.0, features=DenseVector([39.0, 58.0, 43.0]), label=3.0, probability=DenseVector([0.0102, 0.0353, 0.1409, 0.2507, 0.0182, 0.0258, 0.1229, 0.0176, 0.0326, 0.187, 0.0059, 0.0127, 0.0164, 0.1239]))
Row(prediction=9.0, features=DenseVector([40.0, 10.0, 33.0]), label=1.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 15.0, 41.0]), label=1.0, probability=DenseVector([0.0186, 0.1057, 0.0563, 0.0087, 0.0223, 0.0228, 0.0611, 0.0013, 0.0073, 0.5815, 0.0094, 0.0645, 0.0404, 0.0002]))
Row(prediction=9.0, features=DenseVector([40.0, 15.0, 42.0]), label=1.0, probability=DenseVector([0.0101, 0.0912, 0.1462, 0.0192, 0.0154, 0.0403, 0.026, 0.0007, 0.0044, 0.561, 0.0051, 0.0422, 0.0377, 0.0006]))
Row(prediction=9.0, features=DenseVector([40.0, 16.0, 43.0]), label=1.0, probability=DenseVector([0.0132, 0.0854, 0.2061, 0.0238, 0.0177, 0.0582, 0.0207, 0.0017, 0.0059, 0.4765, 0.0078, 0.0505, 0.0316, 0.0008]))
Row(prediction=9.0, features=DenseVector([40.0, 17.0, 41.0]), label=1.0, probability=DenseVector([0.0186, 0.1057, 0.0563, 0.0087, 0.0223, 0.0228, 0.0611, 0.0013, 0.0073, 0.5815, 0.0094, 0.0645, 0.0404, 0.0002]))
Row(prediction=9.0, features=DenseVector([40.0, 18.0, 44.0]), label=2.0, probability=DenseVector([0.0136, 0.0832, 0.311, 0.0234, 0.0166, 0.06, 0.0151, 0.0019, 0.0048, 0.3854, 0.0088, 0.0484, 0.0271, 0.0008]))
Row(prediction=9.0, features=DenseVector([40.0, 18.0, 44.0]), label=2.0, probability=DenseVector([0.0136, 0.0832, 0.311, 0.0234, 0.0166, 0.06, 0.0151, 0.0019, 0.0048, 0.3854, 0.0088, 0.0484, 0.0271, 0.0008]))
Row(prediction=9.0, features=DenseVector([40.0, 18.0, 45.0]), label=2.0, probability=DenseVector([0.0126, 0.0856, 0.3422, 0.0195, 0.0154, 0.0604, 0.011, 0.0018, 0.0046, 0.3648, 0.0086, 0.0469, 0.0259, 0.0007]))
Row(prediction=9.0, features=DenseVector([40.0, 19.0, 45.0]), label=2.0, probability=DenseVector([0.0126, 0.0856, 0.3422, 0.0195, 0.0154, 0.0604, 0.011, 0.0018, 0.0046, 0.3648, 0.0086, 0.0469, 0.0259, 0.0007]))
Row(prediction=2.0, features=DenseVector([40.0, 19.0, 47.0]), label=2.0, probability=DenseVector([0.0114, 0.0941, 0.367, 0.0177, 0.014, 0.0709, 0.0044, 0.0019, 0.004, 0.3321, 0.0088, 0.0448, 0.028, 0.0007]))
Row(prediction=2.0, features=DenseVector([40.0, 19.0, 47.0]), label=2.0, probability=DenseVector([0.0114, 0.0941, 0.367, 0.0177, 0.014, 0.0709, 0.0044, 0.0019, 0.004, 0.3321, 0.0088, 0.0448, 0.028, 0.0007]))
Row(prediction=9.0, features=DenseVector([40.0, 19.0, 48.0]), label=2.0, probability=DenseVector([0.0113, 0.0836, 0.2932, 0.0107, 0.0148, 0.0473, 0.0027, 0.002, 0.0032, 0.4373, 0.009, 0.0537, 0.0308, 0.0003]))
Row(prediction=9.0, features=DenseVector([40.0, 20.0, 48.0]), label=2.0, probability=DenseVector([0.0113, 0.0836, 0.2932, 0.0107, 0.0148, 0.0473, 0.0027, 0.002, 0.0032, 0.4373, 0.009, 0.0537, 0.0308, 0.0003]))
Row(prediction=2.0, features=DenseVector([40.0, 21.0, 47.0]), label=2.0, probability=DenseVector([0.0114, 0.0941, 0.367, 0.0177, 0.014, 0.0709, 0.0044, 0.0019, 0.004, 0.3321, 0.0088, 0.0448, 0.028, 0.0007]))
Row(prediction=9.0, features=DenseVector([40.0, 21.0, 50.0]), label=1.0, probability=DenseVector([0.0116, 0.0828, 0.3063, 0.014, 0.0143, 0.044, 0.0006, 0.0028, 0.004, 0.4245, 0.0091, 0.0554, 0.0298, 0.0009]))
Row(prediction=9.0, features=DenseVector([40.0, 22.0, 44.0]), label=1.0, probability=DenseVector([0.0143, 0.0865, 0.2883, 0.0242, 0.0182, 0.06, 0.0155, 0.0019, 0.005, 0.3834, 0.009, 0.0667, 0.0262, 0.0008]))
Row(prediction=2.0, features=DenseVector([40.0, 22.0, 47.0]), label=2.0, probability=DenseVector([0.0163, 0.0982, 0.4425, 0.0184, 0.0171, 0.0717, 0.0045, 0.0025, 0.0042, 0.2162, 0.0124, 0.0759, 0.0193, 0.0007]))
Row(prediction=2.0, features=DenseVector([40.0, 22.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=9.0, features=DenseVector([40.0, 23.0, 42.0]), label=2.0, probability=DenseVector([0.0108, 0.0913, 0.1342, 0.0199, 0.0164, 0.0401, 0.0265, 0.0007, 0.0046, 0.5545, 0.0053, 0.0579, 0.0372, 0.0006]))
Row(prediction=2.0, features=DenseVector([40.0, 23.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 23.0, 49.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 23.0, 49.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 23.0, 49.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 23.0, 49.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 23.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 24.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 25.0, 49.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 53.0]), label=2.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 52.0]), label=4.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 49.0]), label=4.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 53.0]), label=4.0, probability=DenseVector([0.0446, 0.1202, 0.4131, 0.0288, 0.0466, 0.0453, 0.003, 0.0094, 0.0153, 0.1331, 0.0274, 0.0973, 0.0155, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 54.0]), label=1.0, probability=DenseVector([0.0473, 0.1162, 0.4166, 0.0292, 0.0494, 0.0463, 0.003, 0.0098, 0.0154, 0.133, 0.0299, 0.0883, 0.0155, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0515, 0.1073, 0.3864, 0.037, 0.0516, 0.1095, 0.0027, 0.0117, 0.0145, 0.0923, 0.0353, 0.0807, 0.0166, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0515, 0.1073, 0.3864, 0.037, 0.0516, 0.1095, 0.0027, 0.0117, 0.0145, 0.0923, 0.0353, 0.0807, 0.0166, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=1.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 55.0]), label=1.0, probability=DenseVector([0.0531, 0.1008, 0.3674, 0.0417, 0.057, 0.1028, 0.0031, 0.0125, 0.0184, 0.1038, 0.0357, 0.0804, 0.0206, 0.0028]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 49.0]), label=12.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=9.0, features=DenseVector([40.0, 37.0, 46.0]), label=1.0, probability=DenseVector([0.0296, 0.0502, 0.2074, 0.1116, 0.0291, 0.1444, 0.0241, 0.0035, 0.0095, 0.2224, 0.0144, 0.1307, 0.0179, 0.0051]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=4.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 54.0]), label=4.0, probability=DenseVector([0.0541, 0.0989, 0.3682, 0.0439, 0.0552, 0.113, 0.003, 0.0133, 0.0165, 0.0967, 0.0354, 0.0793, 0.0192, 0.0033]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 52.0]), label=10.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 52.0]), label=4.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=9.0, features=DenseVector([40.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.0505, 0.0716, 0.011, 0.0085, 0.0417, 0.0198, 0.1295, 0.0034, 0.0083, 0.473, 0.0375, 0.1217, 0.0235, 0.0001]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=4.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=12.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 60.0]), label=12.0, probability=DenseVector([0.044, 0.0823, 0.2044, 0.1133, 0.0436, 0.3138, 0.0035, 0.0128, 0.0215, 0.0795, 0.0395, 0.0206, 0.0172, 0.0039]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 49.0]), label=1.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 46.0]), label=4.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 47.0]), label=10.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=9.0, features=DenseVector([40.0, 42.0, 45.0]), label=4.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 43.0]), label=3.0, probability=DenseVector([0.034, 0.0447, 0.1369, 0.1761, 0.0373, 0.0772, 0.0704, 0.0088, 0.0186, 0.291, 0.0158, 0.0494, 0.0169, 0.0231]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 54.0]), label=8.0, probability=DenseVector([0.0326, 0.0473, 0.2065, 0.2826, 0.0308, 0.1776, 0.0063, 0.0264, 0.0403, 0.0847, 0.0173, 0.0172, 0.0161, 0.0142]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 48.0, 50.0]), label=3.0, probability=DenseVector([0.0122, 0.0334, 0.1921, 0.2947, 0.0191, 0.1669, 0.0257, 0.0143, 0.0227, 0.1403, 0.0092, 0.0193, 0.0129, 0.0373]))
Row(prediction=9.0, features=DenseVector([41.0, 4.0, 36.0]), label=1.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 9.0, 37.0]), label=1.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 11.0, 27.0]), label=1.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 14.0, 40.0]), label=1.0, probability=DenseVector([0.0203, 0.1165, 0.0168, 0.0077, 0.0225, 0.0359, 0.0737, 0.0013, 0.0084, 0.5778, 0.0102, 0.0684, 0.0405, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 15.0, 44.0]), label=2.0, probability=DenseVector([0.0136, 0.0832, 0.311, 0.0234, 0.0166, 0.06, 0.0151, 0.0019, 0.0048, 0.3854, 0.0088, 0.0484, 0.0271, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 16.0, 41.0]), label=1.0, probability=DenseVector([0.0186, 0.1057, 0.0563, 0.0087, 0.0223, 0.0228, 0.0611, 0.0013, 0.0073, 0.5815, 0.0094, 0.0645, 0.0404, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 16.0, 44.0]), label=2.0, probability=DenseVector([0.0136, 0.0832, 0.311, 0.0234, 0.0166, 0.06, 0.0151, 0.0019, 0.0048, 0.3854, 0.0088, 0.0484, 0.0271, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 17.0, 42.0]), label=2.0, probability=DenseVector([0.0101, 0.0912, 0.1462, 0.0192, 0.0154, 0.0403, 0.026, 0.0007, 0.0044, 0.561, 0.0051, 0.0422, 0.0377, 0.0006]))
Row(prediction=9.0, features=DenseVector([41.0, 17.0, 44.0]), label=2.0, probability=DenseVector([0.0136, 0.0832, 0.311, 0.0234, 0.0166, 0.06, 0.0151, 0.0019, 0.0048, 0.3854, 0.0088, 0.0484, 0.0271, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 18.0, 43.0]), label=2.0, probability=DenseVector([0.0132, 0.0854, 0.2061, 0.0238, 0.0177, 0.0582, 0.0207, 0.0017, 0.0059, 0.4765, 0.0078, 0.0505, 0.0316, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 18.0, 44.0]), label=2.0, probability=DenseVector([0.0136, 0.0832, 0.311, 0.0234, 0.0166, 0.06, 0.0151, 0.0019, 0.0048, 0.3854, 0.0088, 0.0484, 0.0271, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 18.0, 54.0]), label=4.0, probability=DenseVector([0.0186, 0.0752, 0.202, 0.0116, 0.0219, 0.0294, 0.0017, 0.0031, 0.0047, 0.559, 0.0117, 0.0301, 0.0308, 0.0002]))
Row(prediction=9.0, features=DenseVector([41.0, 19.0, 43.0]), label=2.0, probability=DenseVector([0.0132, 0.0854, 0.2061, 0.0238, 0.0177, 0.0582, 0.0207, 0.0017, 0.0059, 0.4765, 0.0078, 0.0505, 0.0316, 0.0008]))
Row(prediction=9.0, features=DenseVector([41.0, 21.0, 49.0]), label=2.0, probability=DenseVector([0.0116, 0.0828, 0.3063, 0.014, 0.0143, 0.044, 0.0006, 0.0028, 0.004, 0.4245, 0.0091, 0.0554, 0.0298, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 22.0, 46.0]), label=12.0, probability=DenseVector([0.0132, 0.0896, 0.3417, 0.0255, 0.0159, 0.0721, 0.0078, 0.0019, 0.0047, 0.3162, 0.0089, 0.0774, 0.0242, 0.001]))
Row(prediction=2.0, features=DenseVector([41.0, 22.0, 48.0]), label=2.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([41.0, 22.0, 49.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.023, 0.1023, 0.5457, 0.0126, 0.0227, 0.0492, 0.003, 0.0033, 0.0038, 0.0659, 0.0178, 0.1404, 0.0101, 0.0003]))
Row(prediction=2.0, features=DenseVector([41.0, 23.0, 49.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 23.0, 49.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 23.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 23.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 23.0, 51.0]), label=12.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 24.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 49.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 54.0]), label=4.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 55.0]), label=4.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=4.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 47.0]), label=1.0, probability=DenseVector([0.035, 0.0664, 0.302, 0.0826, 0.0296, 0.1297, 0.0196, 0.0041, 0.0091, 0.1784, 0.0173, 0.107, 0.0156, 0.0036]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 56.0]), label=1.0, probability=DenseVector([0.0531, 0.1008, 0.3674, 0.0417, 0.057, 0.1028, 0.0031, 0.0125, 0.0184, 0.1038, 0.0357, 0.0804, 0.0206, 0.0028]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 53.0]), label=4.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.0306, 0.0637, 0.3123, 0.0895, 0.0288, 0.1403, 0.0182, 0.0041, 0.0083, 0.1593, 0.0173, 0.1093, 0.0142, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 48.0]), label=1.0, probability=DenseVector([0.0288, 0.0926, 0.5247, 0.0213, 0.0275, 0.0641, 0.0044, 0.0096, 0.0079, 0.0615, 0.0219, 0.1241, 0.0105, 0.0011]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=10.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=10.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=10.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=10.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 47.0]), label=2.0, probability=DenseVector([0.0281, 0.0467, 0.1868, 0.1525, 0.0265, 0.2698, 0.0191, 0.0054, 0.0112, 0.156, 0.0184, 0.0607, 0.0134, 0.0053]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=4.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 53.0]), label=4.0, probability=DenseVector([0.0428, 0.0806, 0.2144, 0.1107, 0.039, 0.3383, 0.0029, 0.0134, 0.018, 0.0634, 0.0406, 0.0175, 0.0132, 0.0053]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 47.0]), label=4.0, probability=DenseVector([0.0247, 0.0439, 0.1889, 0.1579, 0.0258, 0.2752, 0.0218, 0.0055, 0.0107, 0.1455, 0.0176, 0.0642, 0.0129, 0.0054]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=9.0, features=DenseVector([41.0, 44.0, 44.0]), label=3.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 40.0]), label=10.0, probability=DenseVector([0.0641, 0.0983, 0.0219, 0.0273, 0.0426, 0.002, 0.2602, 0.0028, 0.0135, 0.3925, 0.0297, 0.0266, 0.0157, 0.0028]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 43.0]), label=4.0, probability=DenseVector([0.0335, 0.0436, 0.1344, 0.1822, 0.0367, 0.0772, 0.0791, 0.0087, 0.0184, 0.2809, 0.0161, 0.0499, 0.0163, 0.0231]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=9.0, features=DenseVector([41.0, 46.0, 44.0]), label=4.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=9.0, features=DenseVector([41.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=9.0, features=DenseVector([41.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=3.0, features=DenseVector([41.0, 48.0, 47.0]), label=4.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([41.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=6.0, features=DenseVector([41.0, 49.0, 39.0]), label=1.0, probability=DenseVector([0.0548, 0.067, 0.0374, 0.0498, 0.0294, 0.0002, 0.5, 0.0082, 0.0496, 0.1437, 0.0146, 0.0171, 0.0257, 0.0027]))
Row(prediction=3.0, features=DenseVector([41.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([41.0, 50.0, 51.0]), label=1.0, probability=DenseVector([0.0122, 0.0334, 0.1921, 0.2947, 0.0191, 0.1669, 0.0257, 0.0143, 0.0227, 0.1403, 0.0092, 0.0193, 0.0129, 0.0373]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 38.0]), label=1.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 42.0]), label=2.0, probability=DenseVector([0.0097, 0.074, 0.1817, 0.019, 0.0134, 0.02, 0.023, 0.0004, 0.0036, 0.5295, 0.0038, 0.0887, 0.0327, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 44.0]), label=2.0, probability=DenseVector([0.0077, 0.0718, 0.2981, 0.0211, 0.0117, 0.021, 0.0153, 0.0004, 0.0023, 0.4202, 0.0034, 0.0992, 0.0272, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 44.0]), label=2.0, probability=DenseVector([0.0077, 0.0718, 0.2981, 0.0211, 0.0117, 0.021, 0.0153, 0.0004, 0.0023, 0.4202, 0.0034, 0.0992, 0.0272, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 17.0, 44.0]), label=2.0, probability=DenseVector([0.0077, 0.0718, 0.2981, 0.0211, 0.0117, 0.021, 0.0153, 0.0004, 0.0023, 0.4202, 0.0034, 0.0992, 0.0272, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 17.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 18.0, 44.0]), label=2.0, probability=DenseVector([0.0077, 0.0718, 0.2981, 0.0211, 0.0117, 0.021, 0.0153, 0.0004, 0.0023, 0.4202, 0.0034, 0.0992, 0.0272, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 18.0, 44.0]), label=2.0, probability=DenseVector([0.0077, 0.0718, 0.2981, 0.0211, 0.0117, 0.021, 0.0153, 0.0004, 0.0023, 0.4202, 0.0034, 0.0992, 0.0272, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 19.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 39.0]), label=1.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 43.0]), label=1.0, probability=DenseVector([0.0097, 0.0745, 0.2084, 0.019, 0.0138, 0.0203, 0.0206, 0.0005, 0.0034, 0.5019, 0.0042, 0.092, 0.0312, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 49.0]), label=2.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 21.0, 47.0]), label=2.0, probability=DenseVector([0.0066, 0.0873, 0.3996, 0.02, 0.0095, 0.0347, 0.0018, 0.0004, 0.0016, 0.3511, 0.004, 0.0557, 0.027, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 22.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 50.0]), label=12.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 50.0]), label=12.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 51.0]), label=12.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 57.0]), label=8.0, probability=DenseVector([0.0349, 0.1412, 0.3928, 0.0168, 0.0429, 0.0178, 0.0027, 0.0042, 0.0106, 0.1798, 0.0229, 0.1126, 0.0208, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.029, 0.0972, 0.5605, 0.0192, 0.0274, 0.0226, 0.0006, 0.009, 0.012, 0.0626, 0.019, 0.1329, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.029, 0.0972, 0.5605, 0.0192, 0.0274, 0.0226, 0.0006, 0.009, 0.012, 0.0626, 0.019, 0.1329, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=12.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 52.0]), label=4.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 57.0]), label=1.0, probability=DenseVector([0.0438, 0.1132, 0.3786, 0.035, 0.0528, 0.0703, 0.0031, 0.0097, 0.0169, 0.1256, 0.0299, 0.0986, 0.0207, 0.0019]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.0256, 0.0676, 0.3582, 0.0907, 0.0242, 0.0948, 0.0158, 0.0017, 0.0051, 0.1597, 0.0118, 0.1295, 0.0121, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 49.0]), label=4.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 50.0]), label=4.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 51.0]), label=4.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 51.0]), label=10.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 53.0]), label=4.0, probability=DenseVector([0.0426, 0.1114, 0.3885, 0.0324, 0.0482, 0.0948, 0.0025, 0.0102, 0.0134, 0.1094, 0.031, 0.0955, 0.0167, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 54.0]), label=12.0, probability=DenseVector([0.0448, 0.1113, 0.3794, 0.0372, 0.0509, 0.0805, 0.0029, 0.0105, 0.0151, 0.1185, 0.0297, 0.0976, 0.0193, 0.0025]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 54.0]), label=4.0, probability=DenseVector([0.0448, 0.1113, 0.3794, 0.0372, 0.0509, 0.0805, 0.0029, 0.0105, 0.0151, 0.1185, 0.0297, 0.0976, 0.0193, 0.0025]))
Row(prediction=9.0, features=DenseVector([42.0, 38.0, 46.0]), label=2.0, probability=DenseVector([0.0257, 0.0399, 0.2277, 0.14, 0.0262, 0.1046, 0.0282, 0.0011, 0.0079, 0.2469, 0.0079, 0.1226, 0.0166, 0.0045]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 50.0]), label=10.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=9.0, features=DenseVector([42.0, 39.0, 42.0]), label=3.0, probability=DenseVector([0.0251, 0.0452, 0.1178, 0.1058, 0.0313, 0.0627, 0.0596, 0.0011, 0.0079, 0.409, 0.0081, 0.1018, 0.021, 0.0036]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 53.0]), label=4.0, probability=DenseVector([0.0353, 0.0871, 0.3342, 0.0694, 0.0389, 0.1726, 0.0042, 0.0095, 0.0165, 0.1208, 0.0305, 0.062, 0.0157, 0.0033]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 49.0]), label=12.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0145, 0.0505, 0.3577, 0.1985, 0.017, 0.1433, 0.0054, 0.0115, 0.0199, 0.0876, 0.009, 0.0684, 0.0096, 0.0071]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 40.0]), label=4.0, probability=DenseVector([0.0473, 0.0754, 0.0213, 0.0222, 0.0345, 0.0013, 0.1781, 0.0008, 0.0084, 0.5326, 0.0149, 0.0473, 0.0155, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=2.0, features=DenseVector([42.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.009, 0.042, 0.2462, 0.2303, 0.0212, 0.0925, 0.0417, 0.0069, 0.0167, 0.2184, 0.0057, 0.0535, 0.0141, 0.0018]))
Row(prediction=9.0, features=DenseVector([42.0, 49.0, 49.0]), label=3.0, probability=DenseVector([0.0089, 0.0435, 0.2354, 0.2145, 0.0222, 0.0844, 0.0473, 0.0061, 0.0165, 0.2453, 0.0065, 0.053, 0.015, 0.0015]))
Row(prediction=9.0, features=DenseVector([43.0, 14.0, 40.0]), label=1.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 15.0, 40.0]), label=1.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 18.0, 37.0]), label=1.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 18.0, 45.0]), label=2.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 19.0, 40.0]), label=1.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 21.0, 48.0]), label=2.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 31.0, 45.0]), label=12.0, probability=DenseVector([0.0294, 0.0507, 0.2014, 0.094, 0.0264, 0.06, 0.0309, 0.0008, 0.0072, 0.3047, 0.008, 0.1641, 0.0192, 0.0033]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 54.0]), label=1.0, probability=DenseVector([0.0361, 0.1272, 0.4177, 0.0244, 0.0432, 0.0239, 0.0029, 0.0076, 0.0146, 0.1506, 0.0229, 0.1134, 0.0152, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 48.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 52.0]), label=4.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 49.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 51.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 49.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 52.0]), label=10.0, probability=DenseVector([0.0351, 0.0808, 0.3798, 0.07, 0.0338, 0.1734, 0.0032, 0.0097, 0.014, 0.0846, 0.0294, 0.0711, 0.0118, 0.0033]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 52.0]), label=10.0, probability=DenseVector([0.0351, 0.0808, 0.3798, 0.07, 0.0338, 0.1734, 0.0032, 0.0097, 0.014, 0.0846, 0.0294, 0.0711, 0.0118, 0.0033]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 55.0]), label=1.0, probability=DenseVector([0.0365, 0.0889, 0.3242, 0.072, 0.0435, 0.1481, 0.0047, 0.009, 0.02, 0.1369, 0.0294, 0.0651, 0.0197, 0.002]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 43.0]), label=1.0, probability=DenseVector([0.0307, 0.0395, 0.1372, 0.1258, 0.0377, 0.0487, 0.0711, 0.001, 0.0097, 0.3896, 0.0122, 0.0732, 0.0183, 0.0056]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([44.0, 17.0, 38.0]), label=1.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 36.0]), label=1.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 18.0, 42.0]), label=1.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 38.0]), label=1.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 19.0, 43.0]), label=1.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 21.0, 47.0]), label=1.0, probability=DenseVector([0.0036, 0.0856, 0.4044, 0.0026, 0.0078, 0.0041, 0.0006, 0.0002, 0.0007, 0.3398, 0.0022, 0.1238, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 23.0, 37.0]), label=1.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 48.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 23.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0204, 0.1251, 0.4986, 0.012, 0.0231, 0.0171, 0.0015, 0.004, 0.0075, 0.1257, 0.0132, 0.1366, 0.0153, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0204, 0.1251, 0.4986, 0.012, 0.0231, 0.0171, 0.0015, 0.004, 0.0075, 0.1257, 0.0132, 0.1366, 0.0153, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 35.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 49.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([44.0, 50.0, 47.0]), label=1.0, probability=DenseVector([0.0078, 0.0355, 0.2333, 0.119, 0.0214, 0.0615, 0.0526, 0.0021, 0.0091, 0.2273, 0.0034, 0.2121, 0.0135, 0.0013]))
Row(prediction=9.0, features=DenseVector([45.0, 14.0, 38.0]), label=1.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 16.0, 37.0]), label=1.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 17.0, 42.0]), label=1.0, probability=DenseVector([0.0075, 0.0725, 0.184, 0.0116, 0.012, 0.0009, 0.0213, 0.0003, 0.0026, 0.5217, 0.0019, 0.1325, 0.0309, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 17.0, 47.0]), label=1.0, probability=DenseVector([0.0036, 0.0856, 0.4044, 0.0026, 0.0078, 0.0041, 0.0006, 0.0002, 0.0007, 0.3398, 0.0022, 0.1238, 0.0246, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 39.0]), label=1.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 39.0]), label=1.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 21.0, 43.0]), label=12.0, probability=DenseVector([0.0075, 0.073, 0.2108, 0.0116, 0.0124, 0.0012, 0.019, 0.0003, 0.0024, 0.4942, 0.0022, 0.1358, 0.0294, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 22.0, 43.0]), label=1.0, probability=DenseVector([0.0104, 0.0725, 0.185, 0.0177, 0.017, 0.0011, 0.0264, 0.0003, 0.0036, 0.5146, 0.0025, 0.1195, 0.0291, 0.0002]))
Row(prediction=9.0, features=DenseVector([45.0, 23.0, 39.0]), label=1.0, probability=DenseVector([0.008, 0.0669, 0.0142, 0.009, 0.0133, 0.001, 0.0261, 0.0002, 0.0031, 0.5008, 0.0017, 0.328, 0.0278, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 23.0, 45.0]), label=1.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 38.0, 59.0]), label=1.0, probability=DenseVector([0.0316, 0.09, 0.307, 0.0696, 0.041, 0.1473, 0.0057, 0.0082, 0.0198, 0.1671, 0.0262, 0.0631, 0.0213, 0.002]))
Row(prediction=9.0, features=DenseVector([45.0, 44.0, 44.0]), label=12.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=9.0, features=DenseVector([46.0, 11.0, 31.0]), label=12.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 17.0, 37.0]), label=1.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 53.0]), label=12.0, probability=DenseVector([0.03, 0.1424, 0.3756, 0.0145, 0.0405, 0.017, 0.0037, 0.0034, 0.0103, 0.21, 0.0197, 0.1105, 0.0224, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.0107, 0.0446, 0.2966, 0.0532, 0.0179, 0.0748, 0.0105, 0.0011, 0.0049, 0.129, 0.0064, 0.3397, 0.0098, 0.0007]))
Row(prediction=9.0, features=DenseVector([47.0, 17.0, 40.0]), label=1.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 20.0, 45.0]), label=12.0, probability=DenseVector([0.0043, 0.0732, 0.3683, 0.0101, 0.0105, 0.0027, 0.0072, 0.0002, 0.0011, 0.3506, 0.0015, 0.1481, 0.022, 0.0002]))
Row(prediction=9.0, features=DenseVector([47.0, 21.0, 40.0]), label=1.0, probability=DenseVector([0.0058, 0.0699, 0.0285, 0.0063, 0.0088, 0.0111, 0.0174, 0.0002, 0.0017, 0.4524, 0.0016, 0.3691, 0.0271, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 36.0, 50.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 40.0, 50.0]), label=1.0, probability=DenseVector([0.0141, 0.0577, 0.3523, 0.16, 0.0213, 0.1267, 0.011, 0.0104, 0.0199, 0.1286, 0.0086, 0.0698, 0.013, 0.0066]))
Row(prediction=9.0, features=DenseVector([47.0, 46.0, 34.0]), label=1.0, probability=DenseVector([0.035, 0.0968, 0.0098, 0.0117, 0.016, 0.0002, 0.2196, 0.0022, 0.0046, 0.5385, 0.0048, 0.0354, 0.0249, 0.0004]))
Row(prediction=9.0, features=DenseVector([47.0, 48.0, 44.0]), label=12.0, probability=DenseVector([0.0126, 0.0346, 0.1468, 0.0862, 0.0288, 0.0128, 0.0789, 0.0004, 0.0069, 0.3677, 0.0031, 0.2003, 0.0195, 0.0014]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 37.0]), label=1.0, probability=DenseVector([0.0028, 0.0476, 0.0096, 0.0009, 0.0149, 0.0009, 0.033, 0.0001, 0.0008, 0.3872, 0.0016, 0.4795, 0.0211, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 42.0]), label=1.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 45.0, 44.0]), label=1.0, probability=DenseVector([0.0094, 0.0384, 0.0576, 0.0247, 0.051, 0.0068, 0.1122, 0.0003, 0.004, 0.3538, 0.0068, 0.3214, 0.0113, 0.0022]))
Row(prediction=9.0, features=DenseVector([49.0, 26.0, 43.0]), label=1.0, probability=DenseVector([0.0007, 0.1136, 0.0535, 0.0018, 0.0076, 0.0003, 0.0009, 0.0, 0.0003, 0.6252, 0.0003, 0.1683, 0.0274, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0138, 0.1192, 0.0988, 0.025, 0.0436, 0.0881, 0.0194, 0.0078, 0.0116, 0.3824, 0.0098, 0.1394, 0.0379, 0.0032]))
Row(prediction=9.0, features=DenseVector([49.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0036, 0.1276, 0.1458, 0.0048, 0.0384, 0.0024, 0.0259, 0.0004, 0.004, 0.4305, 0.0027, 0.1765, 0.0374, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 28.0, 42.0]), label=1.0, probability=DenseVector([0.001, 0.1183, 0.0538, 0.0031, 0.0093, 0.0003, 0.0016, 0.0, 0.0005, 0.5871, 0.0004, 0.1961, 0.0286, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 29.0, 44.0]), label=1.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 29.0, 44.0]), label=1.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 29.0, 44.0]), label=1.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 30.0, 42.0]), label=1.0, probability=DenseVector([0.0016, 0.0442, 0.045, 0.0014, 0.0142, 0.0, 0.0104, 0.0002, 0.0004, 0.1569, 0.0003, 0.7186, 0.0069, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 30.0, 42.0]), label=1.0, probability=DenseVector([0.0016, 0.0442, 0.045, 0.0014, 0.0142, 0.0, 0.0104, 0.0002, 0.0004, 0.1569, 0.0003, 0.7186, 0.0069, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 30.0, 43.0]), label=1.0, probability=DenseVector([0.0016, 0.0459, 0.0462, 0.0014, 0.0139, 0.0, 0.0091, 0.0002, 0.0004, 0.1523, 0.0003, 0.722, 0.0068, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 31.0, 43.0]), label=1.0, probability=DenseVector([0.0016, 0.0459, 0.0462, 0.0014, 0.0139, 0.0, 0.0091, 0.0002, 0.0004, 0.1523, 0.0003, 0.722, 0.0068, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 46.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=6.0, features=DenseVector([50.0, 54.0, 37.0]), label=1.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=9.0, features=DenseVector([51.0, 27.0, 45.0]), label=1.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 28.0, 44.0]), label=1.0, probability=DenseVector([0.0004, 0.1052, 0.0577, 0.0029, 0.0102, 0.0003, 0.0027, 0.0, 0.0004, 0.5557, 0.0003, 0.2397, 0.0245, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 29.0, 43.0]), label=1.0, probability=DenseVector([0.0007, 0.1184, 0.0556, 0.0028, 0.0096, 0.0003, 0.002, 0.0, 0.0004, 0.5629, 0.0003, 0.2216, 0.0253, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 29.0, 43.0]), label=1.0, probability=DenseVector([0.0007, 0.1184, 0.0556, 0.0028, 0.0096, 0.0003, 0.002, 0.0, 0.0004, 0.5629, 0.0003, 0.2216, 0.0253, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 30.0, 43.0]), label=1.0, probability=DenseVector([0.0016, 0.0459, 0.0462, 0.0014, 0.0139, 0.0, 0.0091, 0.0002, 0.0004, 0.1523, 0.0003, 0.722, 0.0068, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 30.0, 43.0]), label=1.0, probability=DenseVector([0.0016, 0.0459, 0.0462, 0.0014, 0.0139, 0.0, 0.0091, 0.0002, 0.0004, 0.1523, 0.0003, 0.722, 0.0068, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 31.0, 36.0]), label=1.0, probability=DenseVector([0.0104, 0.0782, 0.0059, 0.003, 0.0143, 0.0009, 0.0509, 0.0015, 0.001, 0.634, 0.0017, 0.1536, 0.0444, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 31.0, 37.0]), label=1.0, probability=DenseVector([0.0028, 0.0476, 0.0096, 0.0009, 0.0149, 0.0009, 0.033, 0.0001, 0.0008, 0.3872, 0.0016, 0.4795, 0.0211, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 43.0, 31.0]), label=1.0, probability=DenseVector([0.0266, 0.111, 0.0025, 0.0042, 0.014, 0.0006, 0.1567, 0.0024, 0.0018, 0.5939, 0.002, 0.0569, 0.0274, 0.0001]))
Row(prediction=9.0, features=DenseVector([52.0, 28.0, 42.0]), label=1.0, probability=DenseVector([0.001, 0.1183, 0.0538, 0.0031, 0.0093, 0.0003, 0.0016, 0.0, 0.0005, 0.5871, 0.0004, 0.1961, 0.0286, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 41.0, 32.0]), label=1.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 42.0, 29.0]), label=1.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 28.0, 33.0]), label=3.0, probability=DenseVector([0.008, 0.0823, 0.0047, 0.0035, 0.0105, 0.0009, 0.0382, 0.0016, 0.0014, 0.7189, 0.0012, 0.0724, 0.0565, 0.0]))
Row(prediction=9.0, features=DenseVector([56.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([57.0, 19.0, 46.0]), label=1.0, probability=DenseVector([0.0004, 0.1041, 0.048, 0.0017, 0.0087, 0.0003, 0.0016, 0.0, 0.0003, 0.6168, 0.0003, 0.1902, 0.0276, 0.0]))
Row(prediction=9.0, features=DenseVector([61.0, 12.0, 36.0]), label=4.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=1.0, features=DenseVector([0.0, 29.0, 32.0]), label=10.0, probability=DenseVector([0.2415, 0.2586, 0.0, 0.001, 0.1777, 0.0, 0.0251, 0.1563, 0.0514, 0.0008, 0.0548, 0.0001, 0.0327, 0.0]))
Row(prediction=1.0, features=DenseVector([0.0, 31.0, 28.0]), label=4.0, probability=DenseVector([0.1521, 0.1986, 0.0, 0.0004, 0.1933, 0.0, 0.015, 0.1964, 0.1248, 0.0, 0.0825, 0.0, 0.0368, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 32.0, 36.0]), label=10.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 33.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 34.0, 22.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 34.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 34.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 34.0, 39.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 28.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 27.0]), label=1.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 27.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 24.0]), label=1.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 29.0]), label=10.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 30.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 31.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 26.0]), label=10.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 37.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 43.0, 28.0]), label=10.0, probability=DenseVector([0.269, 0.0248, 0.0, 0.0, 0.2673, 0.0, 0.0748, 0.0366, 0.0259, 0.0035, 0.2808, 0.0, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 30.0]), label=10.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 30.0]), label=10.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 33.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 33.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 43.0, 34.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 44.0, 32.0]), label=10.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 44.0, 35.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 45.0, 27.0]), label=10.0, probability=DenseVector([0.2607, 0.0242, 0.0, 0.0, 0.2644, 0.0, 0.0819, 0.0356, 0.0258, 0.0027, 0.2875, 0.0, 0.0171, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 45.0, 39.0]), label=10.0, probability=DenseVector([0.3043, 0.019, 0.0, 0.0, 0.2298, 0.0, 0.0921, 0.0229, 0.0111, 0.0059, 0.306, 0.0, 0.0089, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 46.0, 35.0]), label=4.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 46.0, 38.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 46.0, 40.0]), label=10.0, probability=DenseVector([0.1604, 0.0203, 0.0, 0.0, 0.1297, 0.0, 0.3839, 0.0195, 0.0112, 0.004, 0.2623, 0.0, 0.0088, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 47.0, 29.0]), label=10.0, probability=DenseVector([0.2479, 0.028, 0.0, 0.0, 0.2506, 0.0, 0.1137, 0.0373, 0.0263, 0.003, 0.2725, 0.0, 0.0207, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 47.0, 38.0]), label=10.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 47.0, 40.0]), label=10.0, probability=DenseVector([0.1563, 0.0206, 0.0, 0.0, 0.1172, 0.0, 0.4165, 0.0166, 0.0117, 0.004, 0.2484, 0.0, 0.0088, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 32.0]), label=10.0, probability=DenseVector([0.159, 0.0231, 0.0, 0.0, 0.1209, 0.0, 0.36, 0.027, 0.0149, 0.0093, 0.2767, 0.0, 0.0092, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 49.0, 38.0]), label=10.0, probability=DenseVector([0.1428, 0.0188, 0.0, 0.0, 0.1071, 0.0, 0.3999, 0.025, 0.0129, 0.0147, 0.2703, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 50.0, 35.0]), label=10.0, probability=DenseVector([0.1292, 0.0128, 0.0, 0.0, 0.0871, 0.0, 0.5168, 0.0235, 0.0159, 0.0087, 0.1926, 0.0005, 0.0128, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 53.0, 44.0]), label=10.0, probability=DenseVector([0.064, 0.0453, 0.0269, 0.0108, 0.0544, 0.0002, 0.5519, 0.0196, 0.0299, 0.0237, 0.1526, 0.0036, 0.0167, 0.0003]))
Row(prediction=6.0, features=DenseVector([0.0, 56.0, 48.0]), label=10.0, probability=DenseVector([0.062, 0.0448, 0.0269, 0.0108, 0.0533, 0.0002, 0.5171, 0.0193, 0.079, 0.0237, 0.1422, 0.0036, 0.0167, 0.0003]))
Row(prediction=0.0, features=DenseVector([1.0, 30.0, 37.0]), label=10.0, probability=DenseVector([0.3211, 0.2418, 0.0, 0.0019, 0.173, 0.0, 0.0446, 0.1038, 0.0313, 0.001, 0.0476, 0.0001, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 33.0, 37.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 33.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 33.0, 42.0]), label=10.0, probability=DenseVector([0.3545, 0.1979, 0.0008, 0.0164, 0.0855, 0.0009, 0.1244, 0.0604, 0.0237, 0.0104, 0.0816, 0.0008, 0.0428, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 41.0]), label=0.0, probability=DenseVector([0.4078, 0.1823, 0.0007, 0.0104, 0.0884, 0.0002, 0.0788, 0.0605, 0.0267, 0.0095, 0.0941, 0.0018, 0.0389, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 28.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 30.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 42.0]), label=4.0, probability=DenseVector([0.4173, 0.1787, 0.0007, 0.0075, 0.0822, 0.0002, 0.0806, 0.0507, 0.0261, 0.0116, 0.1069, 0.0019, 0.0355, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 27.0]), label=4.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 42.0]), label=0.0, probability=DenseVector([0.4437, 0.1642, 0.0003, 0.0035, 0.0891, 0.0002, 0.0813, 0.0432, 0.0193, 0.0111, 0.1157, 0.0006, 0.0279, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 30.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 32.0]), label=10.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 40.0]), label=10.0, probability=DenseVector([0.4912, 0.0537, 0.0, 0.0003, 0.1423, 0.0, 0.0716, 0.0279, 0.0115, 0.0101, 0.1775, 0.0, 0.0138, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 43.0, 29.0]), label=10.0, probability=DenseVector([0.269, 0.0248, 0.0, 0.0, 0.2673, 0.0, 0.0748, 0.0366, 0.0259, 0.0035, 0.2808, 0.0, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 44.0, 27.0]), label=10.0, probability=DenseVector([0.269, 0.0248, 0.0, 0.0, 0.2673, 0.0, 0.0748, 0.0366, 0.0259, 0.0035, 0.2808, 0.0, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 44.0, 33.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 44.0, 34.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 45.0, 36.0]), label=10.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 45.0, 40.0]), label=10.0, probability=DenseVector([0.1685, 0.0203, 0.0, 0.0, 0.1476, 0.0, 0.3384, 0.0221, 0.0115, 0.0041, 0.2775, 0.0, 0.0099, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 46.0, 28.0]), label=10.0, probability=DenseVector([0.2597, 0.0248, 0.0, 0.0, 0.2612, 0.0, 0.0855, 0.037, 0.0258, 0.0033, 0.2857, 0.0, 0.0171, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 46.0, 32.0]), label=10.0, probability=DenseVector([0.3006, 0.0161, 0.0, 0.0, 0.2437, 0.0, 0.0769, 0.0227, 0.0104, 0.0053, 0.3155, 0.0, 0.0088, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 46.0, 34.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 46.0, 37.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 47.0, 35.0]), label=10.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 49.0, 30.0]), label=10.0, probability=DenseVector([0.1497, 0.0216, 0.0, 0.0, 0.1355, 0.0, 0.3854, 0.0302, 0.0145, 0.0065, 0.2464, 0.0, 0.0101, 0.0]))
Row(prediction=6.0, features=DenseVector([1.0, 51.0, 33.0]), label=10.0, probability=DenseVector([0.1328, 0.0127, 0.0, 0.0, 0.0827, 0.0, 0.5569, 0.019, 0.0105, 0.0079, 0.1683, 0.0008, 0.0084, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 31.0, 35.0]), label=10.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 32.0, 33.0]), label=10.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 32.0, 38.0]), label=10.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 29.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 29.0]), label=4.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 41.0]), label=10.0, probability=DenseVector([0.4417, 0.1764, 0.0007, 0.0074, 0.0849, 0.0002, 0.0564, 0.0507, 0.026, 0.0116, 0.1075, 0.0019, 0.0346, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 43.0]), label=10.0, probability=DenseVector([0.3101, 0.1925, 0.0007, 0.0099, 0.0957, 0.0002, 0.1541, 0.0492, 0.0396, 0.0089, 0.0999, 0.0018, 0.0374, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 40.0]), label=4.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 30.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 31.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 31.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 42.0, 30.0]), label=10.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 42.0, 32.0]), label=10.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 42.0, 34.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 42.0, 34.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 43.0, 33.0]), label=0.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([2.0, 44.0, 32.0]), label=0.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 44.0, 36.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([2.0, 45.0, 39.0]), label=10.0, probability=DenseVector([0.3043, 0.019, 0.0, 0.0, 0.2298, 0.0, 0.0921, 0.0229, 0.0111, 0.0059, 0.306, 0.0, 0.0089, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 45.0, 46.0]), label=8.0, probability=DenseVector([0.0832, 0.0775, 0.0161, 0.0084, 0.0608, 0.0002, 0.4768, 0.0312, 0.0385, 0.0145, 0.1477, 0.0029, 0.0419, 0.0003]))
Row(prediction=10.0, features=DenseVector([2.0, 46.0, 34.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 51.0, 33.0]), label=10.0, probability=DenseVector([0.1328, 0.0127, 0.0, 0.0, 0.0827, 0.0, 0.5569, 0.019, 0.0105, 0.0079, 0.1683, 0.0008, 0.0084, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 54.0, 45.0]), label=10.0, probability=DenseVector([0.064, 0.0453, 0.0269, 0.0108, 0.0544, 0.0002, 0.5519, 0.0196, 0.0299, 0.0237, 0.1526, 0.0036, 0.0167, 0.0003]))
Row(prediction=0.0, features=DenseVector([3.0, 33.0, 30.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 33.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 42.0]), label=10.0, probability=DenseVector([0.3579, 0.1942, 0.0007, 0.0173, 0.0855, 0.0002, 0.122, 0.0651, 0.0261, 0.0082, 0.0818, 0.0018, 0.0392, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 23.0]), label=8.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 37.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 40.0]), label=4.0, probability=DenseVector([0.5407, 0.078, 0.0, 0.0025, 0.1387, 0.0, 0.06, 0.0372, 0.0107, 0.0065, 0.1077, 0.0001, 0.0178, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 27.0]), label=10.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 29.0]), label=10.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 26.0]), label=10.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 26.0]), label=10.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 31.0]), label=0.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 28.0]), label=0.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 26.0]), label=10.0, probability=DenseVector([0.2816, 0.0291, 0.0, 0.0, 0.2647, 0.0, 0.0691, 0.0398, 0.0281, 0.0041, 0.2656, 0.0, 0.0179, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 37.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 43.0, 28.0]), label=4.0, probability=DenseVector([0.269, 0.0248, 0.0, 0.0, 0.2673, 0.0, 0.0748, 0.0366, 0.0259, 0.0035, 0.2808, 0.0, 0.0173, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 43.0, 29.0]), label=10.0, probability=DenseVector([0.269, 0.0248, 0.0, 0.0, 0.2673, 0.0, 0.0748, 0.0366, 0.0259, 0.0035, 0.2808, 0.0, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 43.0, 35.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 43.0, 40.0]), label=10.0, probability=DenseVector([0.2403, 0.0321, 0.0, 0.0, 0.1971, 0.0, 0.1867, 0.0333, 0.0098, 0.0149, 0.2761, 0.0, 0.0096, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 43.0, 41.0]), label=10.0, probability=DenseVector([0.216, 0.1179, 0.0024, 0.0013, 0.1183, 0.0, 0.205, 0.0432, 0.022, 0.0203, 0.2353, 0.0007, 0.0177, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 44.0, 32.0]), label=10.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 45.0, 31.0]), label=10.0, probability=DenseVector([0.2942, 0.0215, 0.0, 0.0, 0.2697, 0.0, 0.0629, 0.0252, 0.0129, 0.0042, 0.2973, 0.0, 0.012, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 45.0, 38.0]), label=10.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 46.0, 34.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 47.0, 24.0]), label=10.0, probability=DenseVector([0.2479, 0.028, 0.0, 0.0, 0.2506, 0.0, 0.1137, 0.0373, 0.0263, 0.003, 0.2725, 0.0, 0.0207, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 47.0, 32.0]), label=10.0, probability=DenseVector([0.284, 0.0167, 0.0, 0.0, 0.2363, 0.0, 0.0972, 0.0223, 0.0108, 0.0061, 0.3178, 0.0, 0.0087, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 47.0, 39.0]), label=10.0, probability=DenseVector([0.2867, 0.0203, 0.0, 0.0, 0.2192, 0.0, 0.1159, 0.0238, 0.0116, 0.0072, 0.3064, 0.0, 0.0088, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 48.0, 32.0]), label=10.0, probability=DenseVector([0.159, 0.0231, 0.0, 0.0, 0.1209, 0.0, 0.36, 0.027, 0.0149, 0.0093, 0.2767, 0.0, 0.0092, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 48.0, 35.0]), label=10.0, probability=DenseVector([0.1392, 0.0236, 0.0, 0.0, 0.1117, 0.0, 0.3582, 0.0182, 0.0135, 0.0134, 0.3151, 0.0, 0.0073, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 49.0, 35.0]), label=10.0, probability=DenseVector([0.1339, 0.0238, 0.0, 0.0, 0.1082, 0.0, 0.3597, 0.02, 0.0155, 0.0115, 0.3194, 0.0, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 49.0, 43.0]), label=4.0, probability=DenseVector([0.0687, 0.0452, 0.0264, 0.008, 0.0546, 0.0, 0.5763, 0.0144, 0.0189, 0.0163, 0.1542, 0.0018, 0.014, 0.0011]))
Row(prediction=6.0, features=DenseVector([3.0, 52.0, 36.0]), label=10.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 56.0, 32.0]), label=10.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 59.0, 44.0]), label=10.0, probability=DenseVector([0.0598, 0.0429, 0.0269, 0.0108, 0.0518, 0.0002, 0.4952, 0.0491, 0.0285, 0.0237, 0.1704, 0.0036, 0.0367, 0.0003]))
Row(prediction=0.0, features=DenseVector([4.0, 32.0, 40.0]), label=10.0, probability=DenseVector([0.4629, 0.1136, 0.0, 0.0123, 0.1378, 0.0, 0.0933, 0.0464, 0.013, 0.0079, 0.0898, 0.0001, 0.0231, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 29.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 41.0]), label=0.0, probability=DenseVector([0.3822, 0.1919, 0.0007, 0.0172, 0.0882, 0.0002, 0.0978, 0.0652, 0.0261, 0.0082, 0.0824, 0.0018, 0.0383, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 39.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 31.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 29.0]), label=4.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 30.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 41.0]), label=10.0, probability=DenseVector([0.468, 0.1619, 0.0003, 0.0034, 0.0918, 0.0002, 0.0571, 0.0432, 0.0192, 0.0111, 0.1163, 0.0006, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 33.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 38.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 39.0]), label=10.0, probability=DenseVector([0.3253, 0.0239, 0.0, 0.0, 0.2301, 0.0, 0.0793, 0.027, 0.0135, 0.0072, 0.284, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 40.0]), label=10.0, probability=DenseVector([0.4912, 0.0537, 0.0, 0.0003, 0.1423, 0.0, 0.0716, 0.0279, 0.0115, 0.0101, 0.1775, 0.0, 0.0138, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 41.0]), label=10.0, probability=DenseVector([0.4446, 0.1437, 0.001, 0.0006, 0.0974, 0.0, 0.0802, 0.04, 0.0187, 0.0135, 0.1368, 0.0004, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([4.0, 43.0, 42.0]), label=10.0, probability=DenseVector([0.2154, 0.1213, 0.0024, 0.0014, 0.1118, 0.0, 0.2206, 0.0425, 0.0223, 0.0203, 0.2227, 0.0007, 0.0186, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 44.0, 45.0]), label=4.0, probability=DenseVector([0.1066, 0.0974, 0.0161, 0.0085, 0.0646, 0.0002, 0.4316, 0.0408, 0.0371, 0.0155, 0.1511, 0.003, 0.0273, 0.0003]))
Row(prediction=10.0, features=DenseVector([4.0, 45.0, 36.0]), label=10.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 49.0, 38.0]), label=10.0, probability=DenseVector([0.1428, 0.0188, 0.0, 0.0, 0.1071, 0.0, 0.3999, 0.025, 0.0129, 0.0147, 0.2703, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 50.0, 34.0]), label=10.0, probability=DenseVector([0.1292, 0.0128, 0.0, 0.0, 0.0871, 0.0, 0.5168, 0.0235, 0.0159, 0.0087, 0.1926, 0.0005, 0.0128, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 50.0, 38.0]), label=10.0, probability=DenseVector([0.1292, 0.0128, 0.0, 0.0, 0.0871, 0.0, 0.5168, 0.0235, 0.0159, 0.0087, 0.1926, 0.0005, 0.0128, 0.0]))
Row(prediction=1.0, features=DenseVector([5.0, 28.0, 25.0]), label=7.0, probability=DenseVector([0.1317, 0.2524, 0.0, 0.0003, 0.1842, 0.0, 0.0184, 0.1999, 0.0935, 0.0011, 0.0743, 0.0, 0.0441, 0.0]))
Row(prediction=1.0, features=DenseVector([5.0, 30.0, 24.0]), label=7.0, probability=DenseVector([0.1521, 0.1986, 0.0, 0.0004, 0.1933, 0.0, 0.015, 0.1964, 0.1248, 0.0, 0.0825, 0.0, 0.0368, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 31.0, 33.0]), label=4.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 32.0, 38.0]), label=10.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 31.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 29.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 30.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 40.0]), label=0.0, probability=DenseVector([0.5591, 0.0721, 0.0, 0.0005, 0.1384, 0.0, 0.0435, 0.0335, 0.0101, 0.0085, 0.118, 0.0001, 0.0162, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 29.0]), label=0.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 31.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 28.0]), label=10.0, probability=DenseVector([0.2816, 0.0291, 0.0, 0.0, 0.2647, 0.0, 0.0691, 0.0398, 0.0281, 0.0041, 0.2656, 0.0, 0.0179, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 29.0]), label=10.0, probability=DenseVector([0.2816, 0.0291, 0.0, 0.0, 0.2647, 0.0, 0.0691, 0.0398, 0.0281, 0.0041, 0.2656, 0.0, 0.0179, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 31.0]), label=10.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 30.0]), label=4.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 43.0, 32.0]), label=4.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 34.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 35.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 36.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 38.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 44.0, 30.0]), label=4.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 44.0, 35.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 44.0, 41.0]), label=10.0, probability=DenseVector([0.1357, 0.1065, 0.0024, 0.0013, 0.0969, 0.0, 0.3607, 0.0372, 0.0223, 0.0139, 0.2053, 0.0006, 0.0171, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 45.0, 34.0]), label=4.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 45.0, 37.0]), label=10.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([5.0, 47.0, 30.0]), label=4.0, probability=DenseVector([0.2766, 0.0228, 0.0, 0.0, 0.2591, 0.0, 0.0868, 0.0262, 0.0133, 0.0055, 0.2977, 0.0, 0.0119, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 48.0, 36.0]), label=4.0, probability=DenseVector([0.1456, 0.021, 0.0, 0.0, 0.1112, 0.0, 0.368, 0.0204, 0.0118, 0.0149, 0.2999, 0.0, 0.0073, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 51.0, 32.0]), label=4.0, probability=DenseVector([0.1328, 0.0127, 0.0, 0.0, 0.0827, 0.0, 0.5569, 0.019, 0.0105, 0.0079, 0.1683, 0.0008, 0.0084, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 52.0, 34.0]), label=10.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 56.0, 41.0]), label=4.0, probability=DenseVector([0.0714, 0.0394, 0.0194, 0.0043, 0.1058, 0.0, 0.5409, 0.0139, 0.0176, 0.0167, 0.1555, 0.0018, 0.013, 0.0002]))
Row(prediction=6.0, features=DenseVector([5.0, 57.0, 40.0]), label=10.0, probability=DenseVector([0.1065, 0.016, 0.0, 0.0, 0.0713, 0.0, 0.6112, 0.0081, 0.0072, 0.0048, 0.1687, 0.0004, 0.0058, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 27.0, 42.0]), label=12.0, probability=DenseVector([0.2633, 0.205, 0.0007, 0.0184, 0.1318, 0.0009, 0.1543, 0.0675, 0.0261, 0.0104, 0.0738, 0.0007, 0.047, 0.0]))
Row(prediction=1.0, features=DenseVector([6.0, 30.0, 28.0]), label=7.0, probability=DenseVector([0.1521, 0.1986, 0.0, 0.0004, 0.1933, 0.0, 0.015, 0.1964, 0.1248, 0.0, 0.0825, 0.0, 0.0368, 0.0]))
Row(prediction=1.0, features=DenseVector([6.0, 30.0, 29.0]), label=0.0, probability=DenseVector([0.1521, 0.1986, 0.0, 0.0004, 0.1933, 0.0, 0.015, 0.1964, 0.1248, 0.0, 0.0825, 0.0, 0.0368, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 27.0]), label=0.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 42.0]), label=10.0, probability=DenseVector([0.3545, 0.1979, 0.0008, 0.0164, 0.0855, 0.0009, 0.1244, 0.0604, 0.0237, 0.0104, 0.0816, 0.0008, 0.0428, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 31.0]), label=7.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 43.0]), label=0.0, probability=DenseVector([0.2882, 0.1962, 0.0007, 0.0137, 0.0873, 0.0002, 0.1722, 0.0617, 0.0414, 0.0075, 0.0858, 0.0017, 0.0434, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 39.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 36.0, 44.0]), label=10.0, probability=DenseVector([0.207, 0.2273, 0.0008, 0.0119, 0.078, 0.0002, 0.2326, 0.0612, 0.0468, 0.0085, 0.0726, 0.002, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 30.0]), label=10.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 39.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 31.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 31.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 31.0]), label=10.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 38.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 40.0]), label=1.0, probability=DenseVector([0.4912, 0.0537, 0.0, 0.0003, 0.1423, 0.0, 0.0716, 0.0279, 0.0115, 0.0101, 0.1775, 0.0, 0.0138, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 42.0]), label=0.0, probability=DenseVector([0.4202, 0.1461, 0.001, 0.0008, 0.0946, 0.0, 0.1045, 0.04, 0.0188, 0.0135, 0.1362, 0.0004, 0.0239, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 43.0, 32.0]), label=4.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 43.0, 32.0]), label=10.0, probability=DenseVector([0.3098, 0.0161, 0.0, 0.0, 0.2498, 0.0, 0.0662, 0.0223, 0.0106, 0.0055, 0.3106, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 43.0, 34.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 43.0, 35.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 43.0, 42.0]), label=4.0, probability=DenseVector([0.2154, 0.1213, 0.0024, 0.0014, 0.1118, 0.0, 0.2206, 0.0425, 0.0223, 0.0203, 0.2227, 0.0007, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 31.0]), label=4.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 33.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 33.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 34.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 34.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 34.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 35.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 44.0, 42.0]), label=10.0, probability=DenseVector([0.1351, 0.11, 0.0024, 0.0014, 0.0904, 0.0, 0.3763, 0.0365, 0.0226, 0.0139, 0.1927, 0.0006, 0.0181, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 45.0, 35.0]), label=10.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 46.0, 36.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 47.0, 33.0]), label=10.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 47.0, 35.0]), label=0.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 47.0, 37.0]), label=10.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 48.0, 31.0]), label=10.0, probability=DenseVector([0.1636, 0.0216, 0.0, 0.0, 0.1508, 0.0, 0.3503, 0.0282, 0.0128, 0.0084, 0.2543, 0.0, 0.01, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 48.0, 36.0]), label=10.0, probability=DenseVector([0.1456, 0.021, 0.0, 0.0, 0.1112, 0.0, 0.368, 0.0204, 0.0118, 0.0149, 0.2999, 0.0, 0.0073, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 50.0, 34.0]), label=10.0, probability=DenseVector([0.1292, 0.0128, 0.0, 0.0, 0.0871, 0.0, 0.5168, 0.0235, 0.0159, 0.0087, 0.1926, 0.0005, 0.0128, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 50.0, 43.0]), label=10.0, probability=DenseVector([0.0687, 0.0452, 0.0264, 0.008, 0.0546, 0.0, 0.5763, 0.0144, 0.0189, 0.0163, 0.1542, 0.0018, 0.014, 0.0011]))
Row(prediction=6.0, features=DenseVector([6.0, 51.0, 35.0]), label=10.0, probability=DenseVector([0.1328, 0.0127, 0.0, 0.0, 0.0827, 0.0, 0.5569, 0.019, 0.0105, 0.0079, 0.1683, 0.0008, 0.0084, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 51.0, 41.0]), label=4.0, probability=DenseVector([0.0735, 0.0398, 0.0194, 0.0043, 0.057, 0.0, 0.5757, 0.0141, 0.0185, 0.0167, 0.166, 0.0018, 0.013, 0.0002]))
Row(prediction=1.0, features=DenseVector([7.0, 30.0, 23.0]), label=1.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 32.0, 28.0]), label=0.0, probability=DenseVector([0.3431, 0.1558, 0.0, 0.0008, 0.165, 0.0, 0.0099, 0.1471, 0.0913, 0.0044, 0.0388, 0.0, 0.0438, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 32.0, 36.0]), label=1.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 27.0]), label=12.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 29.0]), label=4.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 32.0]), label=7.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 40.0]), label=10.0, probability=DenseVector([0.4125, 0.1712, 0.0, 0.001, 0.1376, 0.0, 0.038, 0.0786, 0.0098, 0.0158, 0.0845, 0.0001, 0.0509, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 30.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 28.0]), label=12.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 30.0]), label=10.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 30.0]), label=10.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 31.0]), label=0.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 41.0]), label=4.0, probability=DenseVector([0.4153, 0.1897, 0.0007, 0.0073, 0.0882, 0.0002, 0.0531, 0.0556, 0.0259, 0.0144, 0.107, 0.0019, 0.0407, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 41.0]), label=0.0, probability=DenseVector([0.4289, 0.1865, 0.0007, 0.0071, 0.0841, 0.0002, 0.0506, 0.0529, 0.026, 0.0145, 0.1079, 0.0019, 0.0387, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 29.0]), label=10.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 29.0]), label=1.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 37.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 29.0]), label=7.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 40.0]), label=1.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 28.0]), label=4.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 31.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 31.0]), label=10.0, probability=DenseVector([0.4205, 0.0482, 0.0, 0.0, 0.2464, 0.0, 0.0239, 0.0462, 0.027, 0.0123, 0.1496, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.4172, 0.0391, 0.0, 0.0, 0.2429, 0.0, 0.024, 0.0412, 0.0203, 0.0194, 0.1752, 0.0, 0.0205, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 33.0]), label=10.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 38.0]), label=10.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 42.0, 40.0]), label=10.0, probability=DenseVector([0.4932, 0.0686, 0.0, 0.0, 0.1424, 0.0, 0.0455, 0.0347, 0.0142, 0.0174, 0.1624, 0.0, 0.0214, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 28.0]), label=4.0, probability=DenseVector([0.3957, 0.053, 0.0, 0.0, 0.2317, 0.0, 0.0298, 0.0586, 0.0439, 0.0116, 0.1449, 0.0, 0.0309, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 30.0]), label=4.0, probability=DenseVector([0.4124, 0.0471, 0.0, 0.0, 0.2456, 0.0, 0.0263, 0.0471, 0.0299, 0.0128, 0.1516, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 32.0]), label=4.0, probability=DenseVector([0.4092, 0.038, 0.0, 0.0, 0.2421, 0.0, 0.0264, 0.042, 0.0233, 0.0199, 0.1773, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 31.0]), label=10.0, probability=DenseVector([0.4124, 0.0471, 0.0, 0.0, 0.2456, 0.0, 0.0263, 0.0471, 0.0299, 0.0128, 0.1516, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 32.0]), label=10.0, probability=DenseVector([0.4092, 0.038, 0.0, 0.0, 0.2421, 0.0, 0.0264, 0.042, 0.0233, 0.0199, 0.1773, 0.0, 0.0217, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 33.0]), label=10.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 33.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 34.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 34.0]), label=4.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 37.0]), label=4.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 45.0, 38.0]), label=4.0, probability=DenseVector([0.4163, 0.0383, 0.0, 0.0, 0.2397, 0.0, 0.0246, 0.0426, 0.0238, 0.0207, 0.1729, 0.0, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([7.0, 45.0, 47.0]), label=1.0, probability=DenseVector([0.1157, 0.1174, 0.0164, 0.0084, 0.1225, 0.0002, 0.1594, 0.0552, 0.078, 0.0291, 0.2166, 0.0031, 0.0776, 0.0003]))
Row(prediction=0.0, features=DenseVector([7.0, 46.0, 31.0]), label=4.0, probability=DenseVector([0.4055, 0.0462, 0.0, 0.0, 0.2409, 0.0, 0.0329, 0.0485, 0.0314, 0.012, 0.1564, 0.0, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 46.0, 36.0]), label=10.0, probability=DenseVector([0.4081, 0.0375, 0.0, 0.0, 0.2368, 0.0, 0.0307, 0.043, 0.0237, 0.0203, 0.1799, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 47.0, 29.0]), label=4.0, probability=DenseVector([0.3793, 0.0556, 0.0, 0.0, 0.2186, 0.0, 0.0587, 0.0599, 0.0458, 0.0117, 0.1376, 0.0, 0.0329, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 47.0, 32.0]), label=10.0, probability=DenseVector([0.388, 0.0381, 0.0, 0.0, 0.2323, 0.0, 0.0475, 0.0426, 0.025, 0.021, 0.1854, 0.0, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 48.0, 33.0]), label=10.0, probability=DenseVector([0.323, 0.0504, 0.0002, 0.0, 0.1704, 0.0, 0.1829, 0.0409, 0.0218, 0.0287, 0.152, 0.0007, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 48.0, 35.0]), label=10.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 49.0, 35.0]), label=10.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 50.0, 40.0]), label=10.0, probability=DenseVector([0.1898, 0.0709, 0.0002, 0.0, 0.087, 0.0, 0.4099, 0.0176, 0.0226, 0.0297, 0.1425, 0.0022, 0.0276, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 16.0, 48.0]), label=10.0, probability=DenseVector([0.0881, 0.4094, 0.0025, 0.0247, 0.023, 0.0001, 0.0532, 0.1062, 0.0354, 0.0127, 0.0207, 0.0025, 0.2216, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 31.0, 26.0]), label=7.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 25.0]), label=4.0, probability=DenseVector([0.3431, 0.1558, 0.0, 0.0008, 0.165, 0.0, 0.0099, 0.1471, 0.0913, 0.0044, 0.0388, 0.0, 0.0438, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 35.0]), label=10.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 37.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 28.0]), label=12.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))

IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
`--NotebookApp.iopub_data_rate_limit`.

Current values:
NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)
NotebookApp.rate_limit_window=3.0 (secs)


Row(prediction=3.0, features=DenseVector([27.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0347, 0.1507, 0.1148, 0.2612, 0.0106, 0.0262, 0.0325, 0.1063, 0.1319, 0.0356, 0.0062, 0.0411, 0.0454, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0347, 0.1507, 0.1148, 0.2612, 0.0106, 0.0262, 0.0325, 0.1063, 0.1319, 0.0356, 0.0062, 0.0411, 0.0454, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0347, 0.1507, 0.1148, 0.2612, 0.0106, 0.0262, 0.0325, 0.1063, 0.1319, 0.0356, 0.0062, 0.0411, 0.0454, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 49.0]), label=0.0, probability=DenseVector([0.0372, 0.1461, 0.1256, 0.2462, 0.0121, 0.0252, 0.0329, 0.1086, 0.1329, 0.0374, 0.007, 0.0428, 0.0433, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=6.0, features=DenseVector([27.0, 38.0, 36.0]), label=12.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 50.0]), label=0.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=0.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=7.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 49.0]), label=10.0, probability=DenseVector([0.0372, 0.1461, 0.1256, 0.2462, 0.0121, 0.0252, 0.0329, 0.1086, 0.1329, 0.0374, 0.007, 0.0428, 0.0433, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 49.0]), label=0.0, probability=DenseVector([0.0372, 0.1461, 0.1256, 0.2462, 0.0121, 0.0252, 0.0329, 0.1086, 0.1329, 0.0374, 0.007, 0.0428, 0.0433, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 49.0]), label=0.0, probability=DenseVector([0.0372, 0.1461, 0.1256, 0.2462, 0.0121, 0.0252, 0.0329, 0.1086, 0.1329, 0.0374, 0.007, 0.0428, 0.0433, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 50.0]), label=0.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 50.0]), label=0.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=0.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=0.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 62.0]), label=10.0, probability=DenseVector([0.0307, 0.1721, 0.1052, 0.2013, 0.0103, 0.0237, 0.0236, 0.1094, 0.1543, 0.0623, 0.0073, 0.0489, 0.0495, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 53.0]), label=0.0, probability=DenseVector([0.0464, 0.1374, 0.1605, 0.2148, 0.0106, 0.0173, 0.0295, 0.0936, 0.1454, 0.0453, 0.0074, 0.0519, 0.0369, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 49.0]), label=4.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.0464, 0.1374, 0.1605, 0.2148, 0.0106, 0.0173, 0.0295, 0.0936, 0.1454, 0.0453, 0.0074, 0.0519, 0.0369, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 53.0]), label=0.0, probability=DenseVector([0.0464, 0.1374, 0.1605, 0.2148, 0.0106, 0.0173, 0.0295, 0.0936, 0.1454, 0.0453, 0.0074, 0.0519, 0.0369, 0.003]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 54.0]), label=8.0, probability=DenseVector([0.0467, 0.1419, 0.1585, 0.2017, 0.0112, 0.0173, 0.0293, 0.0928, 0.1471, 0.051, 0.0078, 0.0526, 0.0393, 0.0029]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 48.0]), label=0.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 50.0]), label=0.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([27.0, 42.0, 52.0]), label=0.0, probability=DenseVector([0.0449, 0.1315, 0.17, 0.2179, 0.0107, 0.0173, 0.0314, 0.0911, 0.1463, 0.0451, 0.0075, 0.0494, 0.034, 0.003]))
Row(prediction=6.0, features=DenseVector([27.0, 43.0, 40.0]), label=10.0, probability=DenseVector([0.096, 0.0602, 0.0182, 0.0166, 0.0549, 0.0116, 0.5213, 0.0109, 0.0179, 0.0786, 0.0869, 0.0028, 0.0237, 0.0004]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=4.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([27.0, 44.0, 54.0]), label=0.0, probability=DenseVector([0.0459, 0.1393, 0.1666, 0.1985, 0.0119, 0.0173, 0.0316, 0.0895, 0.1461, 0.0531, 0.0083, 0.0514, 0.0376, 0.003]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 43.0]), label=10.0, probability=DenseVector([0.0592, 0.1045, 0.2137, 0.1168, 0.0307, 0.0132, 0.1345, 0.0673, 0.1128, 0.0574, 0.0232, 0.0302, 0.0298, 0.0066]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 46.0]), label=1.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 49.0]), label=1.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 43.0]), label=10.0, probability=DenseVector([0.0542, 0.0972, 0.2445, 0.1027, 0.0314, 0.0109, 0.1517, 0.0626, 0.1004, 0.061, 0.0228, 0.0254, 0.0236, 0.0116]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=6.0, features=DenseVector([27.0, 47.0, 28.0]), label=0.0, probability=DenseVector([0.1026, 0.061, 0.0137, 0.0107, 0.0419, 0.0001, 0.6268, 0.0128, 0.0195, 0.0451, 0.0471, 0.0025, 0.0158, 0.0004]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 53.0]), label=0.0, probability=DenseVector([0.0304, 0.1223, 0.2123, 0.1755, 0.0164, 0.0109, 0.0518, 0.0761, 0.1318, 0.0804, 0.0091, 0.0398, 0.0331, 0.01]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 46.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 49.0]), label=2.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 49.0]), label=2.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 35.0]), label=0.0, probability=DenseVector([0.0812, 0.0439, 0.0254, 0.0264, 0.0329, 0.0, 0.6451, 0.0181, 0.0355, 0.0433, 0.0248, 0.006, 0.0171, 0.0005]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 40.0]), label=4.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 37.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 38.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0383, 0.0777, 0.2906, 0.1121, 0.0281, 0.0104, 0.1724, 0.0541, 0.0868, 0.0638, 0.0158, 0.0214, 0.0177, 0.0108]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 38.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 39.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 40.0]), label=3.0, probability=DenseVector([0.0673, 0.0328, 0.0728, 0.0413, 0.0293, 0.0001, 0.5654, 0.027, 0.0663, 0.0507, 0.0144, 0.0169, 0.0151, 0.0005]))
Row(prediction=2.0, features=DenseVector([27.0, 52.0, 46.0]), label=3.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=6.0, features=DenseVector([27.0, 53.0, 38.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=3.0, features=DenseVector([28.0, 17.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([28.0, 19.0, 46.0]), label=3.0, probability=DenseVector([0.0189, 0.2395, 0.0305, 0.4152, 0.0069, 0.0391, 0.0473, 0.0413, 0.0444, 0.0237, 0.0027, 0.0152, 0.0725, 0.0027]))
Row(prediction=3.0, features=DenseVector([28.0, 19.0, 47.0]), label=1.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([28.0, 19.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([28.0, 19.0, 48.0]), label=1.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([28.0, 19.0, 49.0]), label=3.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([28.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([28.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([28.0, 20.0, 49.0]), label=3.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([28.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([28.0, 21.0, 50.0]), label=1.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([28.0, 22.0, 45.0]), label=1.0, probability=DenseVector([0.0251, 0.2519, 0.0373, 0.3444, 0.012, 0.0267, 0.0708, 0.0485, 0.0523, 0.0267, 0.0044, 0.0156, 0.0807, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 22.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 22.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 22.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 23.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 23.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 24.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 25.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 29.0, 54.0]), label=8.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=6.0, features=DenseVector([28.0, 30.0, 42.0]), label=12.0, probability=DenseVector([0.0464, 0.1986, 0.0452, 0.1881, 0.0313, 0.0232, 0.2122, 0.0454, 0.0499, 0.0505, 0.0271, 0.0125, 0.0669, 0.0028]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 50.0]), label=9.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 52.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 45.0]), label=0.0, probability=DenseVector([0.0331, 0.2302, 0.0707, 0.2818, 0.0158, 0.017, 0.0774, 0.061, 0.0702, 0.0343, 0.0069, 0.019, 0.0782, 0.0043]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 48.0]), label=1.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 54.0]), label=7.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 44.0]), label=10.0, probability=DenseVector([0.0331, 0.2302, 0.0707, 0.2818, 0.0158, 0.017, 0.0774, 0.061, 0.0702, 0.0343, 0.0069, 0.019, 0.0782, 0.0043]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 54.0]), label=7.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 54.0]), label=1.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 57.0]), label=7.0, probability=DenseVector([0.0249, 0.1785, 0.0883, 0.2611, 0.008, 0.0198, 0.0202, 0.1034, 0.1432, 0.0504, 0.0045, 0.0446, 0.0512, 0.0018]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 44.0]), label=1.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.0347, 0.1507, 0.1148, 0.2612, 0.0106, 0.0262, 0.0325, 0.1063, 0.1319, 0.0356, 0.0062, 0.0411, 0.0454, 0.0028]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0347, 0.1507, 0.1148, 0.2612, 0.0106, 0.0262, 0.0325, 0.1063, 0.1319, 0.0356, 0.0062, 0.0411, 0.0454, 0.0028]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 51.0]), label=8.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 55.0]), label=0.0, probability=DenseVector([0.0309, 0.1769, 0.102, 0.2133, 0.0093, 0.0196, 0.023, 0.1134, 0.1561, 0.0517, 0.0052, 0.0497, 0.0472, 0.0018]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0347, 0.1507, 0.1148, 0.2612, 0.0106, 0.0262, 0.0325, 0.1063, 0.1319, 0.0356, 0.0062, 0.0411, 0.0454, 0.0028]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0347, 0.1507, 0.1148, 0.2612, 0.0106, 0.0262, 0.0325, 0.1063, 0.1319, 0.0356, 0.0062, 0.0411, 0.0454, 0.0028]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 51.0]), label=7.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 51.0]), label=7.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 51.0]), label=7.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=6.0, features=DenseVector([28.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.0842, 0.0548, 0.0151, 0.0157, 0.0562, 0.0115, 0.5269, 0.0109, 0.0149, 0.0768, 0.1074, 0.0025, 0.0225, 0.0004]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 48.0]), label=0.0, probability=DenseVector([0.0385, 0.1452, 0.1325, 0.234, 0.0129, 0.0245, 0.0356, 0.1089, 0.1335, 0.0383, 0.0074, 0.0423, 0.0434, 0.003]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 49.0]), label=10.0, probability=DenseVector([0.0372, 0.1461, 0.1256, 0.2462, 0.0121, 0.0252, 0.0329, 0.1086, 0.1329, 0.0374, 0.007, 0.0428, 0.0433, 0.0028]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=0.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 48.0]), label=0.0, probability=DenseVector([0.0418, 0.1174, 0.1924, 0.2019, 0.0127, 0.0173, 0.0424, 0.0898, 0.1439, 0.0428, 0.0085, 0.0437, 0.0413, 0.004]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 53.0]), label=0.0, probability=DenseVector([0.0464, 0.1374, 0.1605, 0.2148, 0.0106, 0.0173, 0.0295, 0.0936, 0.1454, 0.0453, 0.0074, 0.0519, 0.0369, 0.003]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 55.0]), label=0.0, probability=DenseVector([0.0453, 0.1378, 0.1551, 0.1997, 0.013, 0.0198, 0.0296, 0.0901, 0.1499, 0.0598, 0.0084, 0.0483, 0.0399, 0.003]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 48.0]), label=0.0, probability=DenseVector([0.0418, 0.1174, 0.1924, 0.2019, 0.0127, 0.0173, 0.0424, 0.0898, 0.1439, 0.0428, 0.0085, 0.0437, 0.0413, 0.004]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 52.0]), label=0.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 59.0]), label=3.0, probability=DenseVector([0.0438, 0.1382, 0.1458, 0.1844, 0.0164, 0.0142, 0.0308, 0.0838, 0.1528, 0.0818, 0.0118, 0.048, 0.0461, 0.0022]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 46.0]), label=0.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 50.0]), label=4.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([28.0, 42.0, 54.0]), label=0.0, probability=DenseVector([0.0459, 0.1393, 0.1666, 0.1985, 0.0119, 0.0173, 0.0316, 0.0895, 0.1461, 0.0531, 0.0083, 0.0514, 0.0376, 0.003]))
Row(prediction=3.0, features=DenseVector([28.0, 42.0, 56.0]), label=0.0, probability=DenseVector([0.043, 0.1356, 0.1539, 0.1812, 0.0171, 0.0142, 0.033, 0.0805, 0.1518, 0.084, 0.0123, 0.0468, 0.0445, 0.0022]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 45.0]), label=10.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([28.0, 43.0, 55.0]), label=0.0, probability=DenseVector([0.0446, 0.1352, 0.1633, 0.1965, 0.0137, 0.0198, 0.0319, 0.0868, 0.149, 0.062, 0.0089, 0.0471, 0.0383, 0.003]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 51.0]), label=0.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 45.0]), label=2.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=4.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 49.0]), label=1.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 43.0]), label=2.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 51.0]), label=8.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=6.0, features=DenseVector([28.0, 49.0, 34.0]), label=0.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 42.0]), label=2.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 38.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 38.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 38.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([28.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0383, 0.0777, 0.2906, 0.1121, 0.0281, 0.0104, 0.1724, 0.0541, 0.0868, 0.0638, 0.0158, 0.0214, 0.0177, 0.0108]))
Row(prediction=2.0, features=DenseVector([28.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([28.0, 51.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 36.0]), label=3.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 38.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 38.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 38.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 38.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 39.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([28.0, 52.0, 43.0]), label=2.0, probability=DenseVector([0.0383, 0.0777, 0.2906, 0.1121, 0.0281, 0.0104, 0.1724, 0.0541, 0.0868, 0.0638, 0.0158, 0.0214, 0.0177, 0.0108]))
Row(prediction=2.0, features=DenseVector([28.0, 54.0, 46.0]), label=2.0, probability=DenseVector([0.0354, 0.0794, 0.2977, 0.1114, 0.0264, 0.0042, 0.1436, 0.0582, 0.1006, 0.0683, 0.0169, 0.0262, 0.0187, 0.0129]))
Row(prediction=2.0, features=DenseVector([28.0, 62.0, 45.0]), label=1.0, probability=DenseVector([0.0335, 0.0778, 0.2587, 0.1009, 0.0438, 0.0041, 0.1712, 0.0599, 0.1, 0.075, 0.016, 0.0254, 0.0214, 0.0123]))
Row(prediction=3.0, features=DenseVector([29.0, 19.0, 47.0]), label=1.0, probability=DenseVector([0.0189, 0.2297, 0.0315, 0.4445, 0.0063, 0.0221, 0.0368, 0.0447, 0.0482, 0.024, 0.0026, 0.0161, 0.0718, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 19.0, 50.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0138, 0.1971, 0.0406, 0.4582, 0.0036, 0.0253, 0.0241, 0.0564, 0.064, 0.0263, 0.0016, 0.0211, 0.0665, 0.0013]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0138, 0.1971, 0.0406, 0.4582, 0.0036, 0.0253, 0.0241, 0.0564, 0.064, 0.0263, 0.0016, 0.0211, 0.0665, 0.0013]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0138, 0.1971, 0.0406, 0.4582, 0.0036, 0.0253, 0.0241, 0.0564, 0.064, 0.0263, 0.0016, 0.0211, 0.0665, 0.0013]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0138, 0.1971, 0.0406, 0.4582, 0.0036, 0.0253, 0.0241, 0.0564, 0.064, 0.0263, 0.0016, 0.0211, 0.0665, 0.0013]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 48.0]), label=1.0, probability=DenseVector([0.0138, 0.1971, 0.0406, 0.4582, 0.0036, 0.0253, 0.0241, 0.0564, 0.064, 0.0263, 0.0016, 0.0211, 0.0665, 0.0013]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 48.0]), label=1.0, probability=DenseVector([0.0138, 0.1971, 0.0406, 0.4582, 0.0036, 0.0253, 0.0241, 0.0564, 0.064, 0.0263, 0.0016, 0.0211, 0.0665, 0.0013]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 49.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 49.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 50.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 50.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0138, 0.1971, 0.0406, 0.4582, 0.0036, 0.0253, 0.0241, 0.0564, 0.064, 0.0263, 0.0016, 0.0211, 0.0665, 0.0013]))
Row(prediction=3.0, features=DenseVector([29.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0145, 0.19, 0.0461, 0.4499, 0.0038, 0.0249, 0.0228, 0.0606, 0.07, 0.0275, 0.0018, 0.0228, 0.064, 0.0014]))
Row(prediction=3.0, features=DenseVector([29.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 25.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 57.0]), label=8.0, probability=DenseVector([0.0102, 0.1807, 0.0491, 0.3781, 0.0037, 0.0169, 0.0146, 0.0666, 0.0869, 0.0703, 0.0012, 0.0372, 0.0828, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 51.0]), label=1.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 47.0]), label=0.0, probability=DenseVector([0.0311, 0.2086, 0.072, 0.3361, 0.0123, 0.0155, 0.0486, 0.0628, 0.0737, 0.0349, 0.0065, 0.0209, 0.0726, 0.0044]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=6.0, features=DenseVector([29.0, 31.0, 42.0]), label=4.0, probability=DenseVector([0.0464, 0.1986, 0.0452, 0.1881, 0.0313, 0.0232, 0.2122, 0.0454, 0.0499, 0.0505, 0.0271, 0.0125, 0.0669, 0.0028]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 52.0]), label=7.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 53.0]), label=9.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=7.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 55.0]), label=3.0, probability=DenseVector([0.0102, 0.1874, 0.052, 0.3823, 0.0037, 0.0166, 0.0153, 0.0679, 0.0907, 0.0529, 0.0012, 0.0401, 0.078, 0.0017]))
Row(prediction=6.0, features=DenseVector([29.0, 33.0, 32.0]), label=7.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0121, 0.1833, 0.0562, 0.3974, 0.0036, 0.0187, 0.0161, 0.0781, 0.0985, 0.0357, 0.0017, 0.0343, 0.062, 0.0024]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0121, 0.1833, 0.0562, 0.3974, 0.0036, 0.0187, 0.0161, 0.0781, 0.0985, 0.0357, 0.0017, 0.0343, 0.062, 0.0024]))
Row(prediction=6.0, features=DenseVector([29.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 49.0]), label=7.0, probability=DenseVector([0.029, 0.1583, 0.0924, 0.3195, 0.0087, 0.0334, 0.0262, 0.0959, 0.1144, 0.0324, 0.0049, 0.0329, 0.0492, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0293, 0.1345, 0.1401, 0.2734, 0.0094, 0.0425, 0.0251, 0.0976, 0.1312, 0.0358, 0.0059, 0.0353, 0.0362, 0.0038]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 55.0]), label=2.0, probability=DenseVector([0.0277, 0.1601, 0.1225, 0.2343, 0.0083, 0.0319, 0.0182, 0.1091, 0.1522, 0.0463, 0.0047, 0.044, 0.038, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 47.0]), label=10.0, probability=DenseVector([0.044, 0.1553, 0.1612, 0.1958, 0.0172, 0.021, 0.0523, 0.0952, 0.1218, 0.0408, 0.0102, 0.0326, 0.044, 0.0085]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 48.0]), label=0.0, probability=DenseVector([0.033, 0.1374, 0.1402, 0.257, 0.0112, 0.0378, 0.0303, 0.1015, 0.1302, 0.0366, 0.0066, 0.0356, 0.0387, 0.0038]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0317, 0.1384, 0.1333, 0.2691, 0.0103, 0.0385, 0.0276, 0.1012, 0.1296, 0.0358, 0.0061, 0.0361, 0.0386, 0.0036]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0317, 0.1384, 0.1333, 0.2691, 0.0103, 0.0385, 0.0276, 0.1012, 0.1296, 0.0358, 0.0061, 0.0361, 0.0386, 0.0036]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0317, 0.1384, 0.1333, 0.2691, 0.0103, 0.0385, 0.0276, 0.1012, 0.1296, 0.0358, 0.0061, 0.0361, 0.0386, 0.0036]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 54.0]), label=7.0, probability=DenseVector([0.0292, 0.1512, 0.1335, 0.2385, 0.0083, 0.0371, 0.0173, 0.1098, 0.1476, 0.042, 0.005, 0.0439, 0.0337, 0.003]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 51.0]), label=10.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 51.0]), label=7.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=0.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 54.0]), label=0.0, probability=DenseVector([0.0292, 0.1512, 0.1335, 0.2385, 0.0083, 0.0371, 0.0173, 0.1098, 0.1476, 0.042, 0.005, 0.0439, 0.0337, 0.003]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 54.0]), label=0.0, probability=DenseVector([0.0292, 0.1512, 0.1335, 0.2385, 0.0083, 0.0371, 0.0173, 0.1098, 0.1476, 0.042, 0.005, 0.0439, 0.0337, 0.003]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 56.0]), label=0.0, probability=DenseVector([0.0274, 0.1553, 0.1257, 0.2222, 0.0093, 0.0361, 0.0189, 0.105, 0.1504, 0.0569, 0.0068, 0.0432, 0.0403, 0.0024]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 49.0]), label=0.0, probability=DenseVector([0.0342, 0.1338, 0.144, 0.2541, 0.0118, 0.0375, 0.028, 0.1035, 0.1307, 0.0376, 0.0069, 0.0378, 0.0365, 0.0036]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 50.0]), label=0.0, probability=DenseVector([0.0329, 0.1325, 0.1406, 0.2549, 0.011, 0.0494, 0.0269, 0.1008, 0.1318, 0.0352, 0.0071, 0.0366, 0.0359, 0.0044]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 50.0]), label=0.0, probability=DenseVector([0.0329, 0.1325, 0.1406, 0.2549, 0.011, 0.0494, 0.0269, 0.1008, 0.1318, 0.0352, 0.0071, 0.0366, 0.0359, 0.0044]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 50.0]), label=0.0, probability=DenseVector([0.0329, 0.1325, 0.1406, 0.2549, 0.011, 0.0494, 0.0269, 0.1008, 0.1318, 0.0352, 0.0071, 0.0366, 0.0359, 0.0044]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=0.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=0.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 54.0]), label=0.0, probability=DenseVector([0.0292, 0.1512, 0.1335, 0.2385, 0.0083, 0.0371, 0.0173, 0.1098, 0.1476, 0.042, 0.005, 0.0439, 0.0337, 0.003]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 50.0]), label=0.0, probability=DenseVector([0.0329, 0.1325, 0.1406, 0.2549, 0.011, 0.0494, 0.0269, 0.1008, 0.1318, 0.0352, 0.0071, 0.0366, 0.0359, 0.0044]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=12.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=0.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=0.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 53.0]), label=8.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 53.0]), label=0.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 55.0]), label=0.0, probability=DenseVector([0.0286, 0.1573, 0.1293, 0.2287, 0.0085, 0.0363, 0.0183, 0.1088, 0.1489, 0.0467, 0.0049, 0.0441, 0.0371, 0.0025]))
Row(prediction=2.0, features=DenseVector([29.0, 40.0, 45.0]), label=4.0, probability=DenseVector([0.0484, 0.1131, 0.2289, 0.1577, 0.0213, 0.0178, 0.0556, 0.0739, 0.1257, 0.0586, 0.0151, 0.0378, 0.0355, 0.0105]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 49.0]), label=7.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 49.0]), label=0.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 50.0]), label=0.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 50.0]), label=0.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 53.0]), label=7.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 58.0]), label=3.0, probability=DenseVector([0.0374, 0.1157, 0.1706, 0.2066, 0.017, 0.0331, 0.0255, 0.0785, 0.1495, 0.0763, 0.0111, 0.0387, 0.0362, 0.0038]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=0.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=0.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=0.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=0.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=0.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 54.0]), label=0.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=3.0, features=DenseVector([29.0, 42.0, 52.0]), label=0.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 42.0, 53.0]), label=8.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 42.0, 54.0]), label=4.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=6.0, features=DenseVector([29.0, 43.0, 36.0]), label=4.0, probability=DenseVector([0.0982, 0.0543, 0.0115, 0.0127, 0.0522, 0.0115, 0.5412, 0.0097, 0.0151, 0.072, 0.0978, 0.002, 0.0215, 0.0002]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 47.0]), label=8.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=3.0, features=DenseVector([29.0, 43.0, 52.0]), label=2.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 51.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 51.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 43.0]), label=3.0, probability=DenseVector([0.0573, 0.0962, 0.2218, 0.1232, 0.0315, 0.0138, 0.1225, 0.0625, 0.1069, 0.0675, 0.0254, 0.0327, 0.0281, 0.0108]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=1.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 28.0]), label=4.0, probability=DenseVector([0.1034, 0.0635, 0.0119, 0.007, 0.0448, 0.0001, 0.609, 0.0109, 0.0155, 0.0486, 0.0659, 0.0018, 0.0171, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 33.0]), label=0.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 35.0]), label=4.0, probability=DenseVector([0.1107, 0.0545, 0.0148, 0.0117, 0.0484, 0.0072, 0.5683, 0.0114, 0.0184, 0.0602, 0.0719, 0.0023, 0.0199, 0.0003]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 51.0]), label=1.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 55.0]), label=4.0, probability=DenseVector([0.0282, 0.1125, 0.2227, 0.1865, 0.0155, 0.0233, 0.0446, 0.0743, 0.1306, 0.0784, 0.0086, 0.036, 0.0279, 0.0108]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0387, 0.0802, 0.287, 0.1173, 0.025, 0.0111, 0.1498, 0.058, 0.0979, 0.0543, 0.0165, 0.0239, 0.019, 0.0213]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0387, 0.0802, 0.287, 0.1173, 0.025, 0.0111, 0.1498, 0.058, 0.0979, 0.0543, 0.0165, 0.0239, 0.019, 0.0213]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 48.0]), label=10.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=6.0, features=DenseVector([29.0, 50.0, 40.0]), label=2.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0387, 0.0802, 0.287, 0.1173, 0.025, 0.0111, 0.1498, 0.058, 0.0979, 0.0543, 0.0165, 0.0239, 0.019, 0.0213]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0387, 0.0802, 0.287, 0.1173, 0.025, 0.0111, 0.1498, 0.058, 0.0979, 0.0543, 0.0165, 0.0239, 0.019, 0.0213]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 45.0]), label=10.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 52.0]), label=4.0, probability=DenseVector([0.0244, 0.1032, 0.215, 0.1685, 0.0212, 0.0169, 0.0436, 0.0692, 0.1216, 0.1398, 0.0084, 0.0304, 0.0277, 0.0101]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0333, 0.069, 0.3147, 0.1224, 0.0249, 0.0107, 0.1595, 0.0508, 0.0829, 0.0619, 0.0148, 0.0202, 0.0154, 0.0196]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0333, 0.069, 0.3147, 0.1224, 0.0249, 0.0107, 0.1595, 0.0508, 0.0829, 0.0619, 0.0148, 0.0202, 0.0154, 0.0196]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0282, 0.0716, 0.3477, 0.1294, 0.0189, 0.0046, 0.1069, 0.0581, 0.0978, 0.0616, 0.0126, 0.0243, 0.0163, 0.0219]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 32.0]), label=0.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=2.0, features=DenseVector([29.0, 52.0, 50.0]), label=12.0, probability=DenseVector([0.0278, 0.0765, 0.2951, 0.1657, 0.0193, 0.0168, 0.0834, 0.0652, 0.1087, 0.0721, 0.0115, 0.0252, 0.0178, 0.0147]))
Row(prediction=6.0, features=DenseVector([29.0, 53.0, 37.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([29.0, 53.0, 46.0]), label=3.0, probability=DenseVector([0.0332, 0.0695, 0.3215, 0.125, 0.0251, 0.0046, 0.126, 0.0544, 0.0946, 0.0664, 0.0175, 0.0236, 0.0169, 0.0218]))
Row(prediction=6.0, features=DenseVector([29.0, 54.0, 31.0]), label=3.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=9.0, features=DenseVector([29.0, 55.0, 53.0]), label=8.0, probability=DenseVector([0.0264, 0.094, 0.1738, 0.1454, 0.0385, 0.0156, 0.0677, 0.0569, 0.1017, 0.2048, 0.0175, 0.0234, 0.0288, 0.0057]))
Row(prediction=2.0, features=DenseVector([29.0, 59.0, 47.0]), label=3.0, probability=DenseVector([0.0285, 0.0705, 0.2646, 0.1151, 0.0315, 0.0044, 0.1238, 0.0516, 0.094, 0.138, 0.018, 0.0213, 0.0186, 0.02]))
Row(prediction=3.0, features=DenseVector([30.0, 16.0, 48.0]), label=3.0, probability=DenseVector([0.0106, 0.1841, 0.043, 0.3869, 0.0034, 0.132, 0.0182, 0.0483, 0.0559, 0.0367, 0.0014, 0.0199, 0.0581, 0.0015]))
Row(prediction=3.0, features=DenseVector([30.0, 19.0, 48.0]), label=1.0, probability=DenseVector([0.0106, 0.1841, 0.043, 0.3869, 0.0034, 0.132, 0.0182, 0.0483, 0.0559, 0.0367, 0.0014, 0.0199, 0.0581, 0.0015]))
Row(prediction=3.0, features=DenseVector([30.0, 19.0, 49.0]), label=1.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 19.0, 51.0]), label=1.0, probability=DenseVector([0.0127, 0.1808, 0.0523, 0.3859, 0.0046, 0.0823, 0.0169, 0.0542, 0.0644, 0.0619, 0.0026, 0.0222, 0.0566, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0106, 0.1841, 0.043, 0.3869, 0.0034, 0.132, 0.0182, 0.0483, 0.0559, 0.0367, 0.0014, 0.0199, 0.0581, 0.0015]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0106, 0.1841, 0.043, 0.3869, 0.0034, 0.132, 0.0182, 0.0483, 0.0559, 0.0367, 0.0014, 0.0199, 0.0581, 0.0015]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 50.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0106, 0.1841, 0.043, 0.3869, 0.0034, 0.132, 0.0182, 0.0483, 0.0559, 0.0367, 0.0014, 0.0199, 0.0581, 0.0015]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0106, 0.1841, 0.043, 0.3869, 0.0034, 0.132, 0.0182, 0.0483, 0.0559, 0.0367, 0.0014, 0.0199, 0.0581, 0.0015]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 50.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 50.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 51.0]), label=3.0, probability=DenseVector([0.0127, 0.1808, 0.0523, 0.3859, 0.0046, 0.0823, 0.0169, 0.0542, 0.0644, 0.0619, 0.0026, 0.0222, 0.0566, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 53.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 25.0, 51.0]), label=1.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 25.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 25.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 25.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 53.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 50.0]), label=1.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 54.0]), label=9.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 50.0]), label=9.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 56.0]), label=3.0, probability=DenseVector([0.009, 0.1888, 0.0516, 0.3827, 0.0035, 0.0215, 0.0138, 0.0668, 0.0887, 0.0531, 0.0011, 0.0407, 0.0768, 0.0019]))
Row(prediction=6.0, features=DenseVector([30.0, 33.0, 32.0]), label=3.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0113, 0.1754, 0.0611, 0.4083, 0.0035, 0.0251, 0.0129, 0.0748, 0.0981, 0.0352, 0.0015, 0.0333, 0.0562, 0.0034]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0113, 0.1754, 0.0611, 0.4083, 0.0035, 0.0251, 0.0129, 0.0748, 0.0981, 0.0352, 0.0015, 0.0333, 0.0562, 0.0034]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.0228, 0.1194, 0.1487, 0.2806, 0.0069, 0.0565, 0.0104, 0.0996, 0.1422, 0.0393, 0.0044, 0.035, 0.0295, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.0251, 0.1065, 0.1708, 0.2597, 0.0075, 0.0639, 0.0098, 0.1022, 0.1469, 0.0403, 0.0049, 0.0338, 0.0235, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 56.0]), label=3.0, probability=DenseVector([0.0251, 0.1046, 0.1696, 0.2546, 0.0111, 0.0679, 0.0096, 0.0981, 0.145, 0.047, 0.0055, 0.032, 0.0248, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 51.0]), label=9.0, probability=DenseVector([0.0288, 0.1091, 0.1629, 0.2582, 0.0118, 0.091, 0.0169, 0.0874, 0.1222, 0.0377, 0.0082, 0.0292, 0.0293, 0.0071]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0288, 0.1091, 0.1629, 0.2582, 0.0118, 0.091, 0.0169, 0.0874, 0.1222, 0.0377, 0.0082, 0.0292, 0.0293, 0.0071]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=0.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 50.0]), label=0.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 50.0]), label=0.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 51.0]), label=7.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=0.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=0.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 54.0]), label=3.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 55.0]), label=4.0, probability=DenseVector([0.0272, 0.098, 0.1825, 0.2468, 0.0117, 0.0764, 0.0096, 0.0971, 0.1371, 0.048, 0.0056, 0.0315, 0.0235, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 55.0]), label=2.0, probability=DenseVector([0.0272, 0.098, 0.1825, 0.2468, 0.0117, 0.0764, 0.0096, 0.0971, 0.1371, 0.048, 0.0056, 0.0315, 0.0235, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 56.0]), label=3.0, probability=DenseVector([0.0272, 0.098, 0.1825, 0.2468, 0.0117, 0.0764, 0.0096, 0.0971, 0.1371, 0.048, 0.0056, 0.0315, 0.0235, 0.0048]))
Row(prediction=6.0, features=DenseVector([30.0, 38.0, 42.0]), label=1.0, probability=DenseVector([0.0502, 0.0864, 0.1472, 0.1432, 0.0371, 0.073, 0.159, 0.0579, 0.0756, 0.0611, 0.0448, 0.0186, 0.0282, 0.0177]))
Row(prediction=2.0, features=DenseVector([30.0, 38.0, 44.0]), label=10.0, probability=DenseVector([0.0367, 0.1042, 0.1945, 0.1927, 0.0187, 0.0723, 0.0391, 0.0829, 0.1106, 0.0546, 0.0128, 0.028, 0.0334, 0.0196]))
Row(prediction=2.0, features=DenseVector([30.0, 38.0, 44.0]), label=4.0, probability=DenseVector([0.0367, 0.1042, 0.1945, 0.1927, 0.0187, 0.0723, 0.0391, 0.0829, 0.1106, 0.0546, 0.0128, 0.028, 0.0334, 0.0196]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 48.0]), label=0.0, probability=DenseVector([0.0346, 0.1037, 0.1769, 0.233, 0.0151, 0.0714, 0.0245, 0.0934, 0.1216, 0.0414, 0.0096, 0.0309, 0.029, 0.0149]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 50.0]), label=0.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 50.0]), label=0.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 50.0]), label=7.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=0.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 54.0]), label=2.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 55.0]), label=0.0, probability=DenseVector([0.0272, 0.098, 0.1825, 0.2468, 0.0117, 0.0764, 0.0096, 0.0971, 0.1371, 0.048, 0.0056, 0.0315, 0.0235, 0.0048]))
Row(prediction=6.0, features=DenseVector([30.0, 39.0, 42.0]), label=10.0, probability=DenseVector([0.0502, 0.0864, 0.1472, 0.1432, 0.0371, 0.073, 0.159, 0.0579, 0.0756, 0.0611, 0.0448, 0.0186, 0.0282, 0.0177]))
Row(prediction=2.0, features=DenseVector([30.0, 39.0, 45.0]), label=4.0, probability=DenseVector([0.0367, 0.1042, 0.1945, 0.1927, 0.0187, 0.0723, 0.0391, 0.0829, 0.1106, 0.0546, 0.0128, 0.028, 0.0334, 0.0196]))
Row(prediction=2.0, features=DenseVector([30.0, 39.0, 47.0]), label=4.0, probability=DenseVector([0.0367, 0.1042, 0.1945, 0.1927, 0.0187, 0.0723, 0.0391, 0.0829, 0.1106, 0.0546, 0.0128, 0.028, 0.0334, 0.0196]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0346, 0.1037, 0.1769, 0.233, 0.0151, 0.0714, 0.0245, 0.0934, 0.1216, 0.0414, 0.0096, 0.0309, 0.029, 0.0149]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 50.0]), label=8.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 50.0]), label=0.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=10.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=0.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=0.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=0.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=0.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=4.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=6.0, features=DenseVector([30.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.077, 0.0835, 0.0408, 0.0443, 0.0539, 0.0295, 0.4251, 0.0212, 0.0277, 0.0768, 0.0821, 0.0087, 0.0252, 0.0043]))
Row(prediction=2.0, features=DenseVector([30.0, 40.0, 47.0]), label=0.0, probability=DenseVector([0.0391, 0.0865, 0.2358, 0.1924, 0.0196, 0.0554, 0.0445, 0.0692, 0.1123, 0.0458, 0.0129, 0.0271, 0.0297, 0.0298]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.035, 0.0853, 0.2124, 0.2277, 0.0159, 0.0678, 0.0295, 0.0748, 0.1208, 0.0415, 0.0102, 0.028, 0.0261, 0.0249]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=7.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=0.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 53.0]), label=0.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 48.0]), label=0.0, probability=DenseVector([0.035, 0.0853, 0.2124, 0.2277, 0.0159, 0.0678, 0.0295, 0.0748, 0.1208, 0.0415, 0.0102, 0.028, 0.0261, 0.0249]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 49.0]), label=4.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=0.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=0.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=0.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=2.0, features=DenseVector([30.0, 42.0, 47.0]), label=4.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 48.0]), label=1.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=0.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 53.0]), label=0.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 54.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 54.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=6.0, features=DenseVector([30.0, 44.0, 33.0]), label=3.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=2.0, features=DenseVector([30.0, 44.0, 43.0]), label=4.0, probability=DenseVector([0.0565, 0.0926, 0.1969, 0.1504, 0.0325, 0.0353, 0.1124, 0.0595, 0.0925, 0.0657, 0.0259, 0.0273, 0.0298, 0.0226]))
Row(prediction=2.0, features=DenseVector([30.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=2.0, features=DenseVector([30.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=2.0, features=DenseVector([30.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 51.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=6.0, features=DenseVector([30.0, 45.0, 42.0]), label=12.0, probability=DenseVector([0.0711, 0.0848, 0.1742, 0.1117, 0.0424, 0.0202, 0.2018, 0.0481, 0.073, 0.0692, 0.0357, 0.0224, 0.0252, 0.0202]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 45.0]), label=2.0, probability=DenseVector([0.0387, 0.0828, 0.2676, 0.1633, 0.0227, 0.0274, 0.0586, 0.0652, 0.1104, 0.0612, 0.0149, 0.0309, 0.0265, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=1.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 46.0]), label=1.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=1.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 44.0]), label=10.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 46.0]), label=12.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 49.0]), label=8.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 50.0]), label=2.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 43.0]), label=2.0, probability=DenseVector([0.0382, 0.0777, 0.283, 0.1235, 0.0256, 0.0124, 0.149, 0.0554, 0.0919, 0.055, 0.0169, 0.0222, 0.0192, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0382, 0.0777, 0.283, 0.1235, 0.0256, 0.0124, 0.149, 0.0554, 0.0919, 0.055, 0.0169, 0.0222, 0.0192, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 52.0]), label=3.0, probability=DenseVector([0.0272, 0.0851, 0.2539, 0.2069, 0.0124, 0.0361, 0.04, 0.0748, 0.1268, 0.0594, 0.0077, 0.0305, 0.023, 0.0161]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 41.0]), label=2.0, probability=DenseVector([0.0733, 0.0543, 0.0902, 0.0561, 0.039, 0.0002, 0.4856, 0.0252, 0.0625, 0.0563, 0.0243, 0.0118, 0.0178, 0.0034]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0382, 0.0777, 0.283, 0.1235, 0.0256, 0.0124, 0.149, 0.0554, 0.0919, 0.055, 0.0169, 0.0222, 0.0192, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0382, 0.0777, 0.283, 0.1235, 0.0256, 0.0124, 0.149, 0.0554, 0.0919, 0.055, 0.0169, 0.0222, 0.0192, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 49.0]), label=12.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 49.0]), label=2.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 50.0]), label=2.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 40.0]), label=2.0, probability=DenseVector([0.0589, 0.0313, 0.0839, 0.0559, 0.0266, 0.0001, 0.5238, 0.0225, 0.0852, 0.0575, 0.0134, 0.0193, 0.0211, 0.0005]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 32.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 36.0]), label=3.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 42.0]), label=2.0, probability=DenseVector([0.0361, 0.0664, 0.2936, 0.1214, 0.0288, 0.0117, 0.1788, 0.0482, 0.0766, 0.0646, 0.0156, 0.0198, 0.0162, 0.0223]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 45.0]), label=2.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 51.0]), label=8.0, probability=DenseVector([0.0265, 0.0712, 0.2979, 0.1779, 0.0187, 0.0226, 0.0789, 0.0619, 0.1024, 0.0696, 0.0103, 0.0224, 0.018, 0.0218]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 32.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 38.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 39.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 53.0, 46.0]), label=3.0, probability=DenseVector([0.0292, 0.0638, 0.3375, 0.1382, 0.021, 0.006, 0.1183, 0.0523, 0.0875, 0.0605, 0.0121, 0.0221, 0.0162, 0.0353]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 31.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 32.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 54.0, 36.0]), label=3.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 54.0, 45.0]), label=3.0, probability=DenseVector([0.0303, 0.0648, 0.3241, 0.1337, 0.0218, 0.006, 0.1347, 0.0519, 0.0873, 0.06, 0.0115, 0.0219, 0.0168, 0.0352]))
Row(prediction=6.0, features=DenseVector([30.0, 55.0, 35.0]), label=0.0, probability=DenseVector([0.0646, 0.0339, 0.0297, 0.0464, 0.0221, 0.0, 0.65, 0.0137, 0.0615, 0.0426, 0.0074, 0.0074, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 55.0, 39.0]), label=3.0, probability=DenseVector([0.063, 0.0313, 0.0412, 0.0573, 0.0214, 0.0, 0.6029, 0.012, 0.0755, 0.0554, 0.0088, 0.0102, 0.021, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 57.0, 32.0]), label=0.0, probability=DenseVector([0.0432, 0.0272, 0.0112, 0.018, 0.016, 0.0, 0.8014, 0.0102, 0.0237, 0.0303, 0.0052, 0.0038, 0.0097, 0.0001]))
Row(prediction=5.0, features=DenseVector([31.0, 15.0, 46.0]), label=3.0, probability=DenseVector([0.0084, 0.1584, 0.0517, 0.2406, 0.0076, 0.3056, 0.0221, 0.0267, 0.0321, 0.0727, 0.005, 0.0151, 0.0504, 0.0035]))
Row(prediction=1.0, features=DenseVector([31.0, 16.0, 16.0]), label=4.0, probability=DenseVector([0.0044, 0.2916, 0.0024, 0.1077, 0.0209, 0.2572, 0.1307, 0.0008, 0.0033, 0.1334, 0.0034, 0.0007, 0.0435, 0.0]))
Row(prediction=5.0, features=DenseVector([31.0, 17.0, 47.0]), label=3.0, probability=DenseVector([0.0087, 0.1556, 0.0525, 0.2531, 0.0077, 0.2894, 0.0191, 0.0296, 0.0353, 0.0731, 0.0051, 0.0158, 0.0515, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 19.0, 48.0]), label=1.0, probability=DenseVector([0.009, 0.1737, 0.0465, 0.2907, 0.0057, 0.2419, 0.0129, 0.0388, 0.0461, 0.061, 0.0035, 0.0168, 0.0512, 0.0021]))
Row(prediction=3.0, features=DenseVector([31.0, 20.0, 49.0]), label=1.0, probability=DenseVector([0.0107, 0.173, 0.0649, 0.3014, 0.0063, 0.2201, 0.0106, 0.0413, 0.0494, 0.0451, 0.0046, 0.0192, 0.0497, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 20.0, 50.0]), label=1.0, probability=DenseVector([0.0107, 0.173, 0.0649, 0.3014, 0.0063, 0.2201, 0.0106, 0.0413, 0.0494, 0.0451, 0.0046, 0.0192, 0.0497, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.009, 0.1737, 0.0465, 0.2907, 0.0057, 0.2419, 0.0129, 0.0388, 0.0461, 0.061, 0.0035, 0.0168, 0.0512, 0.0021]))
Row(prediction=3.0, features=DenseVector([31.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0107, 0.173, 0.0649, 0.3014, 0.0063, 0.2201, 0.0106, 0.0413, 0.0494, 0.0451, 0.0046, 0.0192, 0.0497, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 21.0, 50.0]), label=3.0, probability=DenseVector([0.0107, 0.173, 0.0649, 0.3014, 0.0063, 0.2201, 0.0106, 0.0413, 0.0494, 0.0451, 0.0046, 0.0192, 0.0497, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0148, 0.186, 0.0828, 0.3471, 0.0101, 0.1004, 0.0141, 0.0492, 0.06, 0.045, 0.0071, 0.0242, 0.0543, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0148, 0.186, 0.0828, 0.3471, 0.0101, 0.1004, 0.0141, 0.0492, 0.06, 0.045, 0.0071, 0.0242, 0.0543, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 22.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 22.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 23.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 25.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 25.0, 53.0]), label=12.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 28.0, 54.0]), label=1.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 28.0, 55.0]), label=12.0, probability=DenseVector([0.007, 0.1851, 0.0491, 0.3739, 0.0034, 0.0347, 0.0112, 0.0644, 0.0797, 0.0715, 0.0009, 0.0364, 0.0804, 0.0024]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=6.0, features=DenseVector([31.0, 30.0, 40.0]), label=4.0, probability=DenseVector([0.0581, 0.0596, 0.0178, 0.0137, 0.0411, 0.0647, 0.5422, 0.0082, 0.0142, 0.0926, 0.0584, 0.0027, 0.0263, 0.0005]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 54.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 56.0]), label=9.0, probability=DenseVector([0.007, 0.1918, 0.0521, 0.3781, 0.0034, 0.0345, 0.0118, 0.0657, 0.0834, 0.054, 0.0009, 0.0393, 0.0756, 0.0024]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 56.0]), label=3.0, probability=DenseVector([0.007, 0.1918, 0.0521, 0.3781, 0.0034, 0.0345, 0.0118, 0.0657, 0.0834, 0.054, 0.0009, 0.0393, 0.0756, 0.0024]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 58.0]), label=3.0, probability=DenseVector([0.007, 0.1918, 0.0521, 0.3781, 0.0034, 0.0345, 0.0118, 0.0657, 0.0834, 0.054, 0.0009, 0.0393, 0.0756, 0.0024]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 55.0]), label=3.0, probability=DenseVector([0.0099, 0.1634, 0.0653, 0.39, 0.0071, 0.0617, 0.0108, 0.0692, 0.0916, 0.0405, 0.0019, 0.0294, 0.0549, 0.0043]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 55.0]), label=3.0, probability=DenseVector([0.0099, 0.1634, 0.0653, 0.39, 0.0071, 0.0617, 0.0108, 0.0692, 0.0916, 0.0405, 0.0019, 0.0294, 0.0549, 0.0043]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0253, 0.1172, 0.164, 0.2351, 0.0135, 0.1314, 0.0118, 0.0756, 0.1017, 0.0489, 0.0097, 0.0281, 0.0311, 0.0064]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=2.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.031, 0.1075, 0.1672, 0.2213, 0.0166, 0.1311, 0.0141, 0.0806, 0.105, 0.0453, 0.0116, 0.0274, 0.0294, 0.0119]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=0.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.0376, 0.0945, 0.1671, 0.1762, 0.0263, 0.1274, 0.0324, 0.0696, 0.0945, 0.0774, 0.0201, 0.0242, 0.0314, 0.0213]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0291, 0.0959, 0.1717, 0.2266, 0.0157, 0.1476, 0.0108, 0.0788, 0.1102, 0.0402, 0.0119, 0.0265, 0.0253, 0.0096]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=4.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 56.0]), label=7.0, probability=DenseVector([0.0247, 0.0844, 0.1911, 0.2303, 0.0117, 0.1236, 0.0076, 0.094, 0.1276, 0.0445, 0.0053, 0.029, 0.0206, 0.0056]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 45.0]), label=10.0, probability=DenseVector([0.0376, 0.0945, 0.1671, 0.1762, 0.0263, 0.1274, 0.0324, 0.0696, 0.0945, 0.0774, 0.0201, 0.0242, 0.0314, 0.0213]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 46.0]), label=4.0, probability=DenseVector([0.0376, 0.0945, 0.1671, 0.1762, 0.0263, 0.1274, 0.0324, 0.0696, 0.0945, 0.0774, 0.0201, 0.0242, 0.0314, 0.0213]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0348, 0.0959, 0.1754, 0.2078, 0.0188, 0.1385, 0.0143, 0.0834, 0.1077, 0.0421, 0.0134, 0.0285, 0.0261, 0.0131]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 50.0]), label=0.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=10.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 54.0]), label=2.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 54.0]), label=3.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 47.0]), label=3.0, probability=DenseVector([0.0376, 0.0945, 0.1671, 0.1762, 0.0263, 0.1274, 0.0324, 0.0696, 0.0945, 0.0774, 0.0201, 0.0242, 0.0314, 0.0213]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 50.0]), label=4.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 50.0]), label=10.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=0.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=2.0, features=DenseVector([31.0, 39.0, 42.0]), label=4.0, probability=DenseVector([0.0504, 0.0795, 0.1394, 0.13, 0.0421, 0.1238, 0.1185, 0.0509, 0.069, 0.0845, 0.0468, 0.0169, 0.0283, 0.0199]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 48.0]), label=4.0, probability=DenseVector([0.0341, 0.0929, 0.1655, 0.2107, 0.0194, 0.1278, 0.0186, 0.0825, 0.1062, 0.0559, 0.0133, 0.0266, 0.0265, 0.0202]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0348, 0.0959, 0.1754, 0.2078, 0.0188, 0.1385, 0.0143, 0.0834, 0.1077, 0.0421, 0.0134, 0.0285, 0.0261, 0.0131]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0348, 0.0959, 0.1754, 0.2078, 0.0188, 0.1385, 0.0143, 0.0834, 0.1077, 0.0421, 0.0134, 0.0285, 0.0261, 0.0131]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 50.0]), label=8.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 50.0]), label=0.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=0.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=9.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=0.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=6.0, features=DenseVector([31.0, 40.0, 38.0]), label=12.0, probability=DenseVector([0.0874, 0.0543, 0.0119, 0.0112, 0.0545, 0.0072, 0.5376, 0.0095, 0.0142, 0.0775, 0.1114, 0.0026, 0.0205, 0.0002]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=0.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=4.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 54.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 54.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 54.0]), label=0.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 55.0]), label=3.0, probability=DenseVector([0.0332, 0.0686, 0.1926, 0.2442, 0.0156, 0.1313, 0.011, 0.0743, 0.1094, 0.045, 0.0067, 0.0206, 0.0232, 0.0243]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 60.0]), label=0.0, probability=DenseVector([0.0328, 0.0709, 0.1868, 0.2353, 0.0182, 0.1259, 0.0115, 0.0717, 0.1108, 0.0567, 0.0082, 0.0212, 0.0263, 0.0237]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 43.0]), label=10.0, probability=DenseVector([0.0521, 0.0823, 0.1601, 0.1886, 0.0403, 0.064, 0.0752, 0.0451, 0.0643, 0.0865, 0.0342, 0.0233, 0.0266, 0.0575]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 44.0]), label=4.0, probability=DenseVector([0.0444, 0.0666, 0.1833, 0.2141, 0.0356, 0.0661, 0.04, 0.0479, 0.0745, 0.085, 0.0278, 0.0264, 0.027, 0.0613]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 48.0]), label=0.0, probability=DenseVector([0.0315, 0.0708, 0.1898, 0.2647, 0.0167, 0.1019, 0.0162, 0.0671, 0.0972, 0.0371, 0.0094, 0.0197, 0.0238, 0.0541]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=4.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=4.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 53.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=0.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 52.0]), label=0.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=6.0, features=DenseVector([31.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.1, 0.0577, 0.0133, 0.0115, 0.0521, 0.0073, 0.5375, 0.0093, 0.0161, 0.077, 0.0944, 0.0027, 0.0209, 0.0002]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 45.0]), label=10.0, probability=DenseVector([0.0431, 0.0666, 0.1866, 0.2203, 0.0342, 0.0567, 0.0413, 0.048, 0.0719, 0.085, 0.0264, 0.0265, 0.0267, 0.0668]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0355, 0.071, 0.2004, 0.2409, 0.0227, 0.0746, 0.0327, 0.0568, 0.0819, 0.0512, 0.0152, 0.0194, 0.027, 0.0708]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 48.0]), label=0.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=1.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 53.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 51.0]), label=2.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=2.0, features=DenseVector([31.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.037, 0.0587, 0.2237, 0.2136, 0.0302, 0.0443, 0.0493, 0.0447, 0.0707, 0.0787, 0.0219, 0.0257, 0.0214, 0.0801]))
Row(prediction=2.0, features=DenseVector([31.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0294, 0.0632, 0.2376, 0.2342, 0.0186, 0.0622, 0.0407, 0.0535, 0.0806, 0.045, 0.0106, 0.0186, 0.0217, 0.0841]))
Row(prediction=2.0, features=DenseVector([31.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0294, 0.0632, 0.2376, 0.2342, 0.0186, 0.0622, 0.0407, 0.0535, 0.0806, 0.045, 0.0106, 0.0186, 0.0217, 0.0841]))
Row(prediction=2.0, features=DenseVector([31.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0294, 0.0632, 0.2376, 0.2342, 0.0186, 0.0622, 0.0407, 0.0535, 0.0806, 0.045, 0.0106, 0.0186, 0.0217, 0.0841]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 51.0]), label=3.0, probability=DenseVector([0.0286, 0.0661, 0.2235, 0.2535, 0.0149, 0.09, 0.0234, 0.0654, 0.0985, 0.037, 0.0068, 0.0188, 0.0201, 0.0533]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 52.0]), label=12.0, probability=DenseVector([0.0305, 0.0626, 0.2197, 0.2428, 0.0146, 0.1309, 0.013, 0.0733, 0.1047, 0.0358, 0.0065, 0.0187, 0.0191, 0.0279]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 52.0]), label=3.0, probability=DenseVector([0.0305, 0.0626, 0.2197, 0.2428, 0.0146, 0.1309, 0.013, 0.0733, 0.1047, 0.0358, 0.0065, 0.0187, 0.0191, 0.0279]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 57.0]), label=9.0, probability=DenseVector([0.0306, 0.0674, 0.2067, 0.2258, 0.0184, 0.1211, 0.0151, 0.0684, 0.109, 0.0584, 0.0084, 0.0203, 0.024, 0.0264]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 50.0]), label=2.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 42.0]), label=3.0, probability=DenseVector([0.0426, 0.0556, 0.2069, 0.1715, 0.0332, 0.0238, 0.1891, 0.0337, 0.0492, 0.0567, 0.0234, 0.0139, 0.0157, 0.0846]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=6.0, features=DenseVector([31.0, 49.0, 38.0]), label=3.0, probability=DenseVector([0.0736, 0.0464, 0.0461, 0.0486, 0.0309, 0.0, 0.5555, 0.0133, 0.0628, 0.0624, 0.0265, 0.0105, 0.0229, 0.0005]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0251, 0.0547, 0.263, 0.2107, 0.0207, 0.0276, 0.1126, 0.0391, 0.0611, 0.0516, 0.0129, 0.015, 0.014, 0.0918]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 49.0]), label=12.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 49.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 50.0]), label=12.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0251, 0.0547, 0.263, 0.2107, 0.0207, 0.0276, 0.1126, 0.0391, 0.0611, 0.0516, 0.0129, 0.015, 0.014, 0.0918]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=8.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 47.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=6.0, features=DenseVector([31.0, 51.0, 30.0]), label=0.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0202, 0.0479, 0.2768, 0.2356, 0.0207, 0.018, 0.1101, 0.0314, 0.059, 0.0574, 0.0103, 0.0128, 0.0126, 0.0871]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 50.0]), label=3.0, probability=DenseVector([0.0197, 0.053, 0.2743, 0.2509, 0.016, 0.0379, 0.0648, 0.0468, 0.0792, 0.0506, 0.007, 0.0147, 0.0144, 0.0706]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 38.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 39.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 43.0]), label=2.0, probability=DenseVector([0.0202, 0.0479, 0.2768, 0.2356, 0.0207, 0.018, 0.1101, 0.0314, 0.059, 0.0574, 0.0103, 0.0128, 0.0126, 0.0871]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 45.0]), label=3.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 46.0]), label=3.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 31.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 31.0]), label=0.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 38.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 39.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 40.0]), label=2.0, probability=DenseVector([0.0558, 0.0317, 0.0713, 0.0717, 0.0277, 0.0, 0.5215, 0.0154, 0.0848, 0.0694, 0.0109, 0.0169, 0.0203, 0.0026]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 31.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 55.0, 31.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 55.0, 40.0]), label=3.0, probability=DenseVector([0.0548, 0.0387, 0.0518, 0.0596, 0.0278, 0.0, 0.5671, 0.0138, 0.0632, 0.0769, 0.0099, 0.0143, 0.0191, 0.0034]))
Row(prediction=6.0, features=DenseVector([31.0, 58.0, 26.0]), label=0.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 12.0, 54.0]), label=9.0, probability=DenseVector([0.0067, 0.168, 0.0622, 0.2645, 0.0076, 0.2384, 0.0021, 0.0537, 0.0431, 0.0779, 0.0034, 0.0219, 0.0444, 0.0061]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 46.0]), label=1.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 17.0, 46.0]), label=3.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 17.0, 47.0]), label=3.0, probability=DenseVector([0.0104, 0.1007, 0.0695, 0.077, 0.0133, 0.533, 0.0067, 0.0146, 0.0211, 0.0931, 0.0102, 0.0093, 0.0352, 0.0057]))
Row(prediction=5.0, features=DenseVector([32.0, 18.0, 48.0]), label=1.0, probability=DenseVector([0.0099, 0.1317, 0.0657, 0.1126, 0.0121, 0.4815, 0.0065, 0.0173, 0.0225, 0.0797, 0.0089, 0.0094, 0.0364, 0.0059]))
Row(prediction=5.0, features=DenseVector([32.0, 18.0, 50.0]), label=1.0, probability=DenseVector([0.0121, 0.1388, 0.0883, 0.1306, 0.0127, 0.439, 0.0039, 0.0216, 0.0272, 0.0609, 0.0099, 0.0129, 0.0345, 0.0075]))
Row(prediction=5.0, features=DenseVector([32.0, 20.0, 49.0]), label=1.0, probability=DenseVector([0.0117, 0.1309, 0.084, 0.1233, 0.0127, 0.4597, 0.0042, 0.0197, 0.0258, 0.0638, 0.01, 0.0118, 0.0349, 0.0074]))
Row(prediction=5.0, features=DenseVector([32.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0158, 0.144, 0.1019, 0.1689, 0.0165, 0.3401, 0.0077, 0.0276, 0.0363, 0.0637, 0.0125, 0.0168, 0.0395, 0.0087]))
Row(prediction=5.0, features=DenseVector([32.0, 23.0, 62.0]), label=2.0, probability=DenseVector([0.0068, 0.1651, 0.0638, 0.2016, 0.0089, 0.2266, 0.0029, 0.0474, 0.0498, 0.1226, 0.0034, 0.026, 0.069, 0.006]))
Row(prediction=5.0, features=DenseVector([32.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=5.0, features=DenseVector([32.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=3.0, features=DenseVector([32.0, 25.0, 52.0]), label=12.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 25.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=3.0, features=DenseVector([32.0, 26.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 26.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 28.0, 51.0]), label=12.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=5.0, features=DenseVector([32.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=3.0, features=DenseVector([32.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 54.0]), label=3.0, probability=DenseVector([0.007, 0.168, 0.0628, 0.2878, 0.0077, 0.2341, 0.003, 0.0568, 0.046, 0.0483, 0.0034, 0.0233, 0.0456, 0.0062]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 54.0]), label=3.0, probability=DenseVector([0.007, 0.168, 0.0628, 0.2878, 0.0077, 0.2341, 0.003, 0.0568, 0.046, 0.0483, 0.0034, 0.0233, 0.0456, 0.0062]))
Row(prediction=5.0, features=DenseVector([32.0, 29.0, 57.0]), label=1.0, probability=DenseVector([0.0068, 0.1677, 0.065, 0.2047, 0.0084, 0.2266, 0.0035, 0.0486, 0.0491, 0.1074, 0.0034, 0.0315, 0.0713, 0.006]))
Row(prediction=6.0, features=DenseVector([32.0, 30.0, 36.0]), label=4.0, probability=DenseVector([0.0613, 0.0545, 0.0113, 0.0101, 0.0413, 0.0241, 0.5372, 0.0069, 0.0112, 0.136, 0.0703, 0.0107, 0.025, 0.0002]))
Row(prediction=5.0, features=DenseVector([32.0, 30.0, 51.0]), label=7.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=5.0, features=DenseVector([32.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=5.0, features=DenseVector([32.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 54.0]), label=3.0, probability=DenseVector([0.007, 0.168, 0.0628, 0.2878, 0.0077, 0.2341, 0.003, 0.0568, 0.046, 0.0483, 0.0034, 0.0233, 0.0456, 0.0062]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 54.0]), label=4.0, probability=DenseVector([0.007, 0.168, 0.0628, 0.2878, 0.0077, 0.2341, 0.003, 0.0568, 0.046, 0.0483, 0.0034, 0.0233, 0.0456, 0.0062]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.007, 0.168, 0.0628, 0.2878, 0.0077, 0.2341, 0.003, 0.0568, 0.046, 0.0483, 0.0034, 0.0233, 0.0456, 0.0062]))
Row(prediction=5.0, features=DenseVector([32.0, 32.0, 55.0]), label=3.0, probability=DenseVector([0.0068, 0.1744, 0.068, 0.2089, 0.0084, 0.2263, 0.0041, 0.0499, 0.0528, 0.09, 0.0034, 0.0344, 0.0665, 0.006]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 48.0]), label=2.0, probability=DenseVector([0.0192, 0.1129, 0.111, 0.197, 0.0199, 0.2748, 0.0149, 0.0356, 0.0436, 0.0709, 0.0143, 0.0166, 0.0381, 0.0313]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 52.0]), label=4.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 49.0]), label=7.0, probability=DenseVector([0.028, 0.0987, 0.1339, 0.1695, 0.0315, 0.2844, 0.0107, 0.0348, 0.0475, 0.0608, 0.0233, 0.0183, 0.0319, 0.027]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 55.0]), label=1.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 42.0]), label=4.0, probability=DenseVector([0.0475, 0.0684, 0.102, 0.1385, 0.051, 0.2025, 0.0989, 0.026, 0.043, 0.0913, 0.0538, 0.0128, 0.0269, 0.0372]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 45.0]), label=4.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 49.0]), label=3.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 49.0]), label=4.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=9.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=9.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 55.0]), label=9.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 47.0]), label=4.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 50.0]), label=8.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 54.0]), label=9.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 55.0]), label=2.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 55.0]), label=4.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 46.0]), label=3.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 54.0]), label=0.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 57.0]), label=12.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 57.0]), label=2.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 57.0]), label=2.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=6.0, features=DenseVector([32.0, 40.0, 40.0]), label=10.0, probability=DenseVector([0.0852, 0.0601, 0.0185, 0.015, 0.0571, 0.0073, 0.5177, 0.0107, 0.017, 0.0841, 0.1005, 0.0034, 0.0227, 0.0005]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 49.0]), label=4.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=4.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 43.0]), label=10.0, probability=DenseVector([0.0468, 0.0683, 0.1488, 0.2296, 0.0391, 0.0691, 0.0582, 0.0366, 0.0519, 0.0855, 0.0335, 0.0197, 0.0225, 0.0903]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 46.0]), label=4.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 48.0]), label=0.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=0.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=4.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 53.0]), label=0.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 56.0]), label=0.0, probability=DenseVector([0.03, 0.0655, 0.1487, 0.2229, 0.0264, 0.1782, 0.0102, 0.0486, 0.086, 0.0821, 0.0091, 0.0184, 0.0349, 0.0392]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 44.0]), label=4.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 45.0]), label=10.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 43.0]), label=3.0, probability=DenseVector([0.0426, 0.0477, 0.1619, 0.2492, 0.0346, 0.0574, 0.0691, 0.0322, 0.0478, 0.0818, 0.0278, 0.0207, 0.0207, 0.1063]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 45.0]), label=10.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 45.0]), label=4.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 51.0]), label=8.0, probability=DenseVector([0.0267, 0.0536, 0.1899, 0.2836, 0.016, 0.1251, 0.0161, 0.0522, 0.0753, 0.0323, 0.0066, 0.0129, 0.0219, 0.088]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 52.0]), label=4.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 43.0]), label=2.0, probability=DenseVector([0.0269, 0.0397, 0.1915, 0.2876, 0.0213, 0.0414, 0.0683, 0.0292, 0.0421, 0.052, 0.0148, 0.0124, 0.0168, 0.156]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 44.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 51.0]), label=12.0, probability=DenseVector([0.0186, 0.0433, 0.203, 0.3009, 0.0144, 0.0902, 0.0241, 0.0394, 0.0587, 0.0373, 0.0051, 0.0124, 0.0187, 0.1338]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 51.0]), label=3.0, probability=DenseVector([0.0186, 0.0433, 0.203, 0.3009, 0.0144, 0.0902, 0.0241, 0.0394, 0.0587, 0.0373, 0.0051, 0.0124, 0.0187, 0.1338]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 54.0]), label=3.0, probability=DenseVector([0.0224, 0.0584, 0.1539, 0.2518, 0.0217, 0.1482, 0.0183, 0.0427, 0.0789, 0.0733, 0.0063, 0.0193, 0.0304, 0.0745]))
Row(prediction=6.0, features=DenseVector([32.0, 48.0, 40.0]), label=12.0, probability=DenseVector([0.0773, 0.0525, 0.053, 0.0509, 0.0349, 0.0001, 0.5277, 0.0153, 0.0629, 0.0641, 0.0262, 0.0106, 0.0236, 0.0009]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=1.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=8.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 49.0]), label=2.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 49.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 30.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 42.0]), label=2.0, probability=DenseVector([0.0137, 0.0305, 0.1925, 0.3564, 0.0184, 0.0251, 0.0671, 0.0196, 0.0529, 0.0565, 0.0075, 0.0117, 0.0129, 0.1352]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0127, 0.0303, 0.2026, 0.3601, 0.0172, 0.0253, 0.0525, 0.0201, 0.0535, 0.0549, 0.0074, 0.0104, 0.0128, 0.1401]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 47.0]), label=3.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 47.0]), label=3.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 48.0]), label=3.0, probability=DenseVector([0.0153, 0.0383, 0.2063, 0.3363, 0.0177, 0.04, 0.0438, 0.0302, 0.0553, 0.0505, 0.0072, 0.0109, 0.0161, 0.1319]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 31.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 40.0]), label=12.0, probability=DenseVector([0.0494, 0.0292, 0.0915, 0.1158, 0.0204, 0.0001, 0.4594, 0.0106, 0.1175, 0.0594, 0.0088, 0.0143, 0.0187, 0.0052]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 45.0]), label=3.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 45.0]), label=3.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 45.0]), label=2.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 45.0]), label=3.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 51.0]), label=3.0, probability=DenseVector([0.0161, 0.0386, 0.2034, 0.3285, 0.0163, 0.0716, 0.0399, 0.0308, 0.0631, 0.0455, 0.0051, 0.0106, 0.0165, 0.114]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 31.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 32.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 36.0]), label=3.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 41.0]), label=2.0, probability=DenseVector([0.0349, 0.0314, 0.1045, 0.1676, 0.02, 0.0045, 0.3897, 0.0122, 0.0914, 0.0741, 0.0041, 0.0176, 0.0102, 0.0379]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 32.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 33.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 54.0, 42.0]), label=3.0, probability=DenseVector([0.0153, 0.0334, 0.1744, 0.3383, 0.0199, 0.025, 0.0936, 0.0192, 0.0489, 0.0662, 0.0068, 0.0123, 0.0137, 0.1331]))
Row(prediction=6.0, features=DenseVector([32.0, 55.0, 33.0]), label=0.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 56.0, 44.0]), label=3.0, probability=DenseVector([0.0173, 0.0379, 0.1686, 0.272, 0.0225, 0.0258, 0.1436, 0.0207, 0.0417, 0.083, 0.0069, 0.0108, 0.0159, 0.1333]))
Row(prediction=6.0, features=DenseVector([32.0, 59.0, 33.0]), label=0.0, probability=DenseVector([0.0415, 0.0263, 0.0112, 0.0175, 0.016, 0.0, 0.8073, 0.0098, 0.0227, 0.0294, 0.005, 0.0038, 0.0096, 0.0001]))
Row(prediction=3.0, features=DenseVector([32.0, 61.0, 45.0]), label=4.0, probability=DenseVector([0.0147, 0.0383, 0.1609, 0.2614, 0.0196, 0.0258, 0.1612, 0.0204, 0.0387, 0.0927, 0.0063, 0.0097, 0.0187, 0.1317]))
Row(prediction=5.0, features=DenseVector([33.0, 17.0, 45.0]), label=1.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 18.0, 45.0]), label=1.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 19.0, 46.0]), label=1.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([33.0, 26.0, 50.0]), label=12.0, probability=DenseVector([0.0171, 0.1353, 0.1323, 0.1198, 0.0175, 0.3687, 0.0057, 0.0256, 0.0355, 0.069, 0.0127, 0.0196, 0.0322, 0.0089]))
Row(prediction=5.0, features=DenseVector([33.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([33.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 26.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 27.0, 52.0]), label=12.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 27.0, 53.0]), label=12.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 27.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 27.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 55.0]), label=3.0, probability=DenseVector([0.0077, 0.1692, 0.0857, 0.1632, 0.0093, 0.2487, 0.0017, 0.0448, 0.0468, 0.1136, 0.0037, 0.033, 0.0665, 0.0062]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=6.0, features=DenseVector([33.0, 33.0, 32.0]), label=3.0, probability=DenseVector([0.0807, 0.0557, 0.0106, 0.0188, 0.0555, 0.0204, 0.4757, 0.0087, 0.0124, 0.1295, 0.1069, 0.0026, 0.0212, 0.0015]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 46.0]), label=4.0, probability=DenseVector([0.0311, 0.0809, 0.1193, 0.1524, 0.0389, 0.2832, 0.0177, 0.0263, 0.0447, 0.0924, 0.0301, 0.0148, 0.0296, 0.0385]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 56.0]), label=1.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 50.0]), label=0.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 50.0]), label=4.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 55.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 55.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 57.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 50.0]), label=0.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 51.0]), label=4.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 54.0]), label=10.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 56.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 50.0]), label=8.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 50.0]), label=0.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=9.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=4.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 53.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 53.0]), label=4.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 44.0]), label=4.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 48.0]), label=10.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 48.0]), label=1.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=4.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 46.0]), label=4.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 44.0]), label=10.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=7.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=6.0, features=DenseVector([33.0, 44.0, 40.0]), label=10.0, probability=DenseVector([0.0988, 0.0772, 0.0238, 0.0271, 0.0529, 0.0019, 0.4819, 0.0094, 0.0203, 0.11, 0.0679, 0.0046, 0.0222, 0.002]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 48.0]), label=7.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 50.0]), label=7.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 51.0]), label=8.0, probability=DenseVector([0.0267, 0.0536, 0.1899, 0.2836, 0.016, 0.1251, 0.0161, 0.0522, 0.0753, 0.0323, 0.0066, 0.0129, 0.0219, 0.088]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 54.0]), label=3.0, probability=DenseVector([0.0307, 0.059, 0.1652, 0.2438, 0.0237, 0.183, 0.0088, 0.0541, 0.0852, 0.0567, 0.0069, 0.0141, 0.0275, 0.0414]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([33.0, 47.0, 38.0]), label=10.0, probability=DenseVector([0.1028, 0.0719, 0.0236, 0.0322, 0.0472, 0.0018, 0.5002, 0.0106, 0.0276, 0.1003, 0.0536, 0.0061, 0.0205, 0.0018]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=4.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([33.0, 48.0, 41.0]), label=2.0, probability=DenseVector([0.0569, 0.0475, 0.0838, 0.1442, 0.0291, 0.0056, 0.4019, 0.0165, 0.0596, 0.0646, 0.0189, 0.0107, 0.0153, 0.0453]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.0182, 0.036, 0.1822, 0.3279, 0.0182, 0.0421, 0.0452, 0.0262, 0.0456, 0.0551, 0.01, 0.0123, 0.0154, 0.1657]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 43.0]), label=2.0, probability=DenseVector([0.0182, 0.036, 0.1822, 0.3279, 0.0182, 0.0421, 0.0452, 0.0262, 0.0456, 0.0551, 0.01, 0.0123, 0.0154, 0.1657]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.0312, 0.0401, 0.1609, 0.2965, 0.0256, 0.0305, 0.1109, 0.0234, 0.0427, 0.0579, 0.0186, 0.0112, 0.0155, 0.1349]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([33.0, 50.0, 41.0]), label=3.0, probability=DenseVector([0.0569, 0.0475, 0.0838, 0.1442, 0.0291, 0.0056, 0.4019, 0.0165, 0.0596, 0.0646, 0.0189, 0.0107, 0.0153, 0.0453]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([33.0, 52.0, 33.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([33.0, 52.0, 36.0]), label=0.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=3.0, features=DenseVector([33.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 52.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 52.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 52.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 52.0, 46.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([33.0, 53.0, 29.0]), label=3.0, probability=DenseVector([0.0628, 0.0384, 0.0125, 0.0285, 0.0266, 0.0, 0.7297, 0.0175, 0.0289, 0.0295, 0.0052, 0.006, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([33.0, 53.0, 31.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([33.0, 53.0, 31.0]), label=3.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=3.0, features=DenseVector([33.0, 53.0, 46.0]), label=3.0, probability=DenseVector([0.0113, 0.0336, 0.175, 0.3674, 0.0187, 0.0267, 0.0433, 0.0185, 0.0436, 0.075, 0.0065, 0.0106, 0.0148, 0.1549]))
Row(prediction=6.0, features=DenseVector([33.0, 54.0, 33.0]), label=0.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=3.0, features=DenseVector([33.0, 54.0, 45.0]), label=2.0, probability=DenseVector([0.0139, 0.034, 0.1733, 0.3455, 0.0189, 0.0265, 0.0763, 0.0196, 0.0433, 0.0646, 0.0067, 0.0114, 0.0147, 0.1514]))
Row(prediction=3.0, features=DenseVector([33.0, 55.0, 50.0]), label=3.0, probability=DenseVector([0.0166, 0.0444, 0.1586, 0.2819, 0.0254, 0.0449, 0.0634, 0.0307, 0.051, 0.1261, 0.0064, 0.01, 0.0218, 0.1187]))
Row(prediction=6.0, features=DenseVector([33.0, 56.0, 31.0]), label=3.0, probability=DenseVector([0.0598, 0.0362, 0.0133, 0.0286, 0.0251, 0.0, 0.7356, 0.017, 0.0294, 0.031, 0.0053, 0.0058, 0.0128, 0.0001]))
Row(prediction=3.0, features=DenseVector([33.0, 57.0, 43.0]), label=3.0, probability=DenseVector([0.0161, 0.0386, 0.1439, 0.2547, 0.025, 0.0256, 0.1814, 0.0191, 0.0406, 0.0986, 0.0074, 0.0093, 0.015, 0.1248]))
Row(prediction=3.0, features=DenseVector([33.0, 60.0, 46.0]), label=3.0, probability=DenseVector([0.0145, 0.0385, 0.1473, 0.2702, 0.0198, 0.0264, 0.1608, 0.0195, 0.0373, 0.0938, 0.0063, 0.0099, 0.019, 0.1367]))
Row(prediction=5.0, features=DenseVector([34.0, 22.0, 51.0]), label=12.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 25.0, 52.0]), label=12.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 25.0, 56.0]), label=1.0, probability=DenseVector([0.0087, 0.2429, 0.1006, 0.1234, 0.0134, 0.2717, 0.0013, 0.034, 0.04, 0.0866, 0.0037, 0.0252, 0.0419, 0.0064]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 51.0]), label=12.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 52.0]), label=12.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 52.0]), label=7.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 44.0]), label=10.0, probability=DenseVector([0.0239, 0.1145, 0.1205, 0.1299, 0.0272, 0.2925, 0.0216, 0.0245, 0.0376, 0.0989, 0.021, 0.0163, 0.0374, 0.0341]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 46.0]), label=8.0, probability=DenseVector([0.0239, 0.1145, 0.1205, 0.1299, 0.0272, 0.2925, 0.0216, 0.0245, 0.0376, 0.0989, 0.021, 0.0163, 0.0374, 0.0341]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 50.0]), label=7.0, probability=DenseVector([0.0212, 0.1252, 0.1458, 0.16, 0.0202, 0.2869, 0.0085, 0.0346, 0.0443, 0.0603, 0.0147, 0.0211, 0.0326, 0.0245]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 55.0]), label=7.0, probability=DenseVector([0.0109, 0.1945, 0.1253, 0.1352, 0.0146, 0.2831, 0.0013, 0.0372, 0.0464, 0.0802, 0.0038, 0.025, 0.0355, 0.007]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([34.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0155, 0.0961, 0.1164, 0.1305, 0.0162, 0.4252, 0.0012, 0.0391, 0.0472, 0.042, 0.0079, 0.0199, 0.0293, 0.0135]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 49.0]), label=0.0, probability=DenseVector([0.028, 0.0987, 0.1339, 0.1695, 0.0315, 0.2844, 0.0107, 0.0348, 0.0475, 0.0608, 0.0233, 0.0183, 0.0319, 0.027]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 51.0]), label=4.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 53.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=10.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 45.0]), label=10.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 49.0]), label=4.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 48.0]), label=4.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=4.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 55.0]), label=0.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 55.0]), label=1.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 50.0]), label=10.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 50.0]), label=4.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=4.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 53.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 53.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 46.0]), label=10.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 47.0]), label=4.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 57.0]), label=4.0, probability=DenseVector([0.03, 0.0655, 0.1487, 0.2229, 0.0264, 0.1782, 0.0102, 0.0486, 0.086, 0.0821, 0.0091, 0.0184, 0.0349, 0.0392]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=4.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 54.0]), label=0.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=6.0, features=DenseVector([34.0, 43.0, 40.0]), label=3.0, probability=DenseVector([0.097, 0.0961, 0.0285, 0.0356, 0.0581, 0.004, 0.3092, 0.006, 0.0193, 0.2505, 0.0618, 0.0126, 0.0189, 0.0024]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 59.0]), label=12.0, probability=DenseVector([0.03, 0.0655, 0.1487, 0.2229, 0.0264, 0.1782, 0.0102, 0.0486, 0.086, 0.0821, 0.0091, 0.0184, 0.0349, 0.0392]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 44.0]), label=4.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 46.0]), label=12.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 48.0]), label=4.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=4.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=9.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 51.0]), label=12.0, probability=DenseVector([0.0267, 0.0536, 0.1899, 0.2836, 0.016, 0.1251, 0.0161, 0.0522, 0.0753, 0.0323, 0.0066, 0.0129, 0.0219, 0.088]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 51.0]), label=2.0, probability=DenseVector([0.0267, 0.0536, 0.1899, 0.2836, 0.016, 0.1251, 0.0161, 0.0522, 0.0753, 0.0323, 0.0066, 0.0129, 0.0219, 0.088]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 54.0]), label=3.0, probability=DenseVector([0.0307, 0.059, 0.1652, 0.2438, 0.0237, 0.183, 0.0088, 0.0541, 0.0852, 0.0567, 0.0069, 0.0141, 0.0275, 0.0414]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 42.0]), label=3.0, probability=DenseVector([0.0361, 0.0522, 0.1581, 0.2704, 0.027, 0.0323, 0.1091, 0.0241, 0.038, 0.0667, 0.0169, 0.0126, 0.0179, 0.1387]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 46.0]), label=4.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 45.0]), label=0.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.0182, 0.036, 0.1822, 0.3279, 0.0182, 0.0421, 0.0452, 0.0262, 0.0456, 0.0551, 0.01, 0.0123, 0.0154, 0.1657]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([34.0, 49.0, 33.0]), label=3.0, probability=DenseVector([0.0711, 0.0616, 0.0216, 0.0418, 0.0292, 0.0002, 0.6375, 0.0143, 0.0303, 0.0521, 0.0156, 0.0073, 0.0152, 0.0022]))
Row(prediction=6.0, features=DenseVector([34.0, 49.0, 39.0]), label=0.0, probability=DenseVector([0.0683, 0.0556, 0.0517, 0.0684, 0.0293, 0.0003, 0.5205, 0.0118, 0.0648, 0.0741, 0.0166, 0.012, 0.024, 0.0025]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([34.0, 51.0, 40.0]), label=0.0, probability=DenseVector([0.0494, 0.0292, 0.0915, 0.1158, 0.0204, 0.0001, 0.4594, 0.0106, 0.1175, 0.0594, 0.0088, 0.0143, 0.0187, 0.0052]))
Row(prediction=6.0, features=DenseVector([34.0, 51.0, 41.0]), label=3.0, probability=DenseVector([0.0351, 0.0284, 0.1194, 0.1954, 0.0166, 0.0055, 0.3438, 0.0129, 0.1102, 0.0548, 0.005, 0.0137, 0.011, 0.0483]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 46.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([34.0, 52.0, 31.0]), label=3.0, probability=DenseVector([0.0638, 0.0438, 0.015, 0.027, 0.0239, 0.0, 0.7128, 0.0152, 0.032, 0.0343, 0.0054, 0.0064, 0.0203, 0.0001]))
Row(prediction=6.0, features=DenseVector([34.0, 52.0, 41.0]), label=2.0, probability=DenseVector([0.0351, 0.0284, 0.1194, 0.1954, 0.0166, 0.0055, 0.3438, 0.0129, 0.1102, 0.0548, 0.005, 0.0137, 0.011, 0.0483]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 45.0]), label=2.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([34.0, 53.0, 30.0]), label=3.0, probability=DenseVector([0.0638, 0.0438, 0.015, 0.027, 0.0239, 0.0, 0.7128, 0.0152, 0.032, 0.0343, 0.0054, 0.0064, 0.0203, 0.0001]))
Row(prediction=6.0, features=DenseVector([34.0, 53.0, 33.0]), label=0.0, probability=DenseVector([0.0638, 0.0438, 0.015, 0.027, 0.0239, 0.0, 0.7128, 0.0152, 0.032, 0.0343, 0.0054, 0.0064, 0.0203, 0.0001]))
Row(prediction=3.0, features=DenseVector([34.0, 53.0, 46.0]), label=2.0, probability=DenseVector([0.0113, 0.0336, 0.175, 0.3674, 0.0187, 0.0267, 0.0433, 0.0185, 0.0436, 0.075, 0.0065, 0.0106, 0.0148, 0.1549]))
Row(prediction=6.0, features=DenseVector([34.0, 54.0, 32.0]), label=3.0, probability=DenseVector([0.0638, 0.0438, 0.015, 0.027, 0.0239, 0.0, 0.7128, 0.0152, 0.032, 0.0343, 0.0054, 0.0064, 0.0203, 0.0001]))
Row(prediction=3.0, features=DenseVector([34.0, 54.0, 48.0]), label=10.0, probability=DenseVector([0.0147, 0.0425, 0.1717, 0.3262, 0.0233, 0.0406, 0.0392, 0.0294, 0.0504, 0.0924, 0.0072, 0.0105, 0.0186, 0.1331]))
Row(prediction=6.0, features=DenseVector([34.0, 55.0, 35.0]), label=0.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([34.0, 56.0, 32.0]), label=12.0, probability=DenseVector([0.0588, 0.041, 0.0138, 0.0245, 0.0216, 0.0, 0.7331, 0.0139, 0.0294, 0.0345, 0.0053, 0.0059, 0.0181, 0.0001]))
Row(prediction=6.0, features=DenseVector([34.0, 56.0, 33.0]), label=3.0, probability=DenseVector([0.0588, 0.041, 0.0138, 0.0245, 0.0216, 0.0, 0.7331, 0.0139, 0.0294, 0.0345, 0.0053, 0.0059, 0.0181, 0.0001]))
Row(prediction=6.0, features=DenseVector([34.0, 56.0, 36.0]), label=0.0, probability=DenseVector([0.0567, 0.0364, 0.0254, 0.0353, 0.0201, 0.0, 0.6684, 0.0111, 0.0443, 0.0554, 0.0078, 0.0083, 0.0307, 0.0001]))
Row(prediction=3.0, features=DenseVector([34.0, 58.0, 44.0]), label=1.0, probability=DenseVector([0.0164, 0.037, 0.153, 0.2717, 0.0222, 0.0264, 0.1361, 0.0198, 0.0389, 0.1077, 0.007, 0.0099, 0.0172, 0.1367]))
Row(prediction=3.0, features=DenseVector([34.0, 58.0, 50.0]), label=3.0, probability=DenseVector([0.0169, 0.0428, 0.1507, 0.2512, 0.0265, 0.0452, 0.0671, 0.0312, 0.0507, 0.1657, 0.0064, 0.0096, 0.0226, 0.1134]))
Row(prediction=3.0, features=DenseVector([34.0, 61.0, 46.0]), label=3.0, probability=DenseVector([0.0145, 0.0385, 0.1473, 0.2702, 0.0198, 0.0264, 0.1608, 0.0195, 0.0373, 0.0938, 0.0063, 0.0099, 0.019, 0.1367]))
Row(prediction=5.0, features=DenseVector([35.0, 19.0, 46.0]), label=1.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([35.0, 26.0, 53.0]), label=12.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 28.0, 52.0]), label=7.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 28.0, 53.0]), label=12.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 28.0, 53.0]), label=12.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 29.0, 52.0]), label=12.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 30.0, 55.0]), label=7.0, probability=DenseVector([0.0109, 0.1945, 0.1253, 0.1352, 0.0146, 0.2831, 0.0013, 0.0372, 0.0464, 0.0802, 0.0038, 0.025, 0.0355, 0.007]))
Row(prediction=5.0, features=DenseVector([35.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 47.0]), label=8.0, probability=DenseVector([0.0239, 0.1145, 0.1205, 0.1299, 0.0272, 0.2925, 0.0216, 0.0245, 0.0376, 0.0989, 0.021, 0.0163, 0.0374, 0.0341]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0155, 0.0961, 0.1164, 0.1305, 0.0162, 0.4252, 0.0012, 0.0391, 0.0472, 0.042, 0.0079, 0.0199, 0.0293, 0.0135]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 52.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 48.0]), label=10.0, probability=DenseVector([0.0299, 0.0812, 0.1202, 0.1768, 0.034, 0.2851, 0.0144, 0.0354, 0.051, 0.0653, 0.0251, 0.0149, 0.0298, 0.037]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 50.0]), label=12.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 50.0]), label=0.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 53.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 53.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 54.0]), label=1.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 56.0]), label=7.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 63.0]), label=4.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 45.0]), label=12.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 56.0]), label=7.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=10.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 55.0]), label=4.0, probability=DenseVector([0.0313, 0.0629, 0.1617, 0.2397, 0.0221, 0.1903, 0.0097, 0.053, 0.0855, 0.0498, 0.0076, 0.016, 0.0286, 0.0417]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=4.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=4.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 53.0]), label=4.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 54.0]), label=3.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 44.0]), label=10.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=4.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 52.0]), label=4.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 53.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=1.0, features=DenseVector([35.0, 43.0, 13.0]), label=1.0, probability=DenseVector([0.0508, 0.4076, 0.0113, 0.0222, 0.0271, 0.0008, 0.3211, 0.003, 0.0083, 0.099, 0.0319, 0.0033, 0.0115, 0.002]))
Row(prediction=1.0, features=DenseVector([35.0, 43.0, 14.0]), label=1.0, probability=DenseVector([0.0508, 0.4076, 0.0113, 0.0222, 0.0271, 0.0008, 0.3211, 0.003, 0.0083, 0.099, 0.0319, 0.0033, 0.0115, 0.002]))
Row(prediction=1.0, features=DenseVector([35.0, 43.0, 14.0]), label=1.0, probability=DenseVector([0.0508, 0.4076, 0.0113, 0.0222, 0.0271, 0.0008, 0.3211, 0.003, 0.0083, 0.099, 0.0319, 0.0033, 0.0115, 0.002]))
Row(prediction=1.0, features=DenseVector([35.0, 43.0, 14.0]), label=1.0, probability=DenseVector([0.0508, 0.4076, 0.0113, 0.0222, 0.0271, 0.0008, 0.3211, 0.003, 0.0083, 0.099, 0.0319, 0.0033, 0.0115, 0.002]))
Row(prediction=1.0, features=DenseVector([35.0, 43.0, 14.0]), label=1.0, probability=DenseVector([0.0508, 0.4076, 0.0113, 0.0222, 0.0271, 0.0008, 0.3211, 0.003, 0.0083, 0.099, 0.0319, 0.0033, 0.0115, 0.002]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 44.0]), label=0.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=4.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=1.0, features=DenseVector([35.0, 44.0, 14.0]), label=1.0, probability=DenseVector([0.0518, 0.4098, 0.0134, 0.0238, 0.0232, 0.0008, 0.3321, 0.0031, 0.0088, 0.0975, 0.0183, 0.0035, 0.0116, 0.0022]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 43.0]), label=3.0, probability=DenseVector([0.0416, 0.0471, 0.1621, 0.2608, 0.0346, 0.0575, 0.0543, 0.0313, 0.0482, 0.0869, 0.0263, 0.021, 0.0206, 0.1076]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 44.0]), label=10.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 47.0]), label=12.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 47.0]), label=4.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 49.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 44.0]), label=3.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=6.0, features=DenseVector([35.0, 46.0, 41.0]), label=0.0, probability=DenseVector([0.0794, 0.093, 0.0736, 0.1104, 0.0479, 0.0084, 0.2452, 0.0117, 0.0285, 0.1904, 0.0372, 0.0154, 0.0166, 0.0422]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 43.0]), label=3.0, probability=DenseVector([0.0182, 0.036, 0.1822, 0.3279, 0.0182, 0.0421, 0.0452, 0.0262, 0.0456, 0.0551, 0.01, 0.0123, 0.0154, 0.1657]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 43.0]), label=3.0, probability=DenseVector([0.0182, 0.036, 0.1822, 0.3279, 0.0182, 0.0421, 0.0452, 0.0262, 0.0456, 0.0551, 0.01, 0.0123, 0.0154, 0.1657]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 46.0]), label=0.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 42.0]), label=3.0, probability=DenseVector([0.0286, 0.049, 0.1623, 0.2903, 0.0237, 0.0322, 0.1012, 0.0229, 0.0425, 0.0635, 0.0137, 0.012, 0.0162, 0.1421]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.0182, 0.036, 0.1822, 0.3279, 0.0182, 0.0421, 0.0452, 0.0262, 0.0456, 0.0551, 0.01, 0.0123, 0.0154, 0.1657]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 51.0]), label=3.0, probability=DenseVector([0.0184, 0.0434, 0.1894, 0.3098, 0.0146, 0.0908, 0.0237, 0.0385, 0.0573, 0.0384, 0.0052, 0.0126, 0.0191, 0.1388]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 47.0]), label=12.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 51.0]), label=3.0, probability=DenseVector([0.0184, 0.0434, 0.1894, 0.3098, 0.0146, 0.0908, 0.0237, 0.0385, 0.0573, 0.0384, 0.0052, 0.0126, 0.0191, 0.1388]))
Row(prediction=6.0, features=DenseVector([35.0, 50.0, 41.0]), label=3.0, probability=DenseVector([0.0533, 0.0557, 0.0852, 0.1492, 0.0263, 0.0057, 0.3942, 0.0153, 0.06, 0.0693, 0.0131, 0.0115, 0.0156, 0.0457]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 52.0]), label=3.0, probability=DenseVector([0.0176, 0.0472, 0.1417, 0.2123, 0.0245, 0.1757, 0.0194, 0.0355, 0.0586, 0.1425, 0.007, 0.0138, 0.0302, 0.0741]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 42.0]), label=2.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 46.0]), label=2.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([35.0, 52.0, 35.0]), label=0.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([35.0, 52.0, 40.0]), label=3.0, probability=DenseVector([0.05, 0.0304, 0.0987, 0.1052, 0.0206, 0.0001, 0.4528, 0.0106, 0.1298, 0.0573, 0.0088, 0.0129, 0.0187, 0.0043]))
Row(prediction=6.0, features=DenseVector([35.0, 52.0, 41.0]), label=3.0, probability=DenseVector([0.0357, 0.0296, 0.1266, 0.1848, 0.0168, 0.0055, 0.3373, 0.0129, 0.1225, 0.0527, 0.005, 0.0123, 0.011, 0.0474]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 42.0]), label=2.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 51.0]), label=3.0, probability=DenseVector([0.015, 0.0367, 0.1795, 0.3572, 0.0156, 0.0722, 0.0323, 0.0284, 0.0621, 0.0459, 0.0041, 0.0107, 0.0167, 0.1236]))
Row(prediction=6.0, features=DenseVector([35.0, 53.0, 31.0]), label=3.0, probability=DenseVector([0.062, 0.0614, 0.0151, 0.0265, 0.0229, 0.0003, 0.6895, 0.0147, 0.0315, 0.0451, 0.0033, 0.0065, 0.021, 0.0001]))
Row(prediction=5.0, features=DenseVector([36.0, 20.0, 47.0]), label=1.0, probability=DenseVector([0.0104, 0.1033, 0.0857, 0.0496, 0.0132, 0.5385, 0.0057, 0.0107, 0.0175, 0.1061, 0.0101, 0.0106, 0.0336, 0.0051]))
Row(prediction=5.0, features=DenseVector([36.0, 21.0, 46.0]), label=1.0, probability=DenseVector([0.0104, 0.1033, 0.0857, 0.0496, 0.0132, 0.5385, 0.0057, 0.0107, 0.0175, 0.1061, 0.0101, 0.0106, 0.0336, 0.0051]))
Row(prediction=1.0, features=DenseVector([36.0, 23.0, 52.0]), label=9.0, probability=DenseVector([0.0205, 0.2493, 0.1476, 0.0984, 0.0158, 0.234, 0.0013, 0.0256, 0.0416, 0.0875, 0.0111, 0.0248, 0.0353, 0.0071]))
Row(prediction=5.0, features=DenseVector([36.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0236, 0.1297, 0.1509, 0.1605, 0.0222, 0.2682, 0.0087, 0.0338, 0.0444, 0.0621, 0.0173, 0.0212, 0.0327, 0.0248]))
Row(prediction=1.0, features=DenseVector([36.0, 27.0, 52.0]), label=12.0, probability=DenseVector([0.0233, 0.249, 0.1496, 0.1044, 0.0183, 0.221, 0.0015, 0.0266, 0.0439, 0.0803, 0.0138, 0.0252, 0.0349, 0.008]))
Row(prediction=1.0, features=DenseVector([36.0, 28.0, 52.0]), label=12.0, probability=DenseVector([0.0233, 0.249, 0.1496, 0.1044, 0.0183, 0.221, 0.0015, 0.0266, 0.0439, 0.0803, 0.0138, 0.0252, 0.0349, 0.008]))
Row(prediction=1.0, features=DenseVector([36.0, 28.0, 52.0]), label=12.0, probability=DenseVector([0.0233, 0.249, 0.1496, 0.1044, 0.0183, 0.221, 0.0015, 0.0266, 0.0439, 0.0803, 0.0138, 0.0252, 0.0349, 0.008]))
Row(prediction=1.0, features=DenseVector([36.0, 29.0, 52.0]), label=12.0, probability=DenseVector([0.0233, 0.249, 0.1496, 0.1044, 0.0183, 0.221, 0.0015, 0.0266, 0.0439, 0.0803, 0.0138, 0.0252, 0.0349, 0.008]))
Row(prediction=1.0, features=DenseVector([36.0, 29.0, 53.0]), label=12.0, probability=DenseVector([0.0233, 0.249, 0.1496, 0.1044, 0.0183, 0.221, 0.0015, 0.0266, 0.0439, 0.0803, 0.0138, 0.0252, 0.0349, 0.008]))
Row(prediction=1.0, features=DenseVector([36.0, 29.0, 54.0]), label=3.0, probability=DenseVector([0.0233, 0.249, 0.1496, 0.1044, 0.0183, 0.221, 0.0015, 0.0266, 0.0439, 0.0803, 0.0138, 0.0252, 0.0349, 0.008]))
Row(prediction=5.0, features=DenseVector([36.0, 30.0, 53.0]), label=2.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 30.0, 55.0]), label=7.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 30.0, 55.0]), label=7.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.149, 0.1503, 0.1352, 0.0259, 0.2834, 0.0059, 0.0276, 0.0425, 0.0639, 0.0223, 0.0211, 0.0324, 0.0123]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.149, 0.1503, 0.1352, 0.0259, 0.2834, 0.0059, 0.0276, 0.0425, 0.0639, 0.0223, 0.0211, 0.0324, 0.0123]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 47.0]), label=10.0, probability=DenseVector([0.0333, 0.0928, 0.1237, 0.1453, 0.043, 0.2607, 0.02, 0.0235, 0.0384, 0.1001, 0.0368, 0.0159, 0.0305, 0.036]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0292, 0.1091, 0.1423, 0.1665, 0.031, 0.2741, 0.01, 0.0331, 0.0458, 0.0571, 0.0257, 0.0177, 0.031, 0.0273]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 51.0]), label=4.0, probability=DenseVector([0.0315, 0.1287, 0.1412, 0.1371, 0.0297, 0.3105, 0.0059, 0.028, 0.0437, 0.0541, 0.0269, 0.0173, 0.0305, 0.0149]))
Row(prediction=5.0, features=DenseVector([36.0, 35.0, 53.0]), label=9.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 35.0, 54.0]), label=2.0, probability=DenseVector([0.035, 0.12, 0.1306, 0.1278, 0.0323, 0.3474, 0.0016, 0.0304, 0.0475, 0.0402, 0.0271, 0.0148, 0.0268, 0.0183]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 46.0]), label=4.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 48.0]), label=10.0, probability=DenseVector([0.0336, 0.0855, 0.1233, 0.1726, 0.0391, 0.2657, 0.0162, 0.0337, 0.048, 0.0687, 0.0327, 0.015, 0.0294, 0.0362]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 48.0]), label=10.0, probability=DenseVector([0.0336, 0.0855, 0.1233, 0.1726, 0.0391, 0.2657, 0.0162, 0.0337, 0.048, 0.0687, 0.0327, 0.015, 0.0294, 0.0362]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 50.0]), label=10.0, probability=DenseVector([0.032, 0.0946, 0.1386, 0.171, 0.0329, 0.2856, 0.0094, 0.0347, 0.0508, 0.0478, 0.0277, 0.0162, 0.0286, 0.0302]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 53.0]), label=0.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 54.0]), label=10.0, probability=DenseVector([0.035, 0.12, 0.1306, 0.1278, 0.0323, 0.3474, 0.0016, 0.0304, 0.0475, 0.0402, 0.0271, 0.0148, 0.0268, 0.0183]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 51.0]), label=0.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 52.0]), label=10.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 52.0]), label=4.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=9.0, features=DenseVector([36.0, 38.0, 39.0]), label=10.0, probability=DenseVector([0.0544, 0.0763, 0.014, 0.0106, 0.0421, 0.024, 0.1619, 0.005, 0.0121, 0.4367, 0.0438, 0.092, 0.0272, 0.0001]))
Row(prediction=9.0, features=DenseVector([36.0, 38.0, 41.0]), label=10.0, probability=DenseVector([0.0505, 0.0814, 0.0356, 0.0502, 0.0517, 0.0627, 0.0832, 0.0113, 0.0232, 0.3969, 0.0493, 0.0689, 0.03, 0.0052]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 42.0]), label=4.0, probability=DenseVector([0.0456, 0.0752, 0.0994, 0.1311, 0.0512, 0.1836, 0.046, 0.0217, 0.0378, 0.1687, 0.0539, 0.0222, 0.0278, 0.0359]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 47.0]), label=3.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 51.0]), label=4.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=10.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=4.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 54.0]), label=2.0, probability=DenseVector([0.035, 0.12, 0.1306, 0.1278, 0.0323, 0.3474, 0.0016, 0.0304, 0.0475, 0.0402, 0.0271, 0.0148, 0.0268, 0.0183]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 57.0]), label=4.0, probability=DenseVector([0.034, 0.1219, 0.1298, 0.1256, 0.0342, 0.3372, 0.0017, 0.0296, 0.0494, 0.0473, 0.0274, 0.0158, 0.0282, 0.0177]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 45.0]), label=3.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 48.0]), label=4.0, probability=DenseVector([0.0361, 0.081, 0.1341, 0.1575, 0.0406, 0.2648, 0.0166, 0.036, 0.0491, 0.0705, 0.0335, 0.0167, 0.0273, 0.0362]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=0.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 49.0]), label=4.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=10.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=12.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=12.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=4.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=4.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=9.0, features=DenseVector([36.0, 41.0, 41.0]), label=10.0, probability=DenseVector([0.0629, 0.1019, 0.032, 0.0435, 0.0496, 0.0271, 0.1119, 0.0144, 0.0236, 0.3808, 0.0491, 0.0712, 0.0273, 0.0046]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 50.0]), label=4.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 50.0]), label=4.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=4.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=4.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=4.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 53.0]), label=4.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 54.0]), label=8.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 54.0]), label=4.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=9.0, features=DenseVector([36.0, 42.0, 13.0]), label=1.0, probability=DenseVector([0.0421, 0.2373, 0.0086, 0.0061, 0.026, 0.0022, 0.1982, 0.0037, 0.0053, 0.3984, 0.0294, 0.0233, 0.0193, 0.0001]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 45.0]), label=3.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=4.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=4.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=4.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 52.0]), label=4.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 53.0]), label=12.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=1.0, features=DenseVector([36.0, 43.0, 13.0]), label=1.0, probability=DenseVector([0.0333, 0.5055, 0.0106, 0.0144, 0.0197, 0.0007, 0.266, 0.0015, 0.0057, 0.1028, 0.0239, 0.0034, 0.0102, 0.0022]))
Row(prediction=1.0, features=DenseVector([36.0, 43.0, 14.0]), label=1.0, probability=DenseVector([0.0333, 0.5055, 0.0106, 0.0144, 0.0197, 0.0007, 0.266, 0.0015, 0.0057, 0.1028, 0.0239, 0.0034, 0.0102, 0.0022]))
Row(prediction=1.0, features=DenseVector([36.0, 43.0, 14.0]), label=1.0, probability=DenseVector([0.0333, 0.5055, 0.0106, 0.0144, 0.0197, 0.0007, 0.266, 0.0015, 0.0057, 0.1028, 0.0239, 0.0034, 0.0102, 0.0022]))
Row(prediction=1.0, features=DenseVector([36.0, 43.0, 14.0]), label=1.0, probability=DenseVector([0.0333, 0.5055, 0.0106, 0.0144, 0.0197, 0.0007, 0.266, 0.0015, 0.0057, 0.1028, 0.0239, 0.0034, 0.0102, 0.0022]))
Row(prediction=1.0, features=DenseVector([36.0, 43.0, 14.0]), label=1.0, probability=DenseVector([0.0333, 0.5055, 0.0106, 0.0144, 0.0197, 0.0007, 0.266, 0.0015, 0.0057, 0.1028, 0.0239, 0.0034, 0.0102, 0.0022]))
Row(prediction=1.0, features=DenseVector([36.0, 43.0, 15.0]), label=1.0, probability=DenseVector([0.0333, 0.5055, 0.0106, 0.0144, 0.0197, 0.0007, 0.266, 0.0015, 0.0057, 0.1028, 0.0239, 0.0034, 0.0102, 0.0022]))
Row(prediction=1.0, features=DenseVector([36.0, 43.0, 15.0]), label=1.0, probability=DenseVector([0.0333, 0.5055, 0.0106, 0.0144, 0.0197, 0.0007, 0.266, 0.0015, 0.0057, 0.1028, 0.0239, 0.0034, 0.0102, 0.0022]))
Row(prediction=1.0, features=DenseVector([36.0, 43.0, 15.0]), label=1.0, probability=DenseVector([0.0333, 0.5055, 0.0106, 0.0144, 0.0197, 0.0007, 0.266, 0.0015, 0.0057, 0.1028, 0.0239, 0.0034, 0.0102, 0.0022]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 42.0]), label=0.0, probability=DenseVector([0.0503, 0.0673, 0.1309, 0.2079, 0.045, 0.044, 0.0959, 0.0249, 0.0407, 0.12, 0.0461, 0.0219, 0.0221, 0.0831]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 47.0]), label=12.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 47.0]), label=4.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 48.0]), label=12.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 51.0]), label=4.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=1.0, features=DenseVector([36.0, 44.0, 13.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=1.0, features=DenseVector([36.0, 44.0, 14.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=1.0, features=DenseVector([36.0, 44.0, 15.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=1.0, features=DenseVector([36.0, 44.0, 15.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 43.0]), label=10.0, probability=DenseVector([0.0404, 0.0557, 0.1626, 0.2536, 0.0334, 0.0575, 0.0551, 0.0312, 0.0479, 0.0874, 0.0257, 0.0212, 0.0205, 0.1078]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 53.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=1.0, features=DenseVector([36.0, 45.0, 13.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=1.0, features=DenseVector([36.0, 45.0, 13.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 42.0]), label=10.0, probability=DenseVector([0.0464, 0.0628, 0.1426, 0.2247, 0.0363, 0.0374, 0.1075, 0.0234, 0.0381, 0.1099, 0.0275, 0.0214, 0.0192, 0.1029]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=6.0, features=DenseVector([36.0, 46.0, 41.0]), label=12.0, probability=DenseVector([0.0702, 0.1013, 0.0706, 0.1033, 0.0435, 0.0082, 0.2309, 0.0099, 0.0261, 0.2254, 0.0339, 0.019, 0.0154, 0.0424]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 52.0]), label=3.0, probability=DenseVector([0.0276, 0.0834, 0.1617, 0.2526, 0.0264, 0.1318, 0.0144, 0.0367, 0.076, 0.0524, 0.0119, 0.0167, 0.0282, 0.0803]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 42.0]), label=2.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([36.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([36.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([36.0, 51.0, 48.0]), label=12.0, probability=DenseVector([0.0142, 0.0364, 0.1824, 0.3651, 0.017, 0.0406, 0.0362, 0.0279, 0.0543, 0.0509, 0.0061, 0.011, 0.0163, 0.1416]))
Row(prediction=3.0, features=DenseVector([36.0, 52.0, 43.0]), label=1.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=6.0, features=DenseVector([36.0, 56.0, 40.0]), label=2.0, probability=DenseVector([0.0487, 0.0382, 0.0499, 0.057, 0.0218, 0.0, 0.5899, 0.0103, 0.0726, 0.0724, 0.0077, 0.0112, 0.0172, 0.003]))
Row(prediction=6.0, features=DenseVector([36.0, 57.0, 36.0]), label=12.0, probability=DenseVector([0.0464, 0.0285, 0.0183, 0.0255, 0.0171, 0.0, 0.7391, 0.0095, 0.0326, 0.0496, 0.0072, 0.0062, 0.0196, 0.0001]))
Row(prediction=6.0, features=DenseVector([36.0, 58.0, 38.0]), label=1.0, probability=DenseVector([0.0461, 0.0279, 0.0247, 0.0313, 0.0167, 0.0, 0.7173, 0.0088, 0.0403, 0.0522, 0.0075, 0.0075, 0.0195, 0.0001]))
Row(prediction=9.0, features=DenseVector([37.0, 12.0, 25.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=9.0, features=DenseVector([37.0, 17.0, 30.0]), label=9.0, probability=DenseVector([0.0199, 0.1355, 0.0101, 0.0084, 0.0194, 0.0269, 0.073, 0.0021, 0.0054, 0.619, 0.0083, 0.0295, 0.0424, 0.0001]))
Row(prediction=5.0, features=DenseVector([37.0, 20.0, 45.0]), label=2.0, probability=DenseVector([0.0104, 0.1033, 0.0857, 0.0496, 0.0132, 0.5385, 0.0057, 0.0107, 0.0175, 0.1061, 0.0101, 0.0106, 0.0336, 0.0051]))
Row(prediction=5.0, features=DenseVector([37.0, 20.0, 45.0]), label=2.0, probability=DenseVector([0.0104, 0.1033, 0.0857, 0.0496, 0.0132, 0.5385, 0.0057, 0.0107, 0.0175, 0.1061, 0.0101, 0.0106, 0.0336, 0.0051]))
Row(prediction=5.0, features=DenseVector([37.0, 22.0, 48.0]), label=1.0, probability=DenseVector([0.0145, 0.1329, 0.1127, 0.0962, 0.0164, 0.4055, 0.0082, 0.0194, 0.0287, 0.0969, 0.0114, 0.0159, 0.0346, 0.0066]))
Row(prediction=5.0, features=DenseVector([37.0, 25.0, 48.0]), label=12.0, probability=DenseVector([0.0145, 0.1329, 0.1127, 0.0962, 0.0164, 0.4055, 0.0082, 0.0194, 0.0287, 0.0969, 0.0114, 0.0159, 0.0346, 0.0066]))
Row(prediction=5.0, features=DenseVector([37.0, 27.0, 48.0]), label=9.0, probability=DenseVector([0.0224, 0.1188, 0.1367, 0.156, 0.0227, 0.2783, 0.0133, 0.031, 0.0415, 0.0788, 0.0172, 0.0182, 0.0334, 0.0318]))
Row(prediction=5.0, features=DenseVector([37.0, 27.0, 52.0]), label=12.0, probability=DenseVector([0.0247, 0.209, 0.1706, 0.1007, 0.0199, 0.2148, 0.0014, 0.0252, 0.0439, 0.1061, 0.0138, 0.0282, 0.0337, 0.008]))
Row(prediction=5.0, features=DenseVector([37.0, 28.0, 48.0]), label=9.0, probability=DenseVector([0.0224, 0.1188, 0.1367, 0.156, 0.0227, 0.2783, 0.0133, 0.031, 0.0415, 0.0788, 0.0172, 0.0182, 0.0334, 0.0318]))
Row(prediction=5.0, features=DenseVector([37.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0247, 0.209, 0.1706, 0.1007, 0.0199, 0.2148, 0.0014, 0.0252, 0.0439, 0.1061, 0.0138, 0.0282, 0.0337, 0.008]))
Row(prediction=5.0, features=DenseVector([37.0, 29.0, 53.0]), label=2.0, probability=DenseVector([0.0247, 0.209, 0.1706, 0.1007, 0.0199, 0.2148, 0.0014, 0.0252, 0.0439, 0.1061, 0.0138, 0.0282, 0.0337, 0.008]))
Row(prediction=5.0, features=DenseVector([37.0, 30.0, 52.0]), label=12.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 31.0, 53.0]), label=7.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0236, 0.1297, 0.1509, 0.1605, 0.0222, 0.2682, 0.0087, 0.0338, 0.0444, 0.0621, 0.0173, 0.0212, 0.0327, 0.0248]))
Row(prediction=5.0, features=DenseVector([37.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.149, 0.1503, 0.1352, 0.0259, 0.2834, 0.0059, 0.0276, 0.0425, 0.0639, 0.0223, 0.0211, 0.0324, 0.0123]))
Row(prediction=5.0, features=DenseVector([37.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=9.0, features=DenseVector([37.0, 34.0, 26.0]), label=1.0, probability=DenseVector([0.0314, 0.1654, 0.0088, 0.0051, 0.0243, 0.0217, 0.147, 0.0044, 0.0052, 0.5065, 0.0251, 0.0283, 0.0267, 0.0]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 49.0]), label=3.0, probability=DenseVector([0.0292, 0.1091, 0.1423, 0.1665, 0.031, 0.2741, 0.01, 0.0331, 0.0458, 0.0571, 0.0257, 0.0177, 0.031, 0.0273]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0315, 0.1287, 0.1412, 0.1371, 0.0297, 0.3105, 0.0059, 0.028, 0.0437, 0.0541, 0.0269, 0.0173, 0.0305, 0.0149]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 52.0]), label=4.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.0307, 0.1016, 0.141, 0.1694, 0.0321, 0.2772, 0.0095, 0.0342, 0.0492, 0.0528, 0.0267, 0.0168, 0.0298, 0.0289]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 50.0]), label=4.0, probability=DenseVector([0.0307, 0.1016, 0.141, 0.1694, 0.0321, 0.2772, 0.0095, 0.0342, 0.0492, 0.0528, 0.0267, 0.0168, 0.0298, 0.0289]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0329, 0.1212, 0.1399, 0.14, 0.0308, 0.3136, 0.0055, 0.0291, 0.0471, 0.0498, 0.0279, 0.0163, 0.0292, 0.0166]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 52.0]), label=0.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 48.0]), label=4.0, probability=DenseVector([0.0336, 0.0855, 0.1233, 0.1726, 0.0391, 0.2657, 0.0162, 0.0337, 0.048, 0.0687, 0.0327, 0.015, 0.0294, 0.0362]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 53.0]), label=10.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=9.0, features=DenseVector([37.0, 37.0, 33.0]), label=2.0, probability=DenseVector([0.0457, 0.1072, 0.0111, 0.0068, 0.0327, 0.0236, 0.1458, 0.0055, 0.0078, 0.5208, 0.0352, 0.0293, 0.0285, 0.0001]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 45.0]), label=3.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 46.0]), label=3.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 50.0]), label=4.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 52.0]), label=10.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 55.0]), label=2.0, probability=DenseVector([0.039, 0.1254, 0.1266, 0.1198, 0.0384, 0.3275, 0.002, 0.0278, 0.0483, 0.0541, 0.0292, 0.0163, 0.029, 0.0165]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 56.0]), label=2.0, probability=DenseVector([0.039, 0.1254, 0.1266, 0.1198, 0.0384, 0.3275, 0.002, 0.0278, 0.0483, 0.0541, 0.0292, 0.0163, 0.029, 0.0165]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 47.0]), label=10.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 48.0]), label=4.0, probability=DenseVector([0.0361, 0.081, 0.1341, 0.1575, 0.0406, 0.2648, 0.0166, 0.036, 0.0491, 0.0705, 0.0335, 0.0167, 0.0273, 0.0362]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 52.0]), label=10.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 55.0]), label=4.0, probability=DenseVector([0.039, 0.1254, 0.1266, 0.1198, 0.0384, 0.3275, 0.002, 0.0278, 0.0483, 0.0541, 0.0292, 0.0163, 0.029, 0.0165]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 46.0]), label=10.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 46.0]), label=3.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 50.0]), label=0.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 53.0]), label=4.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 54.0]), label=3.0, probability=DenseVector([0.0385, 0.119, 0.1229, 0.1286, 0.0365, 0.3337, 0.0018, 0.0288, 0.0536, 0.047, 0.0275, 0.0149, 0.0287, 0.0185]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=0.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 55.0]), label=4.0, probability=DenseVector([0.0364, 0.0851, 0.1581, 0.2335, 0.0275, 0.1551, 0.0094, 0.0431, 0.0972, 0.0528, 0.0139, 0.0144, 0.029, 0.0444]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 49.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 51.0]), label=4.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 51.0]), label=4.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 51.0]), label=4.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=1.0, features=DenseVector([37.0, 43.0, 14.0]), label=1.0, probability=DenseVector([0.0333, 0.5055, 0.0106, 0.0144, 0.0197, 0.0007, 0.266, 0.0015, 0.0057, 0.1028, 0.0239, 0.0034, 0.0102, 0.0022]))
Row(prediction=9.0, features=DenseVector([37.0, 43.0, 41.0]), label=3.0, probability=DenseVector([0.0769, 0.1086, 0.0503, 0.0701, 0.0565, 0.0151, 0.2087, 0.0095, 0.0228, 0.2699, 0.0567, 0.0226, 0.0195, 0.0129]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 44.0]), label=10.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 44.0]), label=3.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 43.0]), label=3.0, probability=DenseVector([0.0389, 0.0517, 0.1652, 0.2583, 0.033, 0.0532, 0.0556, 0.0297, 0.0453, 0.0875, 0.0251, 0.0205, 0.0191, 0.117]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 49.0]), label=4.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 42.0]), label=3.0, probability=DenseVector([0.0335, 0.0603, 0.1558, 0.2632, 0.0241, 0.0321, 0.1051, 0.0229, 0.0367, 0.0805, 0.0155, 0.0138, 0.0176, 0.1389]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 47.0]), label=12.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 43.0]), label=3.0, probability=DenseVector([0.017, 0.0446, 0.1827, 0.3207, 0.017, 0.042, 0.0459, 0.026, 0.0453, 0.0556, 0.0094, 0.0125, 0.0153, 0.1659]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 42.0]), label=3.0, probability=DenseVector([0.026, 0.0571, 0.1599, 0.2831, 0.0208, 0.0321, 0.0972, 0.0217, 0.0411, 0.0773, 0.0122, 0.0132, 0.016, 0.1423]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.017, 0.0446, 0.1827, 0.3207, 0.017, 0.042, 0.0459, 0.026, 0.0453, 0.0556, 0.0094, 0.0125, 0.0153, 0.1659]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.017, 0.0446, 0.1827, 0.3207, 0.017, 0.042, 0.0459, 0.026, 0.0453, 0.0556, 0.0094, 0.0125, 0.0153, 0.1659]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([37.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([37.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([37.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0113, 0.0307, 0.1754, 0.363, 0.0174, 0.0266, 0.0476, 0.0185, 0.0463, 0.0753, 0.0068, 0.012, 0.0141, 0.1549]))
Row(prediction=3.0, features=DenseVector([37.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0113, 0.0307, 0.1754, 0.363, 0.0174, 0.0266, 0.0476, 0.0185, 0.0463, 0.0753, 0.0068, 0.012, 0.0141, 0.1549]))
Row(prediction=3.0, features=DenseVector([37.0, 51.0, 46.0]), label=3.0, probability=DenseVector([0.0113, 0.0307, 0.1754, 0.363, 0.0174, 0.0266, 0.0476, 0.0185, 0.0463, 0.0753, 0.0068, 0.012, 0.0141, 0.1549]))
Row(prediction=6.0, features=DenseVector([37.0, 52.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=3.0, features=DenseVector([37.0, 52.0, 44.0]), label=3.0, probability=DenseVector([0.0113, 0.0307, 0.1754, 0.363, 0.0174, 0.0266, 0.0476, 0.0185, 0.0463, 0.0753, 0.0068, 0.012, 0.0141, 0.1549]))
Row(prediction=3.0, features=DenseVector([37.0, 54.0, 43.0]), label=3.0, probability=DenseVector([0.0138, 0.035, 0.1652, 0.3305, 0.0198, 0.0258, 0.0837, 0.0188, 0.0467, 0.0867, 0.0072, 0.0125, 0.0144, 0.1399]))
Row(prediction=6.0, features=DenseVector([37.0, 58.0, 40.0]), label=1.0, probability=DenseVector([0.0434, 0.0343, 0.0401, 0.0406, 0.0191, 0.0, 0.6634, 0.0095, 0.0609, 0.0588, 0.0072, 0.0089, 0.0124, 0.0013]))
Row(prediction=6.0, features=DenseVector([37.0, 62.0, 35.0]), label=3.0, probability=DenseVector([0.0449, 0.0282, 0.0168, 0.0221, 0.0172, 0.0, 0.7601, 0.01, 0.0288, 0.0414, 0.0064, 0.0054, 0.0186, 0.0001]))
Row(prediction=9.0, features=DenseVector([38.0, 13.0, 29.0]), label=9.0, probability=DenseVector([0.0147, 0.1482, 0.0089, 0.0073, 0.015, 0.0251, 0.0865, 0.0018, 0.0041, 0.6123, 0.0054, 0.0288, 0.0417, 0.0]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 47.0]), label=1.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 19.0, 48.0]), label=1.0, probability=DenseVector([0.0122, 0.1122, 0.1319, 0.0453, 0.0143, 0.4921, 0.0046, 0.0092, 0.0157, 0.0989, 0.0109, 0.0195, 0.0288, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 20.0, 47.0]), label=2.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([38.0, 20.0, 49.0]), label=1.0, probability=DenseVector([0.014, 0.1114, 0.1503, 0.056, 0.0149, 0.4704, 0.0023, 0.0117, 0.019, 0.083, 0.012, 0.0218, 0.0273, 0.006]))
Row(prediction=5.0, features=DenseVector([38.0, 23.0, 48.0]), label=2.0, probability=DenseVector([0.0168, 0.1289, 0.1573, 0.0713, 0.0185, 0.3835, 0.0073, 0.0153, 0.0254, 0.101, 0.0135, 0.0244, 0.0308, 0.0058]))
Row(prediction=5.0, features=DenseVector([38.0, 25.0, 49.0]), label=9.0, probability=DenseVector([0.0186, 0.1282, 0.1757, 0.082, 0.0191, 0.3617, 0.005, 0.0178, 0.0287, 0.0851, 0.0146, 0.0268, 0.0292, 0.0074]))
Row(prediction=5.0, features=DenseVector([38.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([38.0, 29.0, 52.0]), label=12.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=2.0, features=DenseVector([38.0, 29.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=2.0, features=DenseVector([38.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 30.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 31.0, 47.0]), label=0.0, probability=DenseVector([0.0283, 0.1193, 0.1414, 0.1266, 0.0308, 0.2559, 0.0219, 0.0223, 0.0366, 0.1029, 0.0253, 0.0182, 0.0367, 0.0336]))
Row(prediction=2.0, features=DenseVector([38.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 32.0, 49.0]), label=3.0, probability=DenseVector([0.0255, 0.1178, 0.1912, 0.1283, 0.0243, 0.267, 0.0081, 0.0279, 0.0398, 0.0692, 0.0194, 0.0286, 0.0292, 0.0239]))
Row(prediction=5.0, features=DenseVector([38.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0315, 0.1051, 0.1869, 0.1416, 0.0331, 0.2522, 0.009, 0.029, 0.0426, 0.0612, 0.0278, 0.0262, 0.0272, 0.0265]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 53.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 49.0]), label=10.0, probability=DenseVector([0.0329, 0.0976, 0.1856, 0.1445, 0.0342, 0.2553, 0.0086, 0.0301, 0.046, 0.057, 0.0288, 0.0253, 0.0259, 0.0282]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0329, 0.0976, 0.1856, 0.1445, 0.0342, 0.2553, 0.0086, 0.0301, 0.046, 0.057, 0.0288, 0.0253, 0.0259, 0.0282]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 53.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 43.0]), label=4.0, probability=DenseVector([0.0379, 0.0779, 0.1308, 0.1415, 0.0459, 0.2344, 0.0215, 0.0229, 0.0407, 0.1215, 0.0397, 0.0201, 0.0276, 0.0375]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 43.0]), label=1.0, probability=DenseVector([0.0379, 0.0779, 0.1308, 0.1415, 0.0459, 0.2344, 0.0215, 0.0229, 0.0407, 0.1215, 0.0397, 0.0201, 0.0276, 0.0375]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 47.0]), label=1.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 51.0]), label=10.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=10.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 61.0]), label=4.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 45.0]), label=0.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 48.0]), label=10.0, probability=DenseVector([0.0382, 0.0814, 0.1499, 0.1537, 0.0422, 0.2468, 0.0167, 0.0346, 0.048, 0.0728, 0.0353, 0.0185, 0.0266, 0.0355]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=4.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 53.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 44.0]), label=12.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 49.0]), label=0.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=9.0, features=DenseVector([38.0, 40.0, 40.0]), label=10.0, probability=DenseVector([0.0634, 0.0778, 0.0129, 0.0111, 0.044, 0.0066, 0.1879, 0.0046, 0.0126, 0.4156, 0.0471, 0.092, 0.0244, 0.0001]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 47.0]), label=10.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 47.0]), label=10.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 52.0]), label=0.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 44.0]), label=10.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 46.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 53.0]), label=12.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 42.0]), label=10.0, probability=DenseVector([0.0503, 0.0673, 0.1309, 0.2079, 0.045, 0.044, 0.0959, 0.0249, 0.0407, 0.12, 0.0461, 0.0219, 0.0221, 0.0831]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=12.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 51.0]), label=2.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 45.0]), label=2.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 51.0]), label=4.0, probability=DenseVector([0.0275, 0.0565, 0.1852, 0.287, 0.0184, 0.1013, 0.0159, 0.048, 0.0907, 0.0366, 0.0075, 0.0125, 0.0231, 0.0897]))
Row(prediction=1.0, features=DenseVector([38.0, 46.0, 13.0]), label=1.0, probability=DenseVector([0.0372, 0.4572, 0.0128, 0.0165, 0.0163, 0.0007, 0.3161, 0.0024, 0.0069, 0.1066, 0.0104, 0.0038, 0.0107, 0.0024]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 42.0]), label=3.0, probability=DenseVector([0.026, 0.0571, 0.1599, 0.2831, 0.0208, 0.0321, 0.0972, 0.0217, 0.0411, 0.0773, 0.0122, 0.0132, 0.016, 0.1423]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 34.0]), label=12.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 34.0]), label=12.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=3.0, features=DenseVector([38.0, 51.0, 42.0]), label=2.0, probability=DenseVector([0.0109, 0.0357, 0.1488, 0.2796, 0.0224, 0.0258, 0.0899, 0.0176, 0.0397, 0.1585, 0.0077, 0.016, 0.0181, 0.1292]))
Row(prediction=3.0, features=DenseVector([38.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0108, 0.0363, 0.1512, 0.2742, 0.0224, 0.0265, 0.0876, 0.0183, 0.0349, 0.1575, 0.0077, 0.0162, 0.0189, 0.1375]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 34.0]), label=12.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 34.0]), label=12.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 28.0]), label=12.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 31.0]), label=12.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 34.0]), label=12.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=3.0, features=DenseVector([38.0, 55.0, 45.0]), label=1.0, probability=DenseVector([0.0114, 0.0353, 0.1534, 0.2805, 0.0212, 0.0265, 0.0892, 0.0183, 0.0357, 0.1495, 0.0068, 0.0159, 0.0172, 0.1391]))
Row(prediction=5.0, features=DenseVector([39.0, 18.0, 45.0]), label=9.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=5.0, features=DenseVector([39.0, 22.0, 49.0]), label=1.0, probability=DenseVector([0.0186, 0.1282, 0.1757, 0.082, 0.0191, 0.3617, 0.005, 0.0178, 0.0287, 0.0851, 0.0146, 0.0268, 0.0292, 0.0074]))
Row(prediction=5.0, features=DenseVector([39.0, 24.0, 51.0]), label=2.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=2.0, features=DenseVector([39.0, 24.0, 52.0]), label=2.0, probability=DenseVector([0.0239, 0.1933, 0.2108, 0.0858, 0.0188, 0.2022, 0.0012, 0.0222, 0.0398, 0.1164, 0.0128, 0.0343, 0.032, 0.0064]))
Row(prediction=5.0, features=DenseVector([39.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 25.0, 51.0]), label=2.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=2.0, features=DenseVector([39.0, 25.0, 52.0]), label=2.0, probability=DenseVector([0.0239, 0.1933, 0.2108, 0.0858, 0.0188, 0.2022, 0.0012, 0.0222, 0.0398, 0.1164, 0.0128, 0.0343, 0.032, 0.0064]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.1361, 0.18, 0.0894, 0.0191, 0.341, 0.0048, 0.0196, 0.0301, 0.0822, 0.0145, 0.0278, 0.0289, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([39.0, 27.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=2.0, features=DenseVector([39.0, 27.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=2.0, features=DenseVector([39.0, 27.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=2.0, features=DenseVector([39.0, 27.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=5.0, features=DenseVector([39.0, 28.0, 49.0]), label=9.0, probability=DenseVector([0.0255, 0.1178, 0.1912, 0.1283, 0.0243, 0.267, 0.0081, 0.0279, 0.0398, 0.0692, 0.0194, 0.0286, 0.0292, 0.0239]))
Row(prediction=5.0, features=DenseVector([39.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=5.0, features=DenseVector([39.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=1.0, features=DenseVector([39.0, 28.0, 53.0]), label=2.0, probability=DenseVector([0.0273, 0.1962, 0.1854, 0.0923, 0.0229, 0.1897, 0.0017, 0.0226, 0.0415, 0.1349, 0.0156, 0.0305, 0.0321, 0.0073]))
Row(prediction=5.0, features=DenseVector([39.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 29.0, 51.0]), label=9.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([39.0, 29.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=2.0, features=DenseVector([39.0, 29.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.1931, 0.2128, 0.0919, 0.0213, 0.1892, 0.0014, 0.0233, 0.0421, 0.1092, 0.0156, 0.0347, 0.0316, 0.0073]))
Row(prediction=5.0, features=DenseVector([39.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([39.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 30.0, 53.0]), label=2.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([39.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([39.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.145, 0.1948, 0.1103, 0.028, 0.2615, 0.005, 0.0235, 0.0392, 0.068, 0.0244, 0.0296, 0.0286, 0.0115]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 51.0]), label=0.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 51.0]), label=10.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 51.0]), label=10.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.042, 0.1239, 0.1433, 0.1181, 0.0382, 0.3197, 0.0019, 0.0272, 0.0453, 0.0493, 0.0307, 0.017, 0.0269, 0.0164]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 44.0]), label=4.0, probability=DenseVector([0.0368, 0.0857, 0.1383, 0.1443, 0.0457, 0.2459, 0.0196, 0.0232, 0.0407, 0.0981, 0.0395, 0.0168, 0.0285, 0.037]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 45.0]), label=4.0, probability=DenseVector([0.0368, 0.0857, 0.1383, 0.1443, 0.0457, 0.2459, 0.0196, 0.0232, 0.0407, 0.0981, 0.0395, 0.0168, 0.0285, 0.037]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 50.0]), label=10.0, probability=DenseVector([0.0329, 0.0976, 0.1856, 0.1445, 0.0342, 0.2553, 0.0086, 0.0301, 0.046, 0.057, 0.0288, 0.0253, 0.0259, 0.0282]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=0.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 53.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 53.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=4.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 49.0]), label=4.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 53.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=10.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 43.0]), label=12.0, probability=DenseVector([0.0438, 0.0694, 0.1473, 0.2288, 0.0379, 0.0693, 0.0339, 0.0356, 0.0512, 0.1146, 0.0307, 0.024, 0.0235, 0.0901]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=10.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=10.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 53.0]), label=1.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 51.0]), label=4.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 51.0]), label=3.0, probability=DenseVector([0.0275, 0.0565, 0.1852, 0.287, 0.0184, 0.1013, 0.0159, 0.048, 0.0907, 0.0366, 0.0075, 0.0125, 0.0231, 0.0897]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 53.0]), label=3.0, probability=DenseVector([0.0286, 0.0793, 0.1605, 0.2533, 0.025, 0.1308, 0.0145, 0.0354, 0.0856, 0.0525, 0.0125, 0.0161, 0.0269, 0.0791]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 51.0]), label=9.0, probability=DenseVector([0.0191, 0.0464, 0.1846, 0.3132, 0.0169, 0.067, 0.0236, 0.0343, 0.0727, 0.0426, 0.0062, 0.0123, 0.0203, 0.1405]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([39.0, 49.0, 50.0]), label=12.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 36.0]), label=12.0, probability=DenseVector([0.0671, 0.0657, 0.0394, 0.053, 0.0271, 0.0002, 0.5486, 0.0115, 0.0523, 0.0825, 0.0144, 0.0112, 0.0243, 0.0027]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 38.0]), label=1.0, probability=DenseVector([0.064, 0.0645, 0.0431, 0.0551, 0.0271, 0.0002, 0.5253, 0.0106, 0.0557, 0.0993, 0.0148, 0.0128, 0.0249, 0.0027]))
Row(prediction=3.0, features=DenseVector([39.0, 50.0, 42.0]), label=2.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=6.0, features=DenseVector([39.0, 51.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=3.0, features=DenseVector([39.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0109, 0.0357, 0.1488, 0.2796, 0.0224, 0.0258, 0.0899, 0.0176, 0.0397, 0.1585, 0.0077, 0.016, 0.0181, 0.1292]))
Row(prediction=3.0, features=DenseVector([39.0, 51.0, 46.0]), label=3.0, probability=DenseVector([0.0108, 0.0363, 0.1512, 0.2742, 0.0224, 0.0265, 0.0876, 0.0183, 0.0349, 0.1575, 0.0077, 0.0162, 0.0189, 0.1375]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 34.0]), label=12.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0621, 0.0387, 0.032, 0.0425, 0.0227, 0.0, 0.6286, 0.0123, 0.0544, 0.0537, 0.0082, 0.0094, 0.0353, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 37.0]), label=12.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 40.0]), label=12.0, probability=DenseVector([0.0467, 0.0367, 0.0547, 0.0596, 0.0278, 0.0001, 0.4856, 0.0105, 0.0702, 0.1569, 0.0095, 0.0151, 0.0258, 0.0009]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 41.0]), label=2.0, probability=DenseVector([0.0334, 0.0361, 0.0826, 0.1336, 0.0246, 0.0055, 0.3779, 0.0129, 0.0586, 0.1518, 0.0061, 0.0145, 0.0185, 0.0438]))
Row(prediction=3.0, features=DenseVector([39.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0109, 0.0357, 0.1488, 0.2796, 0.0224, 0.0258, 0.0899, 0.0176, 0.0397, 0.1585, 0.0077, 0.016, 0.0181, 0.1292]))
Row(prediction=6.0, features=DenseVector([39.0, 53.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 53.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 53.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 53.0, 35.0]), label=12.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 53.0, 37.0]), label=12.0, probability=DenseVector([0.059, 0.0375, 0.0357, 0.0446, 0.0227, 0.0, 0.6053, 0.0114, 0.0578, 0.0705, 0.0086, 0.011, 0.0359, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 55.0, 37.0]), label=12.0, probability=DenseVector([0.0586, 0.0379, 0.0303, 0.0399, 0.0224, 0.0, 0.6247, 0.0116, 0.0502, 0.0719, 0.0082, 0.0105, 0.0336, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 15.0, 32.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=9.0, features=DenseVector([40.0, 21.0, 49.0]), label=1.0, probability=DenseVector([0.0116, 0.0828, 0.3063, 0.014, 0.0143, 0.044, 0.0006, 0.0028, 0.004, 0.4245, 0.0091, 0.0554, 0.0298, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=9.0, features=DenseVector([40.0, 28.0, 42.0]), label=2.0, probability=DenseVector([0.0113, 0.0819, 0.134, 0.02, 0.0185, 0.0397, 0.0536, 0.001, 0.0048, 0.5347, 0.0073, 0.0579, 0.0348, 0.0006]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=4.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0515, 0.1073, 0.3864, 0.037, 0.0516, 0.1095, 0.0027, 0.0117, 0.0145, 0.0923, 0.0353, 0.0807, 0.0166, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 50.0]), label=9.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 53.0]), label=10.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 55.0]), label=10.0, probability=DenseVector([0.0531, 0.1008, 0.3674, 0.0417, 0.057, 0.1028, 0.0031, 0.0125, 0.0184, 0.1038, 0.0357, 0.0804, 0.0206, 0.0028]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=9.0, features=DenseVector([40.0, 36.0, 43.0]), label=12.0, probability=DenseVector([0.0297, 0.0556, 0.1549, 0.0881, 0.0323, 0.1016, 0.0435, 0.0032, 0.0096, 0.3433, 0.0136, 0.0996, 0.021, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=9.0, features=DenseVector([40.0, 37.0, 46.0]), label=10.0, probability=DenseVector([0.0296, 0.0502, 0.2074, 0.1116, 0.0291, 0.1444, 0.0241, 0.0035, 0.0095, 0.2224, 0.0144, 0.1307, 0.0179, 0.0051]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 53.0]), label=10.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 53.0]), label=10.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=9.0, features=DenseVector([40.0, 38.0, 45.0]), label=0.0, probability=DenseVector([0.0312, 0.0436, 0.1457, 0.1435, 0.034, 0.1405, 0.0469, 0.0041, 0.0108, 0.2664, 0.0152, 0.0943, 0.0168, 0.007]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 47.0]), label=10.0, probability=DenseVector([0.0281, 0.0467, 0.1868, 0.1525, 0.0265, 0.2698, 0.0191, 0.0054, 0.0112, 0.156, 0.0184, 0.0607, 0.0134, 0.0053]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 48.0]), label=3.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=4.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 54.0]), label=10.0, probability=DenseVector([0.0451, 0.0805, 0.2053, 0.1155, 0.0417, 0.324, 0.0033, 0.0136, 0.0196, 0.0724, 0.0393, 0.0196, 0.0158, 0.0045]))
Row(prediction=9.0, features=DenseVector([40.0, 39.0, 41.0]), label=9.0, probability=DenseVector([0.043, 0.0674, 0.0374, 0.0258, 0.0423, 0.0253, 0.1006, 0.003, 0.0084, 0.445, 0.0333, 0.1438, 0.0242, 0.0005]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=9.0, features=DenseVector([40.0, 40.0, 43.0]), label=3.0, probability=DenseVector([0.033, 0.0378, 0.1347, 0.1709, 0.0372, 0.0773, 0.0602, 0.0089, 0.0178, 0.3145, 0.0151, 0.0532, 0.018, 0.0215]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=9.0, features=DenseVector([40.0, 42.0, 42.0]), label=4.0, probability=DenseVector([0.0422, 0.0412, 0.1074, 0.1296, 0.0452, 0.0492, 0.0836, 0.0049, 0.0118, 0.3632, 0.0326, 0.0571, 0.019, 0.0131]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 53.0]), label=2.0, probability=DenseVector([0.0326, 0.0473, 0.2065, 0.2826, 0.0308, 0.1776, 0.0063, 0.0264, 0.0403, 0.0847, 0.0173, 0.0172, 0.0161, 0.0142]))
Row(prediction=9.0, features=DenseVector([40.0, 43.0, 41.0]), label=10.0, probability=DenseVector([0.0565, 0.0894, 0.0477, 0.0489, 0.0505, 0.008, 0.2115, 0.0024, 0.0133, 0.367, 0.0425, 0.0416, 0.0166, 0.004]))
Row(prediction=9.0, features=DenseVector([40.0, 43.0, 42.0]), label=2.0, probability=DenseVector([0.0406, 0.0545, 0.1125, 0.1422, 0.0443, 0.0489, 0.1119, 0.0042, 0.0135, 0.3128, 0.0313, 0.0501, 0.0177, 0.0155]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=6.0, features=DenseVector([40.0, 47.0, 40.0]), label=12.0, probability=DenseVector([0.0643, 0.0818, 0.0305, 0.0357, 0.0377, 0.0013, 0.3421, 0.0063, 0.0258, 0.3073, 0.0244, 0.0227, 0.0173, 0.003]))
Row(prediction=9.0, features=DenseVector([40.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.012, 0.0291, 0.2056, 0.319, 0.0175, 0.1674, 0.0202, 0.0164, 0.0225, 0.1129, 0.0075, 0.0201, 0.0117, 0.0381]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.012, 0.0291, 0.2056, 0.319, 0.0175, 0.1674, 0.0202, 0.0164, 0.0225, 0.1129, 0.0075, 0.0201, 0.0117, 0.0381]))
Row(prediction=9.0, features=DenseVector([40.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=3.0, features=DenseVector([40.0, 48.0, 47.0]), label=12.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0119, 0.0306, 0.1948, 0.3033, 0.0184, 0.1593, 0.0258, 0.0157, 0.0223, 0.1398, 0.0083, 0.0195, 0.0125, 0.0378]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 21.0]), label=1.0, probability=DenseVector([0.0524, 0.1592, 0.0181, 0.0285, 0.0205, 0.0002, 0.5839, 0.01, 0.0222, 0.0702, 0.0078, 0.0075, 0.0172, 0.0024]))
Row(prediction=3.0, features=DenseVector([40.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 39.0]), label=1.0, probability=DenseVector([0.0553, 0.0732, 0.0374, 0.0491, 0.0274, 0.0002, 0.5085, 0.0082, 0.0496, 0.1306, 0.0114, 0.0154, 0.0314, 0.0027]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 41.0]), label=2.0, probability=DenseVector([0.0472, 0.0742, 0.0579, 0.0777, 0.0308, 0.0068, 0.4003, 0.0083, 0.0312, 0.1882, 0.0117, 0.0276, 0.0242, 0.0139]))
Row(prediction=3.0, features=DenseVector([40.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=6.0, features=DenseVector([40.0, 52.0, 35.0]), label=12.0, probability=DenseVector([0.0533, 0.0488, 0.0192, 0.0288, 0.0195, 0.0, 0.6798, 0.0109, 0.0358, 0.0547, 0.0036, 0.0087, 0.037, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 52.0, 36.0]), label=12.0, probability=DenseVector([0.0535, 0.0477, 0.0262, 0.0364, 0.0197, 0.0, 0.6452, 0.0098, 0.0462, 0.0606, 0.0046, 0.01, 0.0401, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 53.0, 35.0]), label=12.0, probability=DenseVector([0.0533, 0.0488, 0.0192, 0.0288, 0.0195, 0.0, 0.6798, 0.0109, 0.0358, 0.0547, 0.0036, 0.0087, 0.037, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 53.0, 35.0]), label=12.0, probability=DenseVector([0.0533, 0.0488, 0.0192, 0.0288, 0.0195, 0.0, 0.6798, 0.0109, 0.0358, 0.0547, 0.0036, 0.0087, 0.037, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 53.0, 36.0]), label=12.0, probability=DenseVector([0.0535, 0.0477, 0.0262, 0.0364, 0.0197, 0.0, 0.6452, 0.0098, 0.0462, 0.0606, 0.0046, 0.01, 0.0401, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 59.0, 43.0]), label=3.0, probability=DenseVector([0.0191, 0.0254, 0.0902, 0.132, 0.0258, 0.0446, 0.2785, 0.0015, 0.0072, 0.3029, 0.0063, 0.0381, 0.0128, 0.0157]))
Row(prediction=9.0, features=DenseVector([41.0, 7.0, 38.0]), label=9.0, probability=DenseVector([0.0213, 0.1147, 0.0131, 0.0088, 0.0225, 0.0246, 0.0698, 0.0014, 0.0069, 0.6071, 0.0102, 0.0574, 0.0423, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 18.0, 23.0]), label=9.0, probability=DenseVector([0.0126, 0.1196, 0.0091, 0.0071, 0.0138, 0.0229, 0.0393, 0.0018, 0.0034, 0.6882, 0.0042, 0.033, 0.045, 0.0]))
Row(prediction=9.0, features=DenseVector([41.0, 18.0, 33.0]), label=9.0, probability=DenseVector([0.0144, 0.1177, 0.0095, 0.0075, 0.0152, 0.0233, 0.0465, 0.0018, 0.0038, 0.6771, 0.0052, 0.0334, 0.0446, 0.0]))
Row(prediction=2.0, features=DenseVector([41.0, 21.0, 47.0]), label=1.0, probability=DenseVector([0.0114, 0.0941, 0.367, 0.0177, 0.014, 0.0709, 0.0044, 0.0019, 0.004, 0.3321, 0.0088, 0.0448, 0.028, 0.0007]))
Row(prediction=9.0, features=DenseVector([41.0, 22.0, 39.0]), label=2.0, probability=DenseVector([0.0203, 0.114, 0.0163, 0.005, 0.0235, 0.0258, 0.0754, 0.0013, 0.0087, 0.5994, 0.0102, 0.0591, 0.041, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 22.0, 40.0]), label=9.0, probability=DenseVector([0.0203, 0.114, 0.0163, 0.005, 0.0235, 0.0258, 0.0754, 0.0013, 0.0087, 0.5994, 0.0102, 0.0591, 0.041, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 25.0, 43.0]), label=4.0, probability=DenseVector([0.014, 0.0854, 0.1942, 0.0245, 0.0187, 0.0581, 0.0211, 0.0017, 0.006, 0.4701, 0.008, 0.0662, 0.0312, 0.0008]))
Row(prediction=2.0, features=DenseVector([41.0, 25.0, 46.0]), label=9.0, probability=DenseVector([0.0132, 0.0896, 0.3417, 0.0255, 0.0159, 0.0721, 0.0078, 0.0019, 0.0047, 0.3162, 0.0089, 0.0774, 0.0242, 0.001]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 26.0, 53.0]), label=2.0, probability=DenseVector([0.0433, 0.1343, 0.3882, 0.0212, 0.0462, 0.0392, 0.0028, 0.006, 0.0112, 0.1623, 0.0274, 0.0965, 0.0212, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 47.0]), label=2.0, probability=DenseVector([0.0342, 0.0718, 0.3086, 0.0802, 0.0287, 0.1187, 0.0195, 0.0031, 0.0083, 0.1826, 0.0161, 0.1091, 0.0161, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 50.0]), label=10.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 49.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=1.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 54.0]), label=10.0, probability=DenseVector([0.0541, 0.0989, 0.3682, 0.0439, 0.0552, 0.113, 0.003, 0.0133, 0.0165, 0.0967, 0.0354, 0.0793, 0.0192, 0.0033]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 60.0]), label=4.0, probability=DenseVector([0.0531, 0.1008, 0.3674, 0.0417, 0.057, 0.1028, 0.0031, 0.0125, 0.0184, 0.1038, 0.0357, 0.0804, 0.0206, 0.0028]))
Row(prediction=9.0, features=DenseVector([41.0, 35.0, 43.0]), label=0.0, probability=DenseVector([0.0338, 0.0573, 0.1518, 0.0844, 0.0315, 0.1021, 0.0391, 0.0032, 0.0104, 0.3493, 0.0133, 0.0977, 0.0221, 0.0039]))
Row(prediction=9.0, features=DenseVector([41.0, 35.0, 43.0]), label=3.0, probability=DenseVector([0.0338, 0.0573, 0.1518, 0.0844, 0.0315, 0.1021, 0.0391, 0.0032, 0.0104, 0.3493, 0.0133, 0.0977, 0.0221, 0.0039]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 49.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 49.0]), label=3.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 50.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 50.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=9.0, features=DenseVector([41.0, 37.0, 41.0]), label=3.0, probability=DenseVector([0.04, 0.0724, 0.036, 0.0202, 0.041, 0.0205, 0.0903, 0.003, 0.0091, 0.469, 0.0313, 0.1406, 0.0261, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 49.0]), label=4.0, probability=DenseVector([0.0291, 0.0918, 0.5378, 0.0246, 0.0269, 0.0608, 0.0022, 0.0104, 0.0086, 0.0487, 0.022, 0.1258, 0.0095, 0.0017]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0291, 0.0918, 0.5378, 0.0246, 0.0269, 0.0608, 0.0022, 0.0104, 0.0086, 0.0487, 0.022, 0.1258, 0.0095, 0.0017]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0291, 0.0918, 0.5378, 0.0246, 0.0269, 0.0608, 0.0022, 0.0104, 0.0086, 0.0487, 0.022, 0.1258, 0.0095, 0.0017]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=10.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=9.0, features=DenseVector([41.0, 38.0, 45.0]), label=4.0, probability=DenseVector([0.0312, 0.0436, 0.1457, 0.1435, 0.034, 0.1405, 0.0469, 0.0041, 0.0108, 0.2664, 0.0152, 0.0943, 0.0168, 0.007]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 52.0]), label=10.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=9.0, features=DenseVector([41.0, 39.0, 45.0]), label=0.0, probability=DenseVector([0.0278, 0.0408, 0.1478, 0.1489, 0.0333, 0.1459, 0.0496, 0.0041, 0.0102, 0.256, 0.0144, 0.0977, 0.0163, 0.0072]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=9.0, features=DenseVector([41.0, 40.0, 45.0]), label=2.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=9.0, features=DenseVector([41.0, 41.0, 45.0]), label=3.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=9.0, features=DenseVector([41.0, 41.0, 45.0]), label=3.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 47.0]), label=10.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=9.0, features=DenseVector([41.0, 42.0, 43.0]), label=2.0, probability=DenseVector([0.033, 0.0378, 0.1347, 0.1709, 0.0372, 0.0773, 0.0602, 0.0089, 0.0178, 0.3145, 0.0151, 0.0532, 0.018, 0.0215]))
Row(prediction=9.0, features=DenseVector([41.0, 42.0, 44.0]), label=12.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=9.0, features=DenseVector([41.0, 42.0, 45.0]), label=3.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 48.0]), label=1.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=9.0, features=DenseVector([41.0, 46.0, 44.0]), label=3.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0115, 0.0296, 0.2123, 0.3298, 0.0155, 0.183, 0.0178, 0.0156, 0.0222, 0.0872, 0.0084, 0.0192, 0.0099, 0.0379]))
Row(prediction=3.0, features=DenseVector([41.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([41.0, 47.0, 48.0]), label=12.0, probability=DenseVector([0.012, 0.0291, 0.2056, 0.319, 0.0175, 0.1674, 0.0202, 0.0164, 0.0225, 0.1129, 0.0075, 0.0201, 0.0117, 0.0381]))
Row(prediction=6.0, features=DenseVector([41.0, 48.0, 34.0]), label=12.0, probability=DenseVector([0.0586, 0.1272, 0.0195, 0.0319, 0.0227, 0.0002, 0.5716, 0.01, 0.0229, 0.0978, 0.0087, 0.0101, 0.0161, 0.0026]))
Row(prediction=9.0, features=DenseVector([41.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=6.0, features=DenseVector([41.0, 54.0, 32.0]), label=12.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 10.0, 38.0]), label=9.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 11.0, 39.0]), label=9.0, probability=DenseVector([0.0201, 0.1013, 0.037, 0.0078, 0.0197, 0.0168, 0.0597, 0.001, 0.0067, 0.5711, 0.0087, 0.1147, 0.0354, 0.0]))
Row(prediction=2.0, features=DenseVector([42.0, 19.0, 45.0]), label=9.0, probability=DenseVector([0.0086, 0.0751, 0.3741, 0.0294, 0.012, 0.0249, 0.0097, 0.0003, 0.0025, 0.3709, 0.0035, 0.0641, 0.0245, 0.0005]))
Row(prediction=9.0, features=DenseVector([42.0, 20.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 21.0, 46.0]), label=9.0, probability=DenseVector([0.0084, 0.0757, 0.3963, 0.0346, 0.0109, 0.0365, 0.006, 0.0004, 0.0024, 0.3242, 0.0036, 0.0764, 0.0237, 0.0008]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 46.0]), label=9.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([42.0, 31.0, 46.0]), label=4.0, probability=DenseVector([0.0282, 0.0509, 0.2113, 0.1036, 0.0246, 0.0864, 0.0227, 0.0009, 0.0072, 0.2589, 0.0076, 0.1753, 0.0188, 0.0034]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.029, 0.0972, 0.5605, 0.0192, 0.0274, 0.0226, 0.0006, 0.009, 0.012, 0.0626, 0.019, 0.1329, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 54.0]), label=9.0, probability=DenseVector([0.0389, 0.1232, 0.4212, 0.0248, 0.046, 0.0248, 0.0029, 0.0079, 0.0148, 0.1505, 0.0254, 0.1044, 0.0151, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 52.0]), label=10.0, probability=DenseVector([0.0342, 0.1002, 0.4867, 0.0304, 0.0324, 0.0886, 0.0007, 0.0098, 0.0103, 0.0512, 0.0242, 0.1187, 0.0097, 0.0028]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0426, 0.1114, 0.3885, 0.0324, 0.0482, 0.0948, 0.0025, 0.0102, 0.0134, 0.1094, 0.031, 0.0955, 0.0167, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0426, 0.1114, 0.3885, 0.0324, 0.0482, 0.0948, 0.0025, 0.0102, 0.0134, 0.1094, 0.031, 0.0955, 0.0167, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 53.0]), label=4.0, probability=DenseVector([0.0426, 0.1114, 0.3885, 0.0324, 0.0482, 0.0948, 0.0025, 0.0102, 0.0134, 0.1094, 0.031, 0.0955, 0.0167, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 51.0]), label=10.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 53.0]), label=10.0, probability=DenseVector([0.0426, 0.1114, 0.3885, 0.0324, 0.0482, 0.0948, 0.0025, 0.0102, 0.0134, 0.1094, 0.031, 0.0955, 0.0167, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 51.0]), label=10.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 58.0]), label=12.0, probability=DenseVector([0.0365, 0.0889, 0.3242, 0.072, 0.0435, 0.1481, 0.0047, 0.009, 0.02, 0.1369, 0.0294, 0.0651, 0.0197, 0.002]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 50.0]), label=4.0, probability=DenseVector([0.0145, 0.0505, 0.3577, 0.1985, 0.017, 0.1433, 0.0054, 0.0115, 0.0199, 0.0876, 0.009, 0.0684, 0.0096, 0.0071]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0249, 0.0607, 0.3349, 0.1957, 0.0295, 0.0868, 0.0055, 0.0157, 0.0295, 0.1161, 0.0131, 0.0667, 0.0168, 0.004]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0248, 0.0557, 0.3197, 0.2148, 0.0296, 0.0904, 0.0059, 0.016, 0.0304, 0.1206, 0.013, 0.0584, 0.0167, 0.004]))
Row(prediction=9.0, features=DenseVector([42.0, 42.0, 44.0]), label=2.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0211, 0.0373, 0.2745, 0.2054, 0.0218, 0.1405, 0.0212, 0.0089, 0.0173, 0.1631, 0.0068, 0.0606, 0.0121, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=9.0, features=DenseVector([42.0, 44.0, 39.0]), label=3.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 54.0]), label=9.0, probability=DenseVector([0.0234, 0.0627, 0.2283, 0.2206, 0.0358, 0.0891, 0.0131, 0.0155, 0.0339, 0.1919, 0.0134, 0.0461, 0.0221, 0.0039]))
Row(prediction=9.0, features=DenseVector([42.0, 45.0, 42.0]), label=2.0, probability=DenseVector([0.032, 0.0399, 0.1183, 0.1282, 0.0376, 0.0462, 0.0945, 0.0009, 0.0096, 0.3869, 0.013, 0.0688, 0.0181, 0.0058]))
Row(prediction=9.0, features=DenseVector([42.0, 45.0, 43.0]), label=3.0, probability=DenseVector([0.0302, 0.0384, 0.1347, 0.1319, 0.0372, 0.0487, 0.0797, 0.001, 0.0094, 0.3795, 0.0125, 0.0736, 0.0177, 0.0056]))
Row(prediction=9.0, features=DenseVector([42.0, 45.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 50.0]), label=12.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 41.0]), label=3.0, probability=DenseVector([0.0411, 0.0666, 0.0436, 0.0516, 0.0369, 0.0067, 0.1689, 0.0008, 0.0083, 0.4863, 0.0148, 0.0573, 0.016, 0.0009]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 43.0]), label=3.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 43.0]), label=3.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0211, 0.0301, 0.177, 0.1673, 0.0284, 0.0573, 0.0712, 0.001, 0.0089, 0.3272, 0.0063, 0.0838, 0.016, 0.0044]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0211, 0.0301, 0.177, 0.1673, 0.0284, 0.0573, 0.0712, 0.001, 0.0089, 0.3272, 0.0063, 0.0838, 0.016, 0.0044]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 40.0]), label=12.0, probability=DenseVector([0.0384, 0.0517, 0.0237, 0.029, 0.0249, 0.0, 0.3647, 0.0055, 0.0215, 0.3791, 0.0037, 0.0395, 0.0181, 0.0003]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([43.0, 16.0, 36.0]), label=9.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 23.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 25.0, 40.0]), label=9.0, probability=DenseVector([0.0223, 0.0984, 0.0227, 0.0105, 0.0242, 0.0067, 0.0684, 0.001, 0.0081, 0.6195, 0.0088, 0.0735, 0.036, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 25.0, 44.0]), label=9.0, probability=DenseVector([0.0106, 0.0746, 0.2616, 0.0273, 0.0169, 0.021, 0.0228, 0.0004, 0.0035, 0.4451, 0.0036, 0.0856, 0.0264, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0431, 0.1143, 0.3911, 0.0326, 0.0483, 0.088, 0.0026, 0.0099, 0.0138, 0.1098, 0.0307, 0.0968, 0.0162, 0.0028]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 48.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 51.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 52.0]), label=10.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 52.0]), label=10.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 52.0]), label=9.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 51.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 51.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 51.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 52.0]), label=10.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([43.0, 35.0, 52.0]), label=10.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=4.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 53.0]), label=10.0, probability=DenseVector([0.0426, 0.1114, 0.3885, 0.0324, 0.0482, 0.0948, 0.0025, 0.0102, 0.0134, 0.1094, 0.031, 0.0955, 0.0167, 0.0032]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 53.0]), label=10.0, probability=DenseVector([0.0426, 0.1114, 0.3885, 0.0324, 0.0482, 0.0948, 0.0025, 0.0102, 0.0134, 0.1094, 0.031, 0.0955, 0.0167, 0.0032]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 51.0]), label=4.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 51.0]), label=10.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0145, 0.0505, 0.3577, 0.1985, 0.017, 0.1433, 0.0054, 0.0115, 0.0199, 0.0876, 0.009, 0.0684, 0.0096, 0.0071]))
Row(prediction=2.0, features=DenseVector([43.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([43.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([43.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0211, 0.0373, 0.2745, 0.2054, 0.0218, 0.1405, 0.0212, 0.0089, 0.0173, 0.1631, 0.0068, 0.0606, 0.0121, 0.0093]))
Row(prediction=2.0, features=DenseVector([43.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([43.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([43.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 44.0]), label=9.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=2.0, features=DenseVector([43.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([43.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([43.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 38.0]), label=3.0, probability=DenseVector([0.0507, 0.0804, 0.0194, 0.019, 0.0315, 0.0013, 0.1972, 0.0014, 0.0104, 0.5149, 0.0157, 0.0398, 0.0178, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 43.0]), label=3.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=6.0, features=DenseVector([43.0, 48.0, 36.0]), label=1.0, probability=DenseVector([0.0443, 0.0609, 0.0187, 0.025, 0.0179, 0.0001, 0.4829, 0.0078, 0.0239, 0.2717, 0.0043, 0.0242, 0.018, 0.0003]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0211, 0.0301, 0.177, 0.1673, 0.0284, 0.0573, 0.0712, 0.001, 0.0089, 0.3272, 0.0063, 0.0838, 0.016, 0.0044]))
Row(prediction=9.0, features=DenseVector([43.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([43.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([43.0, 52.0, 48.0]), label=4.0, probability=DenseVector([0.0065, 0.0363, 0.1246, 0.1997, 0.0307, 0.077, 0.0872, 0.0057, 0.0196, 0.3555, 0.0078, 0.024, 0.0222, 0.0033]))
Row(prediction=9.0, features=DenseVector([44.0, 16.0, 33.0]), label=9.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=9.0, features=DenseVector([44.0, 20.0, 44.0]), label=9.0, probability=DenseVector([0.0055, 0.0703, 0.3004, 0.0138, 0.0103, 0.002, 0.0136, 0.0002, 0.0014, 0.4125, 0.0014, 0.143, 0.0254, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 26.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=9.0, features=DenseVector([44.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 51.0]), label=4.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 47.0]), label=2.0, probability=DenseVector([0.0123, 0.0422, 0.3033, 0.119, 0.0207, 0.0751, 0.0226, 0.008, 0.0148, 0.1447, 0.0044, 0.2138, 0.0126, 0.0066]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0197, 0.0691, 0.3123, 0.1548, 0.0314, 0.0694, 0.0121, 0.0139, 0.0293, 0.1872, 0.0095, 0.066, 0.0218, 0.0035]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 42.0]), label=3.0, probability=DenseVector([0.0234, 0.0409, 0.1364, 0.0692, 0.0366, 0.0111, 0.0827, 0.0006, 0.0082, 0.371, 0.0096, 0.1874, 0.02, 0.0031]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 43.0]), label=3.0, probability=DenseVector([0.0217, 0.0394, 0.1527, 0.0728, 0.0362, 0.0135, 0.0679, 0.0006, 0.0081, 0.3636, 0.009, 0.1922, 0.0195, 0.0028]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 44.0]), label=2.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=9.0, features=DenseVector([44.0, 45.0, 39.0]), label=4.0, probability=DenseVector([0.0331, 0.0589, 0.0172, 0.0194, 0.0253, 0.0002, 0.1445, 0.0004, 0.0062, 0.5466, 0.0081, 0.1241, 0.0154, 0.0004]))
Row(prediction=11.0, features=DenseVector([44.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=9.0, features=DenseVector([44.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0126, 0.0346, 0.1468, 0.0862, 0.0288, 0.0128, 0.0789, 0.0004, 0.0069, 0.3677, 0.0031, 0.2003, 0.0195, 0.0014]))
Row(prediction=9.0, features=DenseVector([44.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0126, 0.0346, 0.1468, 0.0862, 0.0288, 0.0128, 0.0789, 0.0004, 0.0069, 0.3677, 0.0031, 0.2003, 0.0195, 0.0014]))
Row(prediction=9.0, features=DenseVector([44.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0126, 0.0346, 0.1468, 0.0862, 0.0288, 0.0128, 0.0789, 0.0004, 0.0069, 0.3677, 0.0031, 0.2003, 0.0195, 0.0014]))
Row(prediction=6.0, features=DenseVector([44.0, 52.0, 29.0]), label=12.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 13.0, 37.0]), label=9.0, probability=DenseVector([0.0082, 0.0831, 0.0112, 0.004, 0.0106, 0.0016, 0.0254, 0.0004, 0.0024, 0.5797, 0.0015, 0.2351, 0.0366, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 18.0, 48.0]), label=9.0, probability=DenseVector([0.0058, 0.0831, 0.3185, 0.0065, 0.0102, 0.0105, 0.0002, 0.0006, 0.0007, 0.4595, 0.0046, 0.0702, 0.0294, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 49.0]), label=9.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 32.0, 38.0]), label=4.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=9.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([45.0, 35.0, 45.0]), label=9.0, probability=DenseVector([0.0087, 0.044, 0.2152, 0.0293, 0.0186, 0.0053, 0.0176, 0.0002, 0.0024, 0.2194, 0.0024, 0.4211, 0.0149, 0.0009]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([45.0, 36.0, 46.0]), label=2.0, probability=DenseVector([0.0086, 0.0428, 0.2322, 0.0357, 0.0181, 0.0169, 0.0145, 0.0003, 0.0025, 0.1874, 0.0024, 0.4238, 0.0137, 0.0012]))
Row(prediction=2.0, features=DenseVector([45.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([45.0, 39.0, 47.0]), label=2.0, probability=DenseVector([0.0116, 0.0442, 0.306, 0.0626, 0.0217, 0.0804, 0.0211, 0.0012, 0.0054, 0.1495, 0.0067, 0.2776, 0.0111, 0.0008]))
Row(prediction=9.0, features=DenseVector([45.0, 41.0, 40.0]), label=2.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 44.0, 41.0]), label=3.0, probability=DenseVector([0.0345, 0.0553, 0.0463, 0.0427, 0.0346, 0.0066, 0.1274, 0.0006, 0.0072, 0.4992, 0.0119, 0.1151, 0.0168, 0.0018]))
Row(prediction=9.0, features=DenseVector([45.0, 44.0, 44.0]), label=12.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=9.0, features=DenseVector([45.0, 45.0, 39.0]), label=3.0, probability=DenseVector([0.0331, 0.0589, 0.0172, 0.0194, 0.0253, 0.0002, 0.1445, 0.0004, 0.0062, 0.5466, 0.0081, 0.1241, 0.0154, 0.0004]))
Row(prediction=9.0, features=DenseVector([45.0, 45.0, 43.0]), label=4.0, probability=DenseVector([0.0212, 0.0383, 0.1502, 0.079, 0.0356, 0.0135, 0.0766, 0.0005, 0.0078, 0.3535, 0.0093, 0.1926, 0.019, 0.0028]))
Row(prediction=9.0, features=DenseVector([45.0, 45.0, 43.0]), label=2.0, probability=DenseVector([0.0212, 0.0383, 0.1502, 0.079, 0.0356, 0.0135, 0.0766, 0.0005, 0.0078, 0.3535, 0.0093, 0.1926, 0.019, 0.0028]))
Row(prediction=9.0, features=DenseVector([45.0, 46.0, 30.0]), label=1.0, probability=DenseVector([0.035, 0.0968, 0.0098, 0.0117, 0.016, 0.0002, 0.2196, 0.0022, 0.0046, 0.5385, 0.0048, 0.0354, 0.0249, 0.0004]))
Row(prediction=6.0, features=DenseVector([45.0, 49.0, 39.0]), label=1.0, probability=DenseVector([0.0422, 0.0473, 0.0271, 0.0331, 0.024, 0.0, 0.4169, 0.0068, 0.0289, 0.3131, 0.0047, 0.0383, 0.0172, 0.0003]))
Row(prediction=6.0, features=DenseVector([45.0, 52.0, 26.0]), label=1.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=11.0, features=DenseVector([46.0, 30.0, 46.0]), label=2.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 46.0]), label=2.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 46.0]), label=2.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=9.0, features=DenseVector([46.0, 34.0, 38.0]), label=4.0, probability=DenseVector([0.0145, 0.0612, 0.0088, 0.0056, 0.0169, 0.0006, 0.0441, 0.0005, 0.0022, 0.5187, 0.0041, 0.3002, 0.0227, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([46.0, 35.0, 45.0]), label=2.0, probability=DenseVector([0.0087, 0.044, 0.2152, 0.0293, 0.0186, 0.0053, 0.0176, 0.0002, 0.0024, 0.2194, 0.0024, 0.4211, 0.0149, 0.0009]))
Row(prediction=11.0, features=DenseVector([46.0, 35.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 35.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.0156, 0.0543, 0.0362, 0.0211, 0.0239, 0.0008, 0.0407, 0.0004, 0.0039, 0.4607, 0.004, 0.3155, 0.0225, 0.0003]))
Row(prediction=11.0, features=DenseVector([46.0, 36.0, 47.0]), label=2.0, probability=DenseVector([0.0114, 0.0633, 0.3657, 0.0182, 0.0176, 0.0153, 0.0089, 0.001, 0.0018, 0.112, 0.0065, 0.3688, 0.0091, 0.0005]))
Row(prediction=9.0, features=DenseVector([46.0, 39.0, 44.0]), label=2.0, probability=DenseVector([0.0139, 0.0361, 0.1696, 0.069, 0.0284, 0.0144, 0.0515, 0.0004, 0.0058, 0.3212, 0.003, 0.2673, 0.0181, 0.0012]))
Row(prediction=9.0, features=DenseVector([46.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0126, 0.0346, 0.1468, 0.0862, 0.0288, 0.0128, 0.0789, 0.0004, 0.0069, 0.3677, 0.0031, 0.2003, 0.0195, 0.0014]))
Row(prediction=6.0, features=DenseVector([46.0, 53.0, 25.0]), label=1.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=6.0, features=DenseVector([46.0, 54.0, 35.0]), label=1.0, probability=DenseVector([0.0513, 0.0448, 0.0147, 0.0238, 0.0185, 0.0, 0.6709, 0.0108, 0.0285, 0.0948, 0.0031, 0.0107, 0.028, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 25.0, 50.0]), label=4.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 28.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=11.0, features=DenseVector([47.0, 30.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=2.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=2.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=2.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=2.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=2.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 46.0]), label=2.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([47.0, 33.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.0153, 0.0566, 0.0124, 0.0108, 0.0201, 0.0005, 0.0443, 0.0004, 0.0031, 0.5053, 0.0041, 0.3056, 0.0214, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 35.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 35.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([47.0, 36.0, 45.0]), label=2.0, probability=DenseVector([0.0099, 0.0439, 0.2131, 0.036, 0.0209, 0.0055, 0.0242, 0.0002, 0.0027, 0.2331, 0.0029, 0.3912, 0.0153, 0.001]))
Row(prediction=11.0, features=DenseVector([47.0, 36.0, 46.0]), label=2.0, probability=DenseVector([0.0086, 0.0428, 0.2322, 0.0357, 0.0181, 0.0169, 0.0145, 0.0003, 0.0025, 0.1874, 0.0024, 0.4238, 0.0137, 0.0012]))
Row(prediction=11.0, features=DenseVector([47.0, 36.0, 46.0]), label=2.0, probability=DenseVector([0.0086, 0.0428, 0.2322, 0.0357, 0.0181, 0.0169, 0.0145, 0.0003, 0.0025, 0.1874, 0.0024, 0.4238, 0.0137, 0.0012]))
Row(prediction=9.0, features=DenseVector([47.0, 37.0, 7.0]), label=1.0, probability=DenseVector([0.017, 0.0849, 0.0098, 0.0046, 0.0119, 0.0014, 0.0531, 0.0028, 0.0023, 0.7131, 0.0028, 0.0564, 0.0399, 0.0]))
Row(prediction=9.0, features=DenseVector([47.0, 42.0, 42.0]), label=2.0, probability=DenseVector([0.0219, 0.0418, 0.1356, 0.0639, 0.0355, 0.0113, 0.062, 0.0007, 0.0075, 0.392, 0.0096, 0.1932, 0.022, 0.0028]))
Row(prediction=2.0, features=DenseVector([47.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0121, 0.0387, 0.2885, 0.1219, 0.0213, 0.0748, 0.0232, 0.008, 0.0158, 0.1539, 0.0041, 0.2181, 0.0131, 0.0066]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 46.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 30.0, 47.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 45.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 45.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 46.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 31.0, 47.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 32.0, 46.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 46.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 33.0, 48.0]), label=2.0, probability=DenseVector([0.004, 0.0719, 0.1586, 0.0023, 0.0167, 0.0024, 0.008, 0.0004, 0.0009, 0.2243, 0.0028, 0.4958, 0.0118, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 47.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 34.0, 47.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 36.0, 45.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 38.0, 45.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 39.0, 43.0]), label=2.0, probability=DenseVector([0.0026, 0.0335, 0.0601, 0.0109, 0.0222, 0.0057, 0.0294, 0.0002, 0.0013, 0.171, 0.0007, 0.6547, 0.0075, 0.0002]))
Row(prediction=11.0, features=DenseVector([48.0, 40.0, 46.0]), label=2.0, probability=DenseVector([0.0049, 0.0387, 0.0723, 0.0391, 0.0292, 0.0192, 0.0454, 0.0059, 0.0099, 0.1931, 0.0011, 0.5269, 0.0089, 0.0055]))
Row(prediction=9.0, features=DenseVector([49.0, 27.0, 46.0]), label=1.0, probability=DenseVector([0.0004, 0.1089, 0.0501, 0.0028, 0.0107, 0.0003, 0.0027, 0.0, 0.0003, 0.5545, 0.0003, 0.2435, 0.0255, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 27.0, 47.0]), label=9.0, probability=DenseVector([0.0004, 0.1109, 0.0651, 0.0027, 0.0104, 0.0002, 0.0027, 0.0, 0.0004, 0.5393, 0.0003, 0.2432, 0.0246, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 46.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 46.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 31.0, 47.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 32.0, 46.0]), label=1.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 33.0, 52.0]), label=4.0, probability=DenseVector([0.0142, 0.1221, 0.1014, 0.0251, 0.0437, 0.0813, 0.0194, 0.0074, 0.012, 0.3828, 0.0095, 0.1407, 0.0375, 0.0028]))
Row(prediction=11.0, features=DenseVector([49.0, 35.0, 44.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 45.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 42.0]), label=2.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 42.0]), label=2.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 44.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 38.0, 42.0]), label=4.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=9.0, features=DenseVector([49.0, 38.0, 50.0]), label=4.0, probability=DenseVector([0.0078, 0.1102, 0.1438, 0.0299, 0.04, 0.1091, 0.026, 0.003, 0.0102, 0.3444, 0.0075, 0.1338, 0.0334, 0.001]))
Row(prediction=11.0, features=DenseVector([49.0, 39.0, 44.0]), label=2.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([49.0, 40.0, 42.0]), label=2.0, probability=DenseVector([0.0098, 0.0325, 0.0621, 0.0236, 0.0375, 0.0068, 0.0545, 0.0004, 0.0036, 0.2267, 0.0069, 0.5241, 0.0093, 0.0022]))
Row(prediction=9.0, features=DenseVector([49.0, 45.0, 39.0]), label=4.0, probability=DenseVector([0.019, 0.0373, 0.0088, 0.0049, 0.0226, 0.0001, 0.1167, 0.0002, 0.0029, 0.4131, 0.0051, 0.362, 0.0073, 0.0001]))
Row(prediction=9.0, features=DenseVector([50.0, 14.0, 36.0]), label=9.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 19.0, 41.0]), label=9.0, probability=DenseVector([0.0021, 0.0804, 0.0217, 0.0016, 0.0096, 0.0006, 0.0053, 0.0, 0.0008, 0.5305, 0.0008, 0.3148, 0.0317, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 42.0]), label=2.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 42.0]), label=2.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 43.0]), label=2.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 43.0]), label=2.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 43.0]), label=2.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 43.0]), label=2.0, probability=DenseVector([0.0026, 0.0335, 0.0601, 0.0109, 0.0222, 0.0057, 0.0294, 0.0002, 0.0013, 0.171, 0.0007, 0.6547, 0.0075, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 43.0]), label=2.0, probability=DenseVector([0.0026, 0.0335, 0.0601, 0.0109, 0.0222, 0.0057, 0.0294, 0.0002, 0.0013, 0.171, 0.0007, 0.6547, 0.0075, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 39.0, 43.0]), label=2.0, probability=DenseVector([0.0026, 0.0335, 0.0601, 0.0109, 0.0222, 0.0057, 0.0294, 0.0002, 0.0013, 0.171, 0.0007, 0.6547, 0.0075, 0.0002]))
Row(prediction=11.0, features=DenseVector([50.0, 41.0, 42.0]), label=4.0, probability=DenseVector([0.0096, 0.0334, 0.0584, 0.0246, 0.0496, 0.0068, 0.0906, 0.0004, 0.0042, 0.3248, 0.0069, 0.3771, 0.0114, 0.0022]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.0096, 0.0351, 0.0596, 0.0246, 0.0493, 0.0068, 0.0893, 0.0004, 0.0042, 0.3201, 0.0068, 0.3806, 0.0114, 0.0022]))
Row(prediction=9.0, features=DenseVector([50.0, 47.0, 37.0]), label=1.0, probability=DenseVector([0.0268, 0.0377, 0.0127, 0.0125, 0.022, 0.0, 0.2242, 0.003, 0.0135, 0.3432, 0.0039, 0.2895, 0.0108, 0.0002]))
Row(prediction=9.0, features=DenseVector([51.0, 26.0, 63.0]), label=1.0, probability=DenseVector([0.0118, 0.1231, 0.0548, 0.0092, 0.0294, 0.0114, 0.0074, 0.0018, 0.0078, 0.6358, 0.0059, 0.0642, 0.0375, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 28.0, 48.0]), label=9.0, probability=DenseVector([0.0038, 0.0999, 0.1424, 0.0026, 0.0142, 0.0024, 0.0043, 0.0004, 0.001, 0.5315, 0.0029, 0.1673, 0.0275, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 44.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 41.0, 35.0]), label=1.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 43.0, 33.0]), label=1.0, probability=DenseVector([0.0266, 0.111, 0.0025, 0.0042, 0.014, 0.0006, 0.1567, 0.0024, 0.0018, 0.5939, 0.002, 0.0569, 0.0274, 0.0001]))
Row(prediction=9.0, features=DenseVector([52.0, 33.0, 35.0]), label=1.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 33.0, 38.0]), label=4.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 37.0, 33.0]), label=2.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 38.0, 46.0]), label=4.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 41.0, 43.0]), label=2.0, probability=DenseVector([0.0096, 0.0351, 0.0596, 0.0246, 0.0493, 0.0068, 0.0893, 0.0004, 0.0042, 0.3201, 0.0068, 0.3806, 0.0114, 0.0022]))
Row(prediction=11.0, features=DenseVector([52.0, 42.0, 40.0]), label=1.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 44.0, 33.0]), label=1.0, probability=DenseVector([0.0268, 0.1126, 0.0023, 0.0041, 0.0134, 0.0006, 0.1754, 0.0023, 0.0018, 0.5783, 0.002, 0.0555, 0.0247, 0.0001]))
Row(prediction=9.0, features=DenseVector([52.0, 45.0, 36.0]), label=1.0, probability=DenseVector([0.0246, 0.1021, 0.003, 0.0039, 0.0144, 0.0003, 0.1636, 0.0017, 0.0017, 0.5442, 0.0019, 0.1149, 0.0233, 0.0001]))
Row(prediction=9.0, features=DenseVector([53.0, 18.0, 53.0]), label=4.0, probability=DenseVector([0.0013, 0.0748, 0.0177, 0.0024, 0.0143, 0.0036, 0.0063, 0.0001, 0.0022, 0.8043, 0.0003, 0.0425, 0.0302, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 33.0, 40.0]), label=1.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.0148, 0.0812, 0.0057, 0.0033, 0.0135, 0.0011, 0.0461, 0.0031, 0.001, 0.6366, 0.0017, 0.1562, 0.0355, 0.0]))
Row(prediction=9.0, features=DenseVector([53.0, 41.0, 34.0]), label=1.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([53.0, 42.0, 40.0]), label=1.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=9.0, features=DenseVector([54.0, 44.0, 54.0]), label=8.0, probability=DenseVector([0.0118, 0.0988, 0.0715, 0.081, 0.0565, 0.0296, 0.0575, 0.0109, 0.027, 0.4615, 0.0054, 0.0417, 0.044, 0.0028]))
Row(prediction=9.0, features=DenseVector([55.0, 31.0, 36.0]), label=1.0, probability=DenseVector([0.0104, 0.0782, 0.0059, 0.003, 0.0143, 0.0009, 0.0509, 0.0015, 0.001, 0.634, 0.0017, 0.1536, 0.0444, 0.0]))
Row(prediction=9.0, features=DenseVector([55.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([60.0, 30.0, 46.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=6.0, features=DenseVector([60.0, 60.0, 39.0]), label=1.0, probability=DenseVector([0.031, 0.0233, 0.0126, 0.0185, 0.0132, 0.0, 0.7764, 0.0059, 0.0229, 0.0692, 0.0033, 0.0061, 0.0174, 0.0001]))
Row(prediction=9.0, features=DenseVector([61.0, 13.0, 36.0]), label=4.0, probability=DenseVector([0.0082, 0.0876, 0.0049, 0.0032, 0.0099, 0.0011, 0.0227, 0.0013, 0.0017, 0.7284, 0.0011, 0.0712, 0.0587, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 31.0, 39.0]), label=10.0, probability=DenseVector([0.2903, 0.2159, 0.0, 0.0012, 0.2051, 0.0, 0.0537, 0.1022, 0.0295, 0.0009, 0.0624, 0.0001, 0.0386, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 33.0, 27.0]), label=10.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 27.0]), label=10.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 30.0]), label=1.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 25.0]), label=10.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 26.0]), label=12.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 30.0]), label=0.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 41.0]), label=10.0, probability=DenseVector([0.4417, 0.1764, 0.0007, 0.0074, 0.0849, 0.0002, 0.0564, 0.0507, 0.026, 0.0116, 0.1075, 0.0019, 0.0346, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 30.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 31.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 29.0]), label=10.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 34.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 34.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 42.0]), label=10.0, probability=DenseVector([0.4202, 0.1461, 0.001, 0.0008, 0.0946, 0.0, 0.1045, 0.04, 0.0188, 0.0135, 0.1362, 0.0004, 0.0239, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 44.0, 41.0]), label=4.0, probability=DenseVector([0.1357, 0.1065, 0.0024, 0.0013, 0.0969, 0.0, 0.3607, 0.0372, 0.0223, 0.0139, 0.2053, 0.0006, 0.0171, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 45.0, 42.0]), label=4.0, probability=DenseVector([0.1179, 0.0651, 0.0034, 0.0014, 0.0968, 0.0, 0.4086, 0.0306, 0.0191, 0.014, 0.2242, 0.0005, 0.0182, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 46.0, 30.0]), label=10.0, probability=DenseVector([0.2932, 0.0221, 0.0, 0.0, 0.2665, 0.0, 0.0666, 0.0266, 0.0129, 0.0048, 0.2954, 0.0, 0.0119, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 46.0, 33.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 47.0, 30.0]), label=10.0, probability=DenseVector([0.2766, 0.0228, 0.0, 0.0, 0.2591, 0.0, 0.0868, 0.0262, 0.0133, 0.0055, 0.2977, 0.0, 0.0119, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 48.0, 42.0]), label=10.0, probability=DenseVector([0.0738, 0.0439, 0.0194, 0.0044, 0.0602, 0.0, 0.5702, 0.0146, 0.0188, 0.0167, 0.1621, 0.0018, 0.014, 0.0002]))
Row(prediction=6.0, features=DenseVector([0.0, 49.0, 32.0]), label=10.0, probability=DenseVector([0.1537, 0.0233, 0.0, 0.0, 0.1174, 0.0, 0.3615, 0.0289, 0.0169, 0.0075, 0.281, 0.0, 0.01, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 49.0, 34.0]), label=10.0, probability=DenseVector([0.1339, 0.0238, 0.0, 0.0, 0.1082, 0.0, 0.3597, 0.02, 0.0155, 0.0115, 0.3194, 0.0, 0.0081, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 50.0, 39.0]), label=10.0, probability=DenseVector([0.1158, 0.0142, 0.0, 0.0, 0.0793, 0.0, 0.5398, 0.0213, 0.016, 0.0087, 0.1921, 0.0007, 0.0122, 0.0]))
Row(prediction=6.0, features=DenseVector([0.0, 54.0, 37.0]), label=10.0, probability=DenseVector([0.1355, 0.0118, 0.0, 0.0, 0.0822, 0.0, 0.5649, 0.0179, 0.0097, 0.0077, 0.1613, 0.0008, 0.0081, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 29.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 37.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 29.0]), label=10.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 30.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 29.0]), label=4.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 29.0]), label=10.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 29.0]), label=4.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 40.0]), label=10.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 30.0]), label=10.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 44.0, 39.0]), label=10.0, probability=DenseVector([0.3126, 0.0197, 0.0, 0.0, 0.2327, 0.0, 0.085, 0.0238, 0.0113, 0.0066, 0.2992, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([1.0, 46.0, 38.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=1.0, features=DenseVector([2.0, 11.0, 34.0]), label=12.0, probability=DenseVector([0.2404, 0.3043, 0.0, 0.0009, 0.127, 0.0, 0.0666, 0.1381, 0.0516, 0.001, 0.0352, 0.0011, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 29.0, 37.0]), label=1.0, probability=DenseVector([0.2489, 0.2399, 0.0, 0.0009, 0.1466, 0.0, 0.1199, 0.1139, 0.0473, 0.001, 0.0427, 0.0001, 0.0388, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 34.0, 42.0]), label=10.0, probability=DenseVector([0.3579, 0.1942, 0.0007, 0.0173, 0.0855, 0.0002, 0.122, 0.0651, 0.0261, 0.0082, 0.0818, 0.0018, 0.0392, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 29.0]), label=10.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 40.0]), label=10.0, probability=DenseVector([0.5727, 0.0689, 0.0, 0.0003, 0.1343, 0.0, 0.041, 0.0308, 0.0102, 0.0086, 0.1189, 0.0001, 0.0142, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 40.0]), label=10.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 43.0, 39.0]), label=10.0, probability=DenseVector([0.3126, 0.0197, 0.0, 0.0, 0.2327, 0.0, 0.085, 0.0238, 0.0113, 0.0066, 0.2992, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([2.0, 45.0, 33.0]), label=10.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 48.0, 37.0]), label=10.0, probability=DenseVector([0.1481, 0.0186, 0.0, 0.0, 0.1106, 0.0, 0.3984, 0.0232, 0.0109, 0.0165, 0.266, 0.0, 0.0077, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 30.0]), label=10.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 25.0]), label=12.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 39.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 42.0, 31.0]), label=10.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 43.0, 28.0]), label=1.0, probability=DenseVector([0.269, 0.0248, 0.0, 0.0, 0.2673, 0.0, 0.0748, 0.0366, 0.0259, 0.0035, 0.2808, 0.0, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 43.0, 36.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 51.0, 43.0]), label=10.0, probability=DenseVector([0.0687, 0.0452, 0.0264, 0.008, 0.0546, 0.0, 0.5763, 0.0144, 0.0189, 0.0163, 0.1542, 0.0018, 0.014, 0.0011]))
Row(prediction=1.0, features=DenseVector([4.0, 28.0, 24.0]), label=1.0, probability=DenseVector([0.1317, 0.2524, 0.0, 0.0003, 0.1842, 0.0, 0.0184, 0.1999, 0.0935, 0.0011, 0.0743, 0.0, 0.0441, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 30.0, 37.0]), label=12.0, probability=DenseVector([0.3211, 0.2418, 0.0, 0.0019, 0.173, 0.0, 0.0446, 0.1038, 0.0313, 0.001, 0.0476, 0.0001, 0.0338, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 35.0, 39.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 31.0]), label=10.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 24.0]), label=12.0, probability=DenseVector([0.2816, 0.0291, 0.0, 0.0, 0.2647, 0.0, 0.0691, 0.0398, 0.0281, 0.0041, 0.2656, 0.0, 0.0179, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=6.0, features=DenseVector([4.0, 47.0, 41.0]), label=10.0, probability=DenseVector([0.0958, 0.0392, 0.0194, 0.0043, 0.0771, 0.0, 0.505, 0.0154, 0.0186, 0.0156, 0.1938, 0.0015, 0.0139, 0.0002]))
Row(prediction=4.0, features=DenseVector([5.0, 29.0, 30.0]), label=1.0, probability=DenseVector([0.1833, 0.2085, 0.0, 0.002, 0.2629, 0.0, 0.0183, 0.1441, 0.0613, 0.0004, 0.0766, 0.0001, 0.0423, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 32.0, 37.0]), label=12.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 26.0]), label=10.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 29.0]), label=1.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 35.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 38.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 39.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 49.0, 38.0]), label=0.0, probability=DenseVector([0.1428, 0.0188, 0.0, 0.0, 0.1071, 0.0, 0.3999, 0.025, 0.0129, 0.0147, 0.2703, 0.0, 0.0085, 0.0]))
Row(prediction=4.0, features=DenseVector([6.0, 25.0, 31.0]), label=1.0, probability=DenseVector([0.1698, 0.2217, 0.0, 0.0013, 0.2496, 0.0, 0.0309, 0.1512, 0.056, 0.0004, 0.0755, 0.0001, 0.0437, 0.0]))
Row(prediction=4.0, features=DenseVector([6.0, 27.0, 30.0]), label=1.0, probability=DenseVector([0.1833, 0.2085, 0.0, 0.002, 0.2629, 0.0, 0.0183, 0.1441, 0.0613, 0.0004, 0.0766, 0.0001, 0.0423, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 31.0, 35.0]), label=1.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 28.0]), label=7.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 28.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 31.0]), label=12.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 41.0]), label=10.0, probability=DenseVector([0.4417, 0.1764, 0.0007, 0.0074, 0.0849, 0.0002, 0.0564, 0.0507, 0.026, 0.0116, 0.1075, 0.0019, 0.0346, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 44.0, 39.0]), label=4.0, probability=DenseVector([0.3126, 0.0197, 0.0, 0.0, 0.2327, 0.0, 0.085, 0.0238, 0.0113, 0.0066, 0.2992, 0.0, 0.0091, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 45.0, 43.0]), label=4.0, probability=DenseVector([0.1219, 0.073, 0.0034, 0.0014, 0.0833, 0.0, 0.4395, 0.0293, 0.0177, 0.0134, 0.1976, 0.0005, 0.019, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 45.0, 44.0]), label=12.0, probability=DenseVector([0.1079, 0.0735, 0.0161, 0.0084, 0.072, 0.0002, 0.4372, 0.0363, 0.0313, 0.0158, 0.1748, 0.0029, 0.0231, 0.0003]))
Row(prediction=6.0, features=DenseVector([6.0, 48.0, 44.0]), label=10.0, probability=DenseVector([0.0618, 0.0467, 0.04, 0.0116, 0.0504, 0.0002, 0.547, 0.0223, 0.0325, 0.0182, 0.1479, 0.0049, 0.0163, 0.0004]))
Row(prediction=1.0, features=DenseVector([7.0, 26.0, 45.0]), label=1.0, probability=DenseVector([0.1425, 0.4047, 0.0007, 0.0086, 0.0316, 0.0009, 0.0514, 0.1247, 0.0259, 0.0132, 0.0264, 0.0006, 0.1688, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 28.0]), label=4.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 32.0]), label=7.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 42.0]), label=7.0, probability=DenseVector([0.3623, 0.2219, 0.0007, 0.0081, 0.0857, 0.0002, 0.053, 0.079, 0.0265, 0.012, 0.0852, 0.0018, 0.0636, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 30.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 31.0]), label=10.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 27.0]), label=1.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 35.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 34.0]), label=7.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 34.0]), label=8.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([7.0, 47.0, 41.0]), label=10.0, probability=DenseVector([0.1681, 0.0789, 0.0197, 0.0044, 0.1208, 0.0, 0.1768, 0.0367, 0.0456, 0.0418, 0.2599, 0.002, 0.0451, 0.0002]))
Row(prediction=1.0, features=DenseVector([8.0, 28.0, 39.0]), label=12.0, probability=DenseVector([0.2558, 0.3061, 0.0, 0.0003, 0.1117, 0.0, 0.0385, 0.1421, 0.0372, 0.0073, 0.0335, 0.0001, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 29.0, 30.0]), label=1.0, probability=DenseVector([0.2439, 0.255, 0.0, 0.001, 0.1524, 0.0, 0.0108, 0.1621, 0.0847, 0.0004, 0.026, 0.0001, 0.0636, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 30.0, 34.0]), label=1.0, probability=DenseVector([0.3559, 0.2469, 0.0, 0.0014, 0.1653, 0.0, 0.0136, 0.111, 0.035, 0.0006, 0.0401, 0.0, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 30.0, 35.0]), label=12.0, probability=DenseVector([0.3559, 0.2469, 0.0, 0.0014, 0.1653, 0.0, 0.0136, 0.111, 0.035, 0.0006, 0.0401, 0.0, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 31.0, 35.0]), label=10.0, probability=DenseVector([0.3559, 0.2469, 0.0, 0.0014, 0.1653, 0.0, 0.0136, 0.111, 0.035, 0.0006, 0.0401, 0.0, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 27.0]), label=12.0, probability=DenseVector([0.3431, 0.1558, 0.0, 0.0008, 0.165, 0.0, 0.0099, 0.1471, 0.0913, 0.0044, 0.0388, 0.0, 0.0438, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 30.0]), label=1.0, probability=DenseVector([0.4342, 0.1142, 0.0, 0.0018, 0.2164, 0.0, 0.0066, 0.0759, 0.053, 0.0044, 0.0517, 0.0, 0.0416, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 31.0]), label=1.0, probability=DenseVector([0.4342, 0.1142, 0.0, 0.0018, 0.2164, 0.0, 0.0066, 0.0759, 0.053, 0.0044, 0.0517, 0.0, 0.0416, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 32.0, 36.0]), label=1.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 29.0]), label=4.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 33.0, 43.0]), label=7.0, probability=DenseVector([0.1856, 0.344, 0.0008, 0.008, 0.0488, 0.0009, 0.055, 0.1307, 0.0313, 0.0151, 0.0465, 0.0007, 0.1327, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 30.0]), label=7.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 36.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 34.0, 48.0]), label=12.0, probability=DenseVector([0.1107, 0.3476, 0.0028, 0.0254, 0.0322, 0.0001, 0.0574, 0.1277, 0.0476, 0.017, 0.0302, 0.0044, 0.1968, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 20.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 27.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 25.0]), label=12.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 33.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 37.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 42.0]), label=7.0, probability=DenseVector([0.4169, 0.1917, 0.0007, 0.0073, 0.0882, 0.0002, 0.0507, 0.0554, 0.0273, 0.0128, 0.1053, 0.0019, 0.0415, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 31.0]), label=10.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 32.0]), label=7.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 31.0]), label=8.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 34.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 34.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=1.0, features=DenseVector([8.0, 41.0, 44.0]), label=12.0, probability=DenseVector([0.2597, 0.262, 0.0017, 0.0047, 0.0765, 0.0002, 0.0795, 0.0696, 0.046, 0.0181, 0.0889, 0.003, 0.0901, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 40.0]), label=10.0, probability=DenseVector([0.4932, 0.0686, 0.0, 0.0, 0.1424, 0.0, 0.0455, 0.0347, 0.0142, 0.0174, 0.1624, 0.0, 0.0214, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 42.0, 44.0]), label=4.0, probability=DenseVector([0.2406, 0.2112, 0.0152, 0.0076, 0.0905, 0.0002, 0.0885, 0.0603, 0.0522, 0.0221, 0.1282, 0.0046, 0.0784, 0.0003]))
Row(prediction=10.0, features=DenseVector([8.0, 46.0, 46.0]), label=12.0, probability=DenseVector([0.1065, 0.0956, 0.0381, 0.0124, 0.1191, 0.0002, 0.1886, 0.0522, 0.0776, 0.0317, 0.2096, 0.0044, 0.0635, 0.0004]))
Row(prediction=0.0, features=DenseVector([8.0, 48.0, 29.0]), label=1.0, probability=DenseVector([0.3443, 0.0571, 0.0002, 0.0, 0.1607, 0.0, 0.2088, 0.0544, 0.0265, 0.0195, 0.0933, 0.0007, 0.0346, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 49.0, 34.0]), label=4.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 22.0, 22.0]), label=7.0, probability=DenseVector([0.1265, 0.2896, 0.0, 0.0, 0.0857, 0.0, 0.0189, 0.2758, 0.1296, 0.0012, 0.0103, 0.0, 0.0625, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 26.0, 32.0]), label=12.0, probability=DenseVector([0.2805, 0.2661, 0.0, 0.0003, 0.1397, 0.0, 0.0222, 0.1664, 0.0545, 0.0009, 0.0331, 0.0001, 0.0361, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 26.0, 37.0]), label=1.0, probability=DenseVector([0.2584, 0.33, 0.0, 0.0003, 0.1142, 0.0, 0.055, 0.1219, 0.0412, 0.0011, 0.0331, 0.0, 0.0448, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 28.0, 25.0]), label=12.0, probability=DenseVector([0.1377, 0.2972, 0.0, 0.0, 0.0903, 0.0, 0.0149, 0.2381, 0.1441, 0.0012, 0.0111, 0.0, 0.0654, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 28.0, 31.0]), label=12.0, probability=DenseVector([0.2439, 0.255, 0.0, 0.001, 0.1524, 0.0, 0.0108, 0.1621, 0.0847, 0.0004, 0.026, 0.0001, 0.0636, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 30.0, 29.0]), label=12.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 31.0, 30.0]), label=12.0, probability=DenseVector([0.3073, 0.2188, 0.0, 0.0013, 0.1764, 0.0, 0.007, 0.1241, 0.0755, 0.0001, 0.0311, 0.0, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 31.0]), label=12.0, probability=DenseVector([0.4342, 0.1142, 0.0, 0.0018, 0.2164, 0.0, 0.0066, 0.0759, 0.053, 0.0044, 0.0517, 0.0, 0.0416, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 28.0]), label=12.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 37.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 33.0, 42.0]), label=1.0, probability=DenseVector([0.2744, 0.285, 0.0008, 0.0072, 0.0852, 0.0009, 0.0528, 0.1034, 0.0224, 0.0192, 0.066, 0.0008, 0.0821, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 34.0, 45.0]), label=7.0, probability=DenseVector([0.1819, 0.336, 0.0007, 0.0089, 0.0443, 0.0002, 0.0535, 0.1294, 0.0354, 0.0125, 0.0436, 0.0017, 0.152, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 28.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 42.0]), label=1.0, probability=DenseVector([0.3642, 0.2251, 0.0007, 0.0073, 0.0866, 0.0002, 0.0496, 0.0757, 0.0263, 0.0119, 0.0874, 0.0019, 0.063, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 29.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 30.0]), label=12.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 39.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 41.0]), label=1.0, probability=DenseVector([0.4153, 0.1897, 0.0007, 0.0073, 0.0882, 0.0002, 0.0531, 0.0556, 0.0259, 0.0144, 0.107, 0.0019, 0.0407, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 23.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 28.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 32.0]), label=1.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 41.0]), label=10.0, probability=DenseVector([0.4289, 0.1865, 0.0007, 0.0071, 0.0841, 0.0002, 0.0506, 0.0529, 0.026, 0.0145, 0.1079, 0.0019, 0.0387, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 40.0]), label=12.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 40.0]), label=7.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 40.0, 45.0]), label=12.0, probability=DenseVector([0.2391, 0.2647, 0.0017, 0.0047, 0.0736, 0.0002, 0.0941, 0.0686, 0.0486, 0.0178, 0.0879, 0.003, 0.0962, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 24.0]), label=1.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 41.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 31.0]), label=8.0, probability=DenseVector([0.4205, 0.0482, 0.0, 0.0, 0.2464, 0.0, 0.0239, 0.0462, 0.027, 0.0123, 0.1496, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 32.0]), label=12.0, probability=DenseVector([0.4172, 0.0391, 0.0, 0.0, 0.2429, 0.0, 0.024, 0.0412, 0.0203, 0.0194, 0.1752, 0.0, 0.0205, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 43.0, 36.0]), label=7.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 30.0]), label=12.0, probability=DenseVector([0.4124, 0.0471, 0.0, 0.0, 0.2456, 0.0, 0.0263, 0.0471, 0.0299, 0.0128, 0.1516, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 36.0]), label=1.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 39.0]), label=10.0, probability=DenseVector([0.3783, 0.0545, 0.0003, 0.0001, 0.223, 0.0, 0.0331, 0.0426, 0.0232, 0.0265, 0.195, 0.0002, 0.0231, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 49.0, 37.0]), label=4.0, probability=DenseVector([0.3198, 0.0496, 0.0002, 0.0, 0.1747, 0.0, 0.1911, 0.0396, 0.021, 0.0319, 0.1428, 0.0007, 0.0285, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 29.0, 32.0]), label=1.0, probability=DenseVector([0.2765, 0.2788, 0.0, 0.0003, 0.1405, 0.0, 0.0193, 0.1607, 0.0535, 0.0009, 0.0323, 0.0001, 0.0371, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 30.0, 19.0]), label=1.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 30.0, 31.0]), label=1.0, probability=DenseVector([0.2999, 0.2271, 0.0, 0.0013, 0.1747, 0.0, 0.0065, 0.1279, 0.0744, 0.0001, 0.0302, 0.0, 0.058, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 30.0, 37.0]), label=1.0, probability=DenseVector([0.3304, 0.2824, 0.0, 0.0013, 0.146, 0.0, 0.0135, 0.115, 0.0273, 0.0027, 0.0381, 0.0001, 0.0432, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 31.0, 26.0]), label=12.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 31.0]), label=1.0, probability=DenseVector([0.2999, 0.2271, 0.0, 0.0013, 0.1747, 0.0, 0.0065, 0.1279, 0.0744, 0.0001, 0.0302, 0.0, 0.058, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 32.0]), label=12.0, probability=DenseVector([0.3588, 0.2395, 0.0, 0.0014, 0.1728, 0.0, 0.0113, 0.109, 0.0362, 0.0005, 0.0392, 0.0, 0.0315, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 37.0]), label=12.0, probability=DenseVector([0.3304, 0.2824, 0.0, 0.0013, 0.146, 0.0, 0.0135, 0.115, 0.0273, 0.0027, 0.0381, 0.0001, 0.0432, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 35.0]), label=12.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 25.0]), label=12.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 37.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 28.0]), label=7.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 30.0]), label=12.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 31.0]), label=12.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 34.0, 42.0]), label=1.0, probability=DenseVector([0.254, 0.3169, 0.0007, 0.0071, 0.0829, 0.0002, 0.0435, 0.1073, 0.0244, 0.0171, 0.0603, 0.0019, 0.0837, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 34.0, 42.0]), label=7.0, probability=DenseVector([0.254, 0.3169, 0.0007, 0.0071, 0.0829, 0.0002, 0.0435, 0.1073, 0.0244, 0.0171, 0.0603, 0.0019, 0.0837, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 34.0, 43.0]), label=7.0, probability=DenseVector([0.1754, 0.3644, 0.0007, 0.0081, 0.0466, 0.0002, 0.0482, 0.1316, 0.0336, 0.0118, 0.0436, 0.0018, 0.1339, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 28.0]), label=12.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=7.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 39.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 22.0]), label=12.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 30.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 21.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 25.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 37.0, 45.0]), label=10.0, probability=DenseVector([0.2382, 0.275, 0.0008, 0.0073, 0.0726, 0.0002, 0.0899, 0.069, 0.0461, 0.0121, 0.0867, 0.0034, 0.0987, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 28.0]), label=12.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 29.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 30.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 31.0]), label=8.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 38.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 39.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 42.0]), label=7.0, probability=DenseVector([0.4305, 0.1885, 0.0007, 0.0071, 0.0842, 0.0002, 0.0482, 0.0527, 0.0275, 0.0129, 0.1063, 0.0019, 0.0395, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 25.0]), label=1.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 30.0]), label=8.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 40.0]), label=1.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 26.0]), label=1.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 40.0]), label=10.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 29.0]), label=8.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 38.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 38.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 41.0]), label=12.0, probability=DenseVector([0.4553, 0.1719, 0.0003, 0.0031, 0.091, 0.0002, 0.0514, 0.0453, 0.0192, 0.014, 0.1167, 0.0006, 0.0311, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.4158, 0.0415, 0.0, 0.0, 0.2383, 0.0, 0.0251, 0.0438, 0.0237, 0.0202, 0.1702, 0.0, 0.0215, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 36.0]), label=1.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 40.0]), label=10.0, probability=DenseVector([0.4932, 0.0686, 0.0, 0.0, 0.1424, 0.0, 0.0455, 0.0347, 0.0142, 0.0174, 0.1624, 0.0, 0.0214, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 36.0]), label=8.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 32.0]), label=1.0, probability=DenseVector([0.4077, 0.0404, 0.0, 0.0, 0.2375, 0.0, 0.0275, 0.0446, 0.0266, 0.0206, 0.1722, 0.0, 0.0227, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 38.0]), label=1.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 38.0]), label=10.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 39.0]), label=8.0, probability=DenseVector([0.3783, 0.0545, 0.0003, 0.0001, 0.223, 0.0, 0.0331, 0.0426, 0.0232, 0.0265, 0.195, 0.0002, 0.0231, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 51.0, 30.0]), label=1.0, probability=DenseVector([0.3001, 0.0367, 0.0002, 0.0, 0.1175, 0.0, 0.3939, 0.0289, 0.0214, 0.0139, 0.069, 0.0022, 0.0161, 0.0]))
Row(prediction=6.0, features=DenseVector([10.0, 60.0, 42.0]), label=10.0, probability=DenseVector([0.1381, 0.1005, 0.0196, 0.0043, 0.0873, 0.0, 0.3986, 0.0178, 0.0359, 0.0348, 0.1226, 0.0045, 0.0358, 0.0002]))
Row(prediction=1.0, features=DenseVector([11.0, 25.0, 37.0]), label=12.0, probability=DenseVector([0.1629, 0.5096, 0.0, 0.0, 0.0716, 0.0, 0.0158, 0.1146, 0.0485, 0.0042, 0.0107, 0.0002, 0.062, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 26.0, 37.0]), label=1.0, probability=DenseVector([0.1629, 0.5096, 0.0, 0.0, 0.0716, 0.0, 0.0158, 0.1146, 0.0485, 0.0042, 0.0107, 0.0002, 0.062, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 26.0, 43.0]), label=1.0, probability=DenseVector([0.0908, 0.5561, 0.0008, 0.0095, 0.0233, 0.0009, 0.0432, 0.0741, 0.0459, 0.0133, 0.0174, 0.0021, 0.1226, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 31.0]), label=1.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 31.0]), label=1.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 34.0]), label=1.0, probability=DenseVector([0.168, 0.396, 0.0, 0.0, 0.0916, 0.0, 0.0098, 0.1942, 0.0752, 0.0046, 0.0066, 0.0008, 0.0533, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 38.0]), label=7.0, probability=DenseVector([0.1835, 0.5144, 0.0, 0.0, 0.0693, 0.0, 0.0143, 0.0921, 0.0372, 0.0041, 0.0134, 0.0004, 0.0714, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 24.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 28.0]), label=1.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 29.0]), label=12.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 31.0]), label=12.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 37.0]), label=7.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 40.0]), label=1.0, probability=DenseVector([0.1374, 0.5221, 0.0001, 0.0045, 0.0462, 0.0, 0.0282, 0.0773, 0.04, 0.0072, 0.0199, 0.0015, 0.1156, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 41.0]), label=1.0, probability=DenseVector([0.1191, 0.5078, 0.0008, 0.0106, 0.0341, 0.0009, 0.0414, 0.0713, 0.0463, 0.0143, 0.021, 0.0022, 0.13, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 28.0]), label=7.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 29.0]), label=12.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 30.0]), label=12.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 31.0]), label=7.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 31.0]), label=1.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 31.0]), label=12.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 32.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 32.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 33.0]), label=12.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 33.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 34.0]), label=12.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 36.0]), label=7.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 36.0]), label=7.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 36.0]), label=7.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 36.0]), label=7.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 36.0]), label=7.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 38.0]), label=1.0, probability=DenseVector([0.2304, 0.4535, 0.0, 0.0001, 0.0915, 0.0, 0.0081, 0.0941, 0.0359, 0.0039, 0.0173, 0.0004, 0.0649, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 22.0]), label=7.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 27.0]), label=12.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 29.0]), label=12.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 30.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 30.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 25.0]), label=8.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 29.0]), label=7.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 34.0, 45.0]), label=12.0, probability=DenseVector([0.1383, 0.4566, 0.0008, 0.0105, 0.034, 0.0002, 0.0417, 0.0932, 0.0584, 0.0136, 0.0311, 0.0034, 0.1181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 30.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 30.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=10.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 39.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.2664, 0.3383, 0.0002, 0.0028, 0.0892, 0.0, 0.0288, 0.0901, 0.0527, 0.0143, 0.0404, 0.0022, 0.0747, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 28.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 28.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.2045, 0.3947, 0.001, 0.0088, 0.0507, 0.0002, 0.0403, 0.0965, 0.0625, 0.0195, 0.0433, 0.0036, 0.0744, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 36.0, 41.0]), label=7.0, probability=DenseVector([0.2045, 0.3947, 0.001, 0.0088, 0.0507, 0.0002, 0.0403, 0.0965, 0.0625, 0.0195, 0.0433, 0.0036, 0.0744, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 29.0]), label=12.0, probability=DenseVector([0.444, 0.1309, 0.0, 0.0, 0.1761, 0.0, 0.0076, 0.0971, 0.0665, 0.019, 0.0341, 0.0001, 0.0246, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=8.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 37.0, 44.0]), label=10.0, probability=DenseVector([0.1764, 0.3949, 0.0011, 0.0085, 0.0531, 0.0002, 0.0498, 0.0974, 0.0716, 0.0238, 0.0439, 0.0052, 0.0741, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 24.0]), label=1.0, probability=DenseVector([0.4299, 0.1132, 0.0, 0.0, 0.1681, 0.0, 0.0111, 0.1094, 0.0773, 0.0226, 0.0408, 0.0001, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 29.0]), label=1.0, probability=DenseVector([0.4299, 0.1132, 0.0, 0.0, 0.1681, 0.0, 0.0111, 0.1094, 0.0773, 0.0226, 0.0408, 0.0001, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 29.0]), label=7.0, probability=DenseVector([0.4299, 0.1132, 0.0, 0.0, 0.1681, 0.0, 0.0111, 0.1094, 0.0773, 0.0226, 0.0408, 0.0001, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 30.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=12.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 19.0]), label=12.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=12.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 39.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 41.0, 41.0]), label=1.0, probability=DenseVector([0.2506, 0.3547, 0.0008, 0.0045, 0.0584, 0.0002, 0.0375, 0.0896, 0.0621, 0.0242, 0.064, 0.0022, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 41.0, 45.0]), label=7.0, probability=DenseVector([0.1709, 0.3775, 0.002, 0.0057, 0.0537, 0.0002, 0.0591, 0.0963, 0.0759, 0.0322, 0.0459, 0.0048, 0.0758, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 41.0, 45.0]), label=7.0, probability=DenseVector([0.1709, 0.3775, 0.002, 0.0057, 0.0537, 0.0002, 0.0591, 0.0963, 0.0759, 0.0322, 0.0459, 0.0048, 0.0758, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 28.0]), label=12.0, probability=DenseVector([0.3897, 0.1092, 0.0, 0.0, 0.1532, 0.0, 0.0207, 0.1253, 0.1068, 0.022, 0.04, 0.0001, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 34.0]), label=1.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 30.0]), label=12.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 43.0, 42.0]), label=10.0, probability=DenseVector([0.1996, 0.2955, 0.0047, 0.0035, 0.0795, 0.0, 0.0674, 0.0986, 0.0718, 0.0435, 0.0862, 0.0028, 0.0471, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2665, 0.1594, 0.0006, 0.0002, 0.1397, 0.0, 0.0687, 0.0718, 0.0616, 0.0528, 0.1388, 0.0016, 0.0383, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 32.0]), label=1.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 47.0, 33.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 26.0, 25.0]), label=12.0, probability=DenseVector([0.1415, 0.356, 0.0, 0.0, 0.0816, 0.0, 0.0152, 0.2147, 0.1178, 0.0038, 0.0042, 0.0004, 0.0649, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 26.0, 36.0]), label=1.0, probability=DenseVector([0.1614, 0.4405, 0.0, 0.0, 0.0863, 0.0, 0.0133, 0.1617, 0.0669, 0.004, 0.0082, 0.0012, 0.0564, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 27.0, 28.0]), label=12.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 29.0]), label=1.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 30.0]), label=12.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 30.0]), label=1.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 36.0]), label=1.0, probability=DenseVector([0.1666, 0.4296, 0.0, 0.0, 0.0872, 0.0, 0.0117, 0.1697, 0.0664, 0.004, 0.0082, 0.0005, 0.0559, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 28.0, 40.0]), label=1.0, probability=DenseVector([0.1083, 0.5629, 0.0001, 0.0032, 0.0305, 0.0, 0.0285, 0.0809, 0.0455, 0.0064, 0.0172, 0.0016, 0.1149, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 31.0]), label=12.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 29.0, 46.0]), label=1.0, probability=DenseVector([0.0877, 0.4743, 0.0009, 0.0121, 0.023, 0.0009, 0.0579, 0.0894, 0.0764, 0.0165, 0.0168, 0.0029, 0.1411, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 27.0]), label=12.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 31.0]), label=1.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 30.0, 37.0]), label=1.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 28.0]), label=12.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 29.0]), label=12.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 30.0]), label=12.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 31.0]), label=4.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 33.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 34.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 36.0]), label=7.0, probability=DenseVector([0.2504, 0.3226, 0.0, 0.0003, 0.133, 0.0, 0.0037, 0.1547, 0.0705, 0.0035, 0.0113, 0.0002, 0.0499, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 37.0]), label=7.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 37.0]), label=7.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 31.0, 37.0]), label=7.0, probability=DenseVector([0.2301, 0.4052, 0.0, 0.0002, 0.1021, 0.0, 0.0067, 0.1259, 0.0509, 0.0038, 0.015, 0.0002, 0.0599, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 28.0]), label=12.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 30.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 32.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 32.0, 42.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 26.0]), label=7.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 28.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 29.0]), label=7.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 29.0]), label=12.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 30.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 30.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 31.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 38.0]), label=12.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 33.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 27.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 29.0]), label=12.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 30.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 34.0, 42.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 34.0, 44.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 27.0]), label=12.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 28.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 30.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 35.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 35.0, 42.0]), label=7.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 24.0]), label=7.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 25.0]), label=7.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 25.0]), label=7.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 29.0]), label=12.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 29.0]), label=1.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 30.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 36.0, 41.0]), label=1.0, probability=DenseVector([0.1543, 0.4475, 0.0012, 0.009, 0.0414, 0.0002, 0.0375, 0.1022, 0.0765, 0.0216, 0.0327, 0.0039, 0.072, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 30.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 30.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 30.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 31.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=8.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=8.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=8.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=8.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=8.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 37.0, 40.0]), label=12.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.1066, 0.4246, 0.0014, 0.0102, 0.0315, 0.0002, 0.0622, 0.1142, 0.0876, 0.0367, 0.0199, 0.0053, 0.0997, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.1066, 0.4246, 0.0014, 0.0102, 0.0315, 0.0002, 0.0622, 0.1142, 0.0876, 0.0367, 0.0199, 0.0053, 0.0997, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 27.0]), label=1.0, probability=DenseVector([0.4299, 0.1132, 0.0, 0.0, 0.1681, 0.0, 0.0111, 0.1094, 0.0773, 0.0226, 0.0408, 0.0001, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 28.0]), label=1.0, probability=DenseVector([0.4299, 0.1132, 0.0, 0.0, 0.1681, 0.0, 0.0111, 0.1094, 0.0773, 0.0226, 0.0408, 0.0001, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 28.0]), label=1.0, probability=DenseVector([0.4299, 0.1132, 0.0, 0.0, 0.1681, 0.0, 0.0111, 0.1094, 0.0773, 0.0226, 0.0408, 0.0001, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 30.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 30.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 30.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 30.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 38.0, 41.0]), label=10.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 38.0, 44.0]), label=1.0, probability=DenseVector([0.1563, 0.4317, 0.0013, 0.0086, 0.0428, 0.0002, 0.0377, 0.1077, 0.0847, 0.0252, 0.0331, 0.004, 0.0667, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 29.0]), label=1.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 30.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 31.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=12.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=12.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 37.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 38.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 31.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 32.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 37.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 40.0, 39.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 40.0, 46.0]), label=12.0, probability=DenseVector([0.1345, 0.4155, 0.0025, 0.0067, 0.0401, 0.0002, 0.0518, 0.1114, 0.0898, 0.0374, 0.0288, 0.0044, 0.0769, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 28.0]), label=1.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 31.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 38.0]), label=0.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=12.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=7.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 34.0]), label=7.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=1.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 35.0]), label=12.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 36.0]), label=12.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 42.0, 38.0]), label=1.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 42.0, 42.0]), label=10.0, probability=DenseVector([0.1856, 0.3827, 0.0016, 0.0019, 0.0599, 0.0, 0.0487, 0.0962, 0.0715, 0.029, 0.0658, 0.0026, 0.0547, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 43.0, 31.0]), label=12.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1804, 0.323, 0.005, 0.0036, 0.0681, 0.0, 0.0686, 0.1036, 0.0747, 0.0429, 0.0777, 0.003, 0.0494, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 45.0, 39.0]), label=10.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 46.0, 33.0]), label=4.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([12.0, 47.0, 35.0]), label=7.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 54.0, 37.0]), label=12.0, probability=DenseVector([0.3134, 0.0544, 0.0002, 0.0, 0.1115, 0.0, 0.332, 0.0553, 0.0359, 0.0225, 0.0527, 0.0029, 0.0191, 0.0]))
Row(prediction=6.0, features=DenseVector([12.0, 55.0, 33.0]), label=1.0, probability=DenseVector([0.3079, 0.0485, 0.0002, 0.0, 0.1089, 0.0, 0.3433, 0.057, 0.0393, 0.0217, 0.0502, 0.0034, 0.0196, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 26.0, 24.0]), label=1.0, probability=DenseVector([0.1453, 0.3485, 0.0, 0.0, 0.0886, 0.0, 0.0163, 0.2053, 0.1227, 0.0049, 0.005, 0.0004, 0.0629, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 27.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 29.0]), label=1.0, probability=DenseVector([0.1535, 0.3524, 0.0, 0.0, 0.0935, 0.0, 0.0113, 0.1897, 0.1238, 0.0051, 0.0051, 0.0004, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 37.0]), label=1.0, probability=DenseVector([0.1676, 0.4978, 0.0, 0.0, 0.0722, 0.0, 0.0186, 0.1074, 0.0481, 0.004, 0.0141, 0.0002, 0.07, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 28.0, 38.0]), label=1.0, probability=DenseVector([0.1835, 0.5144, 0.0, 0.0, 0.0693, 0.0, 0.0143, 0.0921, 0.0372, 0.0041, 0.0134, 0.0004, 0.0714, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 30.0]), label=12.0, probability=DenseVector([0.181, 0.3423, 0.0, 0.0, 0.1257, 0.0, 0.0098, 0.1879, 0.0852, 0.0046, 0.0084, 0.0009, 0.0544, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 29.0, 43.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 25.0]), label=12.0, probability=DenseVector([0.197, 0.2775, 0.0, 0.0001, 0.1163, 0.0, 0.0064, 0.1714, 0.1636, 0.0027, 0.0083, 0.0003, 0.0563, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 28.0]), label=12.0, probability=DenseVector([0.197, 0.2775, 0.0, 0.0001, 0.1163, 0.0, 0.0064, 0.1714, 0.1636, 0.0027, 0.0083, 0.0003, 0.0563, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 30.0, 32.0]), label=1.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 30.0, 33.0]), label=12.0, probability=DenseVector([0.2882, 0.2623, 0.0, 0.0002, 0.1835, 0.0, 0.004, 0.132, 0.067, 0.0041, 0.0146, 0.0003, 0.0439, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 30.0, 36.0]), label=1.0, probability=DenseVector([0.308, 0.2706, 0.0, 0.0002, 0.1629, 0.0, 0.0037, 0.1266, 0.0617, 0.0037, 0.02, 0.0003, 0.0424, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 39.0]), label=1.0, probability=DenseVector([0.2263, 0.4762, 0.0, 0.0001, 0.0891, 0.0, 0.0078, 0.0845, 0.032, 0.004, 0.0181, 0.0004, 0.0617, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 30.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 31.0]), label=1.0, probability=DenseVector([0.2775, 0.2643, 0.0, 0.0002, 0.1805, 0.0, 0.004, 0.1379, 0.0732, 0.0041, 0.0139, 0.0003, 0.0442, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 31.0, 36.0]), label=7.0, probability=DenseVector([0.308, 0.2706, 0.0, 0.0002, 0.1629, 0.0, 0.0037, 0.1266, 0.0617, 0.0037, 0.02, 0.0003, 0.0424, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 37.0]), label=7.0, probability=DenseVector([0.2533, 0.3887, 0.0, 0.0002, 0.1121, 0.0, 0.0065, 0.1135, 0.0468, 0.0039, 0.0188, 0.0002, 0.0559, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 37.0]), label=12.0, probability=DenseVector([0.2533, 0.3887, 0.0, 0.0002, 0.1121, 0.0, 0.0065, 0.1135, 0.0468, 0.0039, 0.0188, 0.0002, 0.0559, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 45.0]), label=1.0, probability=DenseVector([0.1091, 0.5023, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0702, 0.0534, 0.0143, 0.019, 0.0032, 0.153, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 31.0, 46.0]), label=12.0, probability=DenseVector([0.0885, 0.4607, 0.0009, 0.0118, 0.023, 0.0009, 0.068, 0.0916, 0.0767, 0.0162, 0.0161, 0.005, 0.1406, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 31.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 31.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 32.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 47.0]), label=1.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 22.0]), label=1.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 28.0]), label=7.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 33.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 33.0, 40.0]), label=7.0, probability=DenseVector([0.2072, 0.4019, 0.0001, 0.0035, 0.0774, 0.0, 0.0261, 0.0904, 0.0611, 0.0137, 0.03, 0.0021, 0.0864, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 33.0, 41.0]), label=12.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 29.0]), label=1.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 29.0]), label=1.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 31.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 33.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 34.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 39.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 34.0, 43.0]), label=10.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 34.0, 45.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 18.0]), label=1.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 25.0]), label=8.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 29.0]), label=1.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 30.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 30.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 33.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 35.0, 42.0]), label=1.0, probability=DenseVector([0.1303, 0.4766, 0.001, 0.0101, 0.0363, 0.0002, 0.0372, 0.0984, 0.0724, 0.0176, 0.0255, 0.0041, 0.0904, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 28.0]), label=1.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 29.0]), label=12.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 29.0]), label=12.0, probability=DenseVector([0.4464, 0.1351, 0.0, 0.0, 0.1777, 0.0, 0.0072, 0.0949, 0.0622, 0.0178, 0.033, 0.0001, 0.0256, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=12.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=8.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=7.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=10.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 36.0, 39.0]), label=4.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 40.0]), label=7.0, probability=DenseVector([0.2505, 0.348, 0.0002, 0.0016, 0.0984, 0.0, 0.0207, 0.1016, 0.0696, 0.0172, 0.04, 0.0024, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 36.0, 45.0]), label=12.0, probability=DenseVector([0.1396, 0.4567, 0.0013, 0.0092, 0.0386, 0.0002, 0.0388, 0.1058, 0.0808, 0.0232, 0.0274, 0.0041, 0.0743, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 26.0]), label=7.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 26.0]), label=1.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 29.0]), label=7.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 29.0]), label=8.0, probability=DenseVector([0.445, 0.1305, 0.0, 0.0, 0.1756, 0.0, 0.0076, 0.0975, 0.0646, 0.019, 0.0341, 0.0001, 0.0261, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 32.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=12.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=8.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=0.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=12.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=0.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=12.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.45, 0.1382, 0.0, 0.0, 0.1801, 0.0, 0.0065, 0.0942, 0.0574, 0.0195, 0.0352, 0.0001, 0.0187, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=7.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=7.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=8.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.26, 0.3308, 0.0002, 0.0012, 0.0997, 0.0, 0.0196, 0.1054, 0.0736, 0.0193, 0.0438, 0.0024, 0.044, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 41.0]), label=7.0, probability=DenseVector([0.1653, 0.4349, 0.0012, 0.0085, 0.0448, 0.0002, 0.0359, 0.1035, 0.0782, 0.0224, 0.0354, 0.004, 0.0657, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 44.0]), label=7.0, probability=DenseVector([0.1506, 0.4441, 0.0013, 0.0087, 0.042, 0.0002, 0.0372, 0.1071, 0.0825, 0.0241, 0.0301, 0.0042, 0.068, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 37.0, 44.0]), label=1.0, probability=DenseVector([0.1506, 0.4441, 0.0013, 0.0087, 0.042, 0.0002, 0.0372, 0.1071, 0.0825, 0.0241, 0.0301, 0.0042, 0.068, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 26.0]), label=7.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 26.0]), label=8.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 29.0]), label=1.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 29.0]), label=12.0, probability=DenseVector([0.4309, 0.1127, 0.0, 0.0, 0.1676, 0.0, 0.0111, 0.1098, 0.0755, 0.0226, 0.0408, 0.0001, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 30.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 31.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 32.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=0.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=12.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=12.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=12.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=0.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=10.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 38.0]), label=1.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 38.0, 39.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 40.0]), label=8.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 40.0]), label=7.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 40.0]), label=7.0, probability=DenseVector([0.2663, 0.3079, 0.0002, 0.001, 0.0974, 0.0, 0.0205, 0.1118, 0.0786, 0.021, 0.0497, 0.002, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 42.0]), label=7.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 38.0, 44.0]), label=12.0, probability=DenseVector([0.1563, 0.4317, 0.0013, 0.0086, 0.0428, 0.0002, 0.0377, 0.1077, 0.0847, 0.0252, 0.0331, 0.004, 0.0667, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 24.0]), label=1.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 29.0]), label=1.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 29.0]), label=1.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 31.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=12.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=12.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 39.0, 38.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 41.0]), label=8.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 42.0]), label=12.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 39.0, 42.0]), label=7.0, probability=DenseVector([0.171, 0.4225, 0.0012, 0.0084, 0.0456, 0.0002, 0.0364, 0.1041, 0.0804, 0.0236, 0.0384, 0.0038, 0.0644, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 27.0]), label=1.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 28.0]), label=12.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 29.0]), label=12.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 31.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 31.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 32.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 40.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 41.0]), label=8.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 43.0]), label=10.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 40.0, 43.0]), label=7.0, probability=DenseVector([0.176, 0.427, 0.001, 0.0047, 0.0482, 0.0002, 0.035, 0.1021, 0.0763, 0.025, 0.0434, 0.0026, 0.0584, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 29.0]), label=12.0, probability=DenseVector([0.4276, 0.111, 0.0, 0.0, 0.1661, 0.0, 0.0114, 0.112, 0.0772, 0.0229, 0.0425, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 30.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 31.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=1.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 37.0]), label=1.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 41.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 28.0]), label=12.0, probability=DenseVector([0.3907, 0.1087, 0.0, 0.0, 0.1527, 0.0, 0.0207, 0.1257, 0.1049, 0.022, 0.04, 0.0001, 0.0345, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 42.0, 34.0]), label=7.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 42.0, 41.0]), label=10.0, probability=DenseVector([0.1792, 0.3949, 0.0018, 0.002, 0.0562, 0.0, 0.0453, 0.1009, 0.0753, 0.0311, 0.054, 0.0028, 0.0563, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 26.0]), label=12.0, probability=DenseVector([0.3826, 0.1076, 0.0, 0.0, 0.1519, 0.0, 0.0232, 0.1266, 0.1079, 0.0225, 0.042, 0.0001, 0.0357, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 29.0]), label=12.0, probability=DenseVector([0.3826, 0.1076, 0.0, 0.0, 0.1519, 0.0, 0.0232, 0.1266, 0.1079, 0.0225, 0.042, 0.0001, 0.0357, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 35.0]), label=12.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 43.0, 36.0]), label=1.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 43.0, 41.0]), label=10.0, probability=DenseVector([0.174, 0.3352, 0.0053, 0.0038, 0.0644, 0.0, 0.0653, 0.1084, 0.0784, 0.0451, 0.0659, 0.0033, 0.0511, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 43.0, 61.0]), label=1.0, probability=DenseVector([0.1187, 0.2912, 0.0117, 0.0196, 0.0532, 0.0025, 0.0803, 0.1039, 0.1025, 0.0778, 0.0382, 0.0174, 0.083, 0.0001]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 34.0]), label=1.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 36.0]), label=1.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 44.0, 37.0]), label=10.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 44.0, 43.0]), label=1.0, probability=DenseVector([0.1737, 0.2863, 0.0058, 0.0031, 0.0773, 0.0, 0.0862, 0.0956, 0.0757, 0.0656, 0.0787, 0.0032, 0.0488, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 37.0]), label=1.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 45.0, 39.0]), label=12.0, probability=DenseVector([0.3817, 0.1328, 0.0006, 0.0003, 0.1562, 0.0, 0.0248, 0.1121, 0.0772, 0.0313, 0.0538, 0.0008, 0.0284, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 46.0, 34.0]), label=1.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 46.0, 37.0]), label=10.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=1.0, features=DenseVector([13.0, 46.0, 41.0]), label=12.0, probability=DenseVector([0.1801, 0.2424, 0.0082, 0.003, 0.0851, 0.0, 0.1181, 0.0818, 0.0774, 0.0676, 0.0829, 0.0031, 0.0503, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 47.0, 33.0]), label=8.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 47.0, 37.0]), label=4.0, probability=DenseVector([0.4106, 0.1077, 0.0, 0.0, 0.1698, 0.0, 0.0187, 0.1095, 0.0792, 0.0261, 0.0511, 0.0001, 0.0271, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 47.0, 40.0]), label=12.0, probability=DenseVector([0.2544, 0.1673, 0.0033, 0.0005, 0.1245, 0.0, 0.1219, 0.0684, 0.0723, 0.0552, 0.0868, 0.0021, 0.0433, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 48.0, 35.0]), label=12.0, probability=DenseVector([0.3319, 0.0693, 0.0002, 0.0, 0.1528, 0.0, 0.1821, 0.0706, 0.0429, 0.033, 0.0775, 0.0011, 0.0385, 0.0]))
Row(prediction=0.0, features=DenseVector([13.0, 49.0, 32.0]), label=1.0, probability=DenseVector([0.3506, 0.0607, 0.0002, 0.0, 0.1369, 0.0, 0.215, 0.0759, 0.0447, 0.0239, 0.056, 0.0018, 0.0342, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 24.0, 38.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 26.0, 40.0]), label=1.0, probability=DenseVector([0.0825, 0.6155, 0.0001, 0.0033, 0.0277, 0.0, 0.0339, 0.0736, 0.0426, 0.0071, 0.0144, 0.0015, 0.0977, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 37.0]), label=1.0, probability=DenseVector([0.2163, 0.471, 0.0, 0.0, 0.0979, 0.0, 0.0249, 0.0651, 0.0369, 0.0029, 0.0261, 0.0001, 0.0587, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 40.0]), label=1.0, probability=DenseVector([0.1041, 0.572, 0.0001, 0.0032, 0.0308, 0.0, 0.0299, 0.0757, 0.0439, 0.0069, 0.0176, 0.0016, 0.1141, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 41.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 28.0, 50.0]), label=12.0, probability=DenseVector([0.0556, 0.4234, 0.0029, 0.0541, 0.0128, 0.0006, 0.0698, 0.1019, 0.0766, 0.0187, 0.0091, 0.0064, 0.168, 0.0001]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 26.0]), label=1.0, probability=DenseVector([0.2131, 0.3377, 0.0, 0.0, 0.1201, 0.0, 0.0167, 0.1388, 0.1033, 0.005, 0.019, 0.0002, 0.0462, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 29.0]), label=1.0, probability=DenseVector([0.2131, 0.3377, 0.0, 0.0, 0.1201, 0.0, 0.0167, 0.1388, 0.1033, 0.005, 0.019, 0.0002, 0.0462, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 37.0]), label=12.0, probability=DenseVector([0.2163, 0.471, 0.0, 0.0, 0.0979, 0.0, 0.0249, 0.0651, 0.0369, 0.0029, 0.0261, 0.0001, 0.0587, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 29.0, 43.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 26.0]), label=1.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 30.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 31.0, 31.0]), label=12.0, probability=DenseVector([0.4431, 0.1221, 0.0, 0.0, 0.2616, 0.0, 0.0043, 0.064, 0.0431, 0.0018, 0.0422, 0.0001, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 40.0]), label=1.0, probability=DenseVector([0.1441, 0.547, 0.0001, 0.0032, 0.0509, 0.0, 0.0244, 0.0603, 0.0337, 0.0063, 0.0257, 0.0016, 0.1027, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 41.0]), label=12.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 31.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 27.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 29.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 38.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 32.0, 39.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 32.0, 40.0]), label=1.0, probability=DenseVector([0.2135, 0.4138, 0.0001, 0.0035, 0.0791, 0.0, 0.0261, 0.0788, 0.0541, 0.0111, 0.0319, 0.002, 0.0861, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 33.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 33.0, 40.0]), label=1.0, probability=DenseVector([0.2207, 0.3892, 0.0001, 0.0035, 0.084, 0.0, 0.0261, 0.0841, 0.0584, 0.0122, 0.0344, 0.0021, 0.0853, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 19.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 34.0, 38.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 34.0, 44.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0716, 0.4436, 0.0029, 0.0296, 0.0181, 0.0001, 0.0637, 0.1067, 0.0755, 0.0233, 0.0119, 0.0063, 0.1468, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 29.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 29.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 32.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 35.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 40.0]), label=10.0, probability=DenseVector([0.2334, 0.3711, 0.0002, 0.0029, 0.0894, 0.0, 0.0242, 0.0915, 0.0647, 0.0146, 0.0363, 0.0025, 0.0691, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 35.0, 47.0]), label=7.0, probability=DenseVector([0.0915, 0.4469, 0.001, 0.0132, 0.0256, 0.0002, 0.0593, 0.1094, 0.077, 0.0276, 0.0162, 0.0051, 0.127, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 28.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 30.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 38.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 44.0]), label=1.0, probability=DenseVector([0.1396, 0.4567, 0.0013, 0.0092, 0.0386, 0.0002, 0.0388, 0.1058, 0.0808, 0.0232, 0.0274, 0.0041, 0.0743, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 36.0, 55.0]), label=12.0, probability=DenseVector([0.0933, 0.4023, 0.0052, 0.0187, 0.0273, 0.0, 0.0583, 0.1152, 0.0975, 0.0463, 0.0172, 0.0174, 0.1012, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 28.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 37.0, 39.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 41.0]), label=1.0, probability=DenseVector([0.153, 0.451, 0.0012, 0.0085, 0.0423, 0.0002, 0.0341, 0.1067, 0.0801, 0.0223, 0.0302, 0.0039, 0.0665, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 37.0, 44.0]), label=1.0, probability=DenseVector([0.1506, 0.4441, 0.0013, 0.0087, 0.042, 0.0002, 0.0372, 0.1071, 0.0825, 0.0241, 0.0301, 0.0042, 0.068, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 28.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 29.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 31.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 37.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 40.0]), label=1.0, probability=DenseVector([0.2726, 0.3043, 0.0002, 0.001, 0.1034, 0.0, 0.0201, 0.1078, 0.0772, 0.0182, 0.0522, 0.002, 0.0409, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 40.0]), label=7.0, probability=DenseVector([0.2726, 0.3043, 0.0002, 0.001, 0.1034, 0.0, 0.0201, 0.1078, 0.0772, 0.0182, 0.0522, 0.002, 0.0409, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 40.0]), label=7.0, probability=DenseVector([0.2726, 0.3043, 0.0002, 0.001, 0.1034, 0.0, 0.0201, 0.1078, 0.0772, 0.0182, 0.0522, 0.002, 0.0409, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 40.0]), label=7.0, probability=DenseVector([0.2726, 0.3043, 0.0002, 0.001, 0.1034, 0.0, 0.0201, 0.1078, 0.0772, 0.0182, 0.0522, 0.002, 0.0409, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 38.0, 41.0]), label=8.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 28.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 29.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 29.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 29.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 29.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 35.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 39.0, 39.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 40.0]), label=8.0, probability=DenseVector([0.2694, 0.3026, 0.0002, 0.001, 0.1018, 0.0, 0.0203, 0.11, 0.079, 0.0184, 0.054, 0.002, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 40.0]), label=8.0, probability=DenseVector([0.2694, 0.3026, 0.0002, 0.001, 0.1018, 0.0, 0.0203, 0.11, 0.079, 0.0184, 0.054, 0.002, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 41.0]), label=8.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 41.0]), label=8.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 41.0]), label=8.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 39.0, 41.0]), label=8.0, probability=DenseVector([0.1587, 0.4386, 0.0012, 0.0084, 0.0431, 0.0002, 0.0346, 0.1073, 0.0822, 0.0234, 0.0332, 0.0037, 0.0652, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 26.0]), label=1.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 28.0]), label=1.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 28.0]), label=8.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 30.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 31.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 37.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=8.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=8.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 40.0]), label=7.0, probability=DenseVector([0.2512, 0.311, 0.0002, 0.001, 0.0939, 0.0, 0.0221, 0.1169, 0.083, 0.0197, 0.0564, 0.002, 0.0425, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 41.0]), label=8.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 42.0]), label=0.0, probability=DenseVector([0.1638, 0.4432, 0.001, 0.0047, 0.0458, 0.0002, 0.0332, 0.1053, 0.0782, 0.0248, 0.0382, 0.0025, 0.0592, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 40.0, 53.0]), label=12.0, probability=DenseVector([0.111, 0.3624, 0.0133, 0.02, 0.0329, 0.0, 0.0661, 0.1104, 0.1004, 0.0542, 0.0218, 0.018, 0.0896, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 28.0]), label=12.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 28.0]), label=12.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 32.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 34.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 37.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 41.0, 38.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.1572, 0.4214, 0.0022, 0.0059, 0.0438, 0.0002, 0.0419, 0.1074, 0.0872, 0.031, 0.0343, 0.0035, 0.0642, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 30.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=7.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 34.0]), label=7.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 35.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 42.0, 36.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 29.0]), label=12.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 32.0]), label=1.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 35.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 39.0]), label=7.0, probability=DenseVector([0.3949, 0.1064, 0.0006, 0.0003, 0.1832, 0.0, 0.033, 0.0864, 0.068, 0.0236, 0.0754, 0.0007, 0.0274, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 43.0, 39.0]), label=1.0, probability=DenseVector([0.3949, 0.1064, 0.0006, 0.0003, 0.1832, 0.0, 0.033, 0.0864, 0.068, 0.0236, 0.0754, 0.0007, 0.0274, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 40.0]), label=1.0, probability=DenseVector([0.2407, 0.2605, 0.0012, 0.0011, 0.1049, 0.0, 0.0401, 0.1195, 0.0828, 0.0332, 0.0733, 0.0025, 0.0402, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 41.0]), label=1.0, probability=DenseVector([0.1617, 0.3513, 0.0053, 0.0038, 0.0619, 0.0, 0.0635, 0.1116, 0.0803, 0.0449, 0.0607, 0.0032, 0.0519, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 41.0]), label=0.0, probability=DenseVector([0.1617, 0.3513, 0.0053, 0.0038, 0.0619, 0.0, 0.0635, 0.1116, 0.0803, 0.0449, 0.0607, 0.0032, 0.0519, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.1305, 0.3032, 0.0193, 0.013, 0.0556, 0.0002, 0.0929, 0.1014, 0.0964, 0.0656, 0.0413, 0.0096, 0.0706, 0.0003]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 33.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 44.0, 36.0]), label=12.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 44.0, 44.0]), label=1.0, probability=DenseVector([0.1668, 0.2626, 0.0195, 0.0101, 0.0711, 0.0002, 0.0895, 0.0946, 0.0869, 0.0705, 0.0673, 0.0062, 0.0544, 0.0003]))
Row(prediction=1.0, features=DenseVector([14.0, 44.0, 44.0]), label=1.0, probability=DenseVector([0.1668, 0.2626, 0.0195, 0.0101, 0.0711, 0.0002, 0.0895, 0.0946, 0.0869, 0.0705, 0.0673, 0.0062, 0.0544, 0.0003]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 32.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 35.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 45.0, 40.0]), label=1.0, probability=DenseVector([0.243, 0.2095, 0.0018, 0.0006, 0.1161, 0.0, 0.0685, 0.0956, 0.0765, 0.0581, 0.088, 0.0026, 0.0397, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 45.0, 42.0]), label=1.0, probability=DenseVector([0.1748, 0.2555, 0.0068, 0.0031, 0.0853, 0.0, 0.1028, 0.09, 0.0755, 0.0692, 0.0844, 0.0033, 0.0493, 0.0]))
Row(prediction=0.0, features=DenseVector([14.0, 46.0, 32.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([14.0, 46.0, 46.0]), label=10.0, probability=DenseVector([0.1568, 0.2171, 0.0416, 0.0142, 0.0768, 0.0002, 0.1165, 0.0846, 0.0874, 0.0727, 0.0735, 0.0078, 0.0504, 0.0004]))
Row(prediction=0.0, features=DenseVector([14.0, 47.0, 35.0]), label=12.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 47.0, 41.0]), label=4.0, probability=DenseVector([0.1738, 0.1756, 0.0228, 0.0049, 0.0984, 0.0, 0.2033, 0.0504, 0.067, 0.0639, 0.0881, 0.0036, 0.0481, 0.0002]))
Row(prediction=6.0, features=DenseVector([14.0, 48.0, 40.0]), label=10.0, probability=DenseVector([0.2309, 0.1169, 0.003, 0.0002, 0.1325, 0.0, 0.2395, 0.0385, 0.0509, 0.0442, 0.0948, 0.0022, 0.0464, 0.0]))
Row(prediction=6.0, features=DenseVector([14.0, 50.0, 36.0]), label=10.0, probability=DenseVector([0.2956, 0.0447, 0.0002, 0.0, 0.1148, 0.0, 0.3666, 0.0443, 0.0305, 0.0239, 0.055, 0.0025, 0.0218, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 23.0, 48.0]), label=12.0, probability=DenseVector([0.0544, 0.4683, 0.0029, 0.0522, 0.0122, 0.0006, 0.055, 0.0882, 0.0645, 0.0187, 0.0091, 0.0056, 0.1682, 0.0001]))
Row(prediction=1.0, features=DenseVector([15.0, 25.0, 36.0]), label=1.0, probability=DenseVector([0.214, 0.4184, 0.0, 0.0, 0.1215, 0.0, 0.0249, 0.0962, 0.0517, 0.0029, 0.0247, 0.0014, 0.0444, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 27.0, 32.0]), label=1.0, probability=DenseVector([0.2332, 0.3324, 0.0, 0.0, 0.1479, 0.0, 0.016, 0.1372, 0.0671, 0.003, 0.0213, 0.0007, 0.0413, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 27.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 28.0, 34.0]), label=12.0, probability=DenseVector([0.2534, 0.3349, 0.0, 0.0, 0.1461, 0.0, 0.0178, 0.1188, 0.0603, 0.003, 0.0249, 0.001, 0.0399, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 28.0, 50.0]), label=1.0, probability=DenseVector([0.0556, 0.4234, 0.0029, 0.0541, 0.0128, 0.0006, 0.0698, 0.1019, 0.0766, 0.0187, 0.0091, 0.0064, 0.168, 0.0001]))
Row(prediction=1.0, features=DenseVector([15.0, 29.0, 42.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 28.0]), label=12.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 29.0]), label=1.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 30.0]), label=1.0, probability=DenseVector([0.4431, 0.1221, 0.0, 0.0, 0.2616, 0.0, 0.0043, 0.064, 0.0431, 0.0018, 0.0422, 0.0001, 0.0178, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 30.0, 31.0]), label=4.0, probability=DenseVector([0.4431, 0.1221, 0.0, 0.0, 0.2616, 0.0, 0.0043, 0.064, 0.0431, 0.0018, 0.0422, 0.0001, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 30.0, 40.0]), label=1.0, probability=DenseVector([0.1441, 0.547, 0.0001, 0.0032, 0.0509, 0.0, 0.0244, 0.0603, 0.0337, 0.0063, 0.0257, 0.0016, 0.1027, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 30.0, 40.0]), label=1.0, probability=DenseVector([0.1441, 0.547, 0.0001, 0.0032, 0.0509, 0.0, 0.0244, 0.0603, 0.0337, 0.0063, 0.0257, 0.0016, 0.1027, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 30.0, 43.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 30.0, 46.0]), label=1.0, probability=DenseVector([0.0885, 0.4607, 0.0009, 0.0118, 0.023, 0.0009, 0.068, 0.0916, 0.0767, 0.0162, 0.0161, 0.005, 0.1406, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 30.0, 48.0]), label=12.0, probability=DenseVector([0.0563, 0.4098, 0.0029, 0.0538, 0.0128, 0.0006, 0.0799, 0.1041, 0.0769, 0.0184, 0.0084, 0.0084, 0.1675, 0.0001]))
Row(prediction=0.0, features=DenseVector([15.0, 31.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0563, 0.4098, 0.0029, 0.0538, 0.0128, 0.0006, 0.0799, 0.1041, 0.0769, 0.0184, 0.0084, 0.0084, 0.1675, 0.0001]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 23.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 32.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 32.0, 42.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 32.0, 43.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 32.0, 46.0]), label=1.0, probability=DenseVector([0.0944, 0.4725, 0.0012, 0.0123, 0.0263, 0.0009, 0.0533, 0.0976, 0.0679, 0.0219, 0.018, 0.0036, 0.13, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 26.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 27.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 33.0, 38.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 33.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 34.0, 40.0]), label=7.0, probability=DenseVector([0.2207, 0.3892, 0.0001, 0.0035, 0.084, 0.0, 0.0261, 0.0841, 0.0584, 0.0122, 0.0344, 0.0021, 0.0853, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 24.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 30.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 33.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 40.0]), label=1.0, probability=DenseVector([0.2309, 0.3694, 0.0003, 0.003, 0.0874, 0.0, 0.025, 0.0936, 0.0674, 0.0158, 0.0365, 0.0025, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 41.0]), label=12.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 43.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 35.0, 46.0]), label=1.0, probability=DenseVector([0.1103, 0.4588, 0.0013, 0.0126, 0.0304, 0.0002, 0.045, 0.1084, 0.0771, 0.0226, 0.021, 0.0049, 0.1073, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 20.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 36.0, 38.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 44.0]), label=12.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 36.0, 46.0]), label=12.0, probability=DenseVector([0.1263, 0.4438, 0.0017, 0.01, 0.034, 0.0002, 0.0449, 0.1134, 0.0865, 0.0294, 0.0244, 0.0048, 0.0807, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 26.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 29.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 36.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 37.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 40.0]), label=1.0, probability=DenseVector([0.2552, 0.3353, 0.0003, 0.0013, 0.1011, 0.0, 0.021, 0.1047, 0.0752, 0.0183, 0.0444, 0.0023, 0.0408, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 41.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 44.0]), label=12.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 37.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 27.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 31.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 32.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 38.0, 39.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 40.0]), label=8.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 40.0]), label=8.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 41.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 41.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 42.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 42.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 38.0, 43.0]), label=12.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 24.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 31.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 33.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=8.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=8.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 40.0]), label=8.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 42.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 49.0]), label=7.0, probability=DenseVector([0.1078, 0.4078, 0.0042, 0.0262, 0.0277, 0.0001, 0.0576, 0.1189, 0.093, 0.0405, 0.0195, 0.0072, 0.0897, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 31.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 32.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 40.0]), label=7.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 40.0]), label=8.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 41.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=10.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 44.0]), label=7.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.1087, 0.3974, 0.0051, 0.0235, 0.0287, 0.0001, 0.0618, 0.1185, 0.0955, 0.0463, 0.0207, 0.0067, 0.0872, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 29.0]), label=8.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 32.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 40.0]), label=7.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 40.0]), label=7.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 40.0]), label=7.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 40.0]), label=7.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=7.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 45.0]), label=12.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 30.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 41.0]), label=7.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 21.0]), label=12.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 25.0]), label=1.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 31.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 32.0]), label=8.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 32.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 37.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 38.0]), label=1.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 35.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 35.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 38.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 39.0]), label=12.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 40.0]), label=8.0, probability=DenseVector([0.2346, 0.2324, 0.0029, 0.001, 0.1081, 0.0, 0.0655, 0.1053, 0.0775, 0.0526, 0.0774, 0.0029, 0.0398, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 31.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 32.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 33.0]), label=4.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 37.0]), label=12.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 39.0]), label=12.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 46.0, 43.0]), label=8.0, probability=DenseVector([0.1726, 0.2468, 0.0096, 0.0035, 0.0798, 0.0, 0.1207, 0.0874, 0.0778, 0.0726, 0.0749, 0.0037, 0.0506, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 32.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 48.0, 32.0]), label=7.0, probability=DenseVector([0.3403, 0.0533, 0.0002, 0.0, 0.132, 0.0, 0.2584, 0.0611, 0.0372, 0.0232, 0.0561, 0.0011, 0.0371, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 31.0]), label=1.0, probability=DenseVector([0.2903, 0.044, 0.0002, 0.0, 0.1074, 0.0, 0.3826, 0.043, 0.0327, 0.0233, 0.0519, 0.0027, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 50.0, 34.0]), label=12.0, probability=DenseVector([0.2903, 0.044, 0.0002, 0.0, 0.1074, 0.0, 0.3826, 0.043, 0.0327, 0.0233, 0.0519, 0.0027, 0.0218, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 51.0, 34.0]), label=4.0, probability=DenseVector([0.2909, 0.0407, 0.0002, 0.0, 0.1, 0.0, 0.4051, 0.0401, 0.0314, 0.0199, 0.0494, 0.003, 0.0193, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 24.0, 38.0]), label=1.0, probability=DenseVector([0.2016, 0.5083, 0.0, 0.0001, 0.0906, 0.0, 0.0247, 0.0647, 0.0359, 0.0035, 0.0213, 0.0, 0.0492, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 25.0, 44.0]), label=12.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 25.0, 48.0]), label=12.0, probability=DenseVector([0.0544, 0.4683, 0.0029, 0.0522, 0.0122, 0.0006, 0.055, 0.0882, 0.0645, 0.0187, 0.0091, 0.0056, 0.1682, 0.0001]))
Row(prediction=1.0, features=DenseVector([16.0, 28.0, 37.0]), label=1.0, probability=DenseVector([0.2163, 0.471, 0.0, 0.0, 0.0979, 0.0, 0.0249, 0.0651, 0.0369, 0.0029, 0.0261, 0.0001, 0.0587, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 28.0, 47.0]), label=1.0, probability=DenseVector([0.0621, 0.457, 0.0008, 0.0128, 0.0148, 0.0009, 0.0817, 0.0913, 0.0824, 0.0201, 0.0117, 0.0031, 0.1613, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 28.0, 48.0]), label=1.0, probability=DenseVector([0.0556, 0.4234, 0.0029, 0.0541, 0.0128, 0.0006, 0.0698, 0.1019, 0.0766, 0.0187, 0.0091, 0.0064, 0.168, 0.0001]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 35.0]), label=10.0, probability=DenseVector([0.2538, 0.3518, 0.0, 0.0, 0.1431, 0.0, 0.019, 0.1071, 0.0555, 0.0029, 0.0255, 0.001, 0.0404, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 46.0]), label=1.0, probability=DenseVector([0.0877, 0.4743, 0.0009, 0.0121, 0.023, 0.0009, 0.0579, 0.0894, 0.0764, 0.0165, 0.0168, 0.0029, 0.1411, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 47.0]), label=8.0, probability=DenseVector([0.0621, 0.457, 0.0008, 0.0128, 0.0148, 0.0009, 0.0817, 0.0913, 0.0824, 0.0201, 0.0117, 0.0031, 0.1613, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 29.0, 47.0]), label=1.0, probability=DenseVector([0.0621, 0.457, 0.0008, 0.0128, 0.0148, 0.0009, 0.0817, 0.0913, 0.0824, 0.0201, 0.0117, 0.0031, 0.1613, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 30.0, 24.0]), label=8.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 30.0, 30.0]), label=1.0, probability=DenseVector([0.4431, 0.1221, 0.0, 0.0, 0.2616, 0.0, 0.0043, 0.064, 0.0431, 0.0018, 0.0422, 0.0001, 0.0178, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 30.0, 38.0]), label=10.0, probability=DenseVector([0.3764, 0.258, 0.0, 0.0, 0.1732, 0.0, 0.0082, 0.045, 0.0237, 0.0059, 0.0565, 0.0001, 0.053, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 30.0, 44.0]), label=1.0, probability=DenseVector([0.1116, 0.5221, 0.0009, 0.0095, 0.0275, 0.0009, 0.0387, 0.0731, 0.0525, 0.0145, 0.0208, 0.0024, 0.1255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 30.0, 46.0]), label=1.0, probability=DenseVector([0.0885, 0.4607, 0.0009, 0.0118, 0.023, 0.0009, 0.068, 0.0916, 0.0767, 0.0162, 0.0161, 0.005, 0.1406, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 37.0]), label=10.0, probability=DenseVector([0.4091, 0.2123, 0.0, 0.0, 0.1969, 0.0, 0.0068, 0.0481, 0.0237, 0.0058, 0.0596, 0.0001, 0.0377, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 31.0, 45.0]), label=1.0, probability=DenseVector([0.1091, 0.5023, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0702, 0.0534, 0.0143, 0.019, 0.0032, 0.153, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0563, 0.4098, 0.0029, 0.0538, 0.0128, 0.0006, 0.0799, 0.1041, 0.0769, 0.0184, 0.0084, 0.0084, 0.1675, 0.0001]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 32.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 32.0, 45.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 40.0]), label=1.0, probability=DenseVector([0.2207, 0.3892, 0.0001, 0.0035, 0.084, 0.0, 0.0261, 0.0841, 0.0584, 0.0122, 0.0344, 0.0021, 0.0853, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 41.0]), label=10.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 46.0]), label=1.0, probability=DenseVector([0.0944, 0.4725, 0.0012, 0.0123, 0.0263, 0.0009, 0.0533, 0.0976, 0.0679, 0.0219, 0.018, 0.0036, 0.13, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 33.0, 47.0]), label=1.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 51.0]), label=12.0, probability=DenseVector([0.0716, 0.4436, 0.0029, 0.0296, 0.0181, 0.0001, 0.0637, 0.1067, 0.0755, 0.0233, 0.0119, 0.0063, 0.1468, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0625, 0.4117, 0.0165, 0.0373, 0.0172, 0.0048, 0.0625, 0.1087, 0.0897, 0.0293, 0.0105, 0.0116, 0.1377, 0.0002]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 29.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 30.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 38.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 40.0]), label=7.0, probability=DenseVector([0.2309, 0.3694, 0.0003, 0.003, 0.0874, 0.0, 0.025, 0.0936, 0.0674, 0.0158, 0.0365, 0.0025, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 41.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 44.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0842, 0.4336, 0.0031, 0.029, 0.0222, 0.0001, 0.0583, 0.1124, 0.0806, 0.0286, 0.0154, 0.0065, 0.126, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0751, 0.4017, 0.0167, 0.0367, 0.0213, 0.0048, 0.0571, 0.1144, 0.0948, 0.0346, 0.014, 0.0117, 0.1169, 0.0002]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 40.0]), label=7.0, probability=DenseVector([0.2528, 0.3382, 0.0003, 0.0017, 0.1003, 0.0, 0.0215, 0.1022, 0.0733, 0.0168, 0.0438, 0.0024, 0.0467, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 44.0]), label=1.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 44.0]), label=12.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 45.0]), label=1.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 35.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 38.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 40.0]), label=10.0, probability=DenseVector([0.2552, 0.3353, 0.0003, 0.0013, 0.1011, 0.0, 0.021, 0.1047, 0.0752, 0.0183, 0.0444, 0.0023, 0.0408, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 41.0]), label=7.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 41.0]), label=12.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 44.0]), label=12.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.1075, 0.4273, 0.0015, 0.0103, 0.028, 0.0002, 0.0595, 0.1188, 0.091, 0.0371, 0.0202, 0.0049, 0.0937, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 43.0]), label=7.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 43.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 45.0]), label=1.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 46.0]), label=1.0, probability=DenseVector([0.1288, 0.4409, 0.0017, 0.0096, 0.0348, 0.0002, 0.0444, 0.1158, 0.0884, 0.0309, 0.0249, 0.0048, 0.0748, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 28.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 30.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 30.0]), label=12.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 36.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 40.0]), label=7.0, probability=DenseVector([0.2526, 0.3231, 0.0003, 0.0013, 0.0964, 0.0, 0.0217, 0.1126, 0.0797, 0.0191, 0.049, 0.0022, 0.0421, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 41.0]), label=0.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 42.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 39.0, 45.0]), label=7.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 28.0]), label=12.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 39.0]), label=7.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 40.0]), label=7.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 40.0]), label=8.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 46.0]), label=7.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 22.0]), label=1.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 30.0]), label=12.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 34.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 36.0]), label=10.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 38.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 40.0]), label=10.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 40.0]), label=7.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 40.0]), label=7.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=7.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=7.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 42.0]), label=12.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 47.0]), label=1.0, probability=DenseVector([0.1283, 0.3854, 0.0031, 0.0073, 0.0418, 0.0002, 0.0748, 0.1093, 0.0929, 0.0515, 0.025, 0.005, 0.0754, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 28.0]), label=8.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 40.0]), label=7.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=12.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 42.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 42.0, 43.0]), label=10.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 33.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 40.0]), label=7.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 42.0]), label=0.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 44.0]), label=1.0, probability=DenseVector([0.1394, 0.3371, 0.0194, 0.0113, 0.0492, 0.0002, 0.0719, 0.1146, 0.095, 0.053, 0.0427, 0.0063, 0.0594, 0.0003]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 27.0]), label=12.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 28.0]), label=12.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 33.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 33.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 34.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 41.0]), label=7.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 44.0, 42.0]), label=0.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 34.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 36.0]), label=10.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 46.0]), label=12.0, probability=DenseVector([0.1461, 0.286, 0.023, 0.0109, 0.0575, 0.0002, 0.0996, 0.1059, 0.0885, 0.0683, 0.0482, 0.0082, 0.0573, 0.0003]))
Row(prediction=1.0, features=DenseVector([16.0, 45.0, 46.0]), label=0.0, probability=DenseVector([0.1461, 0.286, 0.023, 0.0109, 0.0575, 0.0002, 0.0996, 0.1059, 0.0885, 0.0683, 0.0482, 0.0082, 0.0573, 0.0003]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 27.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 36.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 48.0, 35.0]), label=7.0, probability=DenseVector([0.3205, 0.0614, 0.0002, 0.0, 0.1466, 0.0, 0.2339, 0.0532, 0.0354, 0.0317, 0.0773, 0.0007, 0.039, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 49.0, 33.0]), label=8.0, probability=DenseVector([0.3154, 0.0577, 0.0002, 0.0, 0.1371, 0.0, 0.2657, 0.0527, 0.0364, 0.0279, 0.0688, 0.0014, 0.0365, 0.0]))
Row(prediction=6.0, features=DenseVector([16.0, 55.0, 40.0]), label=4.0, probability=DenseVector([0.2268, 0.0871, 0.0058, 0.0012, 0.1105, 0.0, 0.3416, 0.0335, 0.0447, 0.0366, 0.0727, 0.0026, 0.0369, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 23.0, 30.0]), label=1.0, probability=DenseVector([0.2126, 0.351, 0.0, 0.0, 0.1308, 0.0, 0.0226, 0.154, 0.0659, 0.003, 0.0204, 0.0007, 0.039, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 25.0, 44.0]), label=12.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 25.0, 48.0]), label=12.0, probability=DenseVector([0.0561, 0.4537, 0.0029, 0.0525, 0.0122, 0.0006, 0.0535, 0.096, 0.0711, 0.0184, 0.0084, 0.0056, 0.1689, 0.0001]))
Row(prediction=1.0, features=DenseVector([17.0, 26.0, 26.0]), label=7.0, probability=DenseVector([0.2049, 0.3338, 0.0, 0.0, 0.1152, 0.0, 0.0216, 0.1545, 0.1022, 0.0048, 0.0189, 0.0002, 0.0439, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 27.0, 47.0]), label=12.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 28.0, 46.0]), label=1.0, probability=DenseVector([0.0876, 0.4558, 0.0009, 0.0122, 0.023, 0.0009, 0.0558, 0.0939, 0.0943, 0.0162, 0.0161, 0.0035, 0.1397, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 45.0]), label=1.0, probability=DenseVector([0.1039, 0.4994, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0728, 0.0521, 0.0143, 0.019, 0.0032, 0.1598, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 46.0]), label=8.0, probability=DenseVector([0.0876, 0.4558, 0.0009, 0.0122, 0.023, 0.0009, 0.0558, 0.0939, 0.0943, 0.0162, 0.0161, 0.0035, 0.1397, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 47.0]), label=8.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 47.0]), label=8.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 47.0]), label=8.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 47.0]), label=12.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 29.0, 47.0]), label=1.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 30.0, 45.0]), label=1.0, probability=DenseVector([0.1091, 0.5023, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0702, 0.0534, 0.0143, 0.019, 0.0032, 0.153, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 30.0, 46.0]), label=8.0, probability=DenseVector([0.0876, 0.4558, 0.0009, 0.0122, 0.023, 0.0009, 0.0558, 0.0939, 0.0943, 0.0162, 0.0161, 0.0035, 0.1397, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 30.0, 46.0]), label=1.0, probability=DenseVector([0.0876, 0.4558, 0.0009, 0.0122, 0.023, 0.0009, 0.0558, 0.0939, 0.0943, 0.0162, 0.0161, 0.0035, 0.1397, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 30.0, 47.0]), label=8.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 31.0, 47.0]), label=8.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 31.0, 48.0]), label=1.0, probability=DenseVector([0.0573, 0.4088, 0.0029, 0.0544, 0.0128, 0.0006, 0.0682, 0.1098, 0.0831, 0.0184, 0.0084, 0.0064, 0.1687, 0.0001]))
Row(prediction=0.0, features=DenseVector([17.0, 32.0, 22.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 47.0]), label=1.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0663, 0.4361, 0.0031, 0.0511, 0.0169, 0.0006, 0.0615, 0.1024, 0.073, 0.0235, 0.0112, 0.0065, 0.1475, 0.0001]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 29.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 45.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 47.0]), label=1.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 33.0, 47.0]), label=1.0, probability=DenseVector([0.073, 0.4588, 0.001, 0.013, 0.0195, 0.0009, 0.0679, 0.101, 0.0722, 0.0257, 0.0126, 0.0038, 0.1505, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 34.0, 42.0]), label=12.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 34.0, 45.0]), label=1.0, probability=DenseVector([0.1176, 0.4947, 0.0009, 0.0106, 0.0308, 0.0002, 0.039, 0.0909, 0.0661, 0.0152, 0.0236, 0.0037, 0.1066, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 34.0, 47.0]), label=1.0, probability=DenseVector([0.0763, 0.4552, 0.001, 0.0138, 0.0195, 0.0002, 0.0655, 0.1058, 0.0746, 0.0235, 0.0128, 0.0049, 0.147, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 30.0]), label=12.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 31.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 34.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 37.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 42.0]), label=10.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 46.0]), label=7.0, probability=DenseVector([0.1103, 0.4588, 0.0013, 0.0126, 0.0304, 0.0002, 0.045, 0.1084, 0.0771, 0.0226, 0.021, 0.0049, 0.1073, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0842, 0.4336, 0.0031, 0.029, 0.0222, 0.0001, 0.0583, 0.1124, 0.0806, 0.0286, 0.0154, 0.0065, 0.126, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 38.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 39.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 43.0]), label=12.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 44.0]), label=7.0, probability=DenseVector([0.1371, 0.455, 0.0014, 0.0092, 0.0366, 0.0002, 0.0396, 0.1079, 0.0835, 0.0244, 0.0275, 0.0041, 0.0735, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 36.0, 48.0]), label=1.0, probability=DenseVector([0.1003, 0.4185, 0.0035, 0.0264, 0.0258, 0.0001, 0.0582, 0.1173, 0.09, 0.0354, 0.0187, 0.0064, 0.0994, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 37.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 37.0, 47.0]), label=12.0, probability=DenseVector([0.1075, 0.4273, 0.0015, 0.0103, 0.028, 0.0002, 0.0595, 0.1188, 0.091, 0.0371, 0.0202, 0.0049, 0.0937, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 44.0]), label=0.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 47.0]), label=10.0, probability=DenseVector([0.1075, 0.4273, 0.0015, 0.0103, 0.028, 0.0002, 0.0595, 0.1188, 0.091, 0.0371, 0.0202, 0.0049, 0.0937, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0937, 0.3838, 0.0171, 0.0338, 0.0256, 0.0048, 0.0564, 0.1218, 0.1061, 0.043, 0.0178, 0.0116, 0.0844, 0.0002]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 36.0]), label=1.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 29.0]), label=1.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 31.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 32.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 38.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 39.0]), label=10.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 41.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 40.0, 43.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 22.0]), label=12.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 33.0]), label=3.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 37.0]), label=1.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 40.0]), label=12.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 43.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 44.0]), label=0.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 45.0]), label=0.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 53.0]), label=1.0, probability=DenseVector([0.1066, 0.348, 0.0134, 0.0209, 0.0362, 0.0, 0.0645, 0.1172, 0.1047, 0.0616, 0.023, 0.021, 0.0829, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 29.0]), label=1.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 31.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 33.0]), label=12.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 34.0]), label=7.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 42.0, 36.0]), label=1.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 41.0]), label=12.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 41.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 42.0]), label=7.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 42.0]), label=7.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 43.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 44.0]), label=12.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 34.0]), label=12.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 35.0]), label=1.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 36.0]), label=1.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 36.0]), label=7.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 42.0]), label=7.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 43.0, 45.0]), label=7.0, probability=DenseVector([0.1394, 0.3371, 0.0194, 0.0113, 0.0492, 0.0002, 0.0719, 0.1146, 0.095, 0.053, 0.0427, 0.0063, 0.0594, 0.0003]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 33.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 37.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 39.0]), label=1.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=1.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 42.0]), label=1.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 29.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 40.0]), label=1.0, probability=DenseVector([0.2183, 0.2555, 0.006, 0.0012, 0.0973, 0.0, 0.0708, 0.1113, 0.0783, 0.0503, 0.0658, 0.0037, 0.0415, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 43.0]), label=1.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 28.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 29.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 29.0]), label=8.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 39.0]), label=10.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 45.0]), label=1.0, probability=DenseVector([0.1413, 0.2503, 0.0453, 0.015, 0.0599, 0.0002, 0.117, 0.0979, 0.0879, 0.0735, 0.0491, 0.0096, 0.0526, 0.0004]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 46.0]), label=12.0, probability=DenseVector([0.1413, 0.2503, 0.0453, 0.015, 0.0599, 0.0002, 0.117, 0.0979, 0.0879, 0.0735, 0.0491, 0.0096, 0.0526, 0.0004]))
Row(prediction=1.0, features=DenseVector([17.0, 46.0, 46.0]), label=0.0, probability=DenseVector([0.1413, 0.2503, 0.0453, 0.015, 0.0599, 0.0002, 0.117, 0.0979, 0.0879, 0.0735, 0.0491, 0.0096, 0.0526, 0.0004]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 31.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 38.0]), label=1.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 39.0]), label=12.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 40.0]), label=1.0, probability=DenseVector([0.2369, 0.189, 0.0086, 0.0017, 0.1131, 0.0, 0.1392, 0.0742, 0.069, 0.0514, 0.0691, 0.0027, 0.045, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 47.0, 43.0]), label=1.0, probability=DenseVector([0.1522, 0.1917, 0.0352, 0.0099, 0.0849, 0.0, 0.2194, 0.0585, 0.0647, 0.063, 0.0659, 0.0046, 0.0489, 0.0011]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 34.0]), label=1.0, probability=DenseVector([0.2958, 0.0638, 0.0005, 0.0, 0.1076, 0.0, 0.3246, 0.0492, 0.04, 0.0352, 0.0481, 0.0009, 0.0343, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 43.0]), label=12.0, probability=DenseVector([0.1571, 0.1563, 0.0335, 0.0095, 0.095, 0.0, 0.267, 0.0424, 0.0574, 0.0569, 0.0708, 0.0049, 0.0482, 0.0011]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 45.0]), label=0.0, probability=DenseVector([0.1468, 0.1492, 0.0461, 0.0134, 0.0945, 0.0002, 0.2405, 0.0458, 0.0699, 0.066, 0.0669, 0.0096, 0.0507, 0.0004]))
Row(prediction=6.0, features=DenseVector([17.0, 50.0, 35.0]), label=12.0, probability=DenseVector([0.2762, 0.0466, 0.0002, 0.0, 0.0961, 0.0, 0.4102, 0.0444, 0.0336, 0.0239, 0.0476, 0.0016, 0.0196, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 51.0, 43.0]), label=0.0, probability=DenseVector([0.1648, 0.13, 0.0323, 0.0091, 0.1073, 0.0, 0.2908, 0.0353, 0.0539, 0.0479, 0.0754, 0.0044, 0.0476, 0.0011]))
Row(prediction=1.0, features=DenseVector([18.0, 24.0, 45.0]), label=1.0, probability=DenseVector([0.0914, 0.5487, 0.0009, 0.0101, 0.0237, 0.0009, 0.0396, 0.0751, 0.0517, 0.0146, 0.0171, 0.0023, 0.1237, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 24.0, 52.0]), label=12.0, probability=DenseVector([0.0433, 0.4126, 0.0006, 0.0376, 0.0104, 0.0005, 0.0405, 0.0755, 0.0635, 0.0302, 0.0066, 0.0071, 0.2713, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 25.0, 44.0]), label=12.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 26.0, 44.0]), label=12.0, probability=DenseVector([0.09, 0.5656, 0.0009, 0.0096, 0.0244, 0.0009, 0.0427, 0.071, 0.0512, 0.0147, 0.0176, 0.0023, 0.109, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 26.0, 46.0]), label=12.0, probability=DenseVector([0.0843, 0.5246, 0.0009, 0.013, 0.0213, 0.0009, 0.0404, 0.0803, 0.0553, 0.0173, 0.0151, 0.0026, 0.144, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 26.0, 47.0]), label=12.0, probability=DenseVector([0.0616, 0.4773, 0.0008, 0.0152, 0.0139, 0.0009, 0.051, 0.092, 0.0859, 0.0197, 0.0098, 0.0031, 0.1689, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 46.0]), label=12.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 47.0]), label=8.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 28.0, 55.0]), label=12.0, probability=DenseVector([0.045, 0.3723, 0.0016, 0.0495, 0.0118, 0.0005, 0.0544, 0.1144, 0.0858, 0.0315, 0.0066, 0.0141, 0.2125, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 31.0]), label=1.0, probability=DenseVector([0.197, 0.3608, 0.0, 0.0, 0.1385, 0.0, 0.026, 0.1355, 0.0671, 0.0051, 0.0256, 0.0007, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 46.0]), label=8.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 46.0]), label=8.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 47.0]), label=8.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 47.0]), label=8.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 47.0]), label=8.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 30.0, 39.0]), label=1.0, probability=DenseVector([0.3304, 0.315, 0.0, 0.0, 0.1544, 0.0, 0.013, 0.0408, 0.0172, 0.0058, 0.0727, 0.0001, 0.0505, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 45.0]), label=1.0, probability=DenseVector([0.1057, 0.4933, 0.0009, 0.0104, 0.0253, 0.0009, 0.0382, 0.0767, 0.0721, 0.0143, 0.019, 0.0024, 0.1408, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 46.0]), label=8.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 46.0]), label=8.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 46.0]), label=8.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 47.0]), label=8.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 47.0]), label=8.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 47.0]), label=8.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 47.0]), label=8.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 47.0]), label=8.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 47.0]), label=1.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 51.0]), label=12.0, probability=DenseVector([0.0563, 0.3852, 0.0029, 0.0632, 0.0131, 0.0006, 0.0563, 0.1181, 0.09, 0.0197, 0.0088, 0.0104, 0.1753, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 46.0]), label=1.0, probability=DenseVector([0.0856, 0.4385, 0.0009, 0.0153, 0.0227, 0.0009, 0.0456, 0.0988, 0.1127, 0.0164, 0.016, 0.0036, 0.143, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 47.0]), label=12.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 47.0]), label=3.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.056, 0.3789, 0.0033, 0.0654, 0.0127, 0.0006, 0.0548, 0.1225, 0.0916, 0.0184, 0.0083, 0.0073, 0.1801, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0563, 0.3852, 0.0029, 0.0632, 0.0131, 0.0006, 0.0563, 0.1181, 0.09, 0.0197, 0.0088, 0.0104, 0.1753, 0.0001]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 30.0]), label=7.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 32.0, 47.0]), label=1.0, probability=DenseVector([0.0711, 0.4475, 0.001, 0.0157, 0.0188, 0.0009, 0.0581, 0.1073, 0.0832, 0.0249, 0.0126, 0.004, 0.1548, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 30.0]), label=1.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 38.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 44.0]), label=1.0, probability=DenseVector([0.1142, 0.4984, 0.001, 0.0098, 0.0309, 0.0009, 0.0414, 0.0862, 0.0636, 0.0174, 0.0234, 0.0027, 0.1102, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 46.0]), label=1.0, probability=DenseVector([0.0933, 0.4637, 0.0012, 0.0146, 0.026, 0.0009, 0.0483, 0.1008, 0.0727, 0.0225, 0.0179, 0.0037, 0.1345, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 47.0]), label=1.0, probability=DenseVector([0.0711, 0.4475, 0.001, 0.0157, 0.0188, 0.0009, 0.0581, 0.1073, 0.0832, 0.0249, 0.0126, 0.004, 0.1548, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 47.0]), label=1.0, probability=DenseVector([0.0711, 0.4475, 0.001, 0.0157, 0.0188, 0.0009, 0.0581, 0.1073, 0.0832, 0.0249, 0.0126, 0.004, 0.1548, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 19.0]), label=1.0, probability=DenseVector([0.4947, 0.0727, 0.0, 0.0, 0.2159, 0.0, 0.0132, 0.0649, 0.0514, 0.0091, 0.0642, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 36.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 37.0]), label=1.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 39.0]), label=2.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 46.0]), label=1.0, probability=DenseVector([0.0967, 0.46, 0.0011, 0.0154, 0.026, 0.0002, 0.0459, 0.1055, 0.0752, 0.0202, 0.0181, 0.0047, 0.131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 47.0]), label=1.0, probability=DenseVector([0.0745, 0.4438, 0.001, 0.0166, 0.0188, 0.0002, 0.0557, 0.1121, 0.0857, 0.0226, 0.0128, 0.005, 0.1513, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 55.0]), label=1.0, probability=DenseVector([0.0611, 0.4123, 0.0048, 0.0256, 0.0179, 0.0, 0.0569, 0.1099, 0.0919, 0.0366, 0.011, 0.0209, 0.151, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 31.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 37.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 43.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 47.0]), label=1.0, probability=DenseVector([0.0885, 0.4358, 0.0014, 0.0146, 0.0232, 0.0002, 0.0519, 0.1259, 0.0901, 0.0246, 0.0158, 0.0058, 0.1224, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 38.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 38.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 39.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 32.0]), label=8.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 44.0]), label=12.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 49.0]), label=1.0, probability=DenseVector([0.103, 0.3979, 0.0042, 0.0306, 0.0268, 0.0001, 0.0499, 0.1356, 0.0989, 0.0335, 0.0186, 0.0075, 0.0935, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 37.0, 50.0]), label=1.0, probability=DenseVector([0.1032, 0.4043, 0.0037, 0.0283, 0.0271, 0.0001, 0.0514, 0.1312, 0.0974, 0.0349, 0.0191, 0.0106, 0.0887, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 33.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 39.0]), label=12.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 30.0]), label=12.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 33.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 42.0]), label=10.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 40.0]), label=0.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 43.0]), label=7.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 43.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 46.0]), label=8.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.4592, 0.0712, 0.0, 0.0, 0.2111, 0.0, 0.0178, 0.0733, 0.0561, 0.0134, 0.079, 0.0, 0.0188, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 42.0]), label=0.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 42.0]), label=12.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 42.0]), label=1.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 45.0]), label=7.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 46.0]), label=8.0, probability=DenseVector([0.1297, 0.4306, 0.0026, 0.0069, 0.0358, 0.0002, 0.0485, 0.1154, 0.0909, 0.0367, 0.0261, 0.0043, 0.0723, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 41.0]), label=10.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 42.0]), label=12.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 42.0]), label=0.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 43.0]), label=1.0, probability=DenseVector([0.1457, 0.4382, 0.0023, 0.0024, 0.0448, 0.0, 0.0459, 0.1091, 0.0786, 0.0324, 0.0395, 0.0029, 0.0581, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 42.0, 49.0]), label=1.0, probability=DenseVector([0.1127, 0.3597, 0.0175, 0.0155, 0.037, 0.0002, 0.0683, 0.1175, 0.1013, 0.0547, 0.0259, 0.0093, 0.0801, 0.0003]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 42.0]), label=12.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 42.0]), label=0.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 43.0]), label=12.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 47.0]), label=0.0, probability=DenseVector([0.1373, 0.3085, 0.0199, 0.0147, 0.0489, 0.0002, 0.0823, 0.1164, 0.1039, 0.0654, 0.0345, 0.0068, 0.0609, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 27.0]), label=8.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 34.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 36.0]), label=4.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 39.0]), label=1.0, probability=DenseVector([0.3629, 0.1157, 0.0009, 0.0005, 0.1731, 0.0, 0.0573, 0.0886, 0.0715, 0.0249, 0.0754, 0.0007, 0.0285, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 42.0]), label=8.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 43.0]), label=0.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 45.0]), label=8.0, probability=DenseVector([0.1406, 0.2929, 0.0219, 0.0116, 0.0545, 0.0002, 0.0919, 0.1141, 0.0975, 0.0658, 0.0482, 0.0077, 0.0526, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 28.0]), label=8.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 33.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 38.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 44.0]), label=0.0, probability=DenseVector([0.1403, 0.284, 0.0233, 0.0118, 0.0555, 0.0002, 0.0961, 0.1149, 0.0967, 0.0682, 0.0468, 0.008, 0.0538, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 29.0]), label=8.0, probability=DenseVector([0.3091, 0.0673, 0.0, 0.0, 0.1261, 0.0, 0.0512, 0.1552, 0.2127, 0.0087, 0.0362, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 31.0]), label=1.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 43.0]), label=0.0, probability=DenseVector([0.1572, 0.278, 0.0126, 0.0038, 0.0682, 0.0, 0.1209, 0.0972, 0.0786, 0.0672, 0.0605, 0.0045, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 40.0]), label=1.0, probability=DenseVector([0.2351, 0.1933, 0.0091, 0.0017, 0.1121, 0.0, 0.1427, 0.0749, 0.0694, 0.0513, 0.063, 0.0024, 0.045, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 30.0]), label=12.0, probability=DenseVector([0.2612, 0.0494, 0.0007, 0.0001, 0.0886, 0.0, 0.4328, 0.0426, 0.0493, 0.0249, 0.0293, 0.0005, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 39.0]), label=8.0, probability=DenseVector([0.2284, 0.0819, 0.0013, 0.0003, 0.0877, 0.0, 0.3811, 0.0373, 0.0563, 0.0393, 0.0547, 0.0008, 0.031, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 48.0, 41.0]), label=1.0, probability=DenseVector([0.1663, 0.1638, 0.0273, 0.0057, 0.0904, 0.0, 0.2799, 0.0446, 0.0574, 0.0547, 0.0593, 0.0039, 0.0465, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 49.0, 38.0]), label=1.0, probability=DenseVector([0.228, 0.0696, 0.0008, 0.0001, 0.0715, 0.0, 0.4545, 0.0379, 0.0425, 0.0369, 0.0375, 0.0005, 0.0202, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 21.0, 49.0]), label=12.0, probability=DenseVector([0.0471, 0.4123, 0.0037, 0.0678, 0.0101, 0.0001, 0.0343, 0.0993, 0.0679, 0.0157, 0.0071, 0.0055, 0.229, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 23.0, 28.0]), label=1.0, probability=DenseVector([0.158, 0.3466, 0.0, 0.0, 0.146, 0.0, 0.0337, 0.1515, 0.0992, 0.0058, 0.0157, 0.0002, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 27.0, 46.0]), label=12.0, probability=DenseVector([0.084, 0.4313, 0.0014, 0.0163, 0.0228, 0.0009, 0.0464, 0.1013, 0.1147, 0.0168, 0.0153, 0.0036, 0.1452, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 28.0, 52.0]), label=12.0, probability=DenseVector([0.0396, 0.3489, 0.0009, 0.0768, 0.011, 0.0005, 0.0396, 0.1232, 0.0776, 0.0207, 0.0078, 0.0184, 0.2348, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 29.0, 46.0]), label=8.0, probability=DenseVector([0.084, 0.4313, 0.0014, 0.0163, 0.0228, 0.0009, 0.0464, 0.1013, 0.1147, 0.0168, 0.0153, 0.0036, 0.1452, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 29.0, 47.0]), label=8.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 29.0, 48.0]), label=3.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 42.0]), label=1.0, probability=DenseVector([0.11, 0.5149, 0.0014, 0.0105, 0.0276, 0.0009, 0.0395, 0.0756, 0.0544, 0.015, 0.0201, 0.0025, 0.1277, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 47.0]), label=8.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 47.0]), label=8.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 47.0]), label=12.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 48.0]), label=8.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 48.0]), label=3.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 49.0]), label=1.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0454, 0.334, 0.0036, 0.0986, 0.0107, 0.0006, 0.0416, 0.126, 0.0837, 0.0191, 0.0089, 0.013, 0.2147, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 31.0, 30.0]), label=1.0, probability=DenseVector([0.4231, 0.12, 0.0, 0.0, 0.2654, 0.0, 0.0093, 0.0624, 0.0421, 0.0017, 0.0581, 0.0, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 47.0]), label=12.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 45.0]), label=1.0, probability=DenseVector([0.1097, 0.4752, 0.0015, 0.0159, 0.0298, 0.0009, 0.0424, 0.0918, 0.067, 0.0179, 0.0219, 0.004, 0.1221, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 47.0]), label=12.0, probability=DenseVector([0.0636, 0.3773, 0.0018, 0.0462, 0.0168, 0.0009, 0.0461, 0.1181, 0.0897, 0.0213, 0.0102, 0.0075, 0.2006, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.0546, 0.3367, 0.0043, 0.0965, 0.0137, 0.0006, 0.0394, 0.1238, 0.087, 0.0191, 0.0083, 0.0104, 0.2056, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.0546, 0.3367, 0.0043, 0.0965, 0.0137, 0.0006, 0.0394, 0.1238, 0.087, 0.0191, 0.0083, 0.0104, 0.2056, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 49.0]), label=12.0, probability=DenseVector([0.0546, 0.3367, 0.0043, 0.0965, 0.0137, 0.0006, 0.0394, 0.1238, 0.087, 0.0191, 0.0083, 0.0104, 0.2056, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 50.0]), label=12.0, probability=DenseVector([0.0555, 0.3528, 0.0039, 0.0891, 0.014, 0.0006, 0.0438, 0.1185, 0.0843, 0.022, 0.0108, 0.015, 0.1894, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 33.0, 29.0]), label=10.0, probability=DenseVector([0.4803, 0.0721, 0.0001, 0.0, 0.2172, 0.0, 0.0157, 0.0638, 0.0504, 0.0092, 0.0772, 0.0, 0.014, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 33.0, 32.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 33.0, 33.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 33.0, 37.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 33.0, 48.0]), label=12.0, probability=DenseVector([0.0546, 0.3367, 0.0043, 0.0965, 0.0137, 0.0006, 0.0394, 0.1238, 0.087, 0.0191, 0.0083, 0.0104, 0.2056, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 33.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 34.0]), label=7.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 48.0]), label=12.0, probability=DenseVector([0.0599, 0.3442, 0.0041, 0.0749, 0.0149, 0.0001, 0.0416, 0.128, 0.0895, 0.0188, 0.0089, 0.0102, 0.2048, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 38.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 45.0]), label=12.0, probability=DenseVector([0.1261, 0.4677, 0.0016, 0.0112, 0.0343, 0.0002, 0.0388, 0.103, 0.077, 0.0192, 0.025, 0.0041, 0.0918, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 47.0]), label=12.0, probability=DenseVector([0.0845, 0.3921, 0.0021, 0.0348, 0.0225, 0.0002, 0.044, 0.1326, 0.0957, 0.0214, 0.0142, 0.0074, 0.1484, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 48.0]), label=12.0, probability=DenseVector([0.0774, 0.3626, 0.0045, 0.0627, 0.0206, 0.0001, 0.0418, 0.1378, 0.0931, 0.0212, 0.0127, 0.0092, 0.1562, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 48.0]), label=12.0, probability=DenseVector([0.0774, 0.3626, 0.0045, 0.0627, 0.0206, 0.0001, 0.0418, 0.1378, 0.0931, 0.0212, 0.0127, 0.0092, 0.1562, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 38.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 38.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 36.0, 49.0]), label=1.0, probability=DenseVector([0.099, 0.3661, 0.0055, 0.049, 0.0257, 0.0001, 0.0462, 0.1471, 0.1035, 0.0307, 0.0161, 0.0084, 0.1026, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 32.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 39.0]), label=12.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 40.0]), label=10.0, probability=DenseVector([0.2409, 0.3347, 0.0004, 0.0013, 0.1023, 0.0, 0.0235, 0.1035, 0.0742, 0.0184, 0.0574, 0.0023, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 42.0]), label=12.0, probability=DenseVector([0.1403, 0.4519, 0.0018, 0.0097, 0.0378, 0.0002, 0.0368, 0.1125, 0.0849, 0.0246, 0.0275, 0.0039, 0.0683, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 37.0]), label=7.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 38.0, 38.0]), label=10.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.1086, 0.3928, 0.0031, 0.0208, 0.0284, 0.0002, 0.0479, 0.1443, 0.108, 0.0324, 0.0182, 0.0065, 0.0889, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 48.0]), label=7.0, probability=DenseVector([0.1015, 0.3633, 0.0055, 0.0486, 0.0265, 0.0001, 0.0457, 0.1495, 0.1054, 0.0322, 0.0167, 0.0083, 0.0967, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 48.0]), label=7.0, probability=DenseVector([0.1015, 0.3633, 0.0055, 0.0486, 0.0265, 0.0001, 0.0457, 0.1495, 0.1054, 0.0322, 0.0167, 0.0083, 0.0967, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 28.0]), label=1.0, probability=DenseVector([0.4771, 0.0703, 0.0001, 0.0, 0.2156, 0.0, 0.016, 0.066, 0.0522, 0.0094, 0.0789, 0.0, 0.0143, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 40.0]), label=10.0, probability=DenseVector([0.22, 0.3308, 0.0004, 0.0013, 0.0898, 0.0, 0.0259, 0.1183, 0.0827, 0.0206, 0.0644, 0.0022, 0.0437, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.1453, 0.4564, 0.0016, 0.0059, 0.0404, 0.0002, 0.0354, 0.1105, 0.0808, 0.026, 0.0325, 0.0027, 0.0624, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 45.0]), label=8.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 46.0]), label=7.0, probability=DenseVector([0.1281, 0.4234, 0.0031, 0.0079, 0.0359, 0.0002, 0.0494, 0.118, 0.0928, 0.0371, 0.0253, 0.0044, 0.0745, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 47.0]), label=1.0, probability=DenseVector([0.1143, 0.3813, 0.0045, 0.0174, 0.0305, 0.0002, 0.0555, 0.1318, 0.1075, 0.0446, 0.0202, 0.0062, 0.0861, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 49.0]), label=0.0, probability=DenseVector([0.1072, 0.3519, 0.0068, 0.0452, 0.0286, 0.0001, 0.0534, 0.137, 0.1049, 0.0443, 0.0187, 0.008, 0.0939, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 61.0]), label=1.0, probability=DenseVector([0.1037, 0.3564, 0.0104, 0.0282, 0.0303, 0.0025, 0.0563, 0.1142, 0.1058, 0.0621, 0.0213, 0.019, 0.0896, 0.0001]))
Row(prediction=0.0, features=DenseVector([19.0, 41.0, 33.0]), label=12.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 46.0]), label=0.0, probability=DenseVector([0.1281, 0.4234, 0.0031, 0.0079, 0.0359, 0.0002, 0.0494, 0.118, 0.0928, 0.0371, 0.0253, 0.0044, 0.0745, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.1258, 0.3702, 0.0045, 0.0183, 0.0337, 0.0002, 0.0597, 0.1271, 0.103, 0.0509, 0.0209, 0.0061, 0.0795, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 49.0]), label=0.0, probability=DenseVector([0.1072, 0.3519, 0.0068, 0.0452, 0.0286, 0.0001, 0.0534, 0.137, 0.1049, 0.0443, 0.0187, 0.008, 0.0939, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 34.0]), label=1.0, probability=DenseVector([0.4271, 0.0689, 0.0001, 0.0, 0.2123, 0.0, 0.0262, 0.0713, 0.0591, 0.0151, 0.0975, 0.0, 0.0224, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 36.0]), label=12.0, probability=DenseVector([0.4271, 0.0689, 0.0001, 0.0, 0.2123, 0.0, 0.0262, 0.0713, 0.0591, 0.0151, 0.0975, 0.0, 0.0224, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 43.0]), label=8.0, probability=DenseVector([0.1441, 0.431, 0.0028, 0.0034, 0.0449, 0.0, 0.0468, 0.1117, 0.0806, 0.0328, 0.0387, 0.0029, 0.0603, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 44.0]), label=8.0, probability=DenseVector([0.1317, 0.4006, 0.0169, 0.0104, 0.0405, 0.0002, 0.0516, 0.1137, 0.094, 0.0387, 0.0312, 0.0056, 0.0646, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 45.0]), label=12.0, probability=DenseVector([0.1317, 0.4006, 0.0169, 0.0104, 0.0405, 0.0002, 0.0516, 0.1137, 0.094, 0.0387, 0.0312, 0.0056, 0.0646, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 45.0]), label=8.0, probability=DenseVector([0.1317, 0.4006, 0.0169, 0.0104, 0.0405, 0.0002, 0.0516, 0.1137, 0.094, 0.0387, 0.0312, 0.0056, 0.0646, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 45.0]), label=8.0, probability=DenseVector([0.1317, 0.4006, 0.0169, 0.0104, 0.0405, 0.0002, 0.0516, 0.1137, 0.094, 0.0387, 0.0312, 0.0056, 0.0646, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 45.0]), label=8.0, probability=DenseVector([0.1317, 0.4006, 0.0169, 0.0104, 0.0405, 0.0002, 0.0516, 0.1137, 0.094, 0.0387, 0.0312, 0.0056, 0.0646, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 45.0]), label=8.0, probability=DenseVector([0.1317, 0.4006, 0.0169, 0.0104, 0.0405, 0.0002, 0.0516, 0.1137, 0.094, 0.0387, 0.0312, 0.0056, 0.0646, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 45.0]), label=8.0, probability=DenseVector([0.1317, 0.4006, 0.0169, 0.0104, 0.0405, 0.0002, 0.0516, 0.1137, 0.094, 0.0387, 0.0312, 0.0056, 0.0646, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 45.0]), label=8.0, probability=DenseVector([0.1317, 0.4006, 0.0169, 0.0104, 0.0405, 0.0002, 0.0516, 0.1137, 0.094, 0.0387, 0.0312, 0.0056, 0.0646, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 46.0]), label=1.0, probability=DenseVector([0.1263, 0.3966, 0.0171, 0.0111, 0.0394, 0.0002, 0.054, 0.1156, 0.0948, 0.0404, 0.0292, 0.006, 0.0691, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 47.0]), label=1.0, probability=DenseVector([0.1241, 0.3435, 0.0185, 0.0214, 0.0372, 0.0002, 0.0643, 0.1247, 0.105, 0.0542, 0.0248, 0.0077, 0.0741, 0.0003]))
Row(prediction=0.0, features=DenseVector([19.0, 43.0, 37.0]), label=12.0, probability=DenseVector([0.4084, 0.0701, 0.0001, 0.0, 0.2094, 0.0, 0.0313, 0.0744, 0.0656, 0.0166, 0.0991, 0.0, 0.0251, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 41.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 43.0]), label=1.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 44.0]), label=2.0, probability=DenseVector([0.1336, 0.3352, 0.0197, 0.0122, 0.0473, 0.0002, 0.0685, 0.1236, 0.1033, 0.0529, 0.0413, 0.0061, 0.0559, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 44.0]), label=8.0, probability=DenseVector([0.1336, 0.3352, 0.0197, 0.0122, 0.0473, 0.0002, 0.0685, 0.1236, 0.1033, 0.0529, 0.0413, 0.0061, 0.0559, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 44.0]), label=8.0, probability=DenseVector([0.1336, 0.3352, 0.0197, 0.0122, 0.0473, 0.0002, 0.0685, 0.1236, 0.1033, 0.0529, 0.0413, 0.0061, 0.0559, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 44.0]), label=8.0, probability=DenseVector([0.1336, 0.3352, 0.0197, 0.0122, 0.0473, 0.0002, 0.0685, 0.1236, 0.1033, 0.0529, 0.0413, 0.0061, 0.0559, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 44.0]), label=0.0, probability=DenseVector([0.1336, 0.3352, 0.0197, 0.0122, 0.0473, 0.0002, 0.0685, 0.1236, 0.1033, 0.0529, 0.0413, 0.0061, 0.0559, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 48.0]), label=1.0, probability=DenseVector([0.1212, 0.3155, 0.021, 0.0181, 0.041, 0.0002, 0.0721, 0.1321, 0.1106, 0.0571, 0.0325, 0.008, 0.0704, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 43.0, 49.0]), label=0.0, probability=DenseVector([0.1212, 0.3155, 0.021, 0.0181, 0.041, 0.0002, 0.0721, 0.1321, 0.1106, 0.0571, 0.0325, 0.008, 0.0704, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.1612, 0.3153, 0.0119, 0.0054, 0.0609, 0.0, 0.089, 0.114, 0.0799, 0.0538, 0.0567, 0.0044, 0.0476, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 44.0]), label=10.0, probability=DenseVector([0.1496, 0.2783, 0.0264, 0.0139, 0.0524, 0.0002, 0.0883, 0.1271, 0.1021, 0.0621, 0.0424, 0.0073, 0.0496, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 51.0]), label=0.0, probability=DenseVector([0.1328, 0.2705, 0.0266, 0.0179, 0.0451, 0.0002, 0.0935, 0.125, 0.1033, 0.0677, 0.0361, 0.0133, 0.0677, 0.0003]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 38.0]), label=10.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 39.0]), label=1.0, probability=DenseVector([0.3485, 0.1151, 0.001, 0.0005, 0.1744, 0.0, 0.0598, 0.0874, 0.0705, 0.025, 0.0884, 0.0007, 0.0288, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 44.0]), label=4.0, probability=DenseVector([0.1493, 0.2695, 0.0278, 0.014, 0.0534, 0.0002, 0.0925, 0.1279, 0.1014, 0.0645, 0.041, 0.0075, 0.0508, 0.0003]))
Row(prediction=0.0, features=DenseVector([19.0, 46.0, 35.0]), label=1.0, probability=DenseVector([0.3914, 0.0751, 0.0001, 0.0, 0.1968, 0.0, 0.0523, 0.0784, 0.0717, 0.0184, 0.0885, 0.0, 0.0273, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 43.0]), label=1.0, probability=DenseVector([0.1673, 0.2667, 0.0159, 0.0056, 0.0674, 0.0, 0.1211, 0.1037, 0.08, 0.0631, 0.0558, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 48.0]), label=0.0, probability=DenseVector([0.1404, 0.2059, 0.0505, 0.0229, 0.0579, 0.0002, 0.1199, 0.1239, 0.1073, 0.0677, 0.0387, 0.0102, 0.0541, 0.0004]))
Row(prediction=0.0, features=DenseVector([19.0, 47.0, 40.0]), label=1.0, probability=DenseVector([0.2207, 0.1926, 0.0092, 0.0017, 0.1133, 0.0, 0.1452, 0.0737, 0.0684, 0.0514, 0.076, 0.0024, 0.0453, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 47.0, 44.0]), label=12.0, probability=DenseVector([0.1386, 0.1826, 0.0491, 0.015, 0.0752, 0.0002, 0.1941, 0.0797, 0.0855, 0.0699, 0.0533, 0.008, 0.0486, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 32.0]), label=1.0, probability=DenseVector([0.245, 0.0487, 0.0019, 0.0017, 0.0829, 0.0, 0.4608, 0.0392, 0.047, 0.0255, 0.0284, 0.001, 0.018, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 41.0]), label=1.0, probability=DenseVector([0.1663, 0.1638, 0.0273, 0.0057, 0.0904, 0.0, 0.2799, 0.0446, 0.0574, 0.0547, 0.0593, 0.0039, 0.0465, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 42.0]), label=1.0, probability=DenseVector([0.1613, 0.1582, 0.0274, 0.0059, 0.0913, 0.0, 0.2854, 0.0453, 0.0574, 0.0567, 0.0608, 0.0043, 0.0459, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.1476, 0.1481, 0.0481, 0.0139, 0.0875, 0.0002, 0.2496, 0.0547, 0.0731, 0.0657, 0.0555, 0.0084, 0.0471, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 35.0]), label=10.0, probability=DenseVector([0.2193, 0.0687, 0.0019, 0.0017, 0.0696, 0.0, 0.4637, 0.0364, 0.0426, 0.0379, 0.0367, 0.001, 0.0205, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 37.0]), label=1.0, probability=DenseVector([0.217, 0.05, 0.0017, 0.0017, 0.074, 0.0, 0.5, 0.0354, 0.0358, 0.0281, 0.0408, 0.0017, 0.0138, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 24.0, 50.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 25.0, 44.0]), label=12.0, probability=DenseVector([0.0343, 0.2883, 0.0118, 0.32, 0.0132, 0.0203, 0.0743, 0.0549, 0.0525, 0.0243, 0.005, 0.0132, 0.0874, 0.0004]))
Row(prediction=3.0, features=DenseVector([20.0, 26.0, 45.0]), label=1.0, probability=DenseVector([0.0343, 0.2883, 0.0118, 0.32, 0.0132, 0.0203, 0.0743, 0.0549, 0.0525, 0.0243, 0.005, 0.0132, 0.0874, 0.0004]))
Row(prediction=3.0, features=DenseVector([20.0, 27.0, 51.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 28.0, 44.0]), label=1.0, probability=DenseVector([0.0418, 0.274, 0.0256, 0.2829, 0.0165, 0.0121, 0.078, 0.0638, 0.0644, 0.0294, 0.0071, 0.0154, 0.0887, 0.0004]))
Row(prediction=3.0, features=DenseVector([20.0, 28.0, 47.0]), label=3.0, probability=DenseVector([0.0335, 0.2383, 0.0272, 0.3446, 0.0114, 0.0107, 0.0494, 0.0705, 0.0703, 0.0303, 0.0051, 0.0178, 0.0905, 0.0005]))
Row(prediction=3.0, features=DenseVector([20.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 48.0]), label=3.0, probability=DenseVector([0.0154, 0.2019, 0.0203, 0.4385, 0.0034, 0.015, 0.0279, 0.0725, 0.0664, 0.0248, 0.0012, 0.0218, 0.09, 0.0007]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=1.0, features=DenseVector([20.0, 30.0, 43.0]), label=1.0, probability=DenseVector([0.0496, 0.2676, 0.0374, 0.2367, 0.0203, 0.0107, 0.0906, 0.068, 0.0707, 0.0312, 0.0144, 0.016, 0.0858, 0.0007]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 47.0]), label=3.0, probability=DenseVector([0.0356, 0.2302, 0.0395, 0.324, 0.0124, 0.0096, 0.0508, 0.075, 0.0769, 0.0323, 0.0056, 0.019, 0.0881, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 47.0]), label=3.0, probability=DenseVector([0.0356, 0.2302, 0.0395, 0.324, 0.0124, 0.0096, 0.0508, 0.075, 0.0769, 0.0323, 0.0056, 0.019, 0.0881, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 49.0]), label=8.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=1.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=12.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=10.0, features=DenseVector([20.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 33.0, 38.0]), label=10.0, probability=DenseVector([0.1454, 0.0514, 0.0025, 0.002, 0.1922, 0.0, 0.138, 0.0261, 0.015, 0.0143, 0.3935, 0.0006, 0.0188, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 33.0, 38.0]), label=10.0, probability=DenseVector([0.1454, 0.0514, 0.0025, 0.002, 0.1922, 0.0, 0.138, 0.0261, 0.015, 0.0143, 0.3935, 0.0006, 0.0188, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=1.0, features=DenseVector([20.0, 34.0, 45.0]), label=12.0, probability=DenseVector([0.0575, 0.2342, 0.0732, 0.1863, 0.0199, 0.0155, 0.0692, 0.1002, 0.1054, 0.0327, 0.0098, 0.0247, 0.0701, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 47.0]), label=7.0, probability=DenseVector([0.0499, 0.2064, 0.0743, 0.2322, 0.0158, 0.0148, 0.051, 0.1052, 0.1093, 0.033, 0.0079, 0.0264, 0.0727, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 47.0]), label=3.0, probability=DenseVector([0.0499, 0.2064, 0.0743, 0.2322, 0.0158, 0.0148, 0.051, 0.1052, 0.1093, 0.033, 0.0079, 0.0264, 0.0727, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 48.0]), label=1.0, probability=DenseVector([0.0338, 0.1811, 0.0673, 0.3038, 0.009, 0.0192, 0.0341, 0.1067, 0.1054, 0.0295, 0.0045, 0.0292, 0.0751, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 49.0]), label=12.0, probability=DenseVector([0.0324, 0.182, 0.0604, 0.3159, 0.0082, 0.0199, 0.0314, 0.1064, 0.1048, 0.0286, 0.0041, 0.0297, 0.075, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 32.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 35.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 35.0, 46.0]), label=12.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 35.0, 47.0]), label=12.0, probability=DenseVector([0.0574, 0.2006, 0.0905, 0.1703, 0.0184, 0.014, 0.0575, 0.1181, 0.1243, 0.0367, 0.0091, 0.0314, 0.0704, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 48.0]), label=12.0, probability=DenseVector([0.0428, 0.1737, 0.0892, 0.223, 0.0121, 0.0185, 0.0413, 0.1237, 0.1264, 0.0342, 0.006, 0.0364, 0.0713, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 48.0]), label=12.0, probability=DenseVector([0.0428, 0.1737, 0.0892, 0.223, 0.0121, 0.0185, 0.0413, 0.1237, 0.1264, 0.0342, 0.006, 0.0364, 0.0713, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 48.0]), label=7.0, probability=DenseVector([0.0428, 0.1737, 0.0892, 0.223, 0.0121, 0.0185, 0.0413, 0.1237, 0.1264, 0.0342, 0.006, 0.0364, 0.0713, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 49.0]), label=7.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 49.0]), label=7.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 49.0]), label=7.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 49.0]), label=7.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 31.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 36.0, 38.0]), label=4.0, probability=DenseVector([0.1454, 0.0514, 0.0025, 0.002, 0.1922, 0.0, 0.138, 0.0261, 0.015, 0.0143, 0.3935, 0.0006, 0.0188, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 48.0]), label=3.0, probability=DenseVector([0.0428, 0.1737, 0.0892, 0.223, 0.0121, 0.0185, 0.0413, 0.1237, 0.1264, 0.0342, 0.006, 0.0364, 0.0713, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 48.0]), label=7.0, probability=DenseVector([0.0428, 0.1737, 0.0892, 0.223, 0.0121, 0.0185, 0.0413, 0.1237, 0.1264, 0.0342, 0.006, 0.0364, 0.0713, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 48.0]), label=7.0, probability=DenseVector([0.0428, 0.1737, 0.0892, 0.223, 0.0121, 0.0185, 0.0413, 0.1237, 0.1264, 0.0342, 0.006, 0.0364, 0.0713, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 48.0]), label=7.0, probability=DenseVector([0.0428, 0.1737, 0.0892, 0.223, 0.0121, 0.0185, 0.0413, 0.1237, 0.1264, 0.0342, 0.006, 0.0364, 0.0713, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 36.0, 50.0]), label=1.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 31.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 37.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 48.0]), label=3.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 48.0]), label=7.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 49.0]), label=1.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 49.0]), label=1.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 37.0, 49.0]), label=1.0, probability=DenseVector([0.044, 0.1701, 0.093, 0.2201, 0.0127, 0.0182, 0.0391, 0.1257, 0.1269, 0.0351, 0.0064, 0.0386, 0.069, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 38.0, 50.0]), label=12.0, probability=DenseVector([0.0427, 0.1688, 0.0895, 0.2209, 0.012, 0.03, 0.0379, 0.123, 0.128, 0.0328, 0.0066, 0.0374, 0.0685, 0.0019]))
Row(prediction=6.0, features=DenseVector([20.0, 39.0, 27.0]), label=12.0, probability=DenseVector([0.1115, 0.0639, 0.0014, 0.0012, 0.1454, 0.0, 0.2992, 0.0295, 0.0228, 0.017, 0.2772, 0.0005, 0.0304, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 39.0, 43.0]), label=0.0, probability=DenseVector([0.0678, 0.2211, 0.0821, 0.1523, 0.0224, 0.0115, 0.0685, 0.1099, 0.1165, 0.0357, 0.0172, 0.0294, 0.0647, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 39.0, 48.0]), label=7.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 39.0, 48.0]), label=7.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 40.0, 41.0]), label=10.0, probability=DenseVector([0.1398, 0.2045, 0.0171, 0.0087, 0.0856, 0.0002, 0.1946, 0.0462, 0.034, 0.037, 0.1814, 0.0034, 0.0476, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 40.0, 45.0]), label=0.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 40.0, 46.0]), label=1.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0524, 0.1515, 0.1344, 0.1635, 0.0146, 0.0084, 0.0505, 0.1118, 0.1398, 0.0461, 0.0083, 0.0378, 0.0795, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 40.0, 48.0]), label=0.0, probability=DenseVector([0.0524, 0.1515, 0.1344, 0.1635, 0.0146, 0.0084, 0.0505, 0.1118, 0.1398, 0.0461, 0.0083, 0.0378, 0.0795, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0511, 0.1524, 0.1274, 0.1757, 0.0137, 0.0091, 0.0479, 0.1115, 0.1392, 0.0453, 0.0079, 0.0383, 0.0793, 0.0012]))
Row(prediction=10.0, features=DenseVector([20.0, 41.0, 40.0]), label=10.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 41.0]), label=0.0, probability=DenseVector([0.1398, 0.2045, 0.0171, 0.0087, 0.0856, 0.0002, 0.1946, 0.0462, 0.034, 0.037, 0.1814, 0.0034, 0.0476, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 43.0]), label=8.0, probability=DenseVector([0.0798, 0.2001, 0.1219, 0.0943, 0.0304, 0.006, 0.0946, 0.0934, 0.1163, 0.046, 0.0233, 0.0278, 0.0649, 0.0012]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 44.0]), label=1.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 44.0]), label=0.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 45.0]), label=7.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 45.0]), label=0.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 46.0]), label=1.0, probability=DenseVector([0.0712, 0.1874, 0.1359, 0.1136, 0.0215, 0.0085, 0.0613, 0.1011, 0.1341, 0.0485, 0.0129, 0.0329, 0.0697, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0649, 0.1732, 0.1362, 0.121, 0.02, 0.0085, 0.0615, 0.106, 0.1367, 0.0489, 0.0113, 0.0335, 0.0771, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 41.0, 48.0]), label=1.0, probability=DenseVector([0.0524, 0.1515, 0.1344, 0.1635, 0.0146, 0.0084, 0.0505, 0.1118, 0.1398, 0.0461, 0.0083, 0.0378, 0.0795, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 41.0, 48.0]), label=12.0, probability=DenseVector([0.0524, 0.1515, 0.1344, 0.1635, 0.0146, 0.0084, 0.0505, 0.1118, 0.1398, 0.0461, 0.0083, 0.0378, 0.0795, 0.0014]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 45.0]), label=8.0, probability=DenseVector([0.0664, 0.169, 0.1576, 0.1134, 0.0217, 0.0084, 0.0636, 0.0976, 0.1368, 0.0524, 0.013, 0.0334, 0.065, 0.0017]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 45.0]), label=0.0, probability=DenseVector([0.0664, 0.169, 0.1576, 0.1134, 0.0217, 0.0084, 0.0636, 0.0976, 0.1368, 0.0524, 0.013, 0.0334, 0.065, 0.0017]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 46.0]), label=2.0, probability=DenseVector([0.0664, 0.169, 0.1576, 0.1134, 0.0217, 0.0084, 0.0636, 0.0976, 0.1368, 0.0524, 0.013, 0.0334, 0.065, 0.0017]))
Row(prediction=1.0, features=DenseVector([20.0, 42.0, 46.0]), label=1.0, probability=DenseVector([0.0664, 0.169, 0.1576, 0.1134, 0.0217, 0.0084, 0.0636, 0.0976, 0.1368, 0.0524, 0.013, 0.0334, 0.065, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0602, 0.1548, 0.1578, 0.1208, 0.0201, 0.0084, 0.0637, 0.1025, 0.1394, 0.0527, 0.0114, 0.0339, 0.0724, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0602, 0.1548, 0.1578, 0.1208, 0.0201, 0.0084, 0.0637, 0.1025, 0.1394, 0.0527, 0.0114, 0.0339, 0.0724, 0.0017]))
Row(prediction=1.0, features=DenseVector([20.0, 43.0, 43.0]), label=1.0, probability=DenseVector([0.0903, 0.1574, 0.1392, 0.0868, 0.0396, 0.0058, 0.1133, 0.0883, 0.1157, 0.0566, 0.0306, 0.0262, 0.0491, 0.0012]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 44.0]), label=8.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 44.0]), label=8.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 44.0]), label=0.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 45.0]), label=8.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 46.0]), label=8.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.0621, 0.1492, 0.1539, 0.1421, 0.0224, 0.0092, 0.0623, 0.0993, 0.1395, 0.0543, 0.015, 0.0367, 0.0525, 0.0015]))
Row(prediction=10.0, features=DenseVector([20.0, 44.0, 37.0]), label=10.0, probability=DenseVector([0.203, 0.0577, 0.0086, 0.0043, 0.1489, 0.0, 0.2362, 0.0248, 0.0306, 0.0227, 0.2404, 0.0013, 0.0212, 0.0002]))
Row(prediction=1.0, features=DenseVector([20.0, 44.0, 43.0]), label=0.0, probability=DenseVector([0.0903, 0.1574, 0.1392, 0.0868, 0.0396, 0.0058, 0.1133, 0.0883, 0.1157, 0.0566, 0.0306, 0.0262, 0.0491, 0.0012]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 46.0]), label=8.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 38.0]), label=7.0, probability=DenseVector([0.2036, 0.0661, 0.0102, 0.0049, 0.1386, 0.0, 0.2483, 0.0254, 0.0306, 0.0251, 0.2237, 0.0014, 0.022, 0.0002]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 42.0]), label=1.0, probability=DenseVector([0.1089, 0.1556, 0.1035, 0.0586, 0.0498, 0.0026, 0.1861, 0.0762, 0.0915, 0.0558, 0.0462, 0.0187, 0.0459, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 42.0]), label=0.0, probability=DenseVector([0.1089, 0.1556, 0.1035, 0.0586, 0.0498, 0.0026, 0.1861, 0.0762, 0.0915, 0.0558, 0.0462, 0.0187, 0.0459, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 42.0]), label=0.0, probability=DenseVector([0.1089, 0.1556, 0.1035, 0.0586, 0.0498, 0.0026, 0.1861, 0.0762, 0.0915, 0.0558, 0.0462, 0.0187, 0.0459, 0.0006]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 46.0]), label=8.0, probability=DenseVector([0.0659, 0.1454, 0.1844, 0.1025, 0.0265, 0.0036, 0.0769, 0.0942, 0.1359, 0.0587, 0.0173, 0.0323, 0.052, 0.0044]))
Row(prediction=2.0, features=DenseVector([20.0, 45.0, 51.0]), label=11.0, probability=DenseVector([0.0598, 0.1457, 0.1738, 0.1326, 0.0227, 0.0043, 0.066, 0.0959, 0.1377, 0.056, 0.0152, 0.0357, 0.0502, 0.0042]))
Row(prediction=1.0, features=DenseVector([20.0, 45.0, 55.0]), label=1.0, probability=DenseVector([0.0563, 0.158, 0.1477, 0.1326, 0.0223, 0.0123, 0.0536, 0.0886, 0.1435, 0.0759, 0.0121, 0.0422, 0.0505, 0.0045]))
Row(prediction=6.0, features=DenseVector([20.0, 46.0, 40.0]), label=1.0, probability=DenseVector([0.1795, 0.1207, 0.0253, 0.0105, 0.0858, 0.0, 0.3032, 0.027, 0.0324, 0.0446, 0.136, 0.0035, 0.0311, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 37.0]), label=10.0, probability=DenseVector([0.1938, 0.0638, 0.017, 0.0144, 0.0948, 0.0, 0.3721, 0.0225, 0.0405, 0.0398, 0.1152, 0.0039, 0.0221, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 41.0]), label=8.0, probability=DenseVector([0.128, 0.1095, 0.0524, 0.0212, 0.0621, 0.0, 0.3814, 0.0281, 0.0427, 0.0538, 0.0832, 0.0058, 0.0311, 0.0005]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 34.0]), label=1.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 40.0]), label=7.0, probability=DenseVector([0.0905, 0.0537, 0.0421, 0.0304, 0.0324, 0.0, 0.5901, 0.0258, 0.0485, 0.0441, 0.0191, 0.0072, 0.0156, 0.0004]))
Row(prediction=2.0, features=DenseVector([20.0, 49.0, 43.0]), label=1.0, probability=DenseVector([0.0638, 0.1135, 0.2053, 0.0783, 0.0365, 0.0013, 0.1893, 0.0682, 0.0989, 0.0574, 0.0235, 0.0221, 0.0332, 0.0086]))
Row(prediction=2.0, features=DenseVector([20.0, 49.0, 46.0]), label=10.0, probability=DenseVector([0.0513, 0.1131, 0.242, 0.0894, 0.0295, 0.0016, 0.115, 0.0778, 0.1207, 0.0617, 0.0228, 0.0278, 0.0361, 0.0111]))
Row(prediction=6.0, features=DenseVector([20.0, 50.0, 34.0]), label=8.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 52.0, 40.0]), label=12.0, probability=DenseVector([0.0725, 0.0392, 0.0568, 0.0366, 0.0329, 0.0, 0.5783, 0.0292, 0.0612, 0.0486, 0.0155, 0.0124, 0.0166, 0.0002]))
Row(prediction=3.0, features=DenseVector([21.0, 25.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 27.0, 47.0]), label=12.0, probability=DenseVector([0.0318, 0.2207, 0.0483, 0.3531, 0.012, 0.0161, 0.0502, 0.0609, 0.0697, 0.0327, 0.0061, 0.0196, 0.0771, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 28.0, 54.0]), label=12.0, probability=DenseVector([0.0132, 0.2226, 0.0267, 0.3768, 0.005, 0.0104, 0.0193, 0.0743, 0.0777, 0.0373, 0.0014, 0.0329, 0.1012, 0.001]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=10.0, features=DenseVector([21.0, 31.0, 30.0]), label=7.0, probability=DenseVector([0.1215, 0.0707, 0.0012, 0.0016, 0.1678, 0.0001, 0.2297, 0.024, 0.0114, 0.0455, 0.2999, 0.0068, 0.0197, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 48.0]), label=1.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 48.0]), label=1.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=1.0, features=DenseVector([21.0, 33.0, 42.0]), label=12.0, probability=DenseVector([0.0654, 0.2185, 0.0366, 0.18, 0.0437, 0.012, 0.1477, 0.0526, 0.0565, 0.0356, 0.0645, 0.0129, 0.0725, 0.0014]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 49.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.0131, 0.196, 0.0385, 0.4079, 0.0027, 0.0104, 0.0184, 0.0819, 0.0984, 0.0312, 0.0011, 0.032, 0.0669, 0.0015]))
Row(prediction=10.0, features=DenseVector([21.0, 34.0, 32.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 34.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 34.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 48.0]), label=1.0, probability=DenseVector([0.0341, 0.174, 0.0792, 0.3156, 0.01, 0.0251, 0.033, 0.0948, 0.1056, 0.0316, 0.0055, 0.0317, 0.0574, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 49.0]), label=7.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 50.0]), label=7.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=10.0, features=DenseVector([21.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 35.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 35.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 48.0]), label=4.0, probability=DenseVector([0.0432, 0.1666, 0.1011, 0.2348, 0.013, 0.0244, 0.0402, 0.1118, 0.1265, 0.0363, 0.007, 0.0389, 0.0535, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 48.0]), label=7.0, probability=DenseVector([0.0432, 0.1666, 0.1011, 0.2348, 0.013, 0.0244, 0.0402, 0.1118, 0.1265, 0.0363, 0.007, 0.0389, 0.0535, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 48.0]), label=7.0, probability=DenseVector([0.0432, 0.1666, 0.1011, 0.2348, 0.013, 0.0244, 0.0402, 0.1118, 0.1265, 0.0363, 0.007, 0.0389, 0.0535, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 49.0]), label=1.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 51.0]), label=12.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 51.0]), label=1.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0363, 0.1691, 0.1068, 0.2271, 0.0099, 0.0241, 0.0263, 0.1148, 0.1518, 0.0421, 0.0054, 0.0439, 0.0406, 0.0018]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 36.0, 43.0]), label=12.0, probability=DenseVector([0.061, 0.1876, 0.0961, 0.1664, 0.0232, 0.0169, 0.0826, 0.1033, 0.1154, 0.0386, 0.0174, 0.0311, 0.0581, 0.0022]))
Row(prediction=1.0, features=DenseVector([21.0, 36.0, 45.0]), label=1.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 48.0]), label=7.0, probability=DenseVector([0.0432, 0.1666, 0.1011, 0.2348, 0.013, 0.0244, 0.0402, 0.1118, 0.1265, 0.0363, 0.007, 0.0389, 0.0535, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 48.0]), label=7.0, probability=DenseVector([0.0432, 0.1666, 0.1011, 0.2348, 0.013, 0.0244, 0.0402, 0.1118, 0.1265, 0.0363, 0.007, 0.0389, 0.0535, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 49.0]), label=3.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 50.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 50.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 50.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 36.0, 54.0]), label=1.0, probability=DenseVector([0.0377, 0.1787, 0.104, 0.2029, 0.011, 0.0244, 0.0273, 0.1126, 0.1448, 0.0496, 0.0062, 0.0502, 0.0488, 0.0019]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 37.0]), label=1.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 48.0]), label=2.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 48.0]), label=3.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 48.0]), label=7.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 31.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 38.0, 43.0]), label=12.0, probability=DenseVector([0.061, 0.1876, 0.0961, 0.1664, 0.0232, 0.0169, 0.0826, 0.1033, 0.1154, 0.0386, 0.0174, 0.0311, 0.0581, 0.0022]))
Row(prediction=1.0, features=DenseVector([21.0, 38.0, 47.0]), label=7.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 38.0, 48.0]), label=3.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=1.0, features=DenseVector([21.0, 39.0, 46.0]), label=7.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 39.0, 48.0]), label=1.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=10.0, features=DenseVector([21.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 40.0, 35.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=2.0, features=DenseVector([21.0, 40.0, 45.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 40.0, 46.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 40.0, 47.0]), label=1.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 40.0, 47.0]), label=8.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([21.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 46.0]), label=0.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 46.0]), label=0.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=2.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=12.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 48.0]), label=7.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 48.0]), label=7.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 48.0]), label=7.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 44.0]), label=0.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 45.0]), label=0.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 46.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=7.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 47.0]), label=7.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([21.0, 42.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=10.0, features=DenseVector([21.0, 43.0, 37.0]), label=12.0, probability=DenseVector([0.1889, 0.0559, 0.0045, 0.0023, 0.1672, 0.0001, 0.1923, 0.0245, 0.0263, 0.021, 0.2948, 0.0011, 0.021, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 43.0, 38.0]), label=10.0, probability=DenseVector([0.1809, 0.0605, 0.0055, 0.0027, 0.1652, 0.0001, 0.1909, 0.0247, 0.0249, 0.0225, 0.2987, 0.0011, 0.0221, 0.0]))
Row(prediction=6.0, features=DenseVector([21.0, 43.0, 42.0]), label=1.0, probability=DenseVector([0.0975, 0.1294, 0.1142, 0.073, 0.0583, 0.0081, 0.1674, 0.0656, 0.0872, 0.0589, 0.0737, 0.021, 0.0439, 0.0018]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 45.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 46.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([21.0, 43.0, 49.0]), label=7.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 44.0]), label=12.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 44.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([21.0, 44.0, 48.0]), label=12.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([21.0, 44.0, 53.0]), label=1.0, probability=DenseVector([0.0506, 0.1467, 0.1459, 0.1797, 0.0154, 0.0154, 0.0432, 0.0918, 0.1445, 0.0581, 0.0081, 0.0508, 0.0479, 0.0019]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 39.0]), label=8.0, probability=DenseVector([0.1827, 0.1261, 0.0169, 0.0052, 0.0938, 0.0, 0.2796, 0.0275, 0.027, 0.0386, 0.166, 0.0025, 0.0337, 0.0002]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 43.0]), label=8.0, probability=DenseVector([0.0792, 0.1296, 0.1736, 0.0907, 0.0373, 0.0035, 0.1338, 0.0767, 0.1126, 0.0613, 0.0247, 0.0283, 0.0445, 0.0041]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 45.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 45.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([21.0, 45.0, 54.0]), label=1.0, probability=DenseVector([0.0486, 0.1478, 0.1637, 0.1571, 0.0163, 0.0105, 0.0466, 0.0876, 0.1444, 0.0654, 0.0088, 0.0507, 0.0479, 0.0046]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 44.0]), label=0.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 46.0]), label=1.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([21.0, 47.0, 42.0]), label=8.0, probability=DenseVector([0.0864, 0.1124, 0.1644, 0.0614, 0.0468, 0.0007, 0.2355, 0.0603, 0.0829, 0.0575, 0.035, 0.0184, 0.0327, 0.0057]))
Row(prediction=2.0, features=DenseVector([21.0, 47.0, 51.0]), label=0.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 35.0]), label=8.0, probability=DenseVector([0.0999, 0.0498, 0.0228, 0.0231, 0.0396, 0.0, 0.6136, 0.0226, 0.0367, 0.0358, 0.0343, 0.0054, 0.016, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 36.0]), label=10.0, probability=DenseVector([0.1037, 0.0496, 0.0257, 0.026, 0.0407, 0.0, 0.5926, 0.0231, 0.0403, 0.0392, 0.0358, 0.0061, 0.0169, 0.0003]))
Row(prediction=2.0, features=DenseVector([21.0, 48.0, 45.0]), label=12.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 34.0]), label=1.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 38.0]), label=1.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 39.0]), label=1.0, probability=DenseVector([0.0913, 0.0528, 0.0365, 0.0291, 0.0316, 0.0, 0.6009, 0.0246, 0.0461, 0.0444, 0.0189, 0.0072, 0.0162, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 41.0]), label=2.0, probability=DenseVector([0.083, 0.0652, 0.0819, 0.0369, 0.0395, 0.0001, 0.5072, 0.0315, 0.0539, 0.0488, 0.0224, 0.0089, 0.0188, 0.002]))
Row(prediction=2.0, features=DenseVector([21.0, 49.0, 45.0]), label=10.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 49.0, 51.0]), label=10.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 34.0]), label=8.0, probability=DenseVector([0.0918, 0.0481, 0.0199, 0.021, 0.0371, 0.0, 0.6425, 0.0231, 0.0337, 0.0315, 0.0318, 0.0049, 0.0144, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 50.0, 35.0]), label=1.0, probability=DenseVector([0.0904, 0.0493, 0.0225, 0.0229, 0.0369, 0.0, 0.6297, 0.0227, 0.0365, 0.0354, 0.0324, 0.0054, 0.0157, 0.0003]))
Row(prediction=2.0, features=DenseVector([21.0, 50.0, 47.0]), label=10.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 37.0]), label=1.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 33.0]), label=1.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 53.0, 42.0]), label=2.0, probability=DenseVector([0.0601, 0.0993, 0.1963, 0.0717, 0.0444, 0.0007, 0.2286, 0.0628, 0.0897, 0.0643, 0.0226, 0.0205, 0.0322, 0.0067]))
Row(prediction=2.0, features=DenseVector([21.0, 53.0, 44.0]), label=0.0, probability=DenseVector([0.0526, 0.1001, 0.2175, 0.0813, 0.0379, 0.0009, 0.1664, 0.0705, 0.1074, 0.0714, 0.0255, 0.024, 0.0359, 0.0087]))
Row(prediction=1.0, features=DenseVector([22.0, 18.0, 41.0]), label=1.0, probability=DenseVector([0.0694, 0.2863, 0.0068, 0.0763, 0.0378, 0.0658, 0.2482, 0.0205, 0.0178, 0.0322, 0.0734, 0.0029, 0.0625, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 21.0, 46.0]), label=3.0, probability=DenseVector([0.0194, 0.2704, 0.0114, 0.4059, 0.0061, 0.0363, 0.0514, 0.0401, 0.0408, 0.0203, 0.0029, 0.014, 0.0807, 0.0005]))
Row(prediction=3.0, features=DenseVector([22.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 23.0, 50.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 24.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 25.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 25.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 25.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 26.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 26.0, 51.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 26.0, 62.0]), label=12.0, probability=DenseVector([0.011, 0.2001, 0.0276, 0.3497, 0.0045, 0.0091, 0.0172, 0.0593, 0.0858, 0.0908, 0.0014, 0.0244, 0.1182, 0.001]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 45.0]), label=1.0, probability=DenseVector([0.0338, 0.2423, 0.047, 0.2987, 0.0155, 0.0175, 0.079, 0.059, 0.0663, 0.0322, 0.0065, 0.0177, 0.0828, 0.0018]))
Row(prediction=3.0, features=DenseVector([22.0, 27.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 28.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 28.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 45.0]), label=1.0, probability=DenseVector([0.0338, 0.2423, 0.047, 0.2987, 0.0155, 0.0175, 0.079, 0.059, 0.0663, 0.0322, 0.0065, 0.0177, 0.0828, 0.0018]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([22.0, 30.0, 32.0]), label=10.0, probability=DenseVector([0.0973, 0.0657, 0.0013, 0.0022, 0.1423, 0.0001, 0.3048, 0.0207, 0.0106, 0.0506, 0.2773, 0.0069, 0.0201, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 31.0, 51.0]), label=4.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 48.0]), label=1.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=10.0, features=DenseVector([22.0, 34.0, 35.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 34.0, 37.0]), label=12.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 34.0, 39.0]), label=1.0, probability=DenseVector([0.1402, 0.1156, 0.0113, 0.0047, 0.1125, 0.0, 0.2406, 0.0256, 0.0211, 0.0389, 0.2538, 0.0026, 0.0331, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=10.0, features=DenseVector([22.0, 35.0, 33.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 35.0, 40.0]), label=12.0, probability=DenseVector([0.1402, 0.1156, 0.0113, 0.0047, 0.1125, 0.0, 0.2406, 0.0256, 0.0211, 0.0389, 0.2538, 0.0026, 0.0331, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 35.0, 46.0]), label=12.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([22.0, 35.0, 47.0]), label=1.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 48.0]), label=7.0, probability=DenseVector([0.0432, 0.1666, 0.1011, 0.2348, 0.013, 0.0244, 0.0402, 0.1118, 0.1265, 0.0363, 0.007, 0.0389, 0.0535, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 49.0]), label=3.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 50.0]), label=1.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=10.0, features=DenseVector([22.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 36.0, 39.0]), label=10.0, probability=DenseVector([0.1402, 0.1156, 0.0113, 0.0047, 0.1125, 0.0, 0.2406, 0.0256, 0.0211, 0.0389, 0.2538, 0.0026, 0.0331, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 50.0]), label=1.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=10.0, features=DenseVector([22.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 48.0]), label=1.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 48.0]), label=1.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 48.0]), label=12.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 49.0]), label=1.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 38.0, 37.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 38.0, 46.0]), label=7.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 48.0]), label=1.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 50.0]), label=7.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=10.0, features=DenseVector([22.0, 39.0, 36.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=10.0, features=DenseVector([22.0, 39.0, 37.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 39.0, 47.0]), label=12.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 48.0]), label=1.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 48.0]), label=1.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=10.0, features=DenseVector([22.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=2.0, features=DenseVector([22.0, 40.0, 47.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([22.0, 40.0, 47.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=7.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 49.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=1.0, features=DenseVector([22.0, 41.0, 43.0]), label=0.0, probability=DenseVector([0.073, 0.1667, 0.136, 0.1084, 0.0311, 0.0114, 0.1087, 0.0868, 0.1152, 0.0489, 0.0236, 0.0295, 0.0583, 0.0024]))
Row(prediction=2.0, features=DenseVector([22.0, 41.0, 46.0]), label=0.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=7.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=7.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 46.0]), label=7.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 47.0]), label=12.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 47.0]), label=7.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([22.0, 42.0, 50.0]), label=12.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([22.0, 42.0, 50.0]), label=12.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 44.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([22.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 43.0]), label=2.0, probability=DenseVector([0.0808, 0.1327, 0.1539, 0.1031, 0.0371, 0.0113, 0.1274, 0.078, 0.1126, 0.0599, 0.0249, 0.0287, 0.047, 0.0026]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 44.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 45.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 45.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 44.0, 47.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=6.0, features=DenseVector([22.0, 45.0, 40.0]), label=2.0, probability=DenseVector([0.166, 0.117, 0.0184, 0.0073, 0.0879, 0.0, 0.3093, 0.0239, 0.0272, 0.0452, 0.162, 0.0028, 0.0328, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 45.0, 40.0]), label=1.0, probability=DenseVector([0.166, 0.117, 0.0184, 0.0073, 0.0879, 0.0, 0.3093, 0.0239, 0.0272, 0.0452, 0.162, 0.0028, 0.0328, 0.0002]))
Row(prediction=6.0, features=DenseVector([22.0, 45.0, 42.0]), label=10.0, probability=DenseVector([0.0989, 0.1292, 0.1284, 0.0672, 0.0474, 0.0028, 0.2045, 0.0661, 0.0894, 0.0597, 0.0402, 0.0214, 0.0424, 0.0022]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 45.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 46.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 49.0]), label=10.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 42.0]), label=2.0, probability=DenseVector([0.0945, 0.1208, 0.1531, 0.0608, 0.0478, 0.0008, 0.2191, 0.061, 0.0814, 0.0619, 0.0399, 0.0187, 0.0345, 0.0057]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 42.0]), label=8.0, probability=DenseVector([0.0945, 0.1208, 0.1531, 0.0608, 0.0478, 0.0008, 0.2191, 0.061, 0.0814, 0.0619, 0.0399, 0.0187, 0.0345, 0.0057]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 45.0]), label=0.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 37.0]), label=12.0, probability=DenseVector([0.1759, 0.061, 0.0185, 0.0165, 0.0864, 0.0, 0.3923, 0.0201, 0.0403, 0.0434, 0.1182, 0.0042, 0.0229, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 41.0]), label=1.0, probability=DenseVector([0.1212, 0.106, 0.074, 0.0285, 0.0568, 0.0001, 0.3694, 0.0308, 0.0463, 0.0534, 0.0752, 0.0073, 0.0289, 0.002]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 42.0]), label=8.0, probability=DenseVector([0.0864, 0.1124, 0.1644, 0.0614, 0.0468, 0.0007, 0.2355, 0.0603, 0.0829, 0.0575, 0.035, 0.0184, 0.0327, 0.0057]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 50.0]), label=1.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 36.0]), label=7.0, probability=DenseVector([0.0916, 0.0459, 0.0272, 0.0281, 0.0391, 0.0, 0.6027, 0.0217, 0.041, 0.0422, 0.0359, 0.0065, 0.0179, 0.0003]))
Row(prediction=2.0, features=DenseVector([22.0, 48.0, 43.0]), label=2.0, probability=DenseVector([0.0569, 0.11, 0.227, 0.0856, 0.0312, 0.0014, 0.1772, 0.071, 0.1025, 0.057, 0.0155, 0.0236, 0.031, 0.0101]))
Row(prediction=2.0, features=DenseVector([22.0, 48.0, 43.0]), label=8.0, probability=DenseVector([0.0569, 0.11, 0.227, 0.0856, 0.0312, 0.0014, 0.1772, 0.071, 0.1025, 0.057, 0.0155, 0.0236, 0.031, 0.0101]))
Row(prediction=2.0, features=DenseVector([22.0, 48.0, 45.0]), label=0.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 26.0]), label=4.0, probability=DenseVector([0.0823, 0.0472, 0.0176, 0.019, 0.0303, 0.0, 0.6841, 0.0217, 0.0291, 0.0306, 0.0185, 0.0046, 0.0146, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 36.0]), label=10.0, probability=DenseVector([0.0916, 0.0459, 0.0272, 0.0281, 0.0391, 0.0, 0.6027, 0.0217, 0.041, 0.0422, 0.0359, 0.0065, 0.0179, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 37.0]), label=1.0, probability=DenseVector([0.0922, 0.0446, 0.0339, 0.0313, 0.0397, 0.0, 0.582, 0.0226, 0.0459, 0.046, 0.0372, 0.0073, 0.0172, 0.0003]))
Row(prediction=2.0, features=DenseVector([22.0, 49.0, 47.0]), label=7.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 36.0]), label=1.0, probability=DenseVector([0.0916, 0.0459, 0.0272, 0.0281, 0.0391, 0.0, 0.6027, 0.0217, 0.041, 0.0422, 0.0359, 0.0065, 0.0179, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 38.0]), label=8.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 39.0]), label=1.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 51.0, 42.0]), label=2.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=2.0, features=DenseVector([22.0, 54.0, 47.0]), label=10.0, probability=DenseVector([0.0495, 0.1009, 0.1991, 0.079, 0.0429, 0.0009, 0.1447, 0.0717, 0.1104, 0.1071, 0.0268, 0.0226, 0.0369, 0.0075]))
Row(prediction=3.0, features=DenseVector([23.0, 21.0, 45.0]), label=12.0, probability=DenseVector([0.0188, 0.2602, 0.0107, 0.4178, 0.0071, 0.0393, 0.0589, 0.0373, 0.0385, 0.0207, 0.0022, 0.0133, 0.0748, 0.0004]))
Row(prediction=3.0, features=DenseVector([23.0, 22.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 23.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 24.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([23.0, 25.0, 56.0]), label=1.0, probability=DenseVector([0.0102, 0.1924, 0.03, 0.3758, 0.0036, 0.0094, 0.0175, 0.0633, 0.0811, 0.0762, 0.0014, 0.0331, 0.1048, 0.0011]))
Row(prediction=3.0, features=DenseVector([23.0, 26.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 48.0]), label=12.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 28.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 28.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 28.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 28.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 48.0]), label=1.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([23.0, 31.0, 36.0]), label=12.0, probability=DenseVector([0.0749, 0.0505, 0.0075, 0.0089, 0.0729, 0.0044, 0.5009, 0.0114, 0.0112, 0.0768, 0.1516, 0.0078, 0.021, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 31.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([23.0, 32.0, 31.0]), label=10.0, probability=DenseVector([0.0972, 0.0504, 0.0055, 0.0072, 0.1001, 0.0043, 0.4117, 0.0147, 0.0106, 0.0464, 0.2316, 0.0012, 0.0188, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 48.0]), label=1.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([23.0, 33.0, 32.0]), label=10.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([23.0, 34.0, 35.0]), label=10.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 47.0]), label=1.0, probability=DenseVector([0.0482, 0.1888, 0.0955, 0.2407, 0.0164, 0.0201, 0.0518, 0.0955, 0.1086, 0.0354, 0.0089, 0.0282, 0.0594, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 53.0]), label=1.0, probability=DenseVector([0.0303, 0.1707, 0.0931, 0.2748, 0.0087, 0.0243, 0.0235, 0.1048, 0.1389, 0.0408, 0.0047, 0.0388, 0.0446, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 49.0]), label=1.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 50.0]), label=12.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0363, 0.1691, 0.1068, 0.2271, 0.0099, 0.0241, 0.0263, 0.1148, 0.1518, 0.0421, 0.0054, 0.0439, 0.0406, 0.0018]))
Row(prediction=6.0, features=DenseVector([23.0, 36.0, 33.0]), label=10.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=1.0, features=DenseVector([23.0, 37.0, 44.0]), label=1.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([23.0, 37.0, 45.0]), label=12.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=6.0, features=DenseVector([23.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=1.0, features=DenseVector([23.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=6.0, features=DenseVector([23.0, 39.0, 26.0]), label=12.0, probability=DenseVector([0.0812, 0.0593, 0.0056, 0.0069, 0.0752, 0.0043, 0.5182, 0.0122, 0.0104, 0.0403, 0.1664, 0.0012, 0.0187, 0.0002]))
Row(prediction=6.0, features=DenseVector([23.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=1.0, features=DenseVector([23.0, 39.0, 45.0]), label=7.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([23.0, 39.0, 47.0]), label=1.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 48.0]), label=1.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 58.0]), label=11.0, probability=DenseVector([0.049, 0.15, 0.118, 0.1548, 0.0197, 0.0123, 0.0391, 0.0859, 0.1531, 0.0918, 0.012, 0.0485, 0.0647, 0.0011]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 44.0]), label=4.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 45.0]), label=0.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([23.0, 41.0, 47.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([23.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 47.0]), label=0.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 48.0]), label=12.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([23.0, 42.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=6.0, features=DenseVector([23.0, 43.0, 29.0]), label=12.0, probability=DenseVector([0.1132, 0.0661, 0.0074, 0.0073, 0.0625, 0.0044, 0.5363, 0.0109, 0.0163, 0.0456, 0.1092, 0.0014, 0.0192, 0.0002]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 47.0]), label=7.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=6.0, features=DenseVector([23.0, 44.0, 35.0]), label=10.0, probability=DenseVector([0.1374, 0.0574, 0.0135, 0.0084, 0.0826, 0.0001, 0.4449, 0.0148, 0.0212, 0.045, 0.1522, 0.0019, 0.0203, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 44.0, 37.0]), label=10.0, probability=DenseVector([0.1374, 0.0574, 0.0135, 0.0084, 0.0826, 0.0001, 0.4449, 0.0148, 0.0212, 0.045, 0.1522, 0.0019, 0.0203, 0.0003]))
Row(prediction=6.0, features=DenseVector([23.0, 44.0, 42.0]), label=0.0, probability=DenseVector([0.086, 0.121, 0.1225, 0.0792, 0.0454, 0.0082, 0.2252, 0.0643, 0.0866, 0.0621, 0.0344, 0.0216, 0.0411, 0.0024]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 46.0]), label=12.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([23.0, 45.0, 39.0]), label=0.0, probability=DenseVector([0.1264, 0.0781, 0.0218, 0.0127, 0.0698, 0.0001, 0.4471, 0.0159, 0.0214, 0.0551, 0.1235, 0.0027, 0.0247, 0.0006]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 51.0]), label=0.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=6.0, features=DenseVector([23.0, 46.0, 42.0]), label=1.0, probability=DenseVector([0.0812, 0.111, 0.1574, 0.065, 0.0458, 0.0009, 0.2441, 0.0594, 0.0796, 0.0649, 0.0338, 0.0191, 0.0317, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 43.0]), label=8.0, probability=DenseVector([0.0644, 0.1169, 0.2095, 0.0826, 0.0359, 0.0015, 0.1644, 0.0702, 0.1001, 0.064, 0.0237, 0.0242, 0.0334, 0.0093]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 44.0]), label=7.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 45.0]), label=0.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 47.0]), label=12.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([23.0, 47.0, 35.0]), label=10.0, probability=DenseVector([0.1392, 0.0561, 0.0178, 0.0143, 0.0706, 0.0001, 0.4843, 0.0156, 0.0297, 0.0426, 0.107, 0.0032, 0.0191, 0.0004]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 43.0]), label=0.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 45.0]), label=7.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=6.0, features=DenseVector([23.0, 48.0, 42.0]), label=2.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 43.0]), label=2.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([23.0, 50.0, 38.0]), label=2.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([23.0, 51.0, 42.0]), label=2.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=6.0, features=DenseVector([23.0, 52.0, 39.0]), label=1.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([23.0, 54.0, 35.0]), label=1.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=2.0, features=DenseVector([23.0, 54.0, 45.0]), label=1.0, probability=DenseVector([0.0537, 0.1011, 0.2041, 0.0768, 0.0387, 0.0009, 0.1828, 0.0702, 0.1071, 0.0709, 0.0248, 0.0239, 0.0366, 0.0086]))
Row(prediction=3.0, features=DenseVector([24.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 24.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([24.0, 25.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([24.0, 28.0, 41.0]), label=12.0, probability=DenseVector([0.0768, 0.1323, 0.032, 0.0612, 0.0467, 0.0153, 0.3929, 0.0257, 0.0293, 0.0674, 0.0739, 0.0059, 0.0391, 0.0017]))
Row(prediction=3.0, features=DenseVector([24.0, 28.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 28.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 29.0, 47.0]), label=1.0, probability=DenseVector([0.0318, 0.2207, 0.0483, 0.3531, 0.012, 0.0161, 0.0502, 0.0609, 0.0697, 0.0327, 0.0061, 0.0196, 0.0771, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 30.0, 45.0]), label=1.0, probability=DenseVector([0.0358, 0.2342, 0.0594, 0.2782, 0.0165, 0.0164, 0.0804, 0.0635, 0.0729, 0.0342, 0.0071, 0.0188, 0.0805, 0.0021]))
Row(prediction=3.0, features=DenseVector([24.0, 30.0, 47.0]), label=1.0, probability=DenseVector([0.0338, 0.2126, 0.0607, 0.3325, 0.013, 0.015, 0.0516, 0.0654, 0.0763, 0.0347, 0.0066, 0.0207, 0.0748, 0.0022]))
Row(prediction=3.0, features=DenseVector([24.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 54.0]), label=3.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=6.0, features=DenseVector([24.0, 32.0, 34.0]), label=10.0, probability=DenseVector([0.0972, 0.0504, 0.0055, 0.0072, 0.1001, 0.0043, 0.4117, 0.0147, 0.0106, 0.0464, 0.2316, 0.0012, 0.0188, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 46.0]), label=1.0, probability=DenseVector([0.0352, 0.2264, 0.0598, 0.2939, 0.0155, 0.0157, 0.07, 0.0653, 0.075, 0.0348, 0.007, 0.0196, 0.0797, 0.0022]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=6.0, features=DenseVector([24.0, 33.0, 39.0]), label=12.0, probability=DenseVector([0.1028, 0.0717, 0.016, 0.0132, 0.0879, 0.0044, 0.3978, 0.016, 0.0156, 0.0517, 0.1966, 0.0023, 0.0236, 0.0004]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 47.0]), label=12.0, probability=DenseVector([0.0338, 0.2126, 0.0607, 0.3325, 0.013, 0.015, 0.0516, 0.0654, 0.0763, 0.0347, 0.0066, 0.0207, 0.0748, 0.0022]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 51.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 49.0]), label=7.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 50.0]), label=1.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0304, 0.1711, 0.0791, 0.332, 0.0081, 0.0298, 0.0278, 0.0909, 0.1065, 0.0308, 0.0048, 0.0314, 0.0549, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 35.0, 50.0]), label=11.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=6.0, features=DenseVector([24.0, 37.0, 33.0]), label=10.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=6.0, features=DenseVector([24.0, 39.0, 32.0]), label=12.0, probability=DenseVector([0.1022, 0.051, 0.0057, 0.0073, 0.1043, 0.0043, 0.3968, 0.0154, 0.0112, 0.038, 0.2444, 0.0012, 0.0181, 0.0002]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=6.0, features=DenseVector([24.0, 41.0, 37.0]), label=10.0, probability=DenseVector([0.1033, 0.0506, 0.0077, 0.009, 0.1046, 0.0043, 0.3844, 0.0154, 0.0134, 0.0411, 0.2452, 0.0015, 0.0194, 0.0002]))
Row(prediction=2.0, features=DenseVector([24.0, 41.0, 46.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 47.0]), label=0.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=2.0, features=DenseVector([24.0, 43.0, 45.0]), label=1.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 43.0, 47.0]), label=7.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=6.0, features=DenseVector([24.0, 44.0, 40.0]), label=0.0, probability=DenseVector([0.1256, 0.08, 0.0234, 0.0132, 0.0709, 0.0001, 0.4416, 0.0161, 0.0226, 0.0575, 0.12, 0.0029, 0.0255, 0.0006]))
Row(prediction=6.0, features=DenseVector([24.0, 44.0, 41.0]), label=4.0, probability=DenseVector([0.1086, 0.0993, 0.0459, 0.0314, 0.0586, 0.0056, 0.4133, 0.0254, 0.0296, 0.0657, 0.0797, 0.0062, 0.0286, 0.002]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 45.0]), label=7.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 45.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 45.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 46.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 46.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 48.0]), label=0.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=6.0, features=DenseVector([24.0, 46.0, 39.0]), label=10.0, probability=DenseVector([0.1283, 0.08, 0.0243, 0.0164, 0.0621, 0.0001, 0.4611, 0.0159, 0.0247, 0.059, 0.0984, 0.0039, 0.0252, 0.0006]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 46.0]), label=7.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 31.0]), label=1.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 40.0]), label=2.0, probability=DenseVector([0.0893, 0.0485, 0.0419, 0.0349, 0.0386, 0.0001, 0.5754, 0.0216, 0.0441, 0.0522, 0.0271, 0.0076, 0.0178, 0.0008]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 43.0]), label=8.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 46.0]), label=7.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 40.0]), label=2.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 40.0]), label=12.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 42.0]), label=12.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 42.0]), label=2.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 50.0, 51.0]), label=2.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=2.0, features=DenseVector([24.0, 50.0, 52.0]), label=10.0, probability=DenseVector([0.0364, 0.1253, 0.1905, 0.1431, 0.0238, 0.0027, 0.0593, 0.077, 0.1344, 0.1104, 0.0136, 0.0391, 0.0359, 0.0085]))
Row(prediction=6.0, features=DenseVector([24.0, 51.0, 42.0]), label=2.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=2.0, features=DenseVector([24.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=2.0, features=DenseVector([24.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=2.0, features=DenseVector([24.0, 52.0, 43.0]), label=2.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=2.0, features=DenseVector([24.0, 52.0, 45.0]), label=2.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=2.0, features=DenseVector([24.0, 53.0, 45.0]), label=2.0, probability=DenseVector([0.0526, 0.1001, 0.2175, 0.0813, 0.0379, 0.0009, 0.1664, 0.0705, 0.1074, 0.0714, 0.0255, 0.024, 0.0359, 0.0087]))
Row(prediction=3.0, features=DenseVector([25.0, 20.0, 49.0]), label=3.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([25.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([25.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([25.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([25.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([25.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([25.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 27.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([25.0, 28.0, 42.0]), label=1.0, probability=DenseVector([0.0492, 0.203, 0.0421, 0.1873, 0.031, 0.0163, 0.2071, 0.0487, 0.0544, 0.05, 0.027, 0.013, 0.0691, 0.0018]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 49.0]), label=8.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 52.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 29.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 31.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([25.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([25.0, 33.0, 35.0]), label=10.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 48.0]), label=12.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([25.0, 34.0, 51.0]), label=1.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 51.0]), label=11.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 56.0]), label=11.0, probability=DenseVector([0.0297, 0.1749, 0.0984, 0.2068, 0.0101, 0.0194, 0.0236, 0.1097, 0.1576, 0.0619, 0.0072, 0.0488, 0.0503, 0.0017]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 46.0]), label=1.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.0378, 0.1591, 0.0986, 0.2543, 0.0114, 0.0252, 0.0355, 0.1109, 0.1305, 0.0365, 0.0062, 0.0407, 0.0508, 0.0023]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 52.0]), label=0.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=6.0, features=DenseVector([25.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.0845, 0.0513, 0.008, 0.0107, 0.0543, 0.0115, 0.5537, 0.0099, 0.0111, 0.0694, 0.114, 0.0016, 0.0198, 0.0002]))
Row(prediction=3.0, features=DenseVector([25.0, 37.0, 48.0]), label=12.0, probability=DenseVector([0.0416, 0.1536, 0.1163, 0.2271, 0.0137, 0.0236, 0.0386, 0.1135, 0.1322, 0.0392, 0.0074, 0.0419, 0.0488, 0.0026]))
Row(prediction=3.0, features=DenseVector([25.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=6.0, features=DenseVector([25.0, 38.0, 36.0]), label=10.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 45.0]), label=1.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 50.0]), label=12.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 45.0]), label=3.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 50.0]), label=12.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 62.0]), label=10.0, probability=DenseVector([0.0478, 0.1478, 0.1226, 0.1622, 0.0187, 0.0124, 0.0358, 0.088, 0.1551, 0.0887, 0.0117, 0.0465, 0.0615, 0.0013]))
Row(prediction=6.0, features=DenseVector([25.0, 42.0, 27.0]), label=1.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=2.0, features=DenseVector([25.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 42.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=12.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 45.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=7.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([25.0, 43.0, 50.0]), label=12.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([25.0, 44.0, 36.0]), label=10.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=2.0, features=DenseVector([25.0, 44.0, 43.0]), label=2.0, probability=DenseVector([0.0722, 0.1302, 0.1553, 0.1042, 0.0354, 0.0113, 0.1418, 0.0773, 0.1111, 0.0601, 0.0242, 0.0286, 0.0458, 0.0027]))
Row(prediction=2.0, features=DenseVector([25.0, 44.0, 46.0]), label=12.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([25.0, 44.0, 47.0]), label=12.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([25.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([25.0, 45.0, 37.0]), label=10.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 45.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 50.0]), label=1.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 51.0]), label=2.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 44.0]), label=8.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 50.0]), label=2.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 50.0]), label=1.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 55.0]), label=1.0, probability=DenseVector([0.0385, 0.136, 0.2023, 0.1503, 0.017, 0.0091, 0.0557, 0.0845, 0.1401, 0.0697, 0.0096, 0.0414, 0.0366, 0.0093]))
Row(prediction=6.0, features=DenseVector([25.0, 47.0, 42.0]), label=2.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 50.0]), label=2.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 36.0]), label=1.0, probability=DenseVector([0.085, 0.0437, 0.0282, 0.0294, 0.034, 0.0, 0.624, 0.0185, 0.0391, 0.0468, 0.0263, 0.0067, 0.018, 0.0005]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 40.0]), label=2.0, probability=DenseVector([0.0893, 0.0485, 0.0419, 0.0349, 0.0386, 0.0001, 0.5754, 0.0216, 0.0441, 0.0522, 0.0271, 0.0076, 0.0178, 0.0008]))
Row(prediction=6.0, features=DenseVector([25.0, 48.0, 42.0]), label=2.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 42.0]), label=2.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=6.0, features=DenseVector([25.0, 49.0, 42.0]), label=12.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 40.0]), label=2.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 41.0]), label=2.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([25.0, 50.0, 41.0]), label=2.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=2.0, features=DenseVector([25.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 50.0, 56.0]), label=12.0, probability=DenseVector([0.0294, 0.1254, 0.1846, 0.1218, 0.0257, 0.0027, 0.055, 0.0678, 0.1251, 0.1633, 0.012, 0.035, 0.044, 0.0083]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 39.0]), label=2.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([25.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0446, 0.1026, 0.2576, 0.0869, 0.0297, 0.0009, 0.1414, 0.0733, 0.1099, 0.066, 0.0185, 0.0261, 0.0336, 0.0088]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 40.0]), label=2.0, probability=DenseVector([0.0699, 0.036, 0.0586, 0.0388, 0.0341, 0.0, 0.5724, 0.0277, 0.062, 0.0519, 0.0175, 0.0128, 0.018, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 40.0]), label=3.0, probability=DenseVector([0.0699, 0.036, 0.0586, 0.0388, 0.0341, 0.0, 0.5724, 0.0277, 0.062, 0.0519, 0.0175, 0.0128, 0.018, 0.0002]))
Row(prediction=2.0, features=DenseVector([25.0, 52.0, 52.0]), label=4.0, probability=DenseVector([0.0334, 0.11, 0.17, 0.1273, 0.0343, 0.0016, 0.0956, 0.0649, 0.1098, 0.1659, 0.0161, 0.0281, 0.0383, 0.0048]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 41.0]), label=2.0, probability=DenseVector([0.0646, 0.0505, 0.0931, 0.0426, 0.0407, 0.0001, 0.5068, 0.0325, 0.059, 0.0563, 0.0177, 0.0148, 0.0192, 0.0023]))
Row(prediction=6.0, features=DenseVector([25.0, 53.0, 42.0]), label=2.0, probability=DenseVector([0.0601, 0.0993, 0.1963, 0.0717, 0.0444, 0.0007, 0.2286, 0.0628, 0.0897, 0.0643, 0.0226, 0.0205, 0.0322, 0.0067]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 30.0]), label=4.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 39.0]), label=3.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([25.0, 55.0, 46.0]), label=3.0, probability=DenseVector([0.0507, 0.1013, 0.218, 0.0779, 0.0368, 0.0009, 0.1769, 0.0693, 0.1065, 0.0702, 0.0227, 0.0253, 0.0348, 0.0086]))
Row(prediction=2.0, features=DenseVector([25.0, 57.0, 45.0]), label=2.0, probability=DenseVector([0.0464, 0.0957, 0.2104, 0.0819, 0.038, 0.0009, 0.1809, 0.0646, 0.1036, 0.0937, 0.0187, 0.0241, 0.0325, 0.0086]))
Row(prediction=9.0, features=DenseVector([25.0, 62.0, 55.0]), label=1.0, probability=DenseVector([0.0299, 0.119, 0.1129, 0.1026, 0.0426, 0.0015, 0.0738, 0.0582, 0.1014, 0.2669, 0.018, 0.0268, 0.0429, 0.0035]))
Row(prediction=6.0, features=DenseVector([25.0, 63.0, 41.0]), label=1.0, probability=DenseVector([0.0599, 0.0509, 0.079, 0.0401, 0.0362, 0.0001, 0.5599, 0.0263, 0.0493, 0.0531, 0.0133, 0.0108, 0.0179, 0.0031]))
Row(prediction=5.0, features=DenseVector([26.0, 15.0, 41.0]), label=3.0, probability=DenseVector([0.0133, 0.1777, 0.0021, 0.2301, 0.0069, 0.3181, 0.1544, 0.0091, 0.009, 0.0246, 0.0089, 0.0018, 0.0441, 0.0]))
Row(prediction=3.0, features=DenseVector([26.0, 15.0, 44.0]), label=3.0, probability=DenseVector([0.0184, 0.2598, 0.0107, 0.3744, 0.0072, 0.0671, 0.0733, 0.0373, 0.0385, 0.022, 0.0022, 0.013, 0.0756, 0.0004]))
Row(prediction=3.0, features=DenseVector([26.0, 16.0, 43.0]), label=3.0, probability=DenseVector([0.0179, 0.254, 0.0102, 0.354, 0.0071, 0.101, 0.0751, 0.0348, 0.0362, 0.0217, 0.0022, 0.0119, 0.0734, 0.0004]))
Row(prediction=5.0, features=DenseVector([26.0, 17.0, 41.0]), label=3.0, probability=DenseVector([0.0133, 0.1777, 0.0021, 0.2301, 0.0069, 0.3181, 0.1544, 0.0091, 0.009, 0.0246, 0.0089, 0.0018, 0.0441, 0.0]))
Row(prediction=3.0, features=DenseVector([26.0, 20.0, 46.0]), label=3.0, probability=DenseVector([0.0181, 0.2523, 0.0112, 0.4335, 0.0061, 0.0386, 0.0485, 0.0391, 0.0407, 0.0213, 0.0021, 0.014, 0.074, 0.0005]))
Row(prediction=3.0, features=DenseVector([26.0, 20.0, 47.0]), label=3.0, probability=DenseVector([0.0182, 0.2425, 0.0122, 0.4629, 0.0054, 0.0215, 0.038, 0.0425, 0.0445, 0.0216, 0.002, 0.0149, 0.0733, 0.0005]))
Row(prediction=3.0, features=DenseVector([26.0, 20.0, 47.0]), label=3.0, probability=DenseVector([0.0182, 0.2425, 0.0122, 0.4629, 0.0054, 0.0215, 0.038, 0.0425, 0.0445, 0.0216, 0.002, 0.0149, 0.0733, 0.0005]))
Row(prediction=3.0, features=DenseVector([26.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([26.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([26.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([26.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([26.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([26.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([26.0, 21.0, 50.0]), label=3.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([26.0, 22.0, 47.0]), label=3.0, probability=DenseVector([0.0223, 0.2431, 0.0193, 0.4171, 0.0076, 0.0247, 0.0432, 0.0482, 0.052, 0.0248, 0.0033, 0.0163, 0.0765, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 22.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 23.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 23.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([26.0, 24.0, 12.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 24.0, 13.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 24.0, 14.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=3.0, features=DenseVector([26.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([26.0, 25.0, 14.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 25.0, 14.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=3.0, features=DenseVector([26.0, 25.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 26.0, 43.0]), label=1.0, probability=DenseVector([0.0278, 0.2569, 0.0201, 0.3165, 0.0137, 0.038, 0.1071, 0.0449, 0.0473, 0.0264, 0.0071, 0.0133, 0.0794, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 27.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 28.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 28.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 31.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 51.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 51.0]), label=7.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0263, 0.1627, 0.0835, 0.3393, 0.0074, 0.0299, 0.0258, 0.0904, 0.1111, 0.0318, 0.0044, 0.0327, 0.0523, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.0255, 0.1725, 0.0925, 0.2709, 0.0078, 0.0206, 0.0192, 0.1045, 0.1419, 0.0457, 0.0046, 0.0444, 0.0478, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 62.0]), label=7.0, probability=DenseVector([0.0249, 0.1785, 0.0883, 0.2611, 0.008, 0.0198, 0.0202, 0.1034, 0.1432, 0.0504, 0.0045, 0.0446, 0.0512, 0.0018]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 44.0]), label=1.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.0315, 0.1709, 0.1061, 0.2231, 0.009, 0.0204, 0.022, 0.1144, 0.1547, 0.047, 0.0053, 0.0495, 0.0437, 0.0022]))
Row(prediction=3.0, features=DenseVector([26.0, 35.0, 55.0]), label=3.0, probability=DenseVector([0.0309, 0.1769, 0.102, 0.2133, 0.0093, 0.0196, 0.023, 0.1134, 0.1561, 0.0517, 0.0052, 0.0497, 0.0472, 0.0018]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0354, 0.1553, 0.1054, 0.2586, 0.0105, 0.0292, 0.033, 0.1073, 0.132, 0.0365, 0.0059, 0.04, 0.0485, 0.0025]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=6.0, features=DenseVector([26.0, 37.0, 38.0]), label=7.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([26.0, 37.0, 42.0]), label=12.0, probability=DenseVector([0.0652, 0.1571, 0.077, 0.1395, 0.0356, 0.0138, 0.1681, 0.0837, 0.0952, 0.0463, 0.0415, 0.0259, 0.0492, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 55.0]), label=2.0, probability=DenseVector([0.0319, 0.1741, 0.1088, 0.2077, 0.0095, 0.0239, 0.023, 0.1131, 0.1528, 0.0521, 0.0053, 0.0498, 0.0463, 0.0017]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 54.0]), label=3.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 49.0]), label=11.0, probability=DenseVector([0.0403, 0.1546, 0.1093, 0.2393, 0.0129, 0.0242, 0.0359, 0.1132, 0.1316, 0.0383, 0.007, 0.0424, 0.0487, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 50.0]), label=1.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=6.0, features=DenseVector([26.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 41.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=2.0, features=DenseVector([26.0, 42.0, 45.0]), label=1.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 42.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 49.0]), label=0.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.049, 0.1411, 0.1468, 0.1957, 0.013, 0.0155, 0.0365, 0.0953, 0.1486, 0.052, 0.0073, 0.0479, 0.0494, 0.002]))
Row(prediction=2.0, features=DenseVector([26.0, 43.0, 47.0]), label=0.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 57.0]), label=3.0, probability=DenseVector([0.0467, 0.1454, 0.1357, 0.1566, 0.0202, 0.0124, 0.0412, 0.0841, 0.1539, 0.0914, 0.0123, 0.045, 0.0538, 0.0013]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 48.0]), label=0.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 48.0]), label=1.0, probability=DenseVector([0.0464, 0.1232, 0.2093, 0.1471, 0.0172, 0.0044, 0.0619, 0.09, 0.1429, 0.0546, 0.0096, 0.0406, 0.0467, 0.0059]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 33.0]), label=1.0, probability=DenseVector([0.1096, 0.0549, 0.0128, 0.0101, 0.048, 0.0072, 0.5807, 0.0115, 0.0162, 0.057, 0.0711, 0.002, 0.0186, 0.0003]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 48.0]), label=12.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 49.0]), label=1.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 38.0]), label=4.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=6.0, features=DenseVector([26.0, 49.0, 42.0]), label=12.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 41.0]), label=2.0, probability=DenseVector([0.079, 0.0596, 0.0824, 0.0413, 0.0427, 0.0002, 0.5029, 0.0286, 0.0521, 0.0538, 0.0264, 0.0093, 0.0192, 0.0025]))
Row(prediction=6.0, features=DenseVector([26.0, 50.0, 42.0]), label=2.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.054, 0.1087, 0.2278, 0.0868, 0.0327, 0.0014, 0.1754, 0.0689, 0.1015, 0.0592, 0.0184, 0.0239, 0.0312, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 50.0, 47.0]), label=2.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 36.0]), label=7.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([26.0, 51.0, 42.0]), label=2.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=2.0, features=DenseVector([26.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0551, 0.1003, 0.2164, 0.0788, 0.04, 0.0007, 0.2089, 0.0633, 0.0902, 0.0647, 0.0221, 0.02, 0.0317, 0.0077]))
Row(prediction=2.0, features=DenseVector([26.0, 51.0, 45.0]), label=2.0, probability=DenseVector([0.0446, 0.1026, 0.2576, 0.0869, 0.0297, 0.0009, 0.1414, 0.0733, 0.1099, 0.066, 0.0185, 0.0261, 0.0336, 0.0088]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 41.0]), label=2.0, probability=DenseVector([0.0649, 0.0508, 0.0965, 0.0431, 0.04, 0.0001, 0.4954, 0.0349, 0.0665, 0.0534, 0.0187, 0.0141, 0.0198, 0.0018]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 42.0]), label=2.0, probability=DenseVector([0.0574, 0.1001, 0.2094, 0.0753, 0.0421, 0.0007, 0.2144, 0.0638, 0.0903, 0.0651, 0.0225, 0.02, 0.0321, 0.0068]))
Row(prediction=2.0, features=DenseVector([26.0, 53.0, 47.0]), label=2.0, probability=DenseVector([0.0468, 0.1017, 0.2279, 0.083, 0.0379, 0.0009, 0.1438, 0.0707, 0.1092, 0.0864, 0.0249, 0.0245, 0.0341, 0.0083]))
Row(prediction=2.0, features=DenseVector([26.0, 54.0, 44.0]), label=3.0, probability=DenseVector([0.0507, 0.1013, 0.218, 0.0779, 0.0368, 0.0009, 0.1769, 0.0693, 0.1065, 0.0702, 0.0227, 0.0253, 0.0348, 0.0086]))
Row(prediction=2.0, features=DenseVector([26.0, 55.0, 45.0]), label=1.0, probability=DenseVector([0.0507, 0.1013, 0.218, 0.0779, 0.0368, 0.0009, 0.1769, 0.0693, 0.1065, 0.0702, 0.0227, 0.0253, 0.0348, 0.0086]))
Row(prediction=2.0, features=DenseVector([26.0, 56.0, 44.0]), label=2.0, probability=DenseVector([0.0495, 0.0986, 0.2139, 0.0823, 0.0368, 0.0009, 0.1863, 0.067, 0.1037, 0.0728, 0.0208, 0.0246, 0.0342, 0.0086]))
Row(prediction=3.0, features=DenseVector([27.0, 15.0, 43.0]), label=3.0, probability=DenseVector([0.0186, 0.2408, 0.0213, 0.3329, 0.009, 0.1079, 0.082, 0.0363, 0.038, 0.0244, 0.0031, 0.0123, 0.0721, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 18.0, 46.0]), label=3.0, probability=DenseVector([0.0189, 0.2395, 0.0305, 0.4152, 0.0069, 0.0391, 0.0473, 0.0413, 0.0444, 0.0237, 0.0027, 0.0152, 0.0725, 0.0027]))
Row(prediction=3.0, features=DenseVector([27.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0136, 0.2053, 0.025, 0.4738, 0.0033, 0.0179, 0.0262, 0.0545, 0.0592, 0.0257, 0.0014, 0.0217, 0.0719, 0.0007]))
Row(prediction=3.0, features=DenseVector([27.0, 21.0, 50.0]), label=3.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=6.0, features=DenseVector([27.0, 22.0, 12.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 22.0, 14.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 22.0, 48.0]), label=3.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([27.0, 23.0, 14.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 23.0, 14.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([27.0, 24.0, 12.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 24.0, 12.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 24.0, 13.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 24.0, 13.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 24.0, 13.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 24.0, 13.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 24.0, 14.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 24.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 24.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=6.0, features=DenseVector([27.0, 25.0, 13.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([27.0, 25.0, 13.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=3.0, features=DenseVector([27.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 51.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 27.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 28.0, 45.0]), label=1.0, probability=DenseVector([0.0311, 0.2383, 0.0583, 0.3023, 0.0148, 0.018, 0.076, 0.0565, 0.0636, 0.0323, 0.0064, 0.0178, 0.0805, 0.004]))
Row(prediction=3.0, features=DenseVector([27.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 29.0, 54.0]), label=12.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 30.0, 55.0]), label=12.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=3.0, features=DenseVector([27.0, 31.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 31.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 31.0, 58.0]), label=12.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 59.0]), label=1.0, probability=DenseVector([0.0116, 0.202, 0.0343, 0.39, 0.0041, 0.0104, 0.019, 0.0743, 0.0967, 0.0454, 0.0018, 0.0358, 0.0732, 0.0013]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 45.0]), label=1.0, probability=DenseVector([0.0428, 0.19, 0.1104, 0.213, 0.0175, 0.0216, 0.0651, 0.0924, 0.1093, 0.0366, 0.0086, 0.0285, 0.0594, 0.0048]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 54.0]), label=12.0, probability=DenseVector([0.0255, 0.1725, 0.0925, 0.2709, 0.0078, 0.0206, 0.0192, 0.1045, 0.1419, 0.0457, 0.0046, 0.0444, 0.0478, 0.0023]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 55.0]), label=12.0, probability=DenseVector([0.0249, 0.1785, 0.0883, 0.2611, 0.008, 0.0198, 0.0202, 0.1034, 0.1432, 0.0504, 0.0045, 0.0446, 0.0512, 0.0018]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 56.0]), label=3.0, probability=DenseVector([0.0297, 0.1749, 0.0984, 0.2068, 0.0101, 0.0194, 0.0236, 0.1097, 0.1576, 0.0619, 0.0072, 0.0488, 0.0503, 0.0017]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 49.0]), label=10.0, probability=DenseVector([0.0372, 0.1461, 0.1256, 0.2462, 0.0121, 0.0252, 0.0329, 0.1086, 0.1329, 0.0374, 0.007, 0.0428, 0.0433, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 51.0]), label=1.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 53.0]), label=12.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 53.0]), label=1.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 54.0]), label=3.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 50.0]), label=10.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=10.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 54.0]), label=7.0, probability=DenseVector([0.0467, 0.1419, 0.1585, 0.2017, 0.0112, 0.0173, 0.0293, 0.0928, 0.1471, 0.051, 0.0078, 0.0526, 0.0393, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 50.0]), label=1.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 51.0]), label=7.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=6.0, features=DenseVector([27.0, 43.0, 41.0]), label=1.0, probability=DenseVector([0.0916, 0.0826, 0.0397, 0.0338, 0.0572, 0.0169, 0.4415, 0.0218, 0.027, 0.0707, 0.0825, 0.0057, 0.027, 0.0018]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=7.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([27.0, 43.0, 53.0]), label=3.0, probability=DenseVector([0.0457, 0.1348, 0.1687, 0.2116, 0.0113, 0.0173, 0.0318, 0.0903, 0.1445, 0.0475, 0.0078, 0.0507, 0.0353, 0.003]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 57.0]), label=2.0, probability=DenseVector([0.0408, 0.1321, 0.1738, 0.1717, 0.0173, 0.0093, 0.0367, 0.0771, 0.15, 0.0857, 0.0125, 0.0459, 0.0422, 0.005]))
Row(prediction=6.0, features=DenseVector([27.0, 46.0, 42.0]), label=1.0, probability=DenseVector([0.071, 0.0912, 0.1925, 0.0852, 0.0414, 0.0103, 0.2314, 0.0519, 0.0798, 0.0619, 0.0329, 0.0204, 0.0219, 0.0084]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 49.0]), label=12.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 50.0]), label=2.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 51.0]), label=2.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=6.0, features=DenseVector([27.0, 47.0, 31.0]), label=1.0, probability=DenseVector([0.1088, 0.0524, 0.0146, 0.0137, 0.045, 0.0072, 0.5986, 0.0134, 0.0202, 0.0535, 0.0523, 0.0027, 0.0174, 0.0004]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 49.0]), label=8.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 50.0]), label=2.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=6.0, features=DenseVector([27.0, 48.0, 42.0]), label=3.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 45.0]), label=8.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 49.0]), label=2.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 42.0]), label=2.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=6.0, features=DenseVector([27.0, 50.0, 42.0]), label=2.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 43.0]), label=12.0, probability=DenseVector([0.0437, 0.0889, 0.2628, 0.1069, 0.0283, 0.0108, 0.1627, 0.0614, 0.1017, 0.0562, 0.0176, 0.0251, 0.0214, 0.0125]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 50.0, 48.0]), label=3.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 36.0]), label=1.0, probability=DenseVector([0.0737, 0.0344, 0.0248, 0.0336, 0.0257, 0.0, 0.6731, 0.0168, 0.0427, 0.0406, 0.0095, 0.0071, 0.0179, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 51.0, 40.0]), label=2.0, probability=DenseVector([0.0673, 0.0328, 0.0728, 0.0413, 0.0293, 0.0001, 0.5654, 0.027, 0.0663, 0.0507, 0.0144, 0.0169, 0.0151, 0.0005]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 42.0]), label=2.0, probability=DenseVector([0.0406, 0.0775, 0.2836, 0.1085, 0.0303, 0.0104, 0.1779, 0.0546, 0.0869, 0.0642, 0.0162, 0.0214, 0.0182, 0.0098]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([27.0, 51.0, 46.0]), label=3.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([27.0, 52.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([27.0, 53.0, 44.0]), label=2.0, probability=DenseVector([0.0343, 0.0785, 0.3111, 0.116, 0.0256, 0.0042, 0.1271, 0.0586, 0.1009, 0.0688, 0.0176, 0.0264, 0.0181, 0.013]))
Row(prediction=2.0, features=DenseVector([27.0, 53.0, 48.0]), label=3.0, probability=DenseVector([0.0321, 0.0902, 0.2541, 0.144, 0.0287, 0.0042, 0.0939, 0.0663, 0.1113, 0.0962, 0.0186, 0.0289, 0.0235, 0.0079]))
Row(prediction=3.0, features=DenseVector([28.0, 11.0, 42.0]), label=1.0, probability=DenseVector([0.0184, 0.2312, 0.0162, 0.2708, 0.0106, 0.1737, 0.1167, 0.0266, 0.0276, 0.025, 0.0081, 0.0083, 0.0657, 0.0011]))
Row(prediction=3.0, features=DenseVector([28.0, 12.0, 42.0]), label=1.0, probability=DenseVector([0.0184, 0.2312, 0.0162, 0.2708, 0.0106, 0.1737, 0.1167, 0.0266, 0.0276, 0.025, 0.0081, 0.0083, 0.0657, 0.0011]))
Row(prediction=3.0, features=DenseVector([28.0, 14.0, 45.0]), label=3.0, probability=DenseVector([0.0196, 0.2474, 0.03, 0.3994, 0.008, 0.0398, 0.0577, 0.0395, 0.0422, 0.0231, 0.0028, 0.0145, 0.0733, 0.0026]))
Row(prediction=3.0, features=DenseVector([28.0, 17.0, 45.0]), label=3.0, probability=DenseVector([0.0196, 0.2474, 0.03, 0.3994, 0.008, 0.0398, 0.0577, 0.0395, 0.0422, 0.0231, 0.0028, 0.0145, 0.0733, 0.0026]))
Row(prediction=3.0, features=DenseVector([28.0, 19.0, 46.0]), label=12.0, probability=DenseVector([0.0189, 0.2395, 0.0305, 0.4152, 0.0069, 0.0391, 0.0473, 0.0413, 0.0444, 0.0237, 0.0027, 0.0152, 0.0725, 0.0027]))
Row(prediction=1.0, features=DenseVector([28.0, 20.0, 14.0]), label=1.0, probability=DenseVector([0.0053, 0.3382, 0.0002, 0.1447, 0.015, 0.1732, 0.169, 0.0009, 0.0028, 0.0968, 0.0073, 0.0003, 0.0463, 0.0]))
Row(prediction=3.0, features=DenseVector([28.0, 20.0, 44.0]), label=12.0, probability=DenseVector([0.0191, 0.247, 0.03, 0.3561, 0.0081, 0.0676, 0.0721, 0.0395, 0.0422, 0.0244, 0.0028, 0.0142, 0.0741, 0.0026]))
Row(prediction=3.0, features=DenseVector([28.0, 20.0, 50.0]), label=12.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([28.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=3.0, features=DenseVector([28.0, 21.0, 49.0]), label=3.0, probability=DenseVector([0.0143, 0.1982, 0.0304, 0.4654, 0.0034, 0.0175, 0.0249, 0.0587, 0.0652, 0.0269, 0.0015, 0.0234, 0.0694, 0.0008]))
Row(prediction=6.0, features=DenseVector([28.0, 22.0, 12.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 22.0, 13.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 22.0, 13.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 22.0, 13.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([28.0, 22.0, 14.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=3.0, features=DenseVector([28.0, 22.0, 48.0]), label=2.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 25.0, 51.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 50.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 26.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 27.0, 54.0]), label=12.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 28.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 28.0, 54.0]), label=3.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 29.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 29.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 29.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 29.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 52.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 51.0]), label=12.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=12.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=1.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 49.0]), label=1.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=1.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 47.0]), label=1.0, probability=DenseVector([0.0414, 0.1763, 0.1112, 0.2516, 0.015, 0.0208, 0.0467, 0.0925, 0.1106, 0.0366, 0.0083, 0.0297, 0.0545, 0.0049]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 55.0]), label=3.0, probability=DenseVector([0.0249, 0.1785, 0.0883, 0.2611, 0.008, 0.0198, 0.0202, 0.1034, 0.1432, 0.0504, 0.0045, 0.0446, 0.0512, 0.0018]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 43.0]), label=1.0, probability=DenseVector([0.0491, 0.1573, 0.1225, 0.1826, 0.0215, 0.0249, 0.097, 0.0938, 0.1157, 0.0407, 0.0138, 0.0319, 0.0453, 0.0039]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 50.0]), label=12.0, probability=DenseVector([0.0347, 0.1507, 0.1148, 0.2612, 0.0106, 0.0262, 0.0325, 0.1063, 0.1319, 0.0356, 0.0062, 0.0411, 0.0454, 0.0028]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=12.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 36.0, 54.0]), label=11.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 47.0]), label=8.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 54.0]), label=3.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 55.0]), label=7.0, probability=DenseVector([0.0319, 0.1741, 0.1088, 0.2077, 0.0095, 0.0239, 0.023, 0.1131, 0.1528, 0.0521, 0.0053, 0.0498, 0.0463, 0.0017]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 54.0]), label=2.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 55.0]), label=2.0, probability=DenseVector([0.0319, 0.1741, 0.1088, 0.2077, 0.0095, 0.0239, 0.023, 0.1131, 0.1528, 0.0521, 0.0053, 0.0498, 0.0463, 0.0017]))
Row(prediction=6.0, features=DenseVector([28.0, 39.0, 41.0]), label=12.0, probability=DenseVector([0.0727, 0.0969, 0.0343, 0.0614, 0.0472, 0.0178, 0.4257, 0.0286, 0.0363, 0.0636, 0.0752, 0.008, 0.0303, 0.0017]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 47.0]), label=7.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 53.0]), label=11.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 48.0]), label=12.0, probability=DenseVector([0.0418, 0.1174, 0.1924, 0.2019, 0.0127, 0.0173, 0.0424, 0.0898, 0.1439, 0.0428, 0.0085, 0.0437, 0.0413, 0.004]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 49.0]), label=0.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 53.0]), label=11.0, probability=DenseVector([0.0464, 0.1374, 0.1605, 0.2148, 0.0106, 0.0173, 0.0295, 0.0936, 0.1454, 0.0453, 0.0074, 0.0519, 0.0369, 0.003]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 49.0]), label=12.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=6.0, features=DenseVector([28.0, 42.0, 42.0]), label=4.0, probability=DenseVector([0.0678, 0.1163, 0.1545, 0.1023, 0.0424, 0.022, 0.1887, 0.0585, 0.088, 0.0544, 0.0506, 0.0224, 0.0276, 0.0044]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 48.0]), label=8.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=11.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([28.0, 43.0, 53.0]), label=3.0, probability=DenseVector([0.0457, 0.1348, 0.1687, 0.2116, 0.0113, 0.0173, 0.0318, 0.0903, 0.1445, 0.0475, 0.0078, 0.0507, 0.0353, 0.003]))
Row(prediction=6.0, features=DenseVector([28.0, 44.0, 36.0]), label=4.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=7.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 50.0]), label=0.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 51.0]), label=12.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=6.0, features=DenseVector([28.0, 45.0, 41.0]), label=2.0, probability=DenseVector([0.0975, 0.0809, 0.0539, 0.0251, 0.0542, 0.0074, 0.4592, 0.0235, 0.0295, 0.0699, 0.0651, 0.0062, 0.0254, 0.0023]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 44.0]), label=3.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 50.0]), label=8.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=3.0, features=DenseVector([28.0, 45.0, 54.0]), label=12.0, probability=DenseVector([0.0437, 0.1358, 0.1865, 0.189, 0.0121, 0.0124, 0.0352, 0.0861, 0.1444, 0.0548, 0.0085, 0.0505, 0.0353, 0.0057]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 50.0]), label=2.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 54.0]), label=3.0, probability=DenseVector([0.036, 0.129, 0.2168, 0.17, 0.0142, 0.0106, 0.0485, 0.0819, 0.1364, 0.0634, 0.0095, 0.0425, 0.031, 0.0101]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 48.0]), label=12.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=6.0, features=DenseVector([28.0, 48.0, 38.0]), label=10.0, probability=DenseVector([0.0908, 0.046, 0.0323, 0.0305, 0.0365, 0.0, 0.5987, 0.0197, 0.0404, 0.0505, 0.0294, 0.0072, 0.0176, 0.0005]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 52.0]), label=1.0, probability=DenseVector([0.0297, 0.1189, 0.2137, 0.1817, 0.0158, 0.0109, 0.0514, 0.0769, 0.1336, 0.078, 0.0087, 0.0385, 0.0318, 0.01]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 45.0]), label=8.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 46.0]), label=1.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 48.0]), label=2.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 49.0]), label=2.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 56.0]), label=3.0, probability=DenseVector([0.0276, 0.1272, 0.1943, 0.1317, 0.0295, 0.0064, 0.0485, 0.0659, 0.1294, 0.1333, 0.0141, 0.0372, 0.0456, 0.0092]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 42.0]), label=2.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 47.0]), label=2.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 39.0]), label=2.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 39.0]), label=2.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 39.0]), label=2.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 51.0, 41.0]), label=2.0, probability=DenseVector([0.0623, 0.0475, 0.1107, 0.0455, 0.0353, 0.0002, 0.4884, 0.0343, 0.0707, 0.0522, 0.0156, 0.0182, 0.017, 0.0021]))
Row(prediction=2.0, features=DenseVector([28.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0383, 0.0777, 0.2906, 0.1121, 0.0281, 0.0104, 0.1724, 0.0541, 0.0868, 0.0638, 0.0158, 0.0214, 0.0177, 0.0108]))
Row(prediction=2.0, features=DenseVector([28.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([28.0, 51.0, 46.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([28.0, 51.0, 46.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 39.0]), label=2.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 39.0]), label=2.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([28.0, 52.0, 39.0]), label=2.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([28.0, 52.0, 47.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([28.0, 52.0, 47.0]), label=2.0, probability=DenseVector([0.0293, 0.0807, 0.3373, 0.1204, 0.0193, 0.0042, 0.108, 0.0623, 0.104, 0.0641, 0.0127, 0.0271, 0.0175, 0.0131]))
Row(prediction=2.0, features=DenseVector([28.0, 53.0, 45.0]), label=2.0, probability=DenseVector([0.0343, 0.0785, 0.3111, 0.116, 0.0256, 0.0042, 0.1271, 0.0586, 0.1009, 0.0688, 0.0176, 0.0264, 0.0181, 0.013]))
Row(prediction=2.0, features=DenseVector([28.0, 53.0, 49.0]), label=3.0, probability=DenseVector([0.0321, 0.0902, 0.2541, 0.144, 0.0287, 0.0042, 0.0939, 0.0663, 0.1113, 0.0962, 0.0186, 0.0289, 0.0235, 0.0079]))
Row(prediction=6.0, features=DenseVector([28.0, 54.0, 37.0]), label=7.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([28.0, 55.0, 46.0]), label=2.0, probability=DenseVector([0.0354, 0.0794, 0.2977, 0.1114, 0.0264, 0.0042, 0.1436, 0.0582, 0.1006, 0.0683, 0.0169, 0.0262, 0.0187, 0.0129]))
Row(prediction=2.0, features=DenseVector([28.0, 55.0, 49.0]), label=4.0, probability=DenseVector([0.0319, 0.0897, 0.2392, 0.1411, 0.0319, 0.0042, 0.089, 0.0664, 0.1119, 0.1163, 0.0184, 0.0285, 0.0245, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 56.0, 44.0]), label=1.0, probability=DenseVector([0.0365, 0.0781, 0.2805, 0.1094, 0.0294, 0.0041, 0.1576, 0.057, 0.1008, 0.0717, 0.0172, 0.0258, 0.0194, 0.0123]))
Row(prediction=2.0, features=DenseVector([28.0, 56.0, 46.0]), label=2.0, probability=DenseVector([0.0365, 0.0781, 0.2805, 0.1094, 0.0294, 0.0041, 0.1576, 0.057, 0.1008, 0.0717, 0.0172, 0.0258, 0.0194, 0.0123]))
Row(prediction=6.0, features=DenseVector([28.0, 59.0, 39.0]), label=12.0, probability=DenseVector([0.0539, 0.0273, 0.0232, 0.0266, 0.02, 0.0, 0.7332, 0.0124, 0.0344, 0.0412, 0.0093, 0.0056, 0.0128, 0.0001]))
Row(prediction=5.0, features=DenseVector([29.0, 12.0, 41.0]), label=1.0, probability=DenseVector([0.0131, 0.1445, 0.0021, 0.1333, 0.0084, 0.4969, 0.1029, 0.0091, 0.0095, 0.0353, 0.0087, 0.0018, 0.0345, 0.0]))
Row(prediction=3.0, features=DenseVector([29.0, 20.0, 48.0]), label=3.0, probability=DenseVector([0.0138, 0.1971, 0.0406, 0.4582, 0.0036, 0.0253, 0.0241, 0.0564, 0.064, 0.0263, 0.0016, 0.0211, 0.0665, 0.0013]))
Row(prediction=3.0, features=DenseVector([29.0, 21.0, 48.0]), label=3.0, probability=DenseVector([0.0138, 0.1971, 0.0406, 0.4582, 0.0036, 0.0253, 0.0241, 0.0564, 0.064, 0.0263, 0.0016, 0.0211, 0.0665, 0.0013]))
Row(prediction=6.0, features=DenseVector([29.0, 23.0, 14.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 24.0, 12.0]), label=1.0, probability=DenseVector([0.0418, 0.2704, 0.006, 0.0434, 0.0313, 0.0218, 0.402, 0.0073, 0.0074, 0.0879, 0.0492, 0.0011, 0.0303, 0.0002]))
Row(prediction=3.0, features=DenseVector([29.0, 24.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 50.0]), label=1.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 26.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 52.0]), label=12.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 53.0]), label=12.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 53.0]), label=12.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 28.0, 55.0]), label=1.0, probability=DenseVector([0.0102, 0.1807, 0.0491, 0.3781, 0.0037, 0.0169, 0.0146, 0.0666, 0.0869, 0.0703, 0.0012, 0.0372, 0.0828, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 51.0]), label=1.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 52.0]), label=1.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 50.0]), label=12.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 52.0]), label=12.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 53.0]), label=12.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 53.0]), label=1.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 30.0, 54.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 51.0]), label=12.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 52.0]), label=12.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 52.0]), label=1.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 31.0, 54.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 50.0]), label=1.0, probability=DenseVector([0.0167, 0.1795, 0.0534, 0.4264, 0.0048, 0.0279, 0.0235, 0.0667, 0.0774, 0.0288, 0.0026, 0.0254, 0.0644, 0.0025]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=12.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=12.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 56.0]), label=3.0, probability=DenseVector([0.0102, 0.1874, 0.052, 0.3823, 0.0037, 0.0166, 0.0153, 0.0679, 0.0907, 0.0529, 0.0012, 0.0401, 0.078, 0.0017]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 54.0]), label=8.0, probability=DenseVector([0.0121, 0.1833, 0.0562, 0.3974, 0.0036, 0.0187, 0.0161, 0.0781, 0.0985, 0.0357, 0.0017, 0.0343, 0.062, 0.0024]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 51.0]), label=11.0, probability=DenseVector([0.0293, 0.1345, 0.1401, 0.2734, 0.0094, 0.0425, 0.0251, 0.0976, 0.1312, 0.0358, 0.0059, 0.0353, 0.0362, 0.0038]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0293, 0.1345, 0.1401, 0.2734, 0.0094, 0.0425, 0.0251, 0.0976, 0.1312, 0.0358, 0.0059, 0.0353, 0.0362, 0.0038]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 51.0]), label=7.0, probability=DenseVector([0.0293, 0.1345, 0.1401, 0.2734, 0.0094, 0.0425, 0.0251, 0.0976, 0.1312, 0.0358, 0.0059, 0.0353, 0.0362, 0.0038]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=12.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=12.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.0292, 0.1512, 0.1335, 0.2385, 0.0083, 0.0371, 0.0173, 0.1098, 0.1476, 0.042, 0.005, 0.0439, 0.0337, 0.003]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 59.0]), label=3.0, probability=DenseVector([0.0274, 0.1553, 0.1257, 0.2222, 0.0093, 0.0361, 0.0189, 0.105, 0.1504, 0.0569, 0.0068, 0.0432, 0.0403, 0.0024]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 47.0]), label=1.0, probability=DenseVector([0.044, 0.1553, 0.1612, 0.1958, 0.0172, 0.021, 0.0523, 0.0952, 0.1218, 0.0408, 0.0102, 0.0326, 0.044, 0.0085]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 51.0]), label=10.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=10.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 57.0]), label=10.0, probability=DenseVector([0.0274, 0.1553, 0.1257, 0.2222, 0.0093, 0.0361, 0.0189, 0.105, 0.1504, 0.0569, 0.0068, 0.0432, 0.0403, 0.0024]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 48.0]), label=7.0, probability=DenseVector([0.0355, 0.1329, 0.1509, 0.2419, 0.0126, 0.0369, 0.0307, 0.1038, 0.1313, 0.0384, 0.0074, 0.0373, 0.0366, 0.0038]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 51.0]), label=7.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 54.0]), label=2.0, probability=DenseVector([0.0292, 0.1512, 0.1335, 0.2385, 0.0083, 0.0371, 0.0173, 0.1098, 0.1476, 0.042, 0.005, 0.0439, 0.0337, 0.003]))
Row(prediction=6.0, features=DenseVector([29.0, 39.0, 36.0]), label=3.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=6.0, features=DenseVector([29.0, 39.0, 42.0]), label=1.0, probability=DenseVector([0.0574, 0.1375, 0.1138, 0.1463, 0.0356, 0.0217, 0.1723, 0.0702, 0.0868, 0.0473, 0.0423, 0.0232, 0.0389, 0.0067]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0355, 0.1329, 0.1509, 0.2419, 0.0126, 0.0369, 0.0307, 0.1038, 0.1313, 0.0384, 0.0074, 0.0373, 0.0366, 0.0038]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 54.0]), label=4.0, probability=DenseVector([0.0385, 0.1128, 0.1872, 0.23, 0.0124, 0.0431, 0.0227, 0.0872, 0.1437, 0.0435, 0.0073, 0.0381, 0.0281, 0.0054]))
Row(prediction=2.0, features=DenseVector([29.0, 41.0, 44.0]), label=2.0, probability=DenseVector([0.0484, 0.1131, 0.2289, 0.1577, 0.0213, 0.0178, 0.0556, 0.0739, 0.1257, 0.0586, 0.0151, 0.0378, 0.0355, 0.0105]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 48.0]), label=2.0, probability=DenseVector([0.0372, 0.1016, 0.2124, 0.2168, 0.0124, 0.0361, 0.0356, 0.0832, 0.1385, 0.042, 0.0084, 0.037, 0.0316, 0.0072]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=7.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=11.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 46.0]), label=12.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 49.0]), label=7.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=11.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=3.0, features=DenseVector([29.0, 42.0, 62.0]), label=10.0, probability=DenseVector([0.0374, 0.1157, 0.1706, 0.2066, 0.017, 0.0331, 0.0255, 0.0785, 0.1495, 0.0763, 0.0111, 0.0387, 0.0362, 0.0038]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 44.0]), label=1.0, probability=DenseVector([0.0444, 0.0973, 0.2424, 0.1607, 0.0208, 0.0178, 0.0556, 0.0737, 0.1293, 0.0603, 0.0148, 0.0395, 0.0325, 0.0108]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 45.0]), label=8.0, probability=DenseVector([0.0444, 0.0973, 0.2424, 0.1607, 0.0208, 0.0178, 0.0556, 0.0737, 0.1293, 0.0603, 0.0148, 0.0395, 0.0325, 0.0108]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 48.0]), label=7.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=11.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 43.0, 51.0]), label=10.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=3.0, features=DenseVector([29.0, 43.0, 62.0]), label=2.0, probability=DenseVector([0.0374, 0.1157, 0.1706, 0.2066, 0.017, 0.0331, 0.0255, 0.0785, 0.1495, 0.0763, 0.0111, 0.0387, 0.0362, 0.0038]))
Row(prediction=6.0, features=DenseVector([29.0, 44.0, 32.0]), label=3.0, probability=DenseVector([0.1035, 0.0548, 0.0133, 0.0101, 0.0488, 0.0072, 0.567, 0.0112, 0.0144, 0.0673, 0.0799, 0.002, 0.02, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 44.0, 38.0]), label=1.0, probability=DenseVector([0.1046, 0.0543, 0.0154, 0.0117, 0.0492, 0.0072, 0.5546, 0.0111, 0.0167, 0.0705, 0.0807, 0.0023, 0.0213, 0.0003]))
Row(prediction=6.0, features=DenseVector([29.0, 44.0, 42.0]), label=2.0, probability=DenseVector([0.0727, 0.0902, 0.1692, 0.1106, 0.0413, 0.0184, 0.1995, 0.0509, 0.0825, 0.0679, 0.0359, 0.0261, 0.0259, 0.0089]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0379, 0.0973, 0.224, 0.204, 0.0133, 0.0362, 0.0374, 0.0821, 0.1412, 0.0438, 0.009, 0.0372, 0.0288, 0.0075]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=7.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=11.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 51.0]), label=2.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=3.0, features=DenseVector([29.0, 44.0, 52.0]), label=8.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=6.0, features=DenseVector([29.0, 45.0, 41.0]), label=2.0, probability=DenseVector([0.0967, 0.0768, 0.0525, 0.0293, 0.0552, 0.0079, 0.4473, 0.0209, 0.0278, 0.0807, 0.0671, 0.0098, 0.0248, 0.0032]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 44.0]), label=3.0, probability=DenseVector([0.0417, 0.0922, 0.2725, 0.1435, 0.0211, 0.0077, 0.0635, 0.0706, 0.1285, 0.0626, 0.0146, 0.0387, 0.0289, 0.0138]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=11.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0394, 0.0933, 0.2775, 0.1515, 0.0173, 0.0137, 0.0604, 0.0734, 0.1318, 0.0504, 0.0115, 0.0355, 0.0288, 0.0153]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 50.0]), label=12.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0339, 0.0931, 0.2472, 0.199, 0.0128, 0.0267, 0.0427, 0.0787, 0.1398, 0.0454, 0.0084, 0.037, 0.025, 0.0103]))
Row(prediction=3.0, features=DenseVector([29.0, 45.0, 53.0]), label=11.0, probability=DenseVector([0.0363, 0.1094, 0.2071, 0.2205, 0.0126, 0.0382, 0.0263, 0.0838, 0.142, 0.0452, 0.0075, 0.0372, 0.0258, 0.0082]))
Row(prediction=3.0, features=DenseVector([29.0, 45.0, 53.0]), label=11.0, probability=DenseVector([0.0363, 0.1094, 0.2071, 0.2205, 0.0126, 0.0382, 0.0263, 0.0838, 0.142, 0.0452, 0.0075, 0.0372, 0.0258, 0.0082]))
Row(prediction=3.0, features=DenseVector([29.0, 45.0, 53.0]), label=7.0, probability=DenseVector([0.0363, 0.1094, 0.2071, 0.2205, 0.0126, 0.0382, 0.0263, 0.0838, 0.142, 0.0452, 0.0075, 0.0372, 0.0258, 0.0082]))
Row(prediction=6.0, features=DenseVector([29.0, 46.0, 38.0]), label=0.0, probability=DenseVector([0.1085, 0.0563, 0.0174, 0.0152, 0.0494, 0.0072, 0.548, 0.012, 0.02, 0.067, 0.0737, 0.0034, 0.0217, 0.0003]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=6.0, features=DenseVector([29.0, 47.0, 38.0]), label=1.0, probability=DenseVector([0.1063, 0.0549, 0.0219, 0.0207, 0.0462, 0.0072, 0.553, 0.0135, 0.0267, 0.0674, 0.0555, 0.0046, 0.0218, 0.0004]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 49.0]), label=8.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=6.0, features=DenseVector([29.0, 49.0, 37.0]), label=7.0, probability=DenseVector([0.0856, 0.0424, 0.0349, 0.0326, 0.0346, 0.0, 0.6032, 0.0195, 0.044, 0.0506, 0.0275, 0.0075, 0.0172, 0.0005]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 44.0]), label=12.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 49.0, 48.0]), label=2.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0387, 0.0802, 0.287, 0.1173, 0.025, 0.0111, 0.1498, 0.058, 0.0979, 0.0543, 0.0165, 0.0239, 0.019, 0.0213]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 45.0]), label=7.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 47.0]), label=2.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0333, 0.069, 0.3147, 0.1224, 0.0249, 0.0107, 0.1595, 0.0508, 0.0829, 0.0619, 0.0148, 0.0202, 0.0154, 0.0196]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0282, 0.0716, 0.3477, 0.1294, 0.0189, 0.0046, 0.1069, 0.0581, 0.0978, 0.0616, 0.0126, 0.0243, 0.0163, 0.0219]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0282, 0.0716, 0.3477, 0.1294, 0.0189, 0.0046, 0.1069, 0.0581, 0.0978, 0.0616, 0.0126, 0.0243, 0.0163, 0.0219]))
Row(prediction=2.0, features=DenseVector([29.0, 51.0, 46.0]), label=2.0, probability=DenseVector([0.0282, 0.0716, 0.3477, 0.1294, 0.0189, 0.0046, 0.1069, 0.0581, 0.0978, 0.0616, 0.0126, 0.0243, 0.0163, 0.0219]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 37.0]), label=2.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 38.0]), label=2.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=2.0, features=DenseVector([29.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0366, 0.0689, 0.2976, 0.1151, 0.0282, 0.0104, 0.1795, 0.0508, 0.0825, 0.0638, 0.0153, 0.0215, 0.0159, 0.0138]))
Row(prediction=2.0, features=DenseVector([29.0, 52.0, 44.0]), label=2.0, probability=DenseVector([0.0282, 0.0716, 0.3477, 0.1294, 0.0189, 0.0046, 0.1069, 0.0581, 0.0978, 0.0616, 0.0126, 0.0243, 0.0163, 0.0219]))
Row(prediction=2.0, features=DenseVector([29.0, 54.0, 44.0]), label=2.0, probability=DenseVector([0.0343, 0.0704, 0.3081, 0.1205, 0.0259, 0.0045, 0.1425, 0.054, 0.0944, 0.0659, 0.0168, 0.0235, 0.0176, 0.0217]))
Row(prediction=6.0, features=DenseVector([29.0, 57.0, 35.0]), label=4.0, probability=DenseVector([0.0504, 0.0284, 0.0172, 0.0233, 0.0181, 0.0, 0.7588, 0.0113, 0.0303, 0.0377, 0.0071, 0.0047, 0.0124, 0.0001]))
Row(prediction=6.0, features=DenseVector([29.0, 57.0, 40.0]), label=10.0, probability=DenseVector([0.054, 0.033, 0.0482, 0.0342, 0.0251, 0.0001, 0.6664, 0.0156, 0.0385, 0.0513, 0.0104, 0.0085, 0.013, 0.0017]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 50.0]), label=3.0, probability=DenseVector([0.0127, 0.177, 0.0537, 0.3859, 0.0046, 0.1132, 0.0169, 0.0542, 0.0644, 0.0348, 0.0026, 0.0223, 0.0552, 0.0026]))
Row(prediction=3.0, features=DenseVector([30.0, 20.0, 57.0]), label=12.0, probability=DenseVector([0.0087, 0.1813, 0.0458, 0.3487, 0.0028, 0.028, 0.0123, 0.0598, 0.0769, 0.1224, 0.0011, 0.0303, 0.08, 0.0018]))
Row(prediction=3.0, features=DenseVector([30.0, 21.0, 44.0]), label=12.0, probability=DenseVector([0.0082, 0.1931, 0.04, 0.2972, 0.0054, 0.2263, 0.0416, 0.0294, 0.0331, 0.0471, 0.0027, 0.0153, 0.0578, 0.0028]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 49.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 22.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 23.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 23.0, 50.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 49.0]), label=1.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 26.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 27.0, 47.0]), label=7.0, probability=DenseVector([0.0213, 0.1886, 0.0831, 0.3372, 0.0121, 0.0486, 0.0386, 0.0507, 0.0607, 0.0514, 0.0077, 0.022, 0.0651, 0.0131]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 51.0]), label=12.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 52.0]), label=7.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 29.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 51.0]), label=12.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 52.0]), label=12.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 54.0]), label=1.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 55.0]), label=3.0, probability=DenseVector([0.009, 0.1888, 0.0516, 0.3827, 0.0035, 0.0215, 0.0138, 0.0668, 0.0887, 0.0531, 0.0011, 0.0407, 0.0768, 0.0019]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 55.0]), label=3.0, probability=DenseVector([0.009, 0.1888, 0.0516, 0.3827, 0.0035, 0.0215, 0.0138, 0.0668, 0.0887, 0.0531, 0.0011, 0.0407, 0.0768, 0.0019]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=12.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 51.0]), label=12.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=12.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 54.0]), label=7.0, probability=DenseVector([0.0113, 0.1754, 0.0611, 0.4083, 0.0035, 0.0251, 0.0129, 0.0748, 0.0981, 0.0352, 0.0015, 0.0333, 0.0562, 0.0034]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 51.0]), label=1.0, probability=DenseVector([0.0288, 0.1091, 0.1629, 0.2582, 0.0118, 0.091, 0.0169, 0.0874, 0.1222, 0.0377, 0.0082, 0.0292, 0.0293, 0.0071]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0288, 0.1091, 0.1629, 0.2582, 0.0118, 0.091, 0.0169, 0.0874, 0.1222, 0.0377, 0.0082, 0.0292, 0.0293, 0.0071]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=2.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 54.0]), label=1.0, probability=DenseVector([0.0251, 0.1065, 0.1708, 0.2597, 0.0075, 0.0639, 0.0098, 0.1022, 0.1469, 0.0403, 0.0049, 0.0338, 0.0235, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 54.0]), label=7.0, probability=DenseVector([0.0251, 0.1065, 0.1708, 0.2597, 0.0075, 0.0639, 0.0098, 0.1022, 0.1469, 0.0403, 0.0049, 0.0338, 0.0235, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.0251, 0.1065, 0.1708, 0.2597, 0.0075, 0.0639, 0.0098, 0.1022, 0.1469, 0.0403, 0.0049, 0.0338, 0.0235, 0.0051]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 56.0]), label=3.0, probability=DenseVector([0.0272, 0.098, 0.1825, 0.2468, 0.0117, 0.0764, 0.0096, 0.0971, 0.1371, 0.048, 0.0056, 0.0315, 0.0235, 0.0048]))
Row(prediction=2.0, features=DenseVector([30.0, 37.0, 46.0]), label=4.0, probability=DenseVector([0.0367, 0.1042, 0.1945, 0.1927, 0.0187, 0.0723, 0.0391, 0.0829, 0.1106, 0.0546, 0.0128, 0.028, 0.0334, 0.0196]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 54.0]), label=7.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 54.0]), label=7.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 55.0]), label=2.0, probability=DenseVector([0.0272, 0.098, 0.1825, 0.2468, 0.0117, 0.0764, 0.0096, 0.0971, 0.1371, 0.048, 0.0056, 0.0315, 0.0235, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0338, 0.1084, 0.1669, 0.2389, 0.0143, 0.086, 0.0198, 0.0933, 0.1218, 0.0395, 0.0093, 0.0317, 0.0295, 0.0069]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 50.0]), label=11.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=7.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=10.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0338, 0.1084, 0.1669, 0.2389, 0.0143, 0.086, 0.0198, 0.0933, 0.1218, 0.0395, 0.0093, 0.0317, 0.0295, 0.0069]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 50.0]), label=12.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=10.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 48.0]), label=11.0, probability=DenseVector([0.035, 0.0853, 0.2124, 0.2277, 0.0159, 0.0678, 0.0295, 0.0748, 0.1208, 0.0415, 0.0102, 0.028, 0.0261, 0.0249]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=10.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 53.0]), label=7.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 54.0]), label=8.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.035, 0.0853, 0.2124, 0.2277, 0.0159, 0.0678, 0.0295, 0.0748, 0.1208, 0.0415, 0.0102, 0.028, 0.0261, 0.0249]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=6.0, features=DenseVector([30.0, 42.0, 29.0]), label=1.0, probability=DenseVector([0.07, 0.0611, 0.0066, 0.0073, 0.0437, 0.0044, 0.6251, 0.0084, 0.0106, 0.0545, 0.0872, 0.0013, 0.0197, 0.0002]))
Row(prediction=2.0, features=DenseVector([30.0, 42.0, 46.0]), label=2.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=2.0, features=DenseVector([30.0, 42.0, 47.0]), label=10.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 49.0]), label=11.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 49.0]), label=11.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=11.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=11.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=7.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 48.0]), label=7.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 49.0]), label=11.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0839, 0.2062, 0.2527, 0.0132, 0.074, 0.0168, 0.0827, 0.1256, 0.0401, 0.0071, 0.0265, 0.0232, 0.0132]))
Row(prediction=2.0, features=DenseVector([30.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.039, 0.0891, 0.2425, 0.1885, 0.0187, 0.0435, 0.0476, 0.0711, 0.1146, 0.0467, 0.0119, 0.0284, 0.0301, 0.0283]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 48.0]), label=1.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=7.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 51.0]), label=11.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 51.0]), label=7.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 55.0]), label=11.0, probability=DenseVector([0.0354, 0.0863, 0.1989, 0.2446, 0.0145, 0.0697, 0.0185, 0.0803, 0.1285, 0.0509, 0.0075, 0.0274, 0.0251, 0.0124]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 43.0]), label=2.0, probability=DenseVector([0.055, 0.0894, 0.2167, 0.138, 0.0327, 0.0276, 0.1188, 0.0581, 0.0925, 0.0672, 0.0257, 0.0269, 0.0273, 0.0242]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 44.0]), label=3.0, probability=DenseVector([0.0387, 0.0828, 0.2676, 0.1633, 0.0227, 0.0274, 0.0586, 0.0652, 0.1104, 0.0612, 0.0149, 0.0309, 0.0265, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=12.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=8.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=3.0, features=DenseVector([30.0, 45.0, 63.0]), label=12.0, probability=DenseVector([0.0328, 0.0852, 0.213, 0.2263, 0.0173, 0.0594, 0.0227, 0.0744, 0.1281, 0.0644, 0.0091, 0.0271, 0.0259, 0.0144]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 43.0]), label=2.0, probability=DenseVector([0.0486, 0.0859, 0.2647, 0.1193, 0.0288, 0.0125, 0.138, 0.0567, 0.0906, 0.0598, 0.0221, 0.0225, 0.0214, 0.0289]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 46.0]), label=7.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=11.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 49.0]), label=7.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 50.0]), label=7.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 50.0]), label=8.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=6.0, features=DenseVector([30.0, 47.0, 38.0]), label=1.0, probability=DenseVector([0.1063, 0.0549, 0.0219, 0.0207, 0.0462, 0.0072, 0.553, 0.0135, 0.0267, 0.0674, 0.0555, 0.0046, 0.0218, 0.0004]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 46.0]), label=1.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=8.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=1.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 49.0]), label=2.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 49.0]), label=8.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=6.0, features=DenseVector([30.0, 48.0, 39.0]), label=1.0, probability=DenseVector([0.0816, 0.0461, 0.0475, 0.0482, 0.0352, 0.0001, 0.5446, 0.0158, 0.0606, 0.0593, 0.0258, 0.01, 0.0245, 0.0007]))
Row(prediction=6.0, features=DenseVector([30.0, 48.0, 42.0]), label=2.0, probability=DenseVector([0.0583, 0.0716, 0.2138, 0.0987, 0.0389, 0.0115, 0.2488, 0.0446, 0.071, 0.0578, 0.0274, 0.0185, 0.0181, 0.0208]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=7.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=7.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 48.0]), label=2.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0273, 0.0823, 0.2932, 0.1879, 0.0133, 0.0239, 0.0526, 0.0708, 0.1203, 0.0474, 0.0077, 0.0286, 0.0196, 0.025]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 43.0]), label=1.0, probability=DenseVector([0.0382, 0.0777, 0.283, 0.1235, 0.0256, 0.0124, 0.149, 0.0554, 0.0919, 0.055, 0.0169, 0.0222, 0.0192, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=7.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=6.0, features=DenseVector([30.0, 50.0, 41.0]), label=2.0, probability=DenseVector([0.0733, 0.0543, 0.0902, 0.0561, 0.039, 0.0002, 0.4856, 0.0252, 0.0625, 0.0563, 0.0243, 0.0118, 0.0178, 0.0034]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0382, 0.0777, 0.283, 0.1235, 0.0256, 0.0124, 0.149, 0.0554, 0.0919, 0.055, 0.0169, 0.0222, 0.0192, 0.0298]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 47.0]), label=2.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 50.0, 47.0]), label=1.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 42.0]), label=2.0, probability=DenseVector([0.0361, 0.0664, 0.2936, 0.1214, 0.0288, 0.0117, 0.1788, 0.0482, 0.0766, 0.0646, 0.0156, 0.0198, 0.0162, 0.0223]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0327, 0.0665, 0.3108, 0.1287, 0.0255, 0.012, 0.1587, 0.0482, 0.077, 0.0626, 0.0152, 0.0185, 0.0156, 0.0281]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 46.0]), label=2.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 48.0]), label=2.0, probability=DenseVector([0.026, 0.0695, 0.298, 0.178, 0.0192, 0.0183, 0.0805, 0.0604, 0.099, 0.0717, 0.011, 0.0225, 0.0176, 0.0281]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 37.0]), label=2.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 38.0]), label=2.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 39.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 43.0]), label=2.0, probability=DenseVector([0.0327, 0.0665, 0.3108, 0.1287, 0.0255, 0.012, 0.1587, 0.0482, 0.077, 0.0626, 0.0152, 0.0185, 0.0156, 0.0281]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 44.0]), label=2.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 44.0]), label=2.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 47.0]), label=2.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=2.0, features=DenseVector([30.0, 52.0, 48.0]), label=3.0, probability=DenseVector([0.026, 0.0695, 0.298, 0.178, 0.0192, 0.0183, 0.0805, 0.0604, 0.099, 0.0717, 0.011, 0.0225, 0.0176, 0.0281]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 38.0]), label=2.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([30.0, 53.0, 39.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 53.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.07, 0.2814, 0.1751, 0.0234, 0.0183, 0.078, 0.0605, 0.1009, 0.0866, 0.0126, 0.0221, 0.0176, 0.0277]))
Row(prediction=6.0, features=DenseVector([30.0, 55.0, 41.0]), label=10.0, probability=DenseVector([0.0559, 0.0452, 0.111, 0.0608, 0.0327, 0.0002, 0.4851, 0.0267, 0.0715, 0.0593, 0.0118, 0.02, 0.0156, 0.0043]))
Row(prediction=6.0, features=DenseVector([30.0, 57.0, 20.0]), label=1.0, probability=DenseVector([0.0402, 0.0254, 0.0091, 0.0153, 0.0149, 0.0, 0.8226, 0.0092, 0.0202, 0.0261, 0.0047, 0.0034, 0.0089, 0.0001]))
Row(prediction=5.0, features=DenseVector([31.0, 11.0, 43.0]), label=12.0, probability=DenseVector([0.0074, 0.1481, 0.0426, 0.1913, 0.009, 0.3826, 0.0323, 0.0211, 0.0255, 0.0738, 0.0053, 0.0127, 0.0461, 0.0022]))
Row(prediction=3.0, features=DenseVector([31.0, 23.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 24.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 25.0, 51.0]), label=3.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 27.0, 48.0]), label=3.0, probability=DenseVector([0.0155, 0.1613, 0.0826, 0.3479, 0.0116, 0.0907, 0.0191, 0.0515, 0.0618, 0.0581, 0.0075, 0.0231, 0.0531, 0.0161]))
Row(prediction=3.0, features=DenseVector([31.0, 27.0, 52.0]), label=8.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 48.0]), label=7.0, probability=DenseVector([0.0155, 0.1613, 0.0826, 0.3479, 0.0116, 0.0907, 0.0191, 0.0515, 0.0618, 0.0581, 0.0075, 0.0231, 0.0531, 0.0161]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 49.0]), label=3.0, probability=DenseVector([0.0163, 0.1643, 0.0926, 0.345, 0.0111, 0.1014, 0.0148, 0.0525, 0.0633, 0.0443, 0.0077, 0.025, 0.0527, 0.009]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 53.0]), label=8.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 50.0]), label=8.0, probability=DenseVector([0.0163, 0.1643, 0.0926, 0.345, 0.0111, 0.1014, 0.0148, 0.0525, 0.0633, 0.0443, 0.0077, 0.025, 0.0527, 0.009]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 52.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 51.0]), label=12.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 52.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 53.0]), label=8.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 54.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 58.0]), label=3.0, probability=DenseVector([0.007, 0.1918, 0.0521, 0.3781, 0.0034, 0.0345, 0.0118, 0.0657, 0.0834, 0.054, 0.0009, 0.0393, 0.0756, 0.0024]))
Row(prediction=6.0, features=DenseVector([31.0, 33.0, 41.0]), label=10.0, probability=DenseVector([0.067, 0.0966, 0.0427, 0.0464, 0.0508, 0.0508, 0.3894, 0.0163, 0.0242, 0.0964, 0.0752, 0.0071, 0.0347, 0.0024]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0163, 0.1643, 0.0926, 0.345, 0.0111, 0.1014, 0.0148, 0.0525, 0.0633, 0.0443, 0.0077, 0.025, 0.0527, 0.009]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=1.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0099, 0.1653, 0.0664, 0.3951, 0.0035, 0.0577, 0.011, 0.0733, 0.0935, 0.0338, 0.0014, 0.0312, 0.0536, 0.0043]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 51.0]), label=8.0, probability=DenseVector([0.0253, 0.1172, 0.164, 0.2351, 0.0135, 0.1314, 0.0118, 0.0756, 0.1017, 0.0489, 0.0097, 0.0281, 0.0311, 0.0064]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=7.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.0207, 0.1071, 0.1558, 0.2659, 0.0069, 0.0966, 0.0084, 0.0974, 0.1353, 0.0366, 0.0042, 0.0325, 0.0268, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0278, 0.1029, 0.1742, 0.225, 0.015, 0.1393, 0.0109, 0.0782, 0.1086, 0.0452, 0.0109, 0.0271, 0.0265, 0.0084]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0278, 0.1029, 0.1742, 0.225, 0.015, 0.1393, 0.0109, 0.0782, 0.1086, 0.0452, 0.0109, 0.0271, 0.0265, 0.0084]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=12.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 55.0]), label=3.0, probability=DenseVector([0.0226, 0.091, 0.1782, 0.238, 0.011, 0.115, 0.0076, 0.095, 0.1355, 0.0435, 0.0052, 0.0295, 0.0219, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 45.0]), label=2.0, probability=DenseVector([0.0376, 0.0945, 0.1671, 0.1762, 0.0263, 0.1274, 0.0324, 0.0696, 0.0945, 0.0774, 0.0201, 0.0242, 0.0314, 0.0213]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=12.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 54.0]), label=7.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 57.0]), label=2.0, probability=DenseVector([0.0247, 0.0844, 0.1911, 0.2303, 0.0117, 0.1236, 0.0076, 0.094, 0.1276, 0.0445, 0.0053, 0.029, 0.0206, 0.0056]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 62.0]), label=12.0, probability=DenseVector([0.0247, 0.0844, 0.1911, 0.2303, 0.0117, 0.1236, 0.0076, 0.094, 0.1276, 0.0445, 0.0053, 0.029, 0.0206, 0.0056]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 54.0]), label=2.0, probability=DenseVector([0.0247, 0.0863, 0.1923, 0.2353, 0.0081, 0.1195, 0.0078, 0.0981, 0.1295, 0.0378, 0.0048, 0.0308, 0.0193, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 48.0]), label=4.0, probability=DenseVector([0.0341, 0.0929, 0.1655, 0.2107, 0.0194, 0.1278, 0.0186, 0.0825, 0.1062, 0.0559, 0.0133, 0.0266, 0.0265, 0.0202]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0336, 0.0946, 0.1719, 0.2086, 0.0181, 0.1503, 0.0132, 0.0808, 0.1087, 0.0397, 0.0136, 0.0274, 0.0256, 0.0139]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 47.0]), label=11.0, probability=DenseVector([0.0368, 0.0711, 0.1972, 0.2346, 0.0241, 0.0841, 0.0314, 0.0567, 0.0844, 0.0512, 0.0166, 0.0193, 0.0274, 0.0653]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 49.0]), label=11.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=12.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 40.0, 53.0]), label=7.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=6.0, features=DenseVector([31.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.0874, 0.0543, 0.0119, 0.0112, 0.0545, 0.0072, 0.5376, 0.0095, 0.0142, 0.0775, 0.1114, 0.0026, 0.0205, 0.0002]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 50.0]), label=7.0, probability=DenseVector([0.0321, 0.0724, 0.1897, 0.2645, 0.0161, 0.1062, 0.0145, 0.0686, 0.1005, 0.0349, 0.0087, 0.0197, 0.0242, 0.0477]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=7.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=7.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 53.0]), label=12.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 55.0]), label=2.0, probability=DenseVector([0.0332, 0.0686, 0.1926, 0.2442, 0.0156, 0.1313, 0.011, 0.0743, 0.1094, 0.045, 0.0067, 0.0206, 0.0232, 0.0243]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 48.0]), label=12.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 49.0]), label=11.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 42.0, 53.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 47.0]), label=11.0, probability=DenseVector([0.0355, 0.071, 0.2004, 0.2409, 0.0227, 0.0746, 0.0327, 0.0568, 0.0819, 0.0512, 0.0152, 0.0194, 0.027, 0.0708]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 51.0]), label=12.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 52.0]), label=2.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 42.0]), label=4.0, probability=DenseVector([0.0593, 0.0619, 0.1533, 0.1741, 0.0439, 0.038, 0.15, 0.0337, 0.0494, 0.0869, 0.0377, 0.0221, 0.0239, 0.0659]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 44.0]), label=3.0, probability=DenseVector([0.0397, 0.0639, 0.1936, 0.2308, 0.0299, 0.0544, 0.0414, 0.0478, 0.0715, 0.0763, 0.022, 0.0265, 0.025, 0.0772]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 48.0]), label=11.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0302, 0.0707, 0.193, 0.271, 0.0153, 0.0924, 0.0175, 0.0673, 0.0947, 0.0371, 0.008, 0.0198, 0.0234, 0.0596]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=7.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 49.0]), label=7.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0313, 0.0712, 0.1934, 0.2707, 0.0146, 0.1001, 0.0155, 0.0685, 0.0993, 0.0347, 0.007, 0.0196, 0.0238, 0.0504]))
Row(prediction=2.0, features=DenseVector([31.0, 45.0, 45.0]), label=2.0, probability=DenseVector([0.037, 0.0587, 0.2237, 0.2136, 0.0302, 0.0443, 0.0493, 0.0447, 0.0707, 0.0787, 0.0219, 0.0257, 0.0214, 0.0801]))
Row(prediction=2.0, features=DenseVector([31.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0294, 0.0632, 0.2376, 0.2342, 0.0186, 0.0622, 0.0407, 0.0535, 0.0806, 0.045, 0.0106, 0.0186, 0.0217, 0.0841]))
Row(prediction=2.0, features=DenseVector([31.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0294, 0.0632, 0.2376, 0.2342, 0.0186, 0.0622, 0.0407, 0.0535, 0.0806, 0.045, 0.0106, 0.0186, 0.0217, 0.0841]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0275, 0.0656, 0.2232, 0.2538, 0.0156, 0.0823, 0.0254, 0.0641, 0.0938, 0.0395, 0.0079, 0.0191, 0.0198, 0.0626]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 50.0]), label=8.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 51.0]), label=1.0, probability=DenseVector([0.0286, 0.0661, 0.2235, 0.2535, 0.0149, 0.09, 0.0234, 0.0654, 0.0985, 0.037, 0.0068, 0.0188, 0.0201, 0.0533]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 52.0]), label=7.0, probability=DenseVector([0.0305, 0.0626, 0.2197, 0.2428, 0.0146, 0.1309, 0.013, 0.0733, 0.1047, 0.0358, 0.0065, 0.0187, 0.0191, 0.0279]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 52.0]), label=3.0, probability=DenseVector([0.0305, 0.0626, 0.2197, 0.2428, 0.0146, 0.1309, 0.013, 0.0733, 0.1047, 0.0358, 0.0065, 0.0187, 0.0191, 0.0279]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 55.0]), label=3.0, probability=DenseVector([0.0309, 0.0651, 0.2125, 0.2347, 0.0159, 0.1265, 0.0146, 0.0709, 0.1077, 0.0466, 0.0069, 0.0197, 0.021, 0.0271]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 43.0]), label=2.0, probability=DenseVector([0.032, 0.0547, 0.2522, 0.1975, 0.024, 0.0293, 0.1094, 0.0394, 0.0593, 0.0572, 0.0163, 0.0155, 0.0156, 0.0978]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=7.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 51.0]), label=12.0, probability=DenseVector([0.0218, 0.0593, 0.2769, 0.2307, 0.0141, 0.0509, 0.0429, 0.0569, 0.0881, 0.0445, 0.0063, 0.0181, 0.0156, 0.0739]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 54.0]), label=12.0, probability=DenseVector([0.0244, 0.0628, 0.2551, 0.2144, 0.0142, 0.098, 0.0312, 0.0674, 0.1023, 0.0488, 0.0064, 0.0211, 0.0175, 0.0365]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=8.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 50.0]), label=10.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 50.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 54.0]), label=3.0, probability=DenseVector([0.0235, 0.0654, 0.2487, 0.2106, 0.0134, 0.0919, 0.0339, 0.0661, 0.1047, 0.0549, 0.0068, 0.0237, 0.0206, 0.0358]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 43.0]), label=2.0, probability=DenseVector([0.0261, 0.0554, 0.263, 0.1994, 0.0217, 0.0292, 0.1106, 0.0398, 0.0605, 0.0525, 0.0138, 0.0149, 0.0144, 0.0986]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 49.0]), label=2.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 50.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0251, 0.0547, 0.263, 0.2107, 0.0207, 0.0276, 0.1126, 0.0391, 0.0611, 0.0516, 0.0129, 0.015, 0.014, 0.0918]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 48.0]), label=12.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 49.0]), label=3.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 49.0, 55.0]), label=12.0, probability=DenseVector([0.0235, 0.0654, 0.2487, 0.2106, 0.0134, 0.0919, 0.0339, 0.0661, 0.1047, 0.0549, 0.0068, 0.0237, 0.0206, 0.0358]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 42.0]), label=2.0, probability=DenseVector([0.0416, 0.0549, 0.2069, 0.1828, 0.0322, 0.0222, 0.1911, 0.033, 0.0498, 0.0558, 0.0225, 0.0139, 0.0154, 0.0779]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0251, 0.0547, 0.263, 0.2107, 0.0207, 0.0276, 0.1126, 0.0391, 0.0611, 0.0516, 0.0129, 0.015, 0.014, 0.0918]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.018, 0.0514, 0.3061, 0.2233, 0.0155, 0.0215, 0.0608, 0.0433, 0.0704, 0.0506, 0.0083, 0.0174, 0.0133, 0.1001]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0202, 0.0479, 0.2768, 0.2356, 0.0207, 0.018, 0.1101, 0.0314, 0.059, 0.0574, 0.0103, 0.0128, 0.0126, 0.0871]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 45.0]), label=2.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 46.0]), label=2.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 47.0]), label=2.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 35.0]), label=3.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 38.0]), label=2.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 38.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 38.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 39.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 43.0]), label=3.0, probability=DenseVector([0.0202, 0.0479, 0.2768, 0.2356, 0.0207, 0.018, 0.1101, 0.0314, 0.059, 0.0574, 0.0103, 0.0128, 0.0126, 0.0871]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 46.0]), label=3.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 47.0]), label=2.0, probability=DenseVector([0.0165, 0.0439, 0.3039, 0.2435, 0.0173, 0.0118, 0.0823, 0.0331, 0.0628, 0.0563, 0.0088, 0.0139, 0.012, 0.0939]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 36.0]), label=0.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 54.0, 39.0]), label=2.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=2.0, features=DenseVector([31.0, 54.0, 45.0]), label=2.0, probability=DenseVector([0.0207, 0.0461, 0.2727, 0.2219, 0.0211, 0.0117, 0.123, 0.0317, 0.0582, 0.0652, 0.0081, 0.0149, 0.013, 0.0918]))
Row(prediction=2.0, features=DenseVector([31.0, 55.0, 44.0]), label=2.0, probability=DenseVector([0.0209, 0.0489, 0.2652, 0.2015, 0.0206, 0.0117, 0.1516, 0.0316, 0.0575, 0.0673, 0.008, 0.0148, 0.0131, 0.0873]))
Row(prediction=2.0, features=DenseVector([31.0, 57.0, 46.0]), label=10.0, probability=DenseVector([0.0213, 0.0452, 0.2454, 0.191, 0.0265, 0.0116, 0.1667, 0.0304, 0.0581, 0.083, 0.0088, 0.0133, 0.0134, 0.0851]))
Row(prediction=5.0, features=DenseVector([32.0, 15.0, 51.0]), label=1.0, probability=DenseVector([0.0133, 0.1142, 0.0926, 0.1337, 0.0133, 0.4206, 0.004, 0.0282, 0.0338, 0.0777, 0.0103, 0.0144, 0.034, 0.0099]))
Row(prediction=5.0, features=DenseVector([32.0, 24.0, 45.0]), label=12.0, probability=DenseVector([0.0203, 0.1249, 0.0886, 0.1069, 0.0233, 0.3787, 0.0173, 0.0226, 0.0338, 0.1017, 0.018, 0.0133, 0.043, 0.0077]))
Row(prediction=3.0, features=DenseVector([32.0, 24.0, 52.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 27.0, 51.0]), label=12.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=3.0, features=DenseVector([32.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 29.0, 51.0]), label=3.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=3.0, features=DenseVector([32.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 30.0, 51.0]), label=1.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 53.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 53.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 52.0]), label=8.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 53.0]), label=1.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 53.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 53.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 31.0, 54.0]), label=3.0, probability=DenseVector([0.007, 0.168, 0.0628, 0.2878, 0.0077, 0.2341, 0.003, 0.0568, 0.046, 0.0483, 0.0034, 0.0233, 0.0456, 0.0062]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 52.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=3.0, features=DenseVector([32.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 32.0, 55.0]), label=8.0, probability=DenseVector([0.0068, 0.1744, 0.068, 0.2089, 0.0084, 0.2263, 0.0041, 0.0499, 0.0528, 0.09, 0.0034, 0.0344, 0.0665, 0.006]))
Row(prediction=6.0, features=DenseVector([32.0, 33.0, 29.0]), label=10.0, probability=DenseVector([0.0691, 0.0607, 0.0089, 0.0058, 0.0436, 0.0169, 0.6031, 0.0083, 0.0108, 0.0672, 0.0832, 0.0017, 0.0205, 0.0002]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 51.0]), label=12.0, probability=DenseVector([0.0174, 0.1235, 0.1118, 0.1793, 0.0171, 0.3319, 0.0075, 0.0361, 0.0444, 0.0504, 0.0128, 0.0195, 0.0371, 0.0112]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0132, 0.0871, 0.0999, 0.1523, 0.0115, 0.4566, 0.0028, 0.041, 0.0452, 0.0257, 0.0071, 0.0164, 0.0288, 0.0124]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 54.0]), label=8.0, probability=DenseVector([0.0147, 0.0946, 0.0957, 0.172, 0.0154, 0.4031, 0.003, 0.0429, 0.0495, 0.0359, 0.0076, 0.0184, 0.034, 0.0134]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 54.0]), label=4.0, probability=DenseVector([0.0147, 0.0946, 0.0957, 0.172, 0.0154, 0.4031, 0.003, 0.0429, 0.0495, 0.0359, 0.0076, 0.0184, 0.034, 0.0134]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0147, 0.0946, 0.0957, 0.172, 0.0154, 0.4031, 0.003, 0.0429, 0.0495, 0.0359, 0.0076, 0.0184, 0.034, 0.0134]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0147, 0.0946, 0.0957, 0.172, 0.0154, 0.4031, 0.003, 0.0429, 0.0495, 0.0359, 0.0076, 0.0184, 0.034, 0.0134]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0147, 0.0946, 0.0957, 0.172, 0.0154, 0.4031, 0.003, 0.0429, 0.0495, 0.0359, 0.0076, 0.0184, 0.034, 0.0134]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 43.0]), label=4.0, probability=DenseVector([0.0325, 0.0866, 0.117, 0.146, 0.0385, 0.2602, 0.0445, 0.0254, 0.0406, 0.0959, 0.0311, 0.0153, 0.0303, 0.0362]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0987, 0.1339, 0.1695, 0.0315, 0.2844, 0.0107, 0.0348, 0.0475, 0.0608, 0.0233, 0.0183, 0.0319, 0.027]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 34.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 51.0]), label=11.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 51.0]), label=12.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 45.0]), label=4.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 45.0]), label=2.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 50.0]), label=8.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 54.0]), label=7.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 55.0]), label=3.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 48.0]), label=7.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=6.0, features=DenseVector([32.0, 40.0, 39.0]), label=10.0, probability=DenseVector([0.086, 0.0582, 0.0169, 0.0145, 0.0561, 0.0073, 0.5233, 0.0106, 0.0158, 0.0818, 0.104, 0.0032, 0.022, 0.0005]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 45.0]), label=10.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 48.0]), label=11.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 53.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 46.0]), label=8.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 49.0]), label=1.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 54.0]), label=8.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=6.0, features=DenseVector([32.0, 42.0, 38.0]), label=1.0, probability=DenseVector([0.0874, 0.0543, 0.0119, 0.0112, 0.0545, 0.0072, 0.5376, 0.0095, 0.0142, 0.0775, 0.1114, 0.0026, 0.0205, 0.0002]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 48.0]), label=7.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 55.0]), label=3.0, probability=DenseVector([0.0313, 0.0629, 0.1617, 0.2397, 0.0221, 0.1903, 0.0097, 0.053, 0.0855, 0.0498, 0.0076, 0.016, 0.0286, 0.0417]))
Row(prediction=6.0, features=DenseVector([32.0, 43.0, 38.0]), label=10.0, probability=DenseVector([0.1, 0.0577, 0.0133, 0.0115, 0.0521, 0.0073, 0.5375, 0.0093, 0.0161, 0.077, 0.0944, 0.0027, 0.0209, 0.0002]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 48.0]), label=4.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=11.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=6.0, features=DenseVector([32.0, 45.0, 40.0]), label=3.0, probability=DenseVector([0.0988, 0.0657, 0.0221, 0.017, 0.0508, 0.0073, 0.5286, 0.0107, 0.0193, 0.0821, 0.0699, 0.0037, 0.0232, 0.0007]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 43.0]), label=2.0, probability=DenseVector([0.041, 0.0438, 0.1644, 0.2539, 0.0342, 0.0531, 0.0697, 0.0307, 0.0452, 0.0818, 0.0272, 0.02, 0.0193, 0.1155]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 43.0]), label=3.0, probability=DenseVector([0.041, 0.0438, 0.1644, 0.2539, 0.0342, 0.0531, 0.0697, 0.0307, 0.0452, 0.0818, 0.0272, 0.02, 0.0193, 0.1155]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 44.0]), label=12.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 46.0]), label=7.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 50.0]), label=8.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 45.0]), label=7.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 51.0]), label=1.0, probability=DenseVector([0.0186, 0.0433, 0.203, 0.3009, 0.0144, 0.0902, 0.0241, 0.0394, 0.0587, 0.0373, 0.0051, 0.0124, 0.0187, 0.1338]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 51.0]), label=3.0, probability=DenseVector([0.0186, 0.0433, 0.203, 0.3009, 0.0144, 0.0902, 0.0241, 0.0394, 0.0587, 0.0373, 0.0051, 0.0124, 0.0187, 0.1338]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 43.0]), label=1.0, probability=DenseVector([0.0194, 0.0365, 0.1956, 0.3075, 0.018, 0.0414, 0.0604, 0.028, 0.0465, 0.0489, 0.0115, 0.0118, 0.0152, 0.1594]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=6.0, features=DenseVector([32.0, 48.0, 41.0]), label=2.0, probability=DenseVector([0.0592, 0.0482, 0.0871, 0.12, 0.0302, 0.0046, 0.4317, 0.0178, 0.06, 0.06, 0.0205, 0.0115, 0.0151, 0.0341]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 47.0]), label=1.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=6.0, features=DenseVector([32.0, 49.0, 41.0]), label=2.0, probability=DenseVector([0.0592, 0.0482, 0.0871, 0.12, 0.0302, 0.0046, 0.4317, 0.0178, 0.06, 0.06, 0.0205, 0.0115, 0.0151, 0.0341]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 42.0]), label=2.0, probability=DenseVector([0.0335, 0.0408, 0.1641, 0.2723, 0.0266, 0.0296, 0.1407, 0.0247, 0.0431, 0.0533, 0.0202, 0.0121, 0.0154, 0.1237]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0184, 0.0358, 0.1956, 0.3187, 0.0171, 0.0397, 0.0624, 0.0274, 0.0471, 0.0479, 0.0106, 0.0118, 0.0148, 0.1526]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0184, 0.0358, 0.1956, 0.3187, 0.0171, 0.0397, 0.0624, 0.0274, 0.0471, 0.0479, 0.0106, 0.0118, 0.0148, 0.1526]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0184, 0.0358, 0.1956, 0.3187, 0.0171, 0.0397, 0.0624, 0.0274, 0.0471, 0.0479, 0.0106, 0.0118, 0.0148, 0.1526]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 49.0, 48.0]), label=2.0, probability=DenseVector([0.0178, 0.043, 0.2059, 0.3088, 0.0158, 0.0587, 0.028, 0.0389, 0.0509, 0.0423, 0.0072, 0.0126, 0.0183, 0.1517]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 42.0]), label=2.0, probability=DenseVector([0.0335, 0.0408, 0.1641, 0.2723, 0.0266, 0.0296, 0.1407, 0.0247, 0.0431, 0.0533, 0.0202, 0.0121, 0.0154, 0.1237]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0184, 0.0358, 0.1956, 0.3187, 0.0171, 0.0397, 0.0624, 0.0274, 0.0471, 0.0479, 0.0106, 0.0118, 0.0148, 0.1526]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 46.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 47.0]), label=2.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0151, 0.0357, 0.2046, 0.3271, 0.0153, 0.0447, 0.0344, 0.0296, 0.0443, 0.0456, 0.0074, 0.0124, 0.0157, 0.1682]))
Row(prediction=6.0, features=DenseVector([32.0, 51.0, 41.0]), label=2.0, probability=DenseVector([0.0364, 0.0284, 0.1229, 0.1828, 0.0175, 0.0046, 0.3588, 0.0133, 0.111, 0.0552, 0.005, 0.0148, 0.0107, 0.0384]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0137, 0.0305, 0.1925, 0.3564, 0.0184, 0.0251, 0.0671, 0.0196, 0.0529, 0.0565, 0.0075, 0.0117, 0.0129, 0.1352]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0127, 0.0303, 0.2026, 0.3601, 0.0172, 0.0253, 0.0525, 0.0201, 0.0535, 0.0549, 0.0074, 0.0104, 0.0128, 0.1401]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0127, 0.0303, 0.2026, 0.3601, 0.0172, 0.0253, 0.0525, 0.0201, 0.0535, 0.0549, 0.0074, 0.0104, 0.0128, 0.1401]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 46.0]), label=3.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 46.0]), label=2.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 51.0, 48.0]), label=2.0, probability=DenseVector([0.0153, 0.0383, 0.2063, 0.3363, 0.0177, 0.04, 0.0438, 0.0302, 0.0553, 0.0505, 0.0072, 0.0109, 0.0161, 0.1319]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 43.0]), label=2.0, probability=DenseVector([0.0127, 0.0303, 0.2026, 0.3601, 0.0172, 0.0253, 0.0525, 0.0201, 0.0535, 0.0549, 0.0074, 0.0104, 0.0128, 0.1401]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 44.0]), label=3.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 45.0]), label=2.0, probability=DenseVector([0.0126, 0.0309, 0.205, 0.3547, 0.0172, 0.026, 0.0502, 0.0209, 0.0487, 0.0539, 0.0074, 0.0106, 0.0135, 0.1484]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 48.0]), label=3.0, probability=DenseVector([0.0153, 0.0383, 0.2063, 0.3363, 0.0177, 0.04, 0.0438, 0.0302, 0.0553, 0.0505, 0.0072, 0.0109, 0.0161, 0.1319]))
Row(prediction=3.0, features=DenseVector([32.0, 52.0, 49.0]), label=3.0, probability=DenseVector([0.0158, 0.04, 0.2062, 0.3361, 0.0172, 0.0443, 0.0422, 0.0317, 0.0586, 0.0484, 0.0065, 0.0109, 0.0165, 0.1256]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 36.0]), label=3.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 54.0, 41.0]), label=2.0, probability=DenseVector([0.0367, 0.0344, 0.0958, 0.1585, 0.0223, 0.0045, 0.4076, 0.0133, 0.0784, 0.0765, 0.0046, 0.0173, 0.0115, 0.0386]))
Row(prediction=3.0, features=DenseVector([32.0, 56.0, 45.0]), label=3.0, probability=DenseVector([0.0173, 0.0379, 0.1686, 0.272, 0.0225, 0.0258, 0.1436, 0.0207, 0.0417, 0.083, 0.0069, 0.0108, 0.0159, 0.1333]))
Row(prediction=3.0, features=DenseVector([32.0, 60.0, 47.0]), label=3.0, probability=DenseVector([0.0133, 0.035, 0.1608, 0.2642, 0.0243, 0.0258, 0.1027, 0.0212, 0.0374, 0.15, 0.0069, 0.0091, 0.0182, 0.1311]))
Row(prediction=3.0, features=DenseVector([32.0, 60.0, 50.0]), label=1.0, probability=DenseVector([0.0166, 0.044, 0.1621, 0.2456, 0.0242, 0.0441, 0.0948, 0.032, 0.0474, 0.1445, 0.0059, 0.0093, 0.0211, 0.1083]))
Row(prediction=5.0, features=DenseVector([33.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 26.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 27.0, 52.0]), label=12.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 27.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 49.0]), label=12.0, probability=DenseVector([0.0208, 0.1173, 0.1416, 0.1527, 0.0202, 0.3076, 0.0088, 0.0328, 0.0428, 0.0633, 0.0148, 0.02, 0.033, 0.0244]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 29.0, 53.0]), label=7.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 51.0]), label=3.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([33.0, 30.0, 53.0]), label=7.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 49.0]), label=12.0, probability=DenseVector([0.0208, 0.1173, 0.1416, 0.1527, 0.0202, 0.3076, 0.0088, 0.0328, 0.0428, 0.0633, 0.0148, 0.02, 0.033, 0.0244]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 52.0]), label=7.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 54.0]), label=7.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 54.0]), label=3.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0079, 0.1695, 0.0834, 0.2463, 0.0085, 0.2562, 0.0012, 0.053, 0.0437, 0.0545, 0.0037, 0.0248, 0.0409, 0.0063]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 50.0]), label=3.0, probability=DenseVector([0.0212, 0.1252, 0.1458, 0.16, 0.0202, 0.2869, 0.0085, 0.0346, 0.0443, 0.0603, 0.0147, 0.0211, 0.0326, 0.0245]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=4.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([33.0, 33.0, 54.0]), label=3.0, probability=DenseVector([0.0155, 0.0961, 0.1164, 0.1305, 0.0162, 0.4252, 0.0012, 0.0391, 0.0472, 0.042, 0.0079, 0.0199, 0.0293, 0.0135]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0187, 0.0977, 0.1211, 0.1365, 0.0192, 0.4017, 0.0057, 0.0341, 0.0434, 0.046, 0.0148, 0.0172, 0.0305, 0.0134]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 54.0]), label=12.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 47.0]), label=3.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 48.0]), label=1.0, probability=DenseVector([0.0299, 0.0812, 0.1202, 0.1768, 0.034, 0.2851, 0.0144, 0.0354, 0.051, 0.0653, 0.0251, 0.0149, 0.0298, 0.037]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 54.0]), label=8.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 55.0]), label=2.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 45.0]), label=10.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 48.0]), label=3.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 51.0]), label=12.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 54.0]), label=12.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 55.0]), label=2.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=4.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 54.0]), label=8.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 55.0]), label=12.0, probability=DenseVector([0.0313, 0.0629, 0.1617, 0.2397, 0.0221, 0.1903, 0.0097, 0.053, 0.0855, 0.0498, 0.0076, 0.016, 0.0286, 0.0417]))
Row(prediction=6.0, features=DenseVector([33.0, 41.0, 35.0]), label=12.0, probability=DenseVector([0.0845, 0.0589, 0.0121, 0.0207, 0.0558, 0.0037, 0.4816, 0.0084, 0.0153, 0.1249, 0.1082, 0.0032, 0.0211, 0.0015]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 48.0]), label=7.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 54.0]), label=12.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 54.0]), label=2.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 46.0]), label=4.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 48.0]), label=1.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 54.0]), label=2.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 55.0]), label=3.0, probability=DenseVector([0.0313, 0.0629, 0.1617, 0.2397, 0.0221, 0.1903, 0.0097, 0.053, 0.0855, 0.0498, 0.0076, 0.016, 0.0286, 0.0417]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 58.0]), label=12.0, probability=DenseVector([0.03, 0.0655, 0.1487, 0.2229, 0.0264, 0.1782, 0.0102, 0.0486, 0.086, 0.0821, 0.0091, 0.0184, 0.0349, 0.0392]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 49.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 49.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 49.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=7.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 48.0]), label=1.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 51.0]), label=7.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 53.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 54.0]), label=3.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=1.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=1.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 43.0]), label=2.0, probability=DenseVector([0.0257, 0.0392, 0.1781, 0.308, 0.0215, 0.0421, 0.0531, 0.0274, 0.0411, 0.0582, 0.0133, 0.0129, 0.0171, 0.1623]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 43.0]), label=1.0, probability=DenseVector([0.0257, 0.0392, 0.1781, 0.308, 0.0215, 0.0421, 0.0531, 0.0274, 0.0411, 0.0582, 0.0133, 0.0129, 0.0171, 0.1623]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 45.0]), label=1.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 47.0]), label=1.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 46.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([33.0, 47.0, 16.0]), label=1.0, probability=DenseVector([0.0989, 0.0757, 0.0151, 0.0242, 0.0416, 0.0003, 0.5895, 0.0099, 0.02, 0.0592, 0.0455, 0.0037, 0.0146, 0.0017]))
Row(prediction=6.0, features=DenseVector([33.0, 47.0, 40.0]), label=12.0, probability=DenseVector([0.1005, 0.0764, 0.0349, 0.0372, 0.0504, 0.0019, 0.4714, 0.0126, 0.0324, 0.1043, 0.0478, 0.0067, 0.0214, 0.0022]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 43.0]), label=2.0, probability=DenseVector([0.0182, 0.036, 0.1822, 0.3279, 0.0182, 0.0421, 0.0452, 0.0262, 0.0456, 0.0551, 0.01, 0.0123, 0.0154, 0.1657]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 44.0]), label=4.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 48.0]), label=0.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 49.0]), label=7.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 47.0, 60.0]), label=2.0, probability=DenseVector([0.0195, 0.0611, 0.1343, 0.2195, 0.0351, 0.1373, 0.0145, 0.0352, 0.0725, 0.1308, 0.0089, 0.0186, 0.0406, 0.072]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 49.0]), label=12.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 49.0]), label=7.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 48.0, 50.0]), label=12.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.0312, 0.0401, 0.1609, 0.2965, 0.0256, 0.0305, 0.1109, 0.0234, 0.0427, 0.0579, 0.0186, 0.0112, 0.0155, 0.1349]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.0312, 0.0401, 0.1609, 0.2965, 0.0256, 0.0305, 0.1109, 0.0234, 0.0427, 0.0579, 0.0186, 0.0112, 0.0155, 0.1349]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.0312, 0.0401, 0.1609, 0.2965, 0.0256, 0.0305, 0.1109, 0.0234, 0.0427, 0.0579, 0.0186, 0.0112, 0.0155, 0.1349]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 47.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 48.0]), label=12.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([33.0, 49.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([33.0, 50.0, 33.0]), label=0.0, probability=DenseVector([0.0747, 0.0534, 0.0203, 0.0367, 0.0321, 0.0002, 0.6453, 0.0154, 0.03, 0.0474, 0.0214, 0.0066, 0.0148, 0.0017]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0312, 0.0401, 0.1609, 0.2965, 0.0256, 0.0305, 0.1109, 0.0234, 0.0427, 0.0579, 0.0186, 0.0112, 0.0155, 0.1349]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0312, 0.0401, 0.1609, 0.2965, 0.0256, 0.0305, 0.1109, 0.0234, 0.0427, 0.0579, 0.0186, 0.0112, 0.0155, 0.1349]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0312, 0.0401, 0.1609, 0.2965, 0.0256, 0.0305, 0.1109, 0.0234, 0.0427, 0.0579, 0.0186, 0.0112, 0.0155, 0.1349]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0312, 0.0401, 0.1609, 0.2965, 0.0256, 0.0305, 0.1109, 0.0234, 0.0427, 0.0579, 0.0186, 0.0112, 0.0155, 0.1349]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 43.0]), label=2.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([33.0, 50.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([33.0, 51.0, 41.0]), label=3.0, probability=DenseVector([0.0351, 0.0284, 0.1194, 0.1954, 0.0166, 0.0055, 0.3438, 0.0129, 0.1102, 0.0548, 0.005, 0.0137, 0.011, 0.0483]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 46.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 47.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([33.0, 51.0, 48.0]), label=3.0, probability=DenseVector([0.0142, 0.0364, 0.1824, 0.3651, 0.017, 0.0406, 0.0362, 0.0279, 0.0543, 0.0509, 0.0061, 0.011, 0.0163, 0.1416]))
Row(prediction=6.0, features=DenseVector([33.0, 52.0, 41.0]), label=3.0, probability=DenseVector([0.0351, 0.0284, 0.1194, 0.1954, 0.0166, 0.0055, 0.3438, 0.0129, 0.1102, 0.0548, 0.005, 0.0137, 0.011, 0.0483]))
Row(prediction=6.0, features=DenseVector([33.0, 52.0, 41.0]), label=3.0, probability=DenseVector([0.0351, 0.0284, 0.1194, 0.1954, 0.0166, 0.0055, 0.3438, 0.0129, 0.1102, 0.0548, 0.005, 0.0137, 0.011, 0.0483]))
Row(prediction=3.0, features=DenseVector([33.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([33.0, 52.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([33.0, 53.0, 37.0]), label=3.0, probability=DenseVector([0.061, 0.03, 0.0511, 0.0708, 0.0217, 0.0, 0.5579, 0.0115, 0.0988, 0.0526, 0.0093, 0.012, 0.0233, 0.0001]))
Row(prediction=3.0, features=DenseVector([33.0, 53.0, 43.0]), label=3.0, probability=DenseVector([0.012, 0.0304, 0.1739, 0.3753, 0.0172, 0.0258, 0.055, 0.0178, 0.0487, 0.0655, 0.0063, 0.0111, 0.0131, 0.1478]))
Row(prediction=3.0, features=DenseVector([33.0, 53.0, 44.0]), label=2.0, probability=DenseVector([0.0119, 0.031, 0.1763, 0.3699, 0.0172, 0.0265, 0.0526, 0.0185, 0.0439, 0.0644, 0.0062, 0.0114, 0.0139, 0.1561]))
Row(prediction=3.0, features=DenseVector([33.0, 53.0, 46.0]), label=1.0, probability=DenseVector([0.0113, 0.0336, 0.175, 0.3674, 0.0187, 0.0267, 0.0433, 0.0185, 0.0436, 0.075, 0.0065, 0.0106, 0.0148, 0.1549]))
Row(prediction=3.0, features=DenseVector([33.0, 54.0, 47.0]), label=3.0, probability=DenseVector([0.012, 0.0351, 0.1704, 0.3446, 0.0228, 0.0267, 0.0455, 0.0201, 0.0438, 0.0958, 0.0074, 0.0103, 0.016, 0.1495]))
Row(prediction=3.0, features=DenseVector([33.0, 55.0, 45.0]), label=2.0, probability=DenseVector([0.0154, 0.0377, 0.1593, 0.3009, 0.0199, 0.0264, 0.1231, 0.0195, 0.0411, 0.08, 0.0065, 0.0112, 0.0158, 0.1432]))
Row(prediction=3.0, features=DenseVector([33.0, 55.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0403, 0.158, 0.2984, 0.0214, 0.0266, 0.1138, 0.0195, 0.0408, 0.0905, 0.0069, 0.0104, 0.0167, 0.142]))
Row(prediction=9.0, features=DenseVector([33.0, 63.0, 61.0]), label=2.0, probability=DenseVector([0.0158, 0.0505, 0.0965, 0.171, 0.0403, 0.0482, 0.0911, 0.0245, 0.0568, 0.2948, 0.0061, 0.0128, 0.0389, 0.0526]))
Row(prediction=5.0, features=DenseVector([34.0, 16.0, 47.0]), label=1.0, probability=DenseVector([0.0108, 0.0985, 0.0826, 0.0551, 0.0137, 0.5441, 0.0057, 0.0126, 0.0197, 0.0971, 0.0103, 0.0109, 0.0331, 0.0058]))
Row(prediction=5.0, features=DenseVector([34.0, 24.0, 48.0]), label=1.0, probability=DenseVector([0.0149, 0.1281, 0.1097, 0.1018, 0.0169, 0.4111, 0.0082, 0.0214, 0.0308, 0.0879, 0.0117, 0.0161, 0.0341, 0.0072]))
Row(prediction=5.0, features=DenseVector([34.0, 25.0, 51.0]), label=1.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 25.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 26.0, 49.0]), label=1.0, probability=DenseVector([0.0166, 0.1274, 0.1281, 0.1124, 0.0175, 0.3894, 0.006, 0.0238, 0.0341, 0.072, 0.0128, 0.0185, 0.0326, 0.0088]))
Row(prediction=5.0, features=DenseVector([34.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 26.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 51.0]), label=1.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 52.0]), label=3.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 53.0]), label=3.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 27.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 52.0]), label=3.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 28.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 52.0]), label=12.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 29.0, 52.0]), label=3.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 54.0]), label=3.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 54.0]), label=7.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([34.0, 30.0, 54.0]), label=7.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 52.0]), label=3.0, probability=DenseVector([0.0108, 0.1935, 0.1456, 0.1332, 0.0089, 0.3032, 0.0013, 0.0366, 0.0444, 0.0549, 0.004, 0.0264, 0.0296, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 53.0]), label=7.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 50.0]), label=3.0, probability=DenseVector([0.0212, 0.1252, 0.1458, 0.16, 0.0202, 0.2869, 0.0085, 0.0346, 0.0443, 0.0603, 0.0147, 0.0211, 0.0326, 0.0245]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 51.0]), label=12.0, probability=DenseVector([0.0182, 0.125, 0.1325, 0.1378, 0.0179, 0.354, 0.0057, 0.0323, 0.0421, 0.0566, 0.0131, 0.021, 0.0324, 0.0113]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 53.0]), label=3.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 32.0, 54.0]), label=3.0, probability=DenseVector([0.0111, 0.2052, 0.1281, 0.1399, 0.0113, 0.2914, 0.0014, 0.0362, 0.0453, 0.063, 0.0038, 0.0247, 0.0316, 0.0072]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0294, 0.0911, 0.1326, 0.1724, 0.0326, 0.2875, 0.0102, 0.0359, 0.0509, 0.0565, 0.0243, 0.0173, 0.0306, 0.0287]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0294, 0.0911, 0.1326, 0.1724, 0.0326, 0.2875, 0.0102, 0.0359, 0.0509, 0.0565, 0.0243, 0.0173, 0.0306, 0.0287]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 50.0]), label=3.0, probability=DenseVector([0.0294, 0.0911, 0.1326, 0.1724, 0.0326, 0.2875, 0.0102, 0.0359, 0.0509, 0.0565, 0.0243, 0.0173, 0.0306, 0.0287]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 50.0]), label=10.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0215, 0.0832, 0.1173, 0.141, 0.0211, 0.4131, 0.0051, 0.0357, 0.0484, 0.0367, 0.0168, 0.0157, 0.028, 0.0164]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 56.0]), label=2.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 46.0]), label=3.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 51.0]), label=12.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 46.0]), label=2.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 51.0]), label=12.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 60.0]), label=12.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 44.0]), label=4.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 49.0]), label=4.0, probability=DenseVector([0.0332, 0.0796, 0.1408, 0.1589, 0.0349, 0.2949, 0.0105, 0.0387, 0.0535, 0.0533, 0.0261, 0.0185, 0.0273, 0.0299]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 50.0]), label=7.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=12.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=12.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=12.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=1.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 53.0]), label=2.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 54.0]), label=7.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([34.0, 39.0, 54.0]), label=3.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 44.0]), label=10.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 54.0]), label=3.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 44.0]), label=3.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 53.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 54.0]), label=3.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 55.0]), label=12.0, probability=DenseVector([0.0313, 0.0629, 0.1617, 0.2397, 0.0221, 0.1903, 0.0097, 0.053, 0.0855, 0.0498, 0.0076, 0.016, 0.0286, 0.0417]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 55.0]), label=3.0, probability=DenseVector([0.0313, 0.0629, 0.1617, 0.2397, 0.0221, 0.1903, 0.0097, 0.053, 0.0855, 0.0498, 0.0076, 0.016, 0.0286, 0.0417]))
Row(prediction=3.0, features=DenseVector([34.0, 41.0, 55.0]), label=3.0, probability=DenseVector([0.0313, 0.0629, 0.1617, 0.2397, 0.0221, 0.1903, 0.0097, 0.053, 0.0855, 0.0498, 0.0076, 0.016, 0.0286, 0.0417]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 44.0]), label=10.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 53.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 44.0]), label=12.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=12.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=12.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=4.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=6.0, features=DenseVector([34.0, 45.0, 40.0]), label=2.0, probability=DenseVector([0.098, 0.0983, 0.0307, 0.0371, 0.0542, 0.004, 0.3202, 0.0062, 0.0197, 0.249, 0.0483, 0.0128, 0.019, 0.0026]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 50.0]), label=8.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 50.0]), label=1.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 51.0]), label=2.0, probability=DenseVector([0.0267, 0.0536, 0.1899, 0.2836, 0.016, 0.1251, 0.0161, 0.0522, 0.0753, 0.0323, 0.0066, 0.0129, 0.0219, 0.088]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 51.0]), label=2.0, probability=DenseVector([0.0267, 0.0536, 0.1899, 0.2836, 0.016, 0.1251, 0.0161, 0.0522, 0.0753, 0.0323, 0.0066, 0.0129, 0.0219, 0.088]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 42.0]), label=3.0, probability=DenseVector([0.0361, 0.0522, 0.1581, 0.2704, 0.027, 0.0323, 0.1091, 0.0241, 0.038, 0.0667, 0.0169, 0.0126, 0.0179, 0.1387]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 47.0]), label=12.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 49.0]), label=12.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 54.0]), label=2.0, probability=DenseVector([0.0233, 0.0557, 0.1603, 0.2555, 0.0225, 0.1543, 0.0156, 0.044, 0.0765, 0.0672, 0.0059, 0.0166, 0.0273, 0.0753]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 46.0]), label=7.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 50.0]), label=1.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 47.0, 52.0]), label=3.0, probability=DenseVector([0.0224, 0.0543, 0.1587, 0.2479, 0.0168, 0.1893, 0.0175, 0.0437, 0.0737, 0.0479, 0.0065, 0.0185, 0.027, 0.0757]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 49.0]), label=12.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([34.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=6.0, features=DenseVector([34.0, 51.0, 41.0]), label=3.0, probability=DenseVector([0.0351, 0.0284, 0.1194, 0.1954, 0.0166, 0.0055, 0.3438, 0.0129, 0.1102, 0.0548, 0.005, 0.0137, 0.011, 0.0483]))
Row(prediction=6.0, features=DenseVector([34.0, 51.0, 41.0]), label=3.0, probability=DenseVector([0.0351, 0.0284, 0.1194, 0.1954, 0.0166, 0.0055, 0.3438, 0.0129, 0.1102, 0.0548, 0.005, 0.0137, 0.011, 0.0483]))
Row(prediction=6.0, features=DenseVector([34.0, 51.0, 41.0]), label=3.0, probability=DenseVector([0.0351, 0.0284, 0.1194, 0.1954, 0.0166, 0.0055, 0.3438, 0.0129, 0.1102, 0.0548, 0.005, 0.0137, 0.011, 0.0483]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 44.0]), label=2.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([34.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([34.0, 52.0, 38.0]), label=10.0, probability=DenseVector([0.0608, 0.0367, 0.042, 0.0506, 0.0221, 0.0, 0.5965, 0.0115, 0.0656, 0.0592, 0.0089, 0.0114, 0.0347, 0.0001]))
Row(prediction=6.0, features=DenseVector([34.0, 52.0, 41.0]), label=3.0, probability=DenseVector([0.0351, 0.0284, 0.1194, 0.1954, 0.0166, 0.0055, 0.3438, 0.0129, 0.1102, 0.0548, 0.005, 0.0137, 0.011, 0.0483]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([34.0, 52.0, 46.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([34.0, 53.0, 39.0]), label=1.0, probability=DenseVector([0.0608, 0.0367, 0.042, 0.0506, 0.0221, 0.0, 0.5965, 0.0115, 0.0656, 0.0592, 0.0089, 0.0114, 0.0347, 0.0001]))
Row(prediction=3.0, features=DenseVector([34.0, 53.0, 42.0]), label=3.0, probability=DenseVector([0.012, 0.0304, 0.1739, 0.3753, 0.0172, 0.0258, 0.055, 0.0178, 0.0487, 0.0655, 0.0063, 0.0111, 0.0131, 0.1478]))
Row(prediction=3.0, features=DenseVector([34.0, 53.0, 45.0]), label=3.0, probability=DenseVector([0.0119, 0.031, 0.1763, 0.3699, 0.0172, 0.0265, 0.0526, 0.0185, 0.0439, 0.0644, 0.0062, 0.0114, 0.0139, 0.1561]))
Row(prediction=6.0, features=DenseVector([34.0, 58.0, 40.0]), label=10.0, probability=DenseVector([0.0428, 0.0331, 0.0328, 0.0512, 0.0189, 0.0, 0.67, 0.0095, 0.0486, 0.0609, 0.0072, 0.0103, 0.0124, 0.0023]))
Row(prediction=9.0, features=DenseVector([34.0, 62.0, 52.0]), label=1.0, probability=DenseVector([0.0167, 0.0462, 0.1085, 0.1752, 0.0336, 0.096, 0.0903, 0.0274, 0.0525, 0.249, 0.0063, 0.0103, 0.0324, 0.0556]))
Row(prediction=5.0, features=DenseVector([35.0, 23.0, 44.0]), label=1.0, probability=DenseVector([0.0207, 0.1227, 0.1016, 0.085, 0.0236, 0.3898, 0.0163, 0.0205, 0.0324, 0.1057, 0.0181, 0.0149, 0.0408, 0.0077]))
Row(prediction=5.0, features=DenseVector([35.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 26.0, 54.0]), label=1.0, probability=DenseVector([0.0088, 0.2537, 0.1034, 0.1282, 0.0101, 0.2799, 0.0013, 0.0331, 0.039, 0.0694, 0.0037, 0.0249, 0.038, 0.0065]))
Row(prediction=5.0, features=DenseVector([35.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 27.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 29.0, 53.0]), label=1.0, probability=DenseVector([0.0088, 0.2506, 0.1047, 0.1245, 0.0089, 0.294, 0.0013, 0.0329, 0.0379, 0.0648, 0.0038, 0.0242, 0.0366, 0.0069]))
Row(prediction=5.0, features=DenseVector([35.0, 32.0, 50.0]), label=7.0, probability=DenseVector([0.0212, 0.1252, 0.1458, 0.16, 0.0202, 0.2869, 0.0085, 0.0346, 0.0443, 0.0603, 0.0147, 0.0211, 0.0326, 0.0245]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 48.0]), label=4.0, probability=DenseVector([0.02, 0.1144, 0.1316, 0.1555, 0.0208, 0.2969, 0.0131, 0.0318, 0.0413, 0.0771, 0.0146, 0.0181, 0.0334, 0.0315]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 33.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0886, 0.1205, 0.1108, 0.0123, 0.4787, 0.001, 0.0372, 0.043, 0.0318, 0.0074, 0.0179, 0.0241, 0.0125]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 49.0]), label=10.0, probability=DenseVector([0.028, 0.0987, 0.1339, 0.1695, 0.0315, 0.2844, 0.0107, 0.0348, 0.0475, 0.0608, 0.0233, 0.0183, 0.0319, 0.027]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 52.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 34.0, 53.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 49.0]), label=1.0, probability=DenseVector([0.0294, 0.0911, 0.1326, 0.1724, 0.0326, 0.2875, 0.0102, 0.0359, 0.0509, 0.0565, 0.0243, 0.0173, 0.0306, 0.0287]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 51.0]), label=4.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 35.0, 58.0]), label=4.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 52.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 54.0]), label=2.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 45.0]), label=4.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 46.0]), label=10.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 48.0]), label=10.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 53.0]), label=10.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=10.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 53.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0324, 0.0766, 0.1309, 0.1618, 0.0354, 0.2842, 0.0147, 0.0377, 0.052, 0.0671, 0.0259, 0.0165, 0.0277, 0.037]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 50.0]), label=7.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=12.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=12.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=4.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=12.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 45.0]), label=3.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 50.0]), label=4.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 53.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 40.0, 54.0]), label=12.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 46.0]), label=0.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 49.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=12.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 56.0]), label=2.0, probability=DenseVector([0.03, 0.0655, 0.1487, 0.2229, 0.0264, 0.1782, 0.0102, 0.0486, 0.086, 0.0821, 0.0091, 0.0184, 0.0349, 0.0392]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 44.0]), label=2.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 48.0]), label=1.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=12.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=1.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 52.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 53.0]), label=12.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 53.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 42.0]), label=2.0, probability=DenseVector([0.0529, 0.0591, 0.1332, 0.2152, 0.0479, 0.0441, 0.0998, 0.0261, 0.042, 0.1062, 0.0475, 0.0207, 0.0224, 0.083]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 44.0]), label=3.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=2.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 54.0]), label=2.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 56.0]), label=12.0, probability=DenseVector([0.03, 0.0655, 0.1487, 0.2229, 0.0264, 0.1782, 0.0102, 0.0486, 0.086, 0.0821, 0.0091, 0.0184, 0.0349, 0.0392]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 47.0]), label=12.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 49.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 51.0]), label=12.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 52.0]), label=3.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 46.0]), label=7.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 50.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 52.0]), label=2.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=6.0, features=DenseVector([35.0, 46.0, 40.0]), label=2.0, probability=DenseVector([0.0944, 0.0997, 0.0373, 0.042, 0.0523, 0.0034, 0.3176, 0.008, 0.0247, 0.2419, 0.0428, 0.0155, 0.0178, 0.0027]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 51.0]), label=3.0, probability=DenseVector([0.0184, 0.0434, 0.1894, 0.3098, 0.0146, 0.0908, 0.0237, 0.0385, 0.0573, 0.0384, 0.0052, 0.0126, 0.0191, 0.1388]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 46.0]), label=1.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 47.0]), label=1.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 49.0]), label=8.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 51.0]), label=2.0, probability=DenseVector([0.0184, 0.0434, 0.1894, 0.3098, 0.0146, 0.0908, 0.0237, 0.0385, 0.0573, 0.0384, 0.0052, 0.0126, 0.0191, 0.1388]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 43.0]), label=1.0, probability=DenseVector([0.0182, 0.036, 0.1822, 0.3279, 0.0182, 0.0421, 0.0452, 0.0262, 0.0456, 0.0551, 0.01, 0.0123, 0.0154, 0.1657]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=6.0, features=DenseVector([35.0, 49.0, 41.0]), label=1.0, probability=DenseVector([0.0533, 0.0557, 0.0852, 0.1492, 0.0263, 0.0057, 0.3942, 0.0153, 0.06, 0.0693, 0.0131, 0.0115, 0.0156, 0.0457]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 42.0]), label=3.0, probability=DenseVector([0.0276, 0.0483, 0.1623, 0.3016, 0.0228, 0.0306, 0.1032, 0.0222, 0.0431, 0.0626, 0.0127, 0.012, 0.0159, 0.1353]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 44.0]), label=1.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 46.0]), label=1.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 46.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 47.0]), label=1.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 43.0]), label=2.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 46.0]), label=1.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([35.0, 52.0, 42.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=6.0, features=DenseVector([35.0, 53.0, 41.0]), label=2.0, probability=DenseVector([0.0342, 0.0326, 0.1082, 0.1696, 0.0192, 0.0054, 0.3682, 0.0118, 0.1029, 0.0716, 0.004, 0.0151, 0.0104, 0.0469]))
Row(prediction=6.0, features=DenseVector([35.0, 62.0, 34.0]), label=3.0, probability=DenseVector([0.0387, 0.0252, 0.0111, 0.0171, 0.0143, 0.0, 0.8164, 0.0092, 0.0225, 0.0291, 0.0029, 0.0039, 0.0094, 0.0001]))
Row(prediction=5.0, features=DenseVector([36.0, 25.0, 46.0]), label=1.0, probability=DenseVector([0.0203, 0.1274, 0.1047, 0.0795, 0.0231, 0.3842, 0.0163, 0.0186, 0.0302, 0.1147, 0.0179, 0.0147, 0.0413, 0.0071]))
Row(prediction=5.0, features=DenseVector([36.0, 26.0, 46.0]), label=1.0, probability=DenseVector([0.0203, 0.1274, 0.1047, 0.0795, 0.0231, 0.3842, 0.0163, 0.0186, 0.0302, 0.1147, 0.0179, 0.0147, 0.0413, 0.0071]))
Row(prediction=5.0, features=DenseVector([36.0, 26.0, 51.0]), label=1.0, probability=DenseVector([0.0232, 0.1511, 0.1565, 0.124, 0.0208, 0.2939, 0.0057, 0.0266, 0.0407, 0.0757, 0.0166, 0.0222, 0.0328, 0.0101]))
Row(prediction=1.0, features=DenseVector([36.0, 26.0, 52.0]), label=1.0, probability=DenseVector([0.0205, 0.2493, 0.1476, 0.0984, 0.0158, 0.234, 0.0013, 0.0256, 0.0416, 0.0875, 0.0111, 0.0248, 0.0353, 0.0071]))
Row(prediction=1.0, features=DenseVector([36.0, 28.0, 52.0]), label=1.0, probability=DenseVector([0.0233, 0.249, 0.1496, 0.1044, 0.0183, 0.221, 0.0015, 0.0266, 0.0439, 0.0803, 0.0138, 0.0252, 0.0349, 0.008]))
Row(prediction=1.0, features=DenseVector([36.0, 29.0, 55.0]), label=12.0, probability=DenseVector([0.0233, 0.249, 0.1496, 0.1044, 0.0183, 0.221, 0.0015, 0.0266, 0.0439, 0.0803, 0.0138, 0.0252, 0.0349, 0.008]))
Row(prediction=5.0, features=DenseVector([36.0, 30.0, 50.0]), label=3.0, probability=DenseVector([0.0236, 0.1297, 0.1509, 0.1605, 0.0222, 0.2682, 0.0087, 0.0338, 0.0444, 0.0621, 0.0173, 0.0212, 0.0327, 0.0248]))
Row(prediction=5.0, features=DenseVector([36.0, 30.0, 54.0]), label=7.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 50.0]), label=1.0, probability=DenseVector([0.0236, 0.1297, 0.1509, 0.1605, 0.0222, 0.2682, 0.0087, 0.0338, 0.0444, 0.0621, 0.0173, 0.0212, 0.0327, 0.0248]))
Row(prediction=5.0, features=DenseVector([36.0, 33.0, 52.0]), label=10.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0315, 0.1287, 0.1412, 0.1371, 0.0297, 0.3105, 0.0059, 0.028, 0.0437, 0.0541, 0.0269, 0.0173, 0.0305, 0.0149]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0315, 0.1287, 0.1412, 0.1371, 0.0297, 0.3105, 0.0059, 0.028, 0.0437, 0.0541, 0.0269, 0.0173, 0.0305, 0.0149]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 35.0, 53.0]), label=10.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 49.0]), label=3.0, probability=DenseVector([0.032, 0.0946, 0.1386, 0.171, 0.0329, 0.2856, 0.0094, 0.0347, 0.0508, 0.0478, 0.0277, 0.0162, 0.0286, 0.0302]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 50.0]), label=10.0, probability=DenseVector([0.032, 0.0946, 0.1386, 0.171, 0.0329, 0.2856, 0.0094, 0.0347, 0.0508, 0.0478, 0.0277, 0.0162, 0.0286, 0.0302]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 51.0]), label=8.0, probability=DenseVector([0.0342, 0.1142, 0.1374, 0.1415, 0.0316, 0.322, 0.0053, 0.0296, 0.0486, 0.0448, 0.0289, 0.0158, 0.0281, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 36.0, 54.0]), label=12.0, probability=DenseVector([0.035, 0.12, 0.1306, 0.1278, 0.0323, 0.3474, 0.0016, 0.0304, 0.0475, 0.0402, 0.0271, 0.0148, 0.0268, 0.0183]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 46.0]), label=10.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 53.0]), label=10.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 51.0]), label=1.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 46.0]), label=0.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 47.0]), label=10.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 49.0]), label=10.0, probability=DenseVector([0.0345, 0.09, 0.1493, 0.1559, 0.0344, 0.2846, 0.0097, 0.037, 0.0519, 0.0496, 0.0285, 0.0179, 0.0265, 0.0302]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 51.0]), label=12.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=1.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=2.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 49.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=10.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=1.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 53.0]), label=0.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 45.0]), label=1.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 46.0]), label=11.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=1.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 53.0]), label=12.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 53.0]), label=12.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 44.0]), label=1.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=12.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=12.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 52.0]), label=2.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 45.0]), label=3.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 48.0]), label=12.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 52.0]), label=0.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 49.0]), label=1.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 52.0]), label=3.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=9.0, features=DenseVector([36.0, 45.0, 41.0]), label=1.0, probability=DenseVector([0.073, 0.1041, 0.062, 0.0869, 0.0478, 0.0084, 0.2203, 0.008, 0.0203, 0.2598, 0.038, 0.0222, 0.0165, 0.0326]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 42.0]), label=1.0, probability=DenseVector([0.0464, 0.0628, 0.1426, 0.2247, 0.0363, 0.0374, 0.1075, 0.0234, 0.0381, 0.1099, 0.0275, 0.0214, 0.0192, 0.1029]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 46.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 47.0]), label=2.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 49.0]), label=12.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 50.0]), label=11.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=1.0, features=DenseVector([36.0, 46.0, 17.0]), label=1.0, probability=DenseVector([0.0468, 0.4432, 0.0128, 0.0165, 0.0187, 0.0007, 0.3288, 0.0027, 0.0091, 0.0924, 0.0116, 0.0038, 0.0104, 0.0024]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 45.0]), label=4.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 47.0]), label=7.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 47.0]), label=7.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 51.0]), label=3.0, probability=DenseVector([0.0181, 0.0505, 0.1859, 0.3125, 0.0184, 0.068, 0.0235, 0.0357, 0.0631, 0.0425, 0.0056, 0.0129, 0.0217, 0.1417]))
Row(prediction=6.0, features=DenseVector([36.0, 47.0, 21.0]), label=1.0, probability=DenseVector([0.0493, 0.3824, 0.0145, 0.0193, 0.0181, 0.0006, 0.3875, 0.004, 0.0131, 0.082, 0.0103, 0.0046, 0.0122, 0.0024]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 47.0]), label=7.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 47.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 47.0]), label=7.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 48.0]), label=7.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=6.0, features=DenseVector([36.0, 49.0, 19.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=6.0, features=DenseVector([36.0, 50.0, 40.0]), label=1.0, probability=DenseVector([0.0649, 0.0646, 0.0549, 0.0625, 0.0272, 0.0002, 0.5058, 0.0118, 0.0659, 0.0877, 0.0154, 0.0132, 0.0231, 0.0028]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 42.0]), label=3.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 60.0]), label=3.0, probability=DenseVector([0.021, 0.0792, 0.1311, 0.2052, 0.0352, 0.1055, 0.019, 0.0252, 0.0624, 0.1735, 0.0128, 0.0163, 0.0376, 0.0761]))
Row(prediction=6.0, features=DenseVector([36.0, 51.0, 32.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([36.0, 51.0, 40.0]), label=2.0, probability=DenseVector([0.05, 0.0304, 0.0987, 0.1052, 0.0206, 0.0001, 0.4528, 0.0106, 0.1298, 0.0573, 0.0088, 0.0129, 0.0187, 0.0043]))
Row(prediction=3.0, features=DenseVector([36.0, 51.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([36.0, 51.0, 44.0]), label=12.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([36.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([36.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([36.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([36.0, 51.0, 53.0]), label=3.0, probability=DenseVector([0.0174, 0.063, 0.138, 0.2866, 0.0328, 0.0499, 0.0301, 0.0191, 0.0687, 0.16, 0.0099, 0.0123, 0.031, 0.0811]))
Row(prediction=6.0, features=DenseVector([36.0, 52.0, 30.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=3.0, features=DenseVector([36.0, 52.0, 42.0]), label=2.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([36.0, 52.0, 43.0]), label=3.0, probability=DenseVector([0.0116, 0.0284, 0.1786, 0.3888, 0.0165, 0.0259, 0.0449, 0.0178, 0.0525, 0.0553, 0.0064, 0.0105, 0.0129, 0.1497]))
Row(prediction=3.0, features=DenseVector([36.0, 52.0, 44.0]), label=3.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=6.0, features=DenseVector([36.0, 53.0, 29.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([36.0, 53.0, 29.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=3.0, features=DenseVector([36.0, 54.0, 59.0]), label=2.0, probability=DenseVector([0.0169, 0.0694, 0.1201, 0.2397, 0.0409, 0.0433, 0.033, 0.0186, 0.064, 0.222, 0.011, 0.0136, 0.0366, 0.0707]))
Row(prediction=5.0, features=DenseVector([37.0, 22.0, 63.0]), label=2.0, probability=DenseVector([0.022, 0.2093, 0.1686, 0.0946, 0.0174, 0.2278, 0.0012, 0.0241, 0.0416, 0.1134, 0.0111, 0.0278, 0.0341, 0.0071]))
Row(prediction=9.0, features=DenseVector([37.0, 29.0, 41.0]), label=4.0, probability=DenseVector([0.0303, 0.1294, 0.0397, 0.0402, 0.0325, 0.0524, 0.0934, 0.0101, 0.0195, 0.4469, 0.0215, 0.0376, 0.0446, 0.002]))
Row(prediction=5.0, features=DenseVector([37.0, 31.0, 51.0]), label=12.0, probability=DenseVector([0.026, 0.1508, 0.1585, 0.1301, 0.0233, 0.2809, 0.0059, 0.0276, 0.043, 0.0685, 0.0194, 0.0225, 0.0324, 0.011]))
Row(prediction=9.0, features=DenseVector([37.0, 33.0, 32.0]), label=3.0, probability=DenseVector([0.0457, 0.1072, 0.0111, 0.0068, 0.0327, 0.0236, 0.1458, 0.0055, 0.0078, 0.5208, 0.0352, 0.0293, 0.0285, 0.0001]))
Row(prediction=5.0, features=DenseVector([37.0, 33.0, 51.0]), label=3.0, probability=DenseVector([0.0283, 0.149, 0.1503, 0.1352, 0.0259, 0.2834, 0.0059, 0.0276, 0.0425, 0.0639, 0.0223, 0.0211, 0.0324, 0.0123]))
Row(prediction=5.0, features=DenseVector([37.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0292, 0.1091, 0.1423, 0.1665, 0.031, 0.2741, 0.01, 0.0331, 0.0458, 0.0571, 0.0257, 0.0177, 0.031, 0.0273]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0292, 0.1091, 0.1423, 0.1665, 0.031, 0.2741, 0.01, 0.0331, 0.0458, 0.0571, 0.0257, 0.0177, 0.031, 0.0273]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 51.0]), label=3.0, probability=DenseVector([0.0315, 0.1287, 0.1412, 0.1371, 0.0297, 0.3105, 0.0059, 0.028, 0.0437, 0.0541, 0.0269, 0.0173, 0.0305, 0.0149]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 53.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 45.0]), label=1.0, probability=DenseVector([0.0347, 0.0853, 0.1224, 0.1482, 0.0441, 0.2638, 0.0195, 0.0246, 0.0418, 0.0958, 0.0378, 0.0149, 0.0293, 0.0377]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 50.0]), label=10.0, probability=DenseVector([0.0307, 0.1016, 0.141, 0.1694, 0.0321, 0.2772, 0.0095, 0.0342, 0.0492, 0.0528, 0.0267, 0.0168, 0.0298, 0.0289]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 54.0]), label=3.0, probability=DenseVector([0.04, 0.1235, 0.1274, 0.122, 0.0365, 0.3377, 0.0018, 0.0286, 0.0465, 0.047, 0.0289, 0.0152, 0.0276, 0.0171]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 50.0]), label=10.0, probability=DenseVector([0.032, 0.0946, 0.1386, 0.171, 0.0329, 0.2856, 0.0094, 0.0347, 0.0508, 0.0478, 0.0277, 0.0162, 0.0286, 0.0302]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 50.0]), label=3.0, probability=DenseVector([0.032, 0.0946, 0.1386, 0.171, 0.0329, 0.2856, 0.0094, 0.0347, 0.0508, 0.0478, 0.0277, 0.0162, 0.0286, 0.0302]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 51.0]), label=0.0, probability=DenseVector([0.0342, 0.1142, 0.1374, 0.1415, 0.0316, 0.322, 0.0053, 0.0296, 0.0486, 0.0448, 0.0289, 0.0158, 0.0281, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0342, 0.1142, 0.1374, 0.1415, 0.0316, 0.322, 0.0053, 0.0296, 0.0486, 0.0448, 0.0289, 0.0158, 0.0281, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=9.0, features=DenseVector([37.0, 37.0, 39.0]), label=10.0, probability=DenseVector([0.0544, 0.0763, 0.014, 0.0106, 0.0421, 0.024, 0.1619, 0.005, 0.0121, 0.4367, 0.0438, 0.092, 0.0272, 0.0001]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 47.0]), label=10.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 37.0, 53.0]), label=1.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=9.0, features=DenseVector([37.0, 38.0, 41.0]), label=10.0, probability=DenseVector([0.0505, 0.0814, 0.0356, 0.0502, 0.0517, 0.0627, 0.0832, 0.0113, 0.0232, 0.3969, 0.0493, 0.0689, 0.03, 0.0052]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0345, 0.09, 0.1493, 0.1559, 0.0344, 0.2846, 0.0097, 0.037, 0.0519, 0.0496, 0.0285, 0.0179, 0.0265, 0.0302]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 50.0]), label=10.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 44.0]), label=4.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0361, 0.081, 0.1341, 0.1575, 0.0406, 0.2648, 0.0166, 0.036, 0.0491, 0.0705, 0.0335, 0.0167, 0.0273, 0.0362]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 50.0]), label=10.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0332, 0.0887, 0.1458, 0.1567, 0.0336, 0.2964, 0.0086, 0.0344, 0.053, 0.0473, 0.0287, 0.0167, 0.0259, 0.031]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 54.0]), label=0.0, probability=DenseVector([0.0385, 0.119, 0.1229, 0.1286, 0.0365, 0.3337, 0.0018, 0.0288, 0.0536, 0.047, 0.0275, 0.0149, 0.0287, 0.0185]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 46.0]), label=2.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 47.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=12.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 50.0]), label=0.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 50.0]), label=1.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 52.0]), label=0.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 52.0]), label=12.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 46.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 42.0, 53.0]), label=12.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 49.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 47.0]), label=7.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 44.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=1.0, features=DenseVector([37.0, 45.0, 17.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=1.0, features=DenseVector([37.0, 46.0, 16.0]), label=1.0, probability=DenseVector([0.0372, 0.4572, 0.0128, 0.0165, 0.0163, 0.0007, 0.3161, 0.0024, 0.0069, 0.1066, 0.0104, 0.0038, 0.0107, 0.0024]))
Row(prediction=1.0, features=DenseVector([37.0, 46.0, 17.0]), label=1.0, probability=DenseVector([0.0372, 0.4572, 0.0128, 0.0165, 0.0163, 0.0007, 0.3161, 0.0024, 0.0069, 0.1066, 0.0104, 0.0038, 0.0107, 0.0024]))
Row(prediction=1.0, features=DenseVector([37.0, 46.0, 17.0]), label=1.0, probability=DenseVector([0.0372, 0.4572, 0.0128, 0.0165, 0.0163, 0.0007, 0.3161, 0.0024, 0.0069, 0.1066, 0.0104, 0.0038, 0.0107, 0.0024]))
Row(prediction=1.0, features=DenseVector([37.0, 46.0, 24.0]), label=1.0, probability=DenseVector([0.0372, 0.4572, 0.0128, 0.0165, 0.0163, 0.0007, 0.3161, 0.0024, 0.0069, 0.1066, 0.0104, 0.0038, 0.0107, 0.0024]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 47.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 47.0]), label=7.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 52.0]), label=3.0, probability=DenseVector([0.0286, 0.0793, 0.1605, 0.2533, 0.025, 0.1308, 0.0145, 0.0354, 0.0856, 0.0525, 0.0125, 0.0161, 0.0269, 0.0791]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 52.0]), label=3.0, probability=DenseVector([0.0286, 0.0793, 0.1605, 0.2533, 0.025, 0.1308, 0.0145, 0.0354, 0.0856, 0.0525, 0.0125, 0.0161, 0.0269, 0.0791]))
Row(prediction=1.0, features=DenseVector([37.0, 47.0, 21.0]), label=1.0, probability=DenseVector([0.0397, 0.3963, 0.0144, 0.0193, 0.0157, 0.0006, 0.3747, 0.0037, 0.0109, 0.0962, 0.009, 0.0046, 0.0125, 0.0024]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 50.0]), label=11.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 50.0]), label=12.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([37.0, 48.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([37.0, 48.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([37.0, 48.0, 21.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([37.0, 48.0, 39.0]), label=1.0, probability=DenseVector([0.0709, 0.0673, 0.0468, 0.059, 0.0283, 0.0002, 0.512, 0.0109, 0.0599, 0.0879, 0.017, 0.0129, 0.0242, 0.0027]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 48.0]), label=1.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([37.0, 49.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([37.0, 49.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([37.0, 49.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=3.0, features=DenseVector([37.0, 49.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=6.0, features=DenseVector([37.0, 50.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([37.0, 50.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([37.0, 50.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([37.0, 50.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=3.0, features=DenseVector([37.0, 50.0, 45.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([37.0, 50.0, 46.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([37.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([37.0, 50.0, 49.0]), label=1.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([37.0, 51.0, 20.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=3.0, features=DenseVector([37.0, 51.0, 44.0]), label=3.0, probability=DenseVector([0.0113, 0.0307, 0.1754, 0.363, 0.0174, 0.0266, 0.0476, 0.0185, 0.0463, 0.0753, 0.0068, 0.012, 0.0141, 0.1549]))
Row(prediction=3.0, features=DenseVector([37.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0113, 0.0307, 0.1754, 0.363, 0.0174, 0.0266, 0.0476, 0.0185, 0.0463, 0.0753, 0.0068, 0.012, 0.0141, 0.1549]))
Row(prediction=3.0, features=DenseVector([37.0, 51.0, 46.0]), label=3.0, probability=DenseVector([0.0113, 0.0307, 0.1754, 0.363, 0.0174, 0.0266, 0.0476, 0.0185, 0.0463, 0.0753, 0.0068, 0.012, 0.0141, 0.1549]))
Row(prediction=3.0, features=DenseVector([37.0, 51.0, 48.0]), label=3.0, probability=DenseVector([0.014, 0.0381, 0.1767, 0.3447, 0.0179, 0.0406, 0.0413, 0.0279, 0.0529, 0.0719, 0.0066, 0.0123, 0.0167, 0.1384]))
Row(prediction=6.0, features=DenseVector([37.0, 52.0, 28.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 52.0, 30.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 52.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 53.0, 29.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 53.0, 29.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 53.0, 29.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 53.0, 30.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 53.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 53.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 53.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 53.0, 32.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 53.0, 32.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 54.0, 29.0]), label=1.0, probability=DenseVector([0.0535, 0.0636, 0.0128, 0.0231, 0.0194, 0.0, 0.7195, 0.0121, 0.0275, 0.0381, 0.0029, 0.0067, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 54.0, 31.0]), label=1.0, probability=DenseVector([0.0572, 0.0497, 0.0149, 0.0257, 0.0208, 0.0, 0.7198, 0.0133, 0.0309, 0.0358, 0.0032, 0.0071, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([37.0, 55.0, 40.0]), label=3.0, probability=DenseVector([0.0496, 0.0402, 0.0561, 0.0679, 0.0249, 0.0, 0.5446, 0.0107, 0.0778, 0.0843, 0.0079, 0.0141, 0.0176, 0.0043]))
Row(prediction=6.0, features=DenseVector([37.0, 56.0, 29.0]), label=1.0, probability=DenseVector([0.0485, 0.0608, 0.0116, 0.0207, 0.0171, 0.0, 0.7399, 0.0108, 0.0249, 0.0383, 0.0028, 0.0061, 0.0184, 0.0001]))
Row(prediction=3.0, features=DenseVector([37.0, 56.0, 45.0]), label=3.0, probability=DenseVector([0.015, 0.0374, 0.1515, 0.2774, 0.0189, 0.0264, 0.1319, 0.0195, 0.0383, 0.1126, 0.0063, 0.011, 0.0153, 0.1384]))
Row(prediction=3.0, features=DenseVector([37.0, 60.0, 44.0]), label=1.0, probability=DenseVector([0.0148, 0.0373, 0.1473, 0.2683, 0.019, 0.0264, 0.1816, 0.0195, 0.036, 0.0816, 0.0063, 0.0099, 0.0153, 0.1367]))
Row(prediction=5.0, features=DenseVector([38.0, 26.0, 59.0]), label=12.0, probability=DenseVector([0.0246, 0.1965, 0.1834, 0.0862, 0.0204, 0.2027, 0.0015, 0.0215, 0.0392, 0.1421, 0.0128, 0.0302, 0.0325, 0.0064]))
Row(prediction=5.0, features=DenseVector([38.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([38.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 46.0]), label=4.0, probability=DenseVector([0.0283, 0.1193, 0.1414, 0.1266, 0.0308, 0.2559, 0.0219, 0.0223, 0.0366, 0.1029, 0.0253, 0.0182, 0.0367, 0.0336]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([38.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0362, 0.15, 0.1709, 0.1054, 0.0292, 0.2986, 0.0015, 0.0269, 0.0443, 0.0525, 0.025, 0.021, 0.0256, 0.0128]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 50.0]), label=3.0, probability=DenseVector([0.0315, 0.1051, 0.1869, 0.1416, 0.0331, 0.2522, 0.009, 0.029, 0.0426, 0.0612, 0.0278, 0.0262, 0.0272, 0.0265]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([38.0, 34.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0329, 0.0976, 0.1856, 0.1445, 0.0342, 0.2553, 0.0086, 0.0301, 0.046, 0.057, 0.0288, 0.0253, 0.0259, 0.0282]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 54.0]), label=4.0, probability=DenseVector([0.042, 0.1239, 0.1433, 0.1181, 0.0382, 0.3197, 0.0019, 0.0272, 0.0453, 0.0493, 0.0307, 0.017, 0.0269, 0.0164]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 51.0]), label=1.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 42.0]), label=4.0, probability=DenseVector([0.0456, 0.0752, 0.0994, 0.1311, 0.0512, 0.1836, 0.046, 0.0217, 0.0378, 0.1687, 0.0539, 0.0222, 0.0278, 0.0359]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 47.0]), label=3.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 47.0]), label=3.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 49.0]), label=3.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 54.0]), label=2.0, probability=DenseVector([0.042, 0.1239, 0.1433, 0.1181, 0.0382, 0.3197, 0.0019, 0.0272, 0.0453, 0.0493, 0.0307, 0.017, 0.0269, 0.0164]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 50.0]), label=10.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 50.0]), label=1.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=12.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=4.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 53.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 53.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 50.0]), label=12.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 50.0]), label=10.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=9.0, features=DenseVector([38.0, 40.0, 40.0]), label=10.0, probability=DenseVector([0.0634, 0.0778, 0.0129, 0.0111, 0.044, 0.0066, 0.1879, 0.0046, 0.0126, 0.4156, 0.0471, 0.092, 0.0244, 0.0001]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 42.0]), label=3.0, probability=DenseVector([0.0527, 0.0718, 0.1197, 0.1862, 0.046, 0.0537, 0.0567, 0.0298, 0.0427, 0.1655, 0.0486, 0.0278, 0.0236, 0.0751]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 43.0]), label=3.0, probability=DenseVector([0.0438, 0.0694, 0.1473, 0.2288, 0.0379, 0.0693, 0.0339, 0.0356, 0.0512, 0.1146, 0.0307, 0.024, 0.0235, 0.0901]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 46.0]), label=3.0, probability=DenseVector([0.0304, 0.0533, 0.1787, 0.2771, 0.0241, 0.0973, 0.0223, 0.0445, 0.0658, 0.0502, 0.0162, 0.0134, 0.0226, 0.1041]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=12.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 53.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 55.0]), label=3.0, probability=DenseVector([0.0364, 0.0851, 0.1581, 0.2335, 0.0275, 0.1551, 0.0094, 0.0431, 0.0972, 0.0528, 0.0139, 0.0144, 0.029, 0.0444]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=2.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 41.0, 53.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=9.0, features=DenseVector([38.0, 42.0, 41.0]), label=1.0, probability=DenseVector([0.0683, 0.1069, 0.0373, 0.0511, 0.0506, 0.0156, 0.1324, 0.0144, 0.0212, 0.3501, 0.0506, 0.0677, 0.0236, 0.0103]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 46.0]), label=10.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 45.0]), label=2.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 47.0]), label=7.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 47.0]), label=7.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([38.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=1.0, features=DenseVector([38.0, 44.0, 16.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=1.0, features=DenseVector([38.0, 45.0, 16.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 49.0]), label=2.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 50.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=1.0, features=DenseVector([38.0, 46.0, 17.0]), label=1.0, probability=DenseVector([0.0372, 0.4572, 0.0128, 0.0165, 0.0163, 0.0007, 0.3161, 0.0024, 0.0069, 0.1066, 0.0104, 0.0038, 0.0107, 0.0024]))
Row(prediction=1.0, features=DenseVector([38.0, 46.0, 17.0]), label=1.0, probability=DenseVector([0.0372, 0.4572, 0.0128, 0.0165, 0.0163, 0.0007, 0.3161, 0.0024, 0.0069, 0.1066, 0.0104, 0.0038, 0.0107, 0.0024]))
Row(prediction=1.0, features=DenseVector([38.0, 46.0, 17.0]), label=1.0, probability=DenseVector([0.0372, 0.4572, 0.0128, 0.0165, 0.0163, 0.0007, 0.3161, 0.0024, 0.0069, 0.1066, 0.0104, 0.0038, 0.0107, 0.0024]))
Row(prediction=1.0, features=DenseVector([38.0, 46.0, 18.0]), label=1.0, probability=DenseVector([0.0372, 0.4572, 0.0128, 0.0165, 0.0163, 0.0007, 0.3161, 0.0024, 0.0069, 0.1066, 0.0104, 0.0038, 0.0107, 0.0024]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([38.0, 46.0, 51.0]), label=3.0, probability=DenseVector([0.0191, 0.0464, 0.1846, 0.3132, 0.0169, 0.067, 0.0236, 0.0343, 0.0727, 0.0426, 0.0062, 0.0123, 0.0203, 0.1405]))
Row(prediction=1.0, features=DenseVector([38.0, 47.0, 16.0]), label=1.0, probability=DenseVector([0.0397, 0.3963, 0.0144, 0.0193, 0.0157, 0.0006, 0.3747, 0.0037, 0.0109, 0.0962, 0.009, 0.0046, 0.0125, 0.0024]))
Row(prediction=1.0, features=DenseVector([38.0, 47.0, 17.0]), label=1.0, probability=DenseVector([0.0397, 0.3963, 0.0144, 0.0193, 0.0157, 0.0006, 0.3747, 0.0037, 0.0109, 0.0962, 0.009, 0.0046, 0.0125, 0.0024]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=6.0, features=DenseVector([38.0, 48.0, 19.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([38.0, 48.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([38.0, 48.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([38.0, 48.0, 28.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 45.0]), label=1.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([38.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([38.0, 49.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 42.0]), label=12.0, probability=DenseVector([0.025, 0.0564, 0.1599, 0.2943, 0.0199, 0.0305, 0.0993, 0.021, 0.0417, 0.0764, 0.0113, 0.0132, 0.0156, 0.1355]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 43.0]), label=2.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 45.0]), label=2.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 46.0]), label=10.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([38.0, 49.0, 47.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=6.0, features=DenseVector([38.0, 50.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([38.0, 50.0, 20.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=3.0, features=DenseVector([38.0, 50.0, 44.0]), label=3.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 20.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 23.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 51.0, 28.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=3.0, features=DenseVector([38.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0108, 0.0363, 0.1512, 0.2742, 0.0224, 0.0265, 0.0876, 0.0183, 0.0349, 0.1575, 0.0077, 0.0162, 0.0189, 0.1375]))
Row(prediction=3.0, features=DenseVector([38.0, 51.0, 45.0]), label=3.0, probability=DenseVector([0.0108, 0.0363, 0.1512, 0.2742, 0.0224, 0.0265, 0.0876, 0.0183, 0.0349, 0.1575, 0.0077, 0.0162, 0.0189, 0.1375]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 29.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 29.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 30.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 32.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 52.0, 32.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 30.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([38.0, 53.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=5.0, features=DenseVector([39.0, 21.0, 44.0]), label=1.0, probability=DenseVector([0.0125, 0.1037, 0.1016, 0.0457, 0.0148, 0.5205, 0.0058, 0.0093, 0.0164, 0.1083, 0.0118, 0.0124, 0.0328, 0.0044]))
Row(prediction=2.0, features=DenseVector([39.0, 25.0, 52.0]), label=2.0, probability=DenseVector([0.0239, 0.1933, 0.2108, 0.0858, 0.0188, 0.2022, 0.0012, 0.0222, 0.0398, 0.1164, 0.0128, 0.0343, 0.032, 0.0064]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=5.0, features=DenseVector([39.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0255, 0.1472, 0.2011, 0.0991, 0.0229, 0.2719, 0.0048, 0.0225, 0.0375, 0.0799, 0.0186, 0.0307, 0.029, 0.0093]))
Row(prediction=2.0, features=DenseVector([39.0, 26.0, 52.0]), label=2.0, probability=DenseVector([0.0239, 0.1933, 0.2108, 0.0858, 0.0188, 0.2022, 0.0012, 0.0222, 0.0398, 0.1164, 0.0128, 0.0343, 0.032, 0.0064]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0259, 0.1257, 0.1955, 0.1357, 0.0243, 0.2463, 0.0078, 0.0297, 0.0412, 0.0662, 0.0194, 0.0297, 0.0288, 0.024]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 30.0, 51.0]), label=12.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=5.0, features=DenseVector([39.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0282, 0.1469, 0.2031, 0.1052, 0.0254, 0.2589, 0.005, 0.0235, 0.0398, 0.0726, 0.0214, 0.0311, 0.0285, 0.0103]))
Row(prediction=2.0, features=DenseVector([39.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0255, 0.1178, 0.1912, 0.1283, 0.0243, 0.267, 0.0081, 0.0279, 0.0398, 0.0692, 0.0194, 0.0286, 0.0292, 0.0239]))
Row(prediction=2.0, features=DenseVector([39.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 46.0]), label=4.0, probability=DenseVector([0.0283, 0.1193, 0.1414, 0.1266, 0.0308, 0.2559, 0.0219, 0.0223, 0.0366, 0.1029, 0.0253, 0.0182, 0.0367, 0.0336]))
Row(prediction=5.0, features=DenseVector([39.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0305, 0.145, 0.1948, 0.1103, 0.028, 0.2615, 0.005, 0.0235, 0.0392, 0.068, 0.0244, 0.0296, 0.0286, 0.0115]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 49.0]), label=10.0, probability=DenseVector([0.0315, 0.1051, 0.1869, 0.1416, 0.0331, 0.2522, 0.009, 0.029, 0.0426, 0.0612, 0.0278, 0.0262, 0.0272, 0.0265]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 50.0]), label=10.0, probability=DenseVector([0.0315, 0.1051, 0.1869, 0.1416, 0.0331, 0.2522, 0.009, 0.029, 0.0426, 0.0612, 0.0278, 0.0262, 0.0272, 0.0265]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 51.0]), label=4.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 51.0]), label=4.0, probability=DenseVector([0.0337, 0.1248, 0.1858, 0.1122, 0.0318, 0.2886, 0.005, 0.0239, 0.0404, 0.0582, 0.029, 0.0258, 0.0267, 0.0142]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 53.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=4.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=4.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0352, 0.1172, 0.1845, 0.1151, 0.0329, 0.2917, 0.0045, 0.025, 0.0439, 0.0539, 0.03, 0.0248, 0.0254, 0.0158]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 52.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 35.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=10.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 51.0]), label=3.0, probability=DenseVector([0.0365, 0.1102, 0.182, 0.1167, 0.0337, 0.3, 0.0044, 0.0255, 0.0454, 0.0489, 0.031, 0.0243, 0.0242, 0.0171]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 53.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 54.0]), label=1.0, probability=DenseVector([0.042, 0.1239, 0.1433, 0.1181, 0.0382, 0.3197, 0.0019, 0.0272, 0.0453, 0.0493, 0.0307, 0.017, 0.0269, 0.0164]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 54.0]), label=1.0, probability=DenseVector([0.042, 0.1239, 0.1433, 0.1181, 0.0382, 0.3197, 0.0019, 0.0272, 0.0453, 0.0493, 0.0307, 0.017, 0.0269, 0.0164]))
Row(prediction=5.0, features=DenseVector([39.0, 36.0, 55.0]), label=1.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=10.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=10.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 51.0]), label=3.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 52.0]), label=4.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 45.0]), label=4.0, probability=DenseVector([0.0381, 0.0786, 0.1358, 0.1459, 0.0465, 0.2542, 0.0195, 0.0237, 0.0422, 0.0931, 0.0405, 0.0162, 0.0273, 0.0383]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 49.0]), label=3.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=0.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=1.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=12.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 52.0]), label=3.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 53.0]), label=3.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 45.0]), label=10.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.0287, 0.0573, 0.187, 0.2805, 0.0193, 0.1073, 0.018, 0.0531, 0.0726, 0.0372, 0.0107, 0.0138, 0.0232, 0.0912]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 51.0]), label=3.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 55.0]), label=12.0, probability=DenseVector([0.0364, 0.0851, 0.1581, 0.2335, 0.0275, 0.1551, 0.0094, 0.0431, 0.0972, 0.0528, 0.0139, 0.0144, 0.029, 0.0444]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 51.0]), label=12.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 53.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 44.0]), label=12.0, probability=DenseVector([0.0367, 0.0488, 0.1681, 0.2628, 0.0343, 0.0699, 0.0322, 0.0359, 0.0533, 0.0839, 0.026, 0.0206, 0.0219, 0.1056]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 46.0]), label=2.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 47.0]), label=4.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=0.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=12.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=1.0, features=DenseVector([39.0, 44.0, 16.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=1.0, features=DenseVector([39.0, 44.0, 16.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=1.0, features=DenseVector([39.0, 44.0, 16.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=9.0, features=DenseVector([39.0, 44.0, 37.0]), label=1.0, probability=DenseVector([0.0816, 0.1071, 0.0275, 0.0302, 0.0473, 0.0038, 0.297, 0.004, 0.0168, 0.3042, 0.0421, 0.0184, 0.0171, 0.0029]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=7.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=2.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.029, 0.0605, 0.1827, 0.2823, 0.0188, 0.1056, 0.0154, 0.0495, 0.0932, 0.0365, 0.0082, 0.0132, 0.0245, 0.0805]))
Row(prediction=3.0, features=DenseVector([39.0, 44.0, 52.0]), label=1.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=1.0, features=DenseVector([39.0, 45.0, 15.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=1.0, features=DenseVector([39.0, 45.0, 17.0]), label=1.0, probability=DenseVector([0.0344, 0.5077, 0.0127, 0.016, 0.0158, 0.0007, 0.2769, 0.0017, 0.0062, 0.1013, 0.0103, 0.0036, 0.0103, 0.0024]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 44.0]), label=3.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 48.0]), label=2.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 52.0]), label=12.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 43.0]), label=12.0, probability=DenseVector([0.0245, 0.0478, 0.1786, 0.3008, 0.0203, 0.042, 0.0538, 0.0272, 0.0408, 0.0587, 0.0127, 0.0131, 0.017, 0.1625]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 44.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 45.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 46.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 47.0]), label=4.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 47.0]), label=1.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=6.0, features=DenseVector([39.0, 49.0, 22.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([39.0, 49.0, 23.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([39.0, 49.0, 23.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 22.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 22.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 22.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 23.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 24.0]), label=1.0, probability=DenseVector([0.0558, 0.1614, 0.0199, 0.0306, 0.022, 0.0005, 0.5707, 0.0108, 0.0247, 0.0695, 0.0082, 0.0074, 0.016, 0.0024]))
Row(prediction=6.0, features=DenseVector([39.0, 50.0, 38.0]), label=1.0, probability=DenseVector([0.064, 0.0645, 0.0431, 0.0551, 0.0271, 0.0002, 0.5253, 0.0106, 0.0557, 0.0993, 0.0148, 0.0128, 0.0249, 0.0027]))
Row(prediction=6.0, features=DenseVector([39.0, 51.0, 22.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 51.0, 22.0]), label=1.0, probability=DenseVector([0.0544, 0.0823, 0.013, 0.0231, 0.0201, 0.0003, 0.6871, 0.0122, 0.0272, 0.0492, 0.003, 0.0066, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 52.0, 41.0]), label=2.0, probability=DenseVector([0.0334, 0.0361, 0.0826, 0.1336, 0.0246, 0.0055, 0.3779, 0.0129, 0.0586, 0.1518, 0.0061, 0.0145, 0.0185, 0.0438]))
Row(prediction=6.0, features=DenseVector([39.0, 53.0, 31.0]), label=1.0, probability=DenseVector([0.0581, 0.0685, 0.0151, 0.0256, 0.0215, 0.0003, 0.6873, 0.0134, 0.0306, 0.0469, 0.0033, 0.007, 0.0224, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 54.0, 25.0]), label=1.0, probability=DenseVector([0.0535, 0.0636, 0.0128, 0.0231, 0.0194, 0.0, 0.7195, 0.0121, 0.0275, 0.0381, 0.0029, 0.0067, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 54.0, 31.0]), label=1.0, probability=DenseVector([0.0572, 0.0497, 0.0149, 0.0257, 0.0208, 0.0, 0.7198, 0.0133, 0.0309, 0.0358, 0.0032, 0.0071, 0.0215, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 54.0, 35.0]), label=1.0, probability=DenseVector([0.0619, 0.0397, 0.025, 0.0349, 0.0225, 0.0, 0.6631, 0.0133, 0.044, 0.0478, 0.0072, 0.0082, 0.0321, 0.0001]))
Row(prediction=6.0, features=DenseVector([39.0, 55.0, 24.0]), label=1.0, probability=DenseVector([0.0535, 0.0636, 0.0128, 0.0231, 0.0194, 0.0, 0.7195, 0.0121, 0.0275, 0.0381, 0.0029, 0.0067, 0.0207, 0.0001]))
Row(prediction=9.0, features=DenseVector([40.0, 19.0, 41.0]), label=1.0, probability=DenseVector([0.0186, 0.1057, 0.0563, 0.0087, 0.0223, 0.0228, 0.0611, 0.0013, 0.0073, 0.5815, 0.0094, 0.0645, 0.0404, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 26.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 27.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 28.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 51.0]), label=12.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 29.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 51.0]), label=12.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 30.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 53.0]), label=2.0, probability=DenseVector([0.0446, 0.1202, 0.4131, 0.0288, 0.0466, 0.0453, 0.003, 0.0094, 0.0153, 0.1331, 0.0274, 0.0973, 0.0155, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([40.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0515, 0.1073, 0.3864, 0.037, 0.0516, 0.1095, 0.0027, 0.0117, 0.0145, 0.0923, 0.0353, 0.0807, 0.0166, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 52.0]), label=12.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 52.0]), label=3.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=3.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=12.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 53.0]), label=4.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 48.0]), label=10.0, probability=DenseVector([0.0265, 0.0928, 0.5427, 0.0153, 0.0265, 0.0611, 0.0031, 0.0047, 0.0047, 0.0615, 0.0215, 0.1292, 0.0096, 0.001]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 51.0]), label=4.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=3.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=1.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 47.0]), label=10.0, probability=DenseVector([0.0306, 0.0637, 0.3123, 0.0895, 0.0288, 0.1403, 0.0182, 0.0041, 0.0083, 0.1593, 0.0173, 0.1093, 0.0142, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 52.0]), label=3.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 53.0]), label=3.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 37.0, 54.0]), label=1.0, probability=DenseVector([0.0541, 0.0989, 0.3682, 0.0439, 0.0552, 0.113, 0.003, 0.0133, 0.0165, 0.0967, 0.0354, 0.0793, 0.0192, 0.0033]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 49.0]), label=2.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 50.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 51.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=5.0, features=DenseVector([40.0, 38.0, 52.0]), label=3.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=9.0, features=DenseVector([40.0, 39.0, 41.0]), label=3.0, probability=DenseVector([0.043, 0.0674, 0.0374, 0.0258, 0.0423, 0.0253, 0.1006, 0.003, 0.0084, 0.445, 0.0333, 0.1438, 0.0242, 0.0005]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 46.0]), label=11.0, probability=DenseVector([0.0251, 0.0397, 0.1687, 0.167, 0.0274, 0.2004, 0.0313, 0.0049, 0.0106, 0.1972, 0.0134, 0.0919, 0.0157, 0.0066]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 50.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([40.0, 39.0, 52.0]), label=10.0, probability=DenseVector([0.0434, 0.0778, 0.2327, 0.1113, 0.0376, 0.3387, 0.0021, 0.0138, 0.0171, 0.0485, 0.0409, 0.0197, 0.0112, 0.0053]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 51.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 53.0]), label=2.0, probability=DenseVector([0.0326, 0.0473, 0.2065, 0.2826, 0.0308, 0.1776, 0.0063, 0.0264, 0.0403, 0.0847, 0.0173, 0.0172, 0.0161, 0.0142]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 52.0]), label=3.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=9.0, features=DenseVector([40.0, 42.0, 42.0]), label=3.0, probability=DenseVector([0.0422, 0.0412, 0.1074, 0.1296, 0.0452, 0.0492, 0.0836, 0.0049, 0.0118, 0.3632, 0.0326, 0.0571, 0.019, 0.0131]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 47.0]), label=2.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 52.0]), label=10.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 52.0]), label=3.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=3.0, features=DenseVector([40.0, 42.0, 55.0]), label=4.0, probability=DenseVector([0.0331, 0.0497, 0.1992, 0.2746, 0.0322, 0.1732, 0.0079, 0.024, 0.0433, 0.0955, 0.0177, 0.0181, 0.018, 0.0134]))
Row(prediction=1.0, features=DenseVector([40.0, 43.0, 16.0]), label=1.0, probability=DenseVector([0.0287, 0.5083, 0.0091, 0.0137, 0.0169, 0.0003, 0.2307, 0.0015, 0.0051, 0.1437, 0.0214, 0.006, 0.0123, 0.0022]))
Row(prediction=1.0, features=DenseVector([40.0, 43.0, 16.0]), label=1.0, probability=DenseVector([0.0287, 0.5083, 0.0091, 0.0137, 0.0169, 0.0003, 0.2307, 0.0015, 0.0051, 0.1437, 0.0214, 0.006, 0.0123, 0.0022]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=2.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=12.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 50.0]), label=2.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=1.0, features=DenseVector([40.0, 44.0, 15.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([40.0, 44.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([40.0, 44.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([40.0, 44.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([40.0, 44.0, 17.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=9.0, features=DenseVector([40.0, 44.0, 42.0]), label=11.0, probability=DenseVector([0.0417, 0.0567, 0.1146, 0.1438, 0.0404, 0.0488, 0.1228, 0.0043, 0.0139, 0.3113, 0.0177, 0.0503, 0.0178, 0.0156]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=2.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=12.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 50.0]), label=2.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([40.0, 44.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=1.0, features=DenseVector([40.0, 45.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([40.0, 45.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([40.0, 45.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([40.0, 45.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([40.0, 45.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([40.0, 45.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 55.0]), label=3.0, probability=DenseVector([0.0331, 0.0497, 0.1992, 0.2746, 0.0322, 0.1732, 0.0079, 0.024, 0.0433, 0.0955, 0.0177, 0.0181, 0.018, 0.0134]))
Row(prediction=1.0, features=DenseVector([40.0, 46.0, 16.0]), label=1.0, probability=DenseVector([0.036, 0.5068, 0.0111, 0.0155, 0.0135, 0.0003, 0.2839, 0.0023, 0.0063, 0.1, 0.0079, 0.0033, 0.0108, 0.0023]))
Row(prediction=1.0, features=DenseVector([40.0, 46.0, 17.0]), label=1.0, probability=DenseVector([0.036, 0.5068, 0.0111, 0.0155, 0.0135, 0.0003, 0.2839, 0.0023, 0.0063, 0.1, 0.0079, 0.0033, 0.0108, 0.0023]))
Row(prediction=9.0, features=DenseVector([40.0, 46.0, 41.0]), label=4.0, probability=DenseVector([0.0542, 0.0877, 0.056, 0.073, 0.0416, 0.0077, 0.2417, 0.0044, 0.0194, 0.3211, 0.0251, 0.0391, 0.0149, 0.014]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=3.0, features=DenseVector([40.0, 46.0, 48.0]), label=3.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 48.0]), label=3.0, probability=DenseVector([0.012, 0.0291, 0.2056, 0.319, 0.0175, 0.1674, 0.0202, 0.0164, 0.0225, 0.1129, 0.0075, 0.0201, 0.0117, 0.0381]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 51.0]), label=12.0, probability=DenseVector([0.0123, 0.0319, 0.2029, 0.3105, 0.0181, 0.175, 0.0201, 0.0151, 0.0228, 0.1134, 0.0084, 0.0199, 0.012, 0.0377]))
Row(prediction=9.0, features=DenseVector([40.0, 48.0, 45.0]), label=3.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 20.0]), label=1.0, probability=DenseVector([0.0524, 0.1592, 0.0181, 0.0285, 0.0205, 0.0002, 0.5839, 0.01, 0.0222, 0.0702, 0.0078, 0.0075, 0.0172, 0.0024]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 22.0]), label=1.0, probability=DenseVector([0.0524, 0.1592, 0.0181, 0.0285, 0.0205, 0.0002, 0.5839, 0.01, 0.0222, 0.0702, 0.0078, 0.0075, 0.0172, 0.0024]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 23.0]), label=1.0, probability=DenseVector([0.0524, 0.1592, 0.0181, 0.0285, 0.0205, 0.0002, 0.5839, 0.01, 0.0222, 0.0702, 0.0078, 0.0075, 0.0172, 0.0024]))
Row(prediction=6.0, features=DenseVector([40.0, 49.0, 40.0]), label=1.0, probability=DenseVector([0.054, 0.0679, 0.043, 0.0512, 0.0301, 0.0002, 0.4892, 0.0093, 0.052, 0.1434, 0.0149, 0.0171, 0.0251, 0.0028]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 22.0]), label=1.0, probability=DenseVector([0.0537, 0.1386, 0.0181, 0.0291, 0.0218, 0.0002, 0.5986, 0.01, 0.0226, 0.0663, 0.0078, 0.0086, 0.0223, 0.0024]))
Row(prediction=6.0, features=DenseVector([40.0, 50.0, 24.0]), label=1.0, probability=DenseVector([0.0537, 0.1386, 0.0181, 0.0291, 0.0218, 0.0002, 0.5986, 0.01, 0.0226, 0.0663, 0.0078, 0.0086, 0.0223, 0.0024]))
Row(prediction=3.0, features=DenseVector([40.0, 50.0, 46.0]), label=4.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=6.0, features=DenseVector([40.0, 51.0, 21.0]), label=1.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=6.0, features=DenseVector([40.0, 53.0, 22.0]), label=1.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=2.0, features=DenseVector([41.0, 27.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 28.0, 52.0]), label=2.0, probability=DenseVector([0.0344, 0.1204, 0.4839, 0.0187, 0.0326, 0.0389, 0.0008, 0.0069, 0.01, 0.0993, 0.0223, 0.1157, 0.0159, 0.0002]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=9.0, features=DenseVector([41.0, 31.0, 33.0]), label=4.0, probability=DenseVector([0.0154, 0.098, 0.0093, 0.0043, 0.0192, 0.0217, 0.0879, 0.0022, 0.0038, 0.6498, 0.0082, 0.039, 0.0414, 0.0]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.1015, 0.5588, 0.016, 0.0222, 0.0458, 0.0008, 0.0041, 0.0046, 0.0531, 0.0179, 0.1421, 0.0091, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0355, 0.0977, 0.525, 0.0232, 0.0317, 0.0427, 0.0009, 0.0108, 0.0141, 0.0665, 0.0225, 0.119, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=12.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 52.0]), label=4.0, probability=DenseVector([0.0382, 0.0937, 0.5285, 0.0236, 0.0345, 0.0436, 0.0009, 0.0111, 0.0142, 0.0664, 0.025, 0.11, 0.0098, 0.0004]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=4.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.026, 0.0974, 0.5623, 0.0163, 0.025, 0.0467, 0.0009, 0.0044, 0.0047, 0.053, 0.0204, 0.133, 0.009, 0.0009]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0434, 0.0967, 0.4548, 0.0348, 0.0394, 0.1096, 0.0011, 0.0119, 0.0126, 0.055, 0.0302, 0.0957, 0.0119, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 33.0, 53.0]), label=4.0, probability=DenseVector([0.0515, 0.1073, 0.3864, 0.037, 0.0516, 0.1095, 0.0027, 0.0117, 0.0145, 0.0923, 0.0353, 0.0807, 0.0166, 0.003]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 50.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=12.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 34.0, 54.0]), label=4.0, probability=DenseVector([0.0541, 0.0989, 0.3682, 0.0439, 0.0552, 0.113, 0.003, 0.0133, 0.0165, 0.0967, 0.0354, 0.0793, 0.0192, 0.0033]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 35.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=9.0, features=DenseVector([41.0, 36.0, 45.0]), label=12.0, probability=DenseVector([0.0311, 0.0511, 0.1903, 0.0987, 0.0325, 0.1068, 0.038, 0.0033, 0.0095, 0.2812, 0.0151, 0.1191, 0.0186, 0.0047]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0265, 0.0928, 0.5427, 0.0153, 0.0265, 0.0611, 0.0031, 0.0047, 0.0047, 0.0615, 0.0215, 0.1292, 0.0096, 0.001]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 36.0, 53.0]), label=4.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 49.0]), label=12.0, probability=DenseVector([0.0291, 0.0918, 0.5378, 0.0246, 0.0269, 0.0608, 0.0022, 0.0104, 0.0086, 0.0487, 0.022, 0.1258, 0.0095, 0.0017]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0291, 0.0918, 0.5378, 0.0246, 0.0269, 0.0608, 0.0022, 0.0104, 0.0086, 0.0487, 0.022, 0.1258, 0.0095, 0.0017]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=2.0, features=DenseVector([41.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0278, 0.0905, 0.5343, 0.0254, 0.0262, 0.0726, 0.0011, 0.0078, 0.0097, 0.0463, 0.0222, 0.1246, 0.0089, 0.0025]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=10.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 38.0, 53.0]), label=3.0, probability=DenseVector([0.0428, 0.0806, 0.2144, 0.1107, 0.039, 0.3383, 0.0029, 0.0134, 0.018, 0.0634, 0.0406, 0.0175, 0.0132, 0.0053]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0244, 0.0539, 0.2939, 0.1312, 0.0211, 0.3241, 0.0056, 0.0117, 0.0124, 0.0606, 0.0227, 0.0273, 0.0081, 0.003]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 49.0]), label=3.0, probability=DenseVector([0.0247, 0.0531, 0.307, 0.1345, 0.0206, 0.3207, 0.0035, 0.0125, 0.0132, 0.0478, 0.0228, 0.029, 0.007, 0.0036]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 50.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=4.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=2.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 51.0]), label=3.0, probability=DenseVector([0.0233, 0.06, 0.2577, 0.1205, 0.0213, 0.3955, 0.0024, 0.0086, 0.0151, 0.0372, 0.0268, 0.021, 0.0068, 0.0038]))
Row(prediction=5.0, features=DenseVector([41.0, 39.0, 55.0]), label=3.0, probability=DenseVector([0.044, 0.0823, 0.2044, 0.1133, 0.0436, 0.3138, 0.0035, 0.0128, 0.0215, 0.0795, 0.0395, 0.0206, 0.0172, 0.0039]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 48.0]), label=3.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 51.0]), label=3.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([41.0, 40.0, 52.0]), label=3.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=9.0, features=DenseVector([41.0, 41.0, 45.0]), label=4.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 50.0]), label=2.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=9.0, features=DenseVector([41.0, 43.0, 44.0]), label=3.0, probability=DenseVector([0.0327, 0.0333, 0.1479, 0.1934, 0.0363, 0.096, 0.0575, 0.0094, 0.018, 0.2662, 0.0156, 0.0559, 0.0158, 0.0221]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 49.0]), label=2.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 43.0, 52.0]), label=3.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=1.0, features=DenseVector([41.0, 44.0, 14.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([41.0, 44.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([41.0, 44.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([41.0, 44.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=9.0, features=DenseVector([41.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=9.0, features=DenseVector([41.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 46.0]), label=12.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 44.0, 51.0]), label=3.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=1.0, features=DenseVector([41.0, 45.0, 16.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=1.0, features=DenseVector([41.0, 45.0, 17.0]), label=1.0, probability=DenseVector([0.0328, 0.5384, 0.011, 0.0152, 0.013, 0.0003, 0.2506, 0.0015, 0.0056, 0.107, 0.0079, 0.0041, 0.0103, 0.0023]))
Row(prediction=9.0, features=DenseVector([41.0, 45.0, 45.0]), label=3.0, probability=DenseVector([0.0325, 0.0324, 0.1502, 0.1957, 0.0361, 0.0983, 0.0548, 0.0093, 0.0181, 0.2508, 0.0156, 0.0684, 0.0154, 0.0224]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0251, 0.0342, 0.1796, 0.2294, 0.0232, 0.1652, 0.0309, 0.0156, 0.0249, 0.1672, 0.0088, 0.056, 0.0147, 0.0251]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0227, 0.0322, 0.1865, 0.2654, 0.0203, 0.2066, 0.0224, 0.0178, 0.0265, 0.1256, 0.0087, 0.028, 0.0126, 0.0248]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([41.0, 45.0, 49.0]), label=3.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=1.0, features=DenseVector([41.0, 46.0, 16.0]), label=1.0, probability=DenseVector([0.036, 0.5068, 0.0111, 0.0155, 0.0135, 0.0003, 0.2839, 0.0023, 0.0063, 0.1, 0.0079, 0.0033, 0.0108, 0.0023]))
Row(prediction=9.0, features=DenseVector([41.0, 46.0, 45.0]), label=3.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 46.0]), label=2.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0213, 0.0297, 0.171, 0.2347, 0.0233, 0.1475, 0.0411, 0.0088, 0.0157, 0.1882, 0.0083, 0.0568, 0.0134, 0.0401]))
Row(prediction=3.0, features=DenseVector([41.0, 46.0, 48.0]), label=2.0, probability=DenseVector([0.0111, 0.0269, 0.2151, 0.3383, 0.0148, 0.1754, 0.018, 0.017, 0.0218, 0.0866, 0.0075, 0.0194, 0.0096, 0.0384]))
Row(prediction=9.0, features=DenseVector([41.0, 47.0, 45.0]), label=2.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=9.0, features=DenseVector([41.0, 47.0, 45.0]), label=1.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=9.0, features=DenseVector([41.0, 47.0, 45.0]), label=3.0, probability=DenseVector([0.024, 0.0308, 0.15, 0.2167, 0.0292, 0.093, 0.0594, 0.008, 0.0154, 0.247, 0.0093, 0.0627, 0.0139, 0.0406]))
Row(prediction=9.0, features=DenseVector([41.0, 48.0, 43.0]), label=3.0, probability=DenseVector([0.025, 0.042, 0.1343, 0.2032, 0.0298, 0.0719, 0.0837, 0.0075, 0.0156, 0.277, 0.0098, 0.0441, 0.0148, 0.0413]))
Row(prediction=9.0, features=DenseVector([41.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0242, 0.0317, 0.1478, 0.2143, 0.0293, 0.0907, 0.062, 0.0081, 0.0153, 0.2624, 0.0094, 0.0502, 0.0143, 0.0404]))
Row(prediction=3.0, features=DenseVector([41.0, 48.0, 47.0]), label=2.0, probability=DenseVector([0.0189, 0.0277, 0.1779, 0.2707, 0.0204, 0.1888, 0.0326, 0.011, 0.0173, 0.1466, 0.0082, 0.0288, 0.0113, 0.0398]))
Row(prediction=3.0, features=DenseVector([41.0, 48.0, 49.0]), label=3.0, probability=DenseVector([0.0119, 0.0306, 0.1948, 0.3033, 0.0184, 0.1593, 0.0258, 0.0157, 0.0223, 0.1398, 0.0083, 0.0195, 0.0125, 0.0378]))
Row(prediction=3.0, features=DenseVector([41.0, 48.0, 53.0]), label=1.0, probability=DenseVector([0.0297, 0.0558, 0.1743, 0.2418, 0.0333, 0.1431, 0.02, 0.0212, 0.0442, 0.1508, 0.0182, 0.0224, 0.0235, 0.0215]))
Row(prediction=6.0, features=DenseVector([41.0, 51.0, 23.0]), label=1.0, probability=DenseVector([0.0523, 0.0594, 0.0112, 0.0216, 0.0199, 0.0, 0.7149, 0.0114, 0.0251, 0.046, 0.0025, 0.0078, 0.0278, 0.0001]))
Row(prediction=9.0, features=DenseVector([41.0, 52.0, 49.0]), label=4.0, probability=DenseVector([0.0082, 0.0333, 0.1528, 0.2414, 0.0275, 0.1156, 0.0637, 0.0091, 0.0192, 0.2662, 0.0087, 0.0206, 0.0185, 0.0153]))
Row(prediction=6.0, features=DenseVector([41.0, 57.0, 27.0]), label=1.0, probability=DenseVector([0.0322, 0.0236, 0.0074, 0.0129, 0.0117, 0.0, 0.8418, 0.0075, 0.0169, 0.0322, 0.0021, 0.0032, 0.0085, 0.0001]))
Row(prediction=6.0, features=DenseVector([41.0, 60.0, 29.0]), label=1.0, probability=DenseVector([0.0304, 0.0227, 0.0074, 0.0124, 0.0116, 0.0, 0.8477, 0.0071, 0.0159, 0.0313, 0.002, 0.0032, 0.0083, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 24.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 28.0, 51.0]), label=1.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 30.0, 52.0]), label=12.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=12.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 31.0, 52.0]), label=2.0, probability=DenseVector([0.0263, 0.1012, 0.557, 0.0189, 0.0246, 0.0217, 0.0006, 0.0087, 0.0119, 0.0628, 0.0165, 0.142, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 52.0]), label=2.0, probability=DenseVector([0.029, 0.0972, 0.5605, 0.0192, 0.0274, 0.0226, 0.0006, 0.009, 0.012, 0.0626, 0.019, 0.1329, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 32.0, 52.0]), label=12.0, probability=DenseVector([0.029, 0.0972, 0.5605, 0.0192, 0.0274, 0.0226, 0.0006, 0.009, 0.012, 0.0626, 0.019, 0.1329, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0342, 0.1002, 0.4867, 0.0304, 0.0324, 0.0886, 0.0007, 0.0098, 0.0103, 0.0512, 0.0242, 0.1187, 0.0097, 0.0028]))
Row(prediction=2.0, features=DenseVector([42.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0342, 0.1002, 0.4867, 0.0304, 0.0324, 0.0886, 0.0007, 0.0098, 0.0103, 0.0512, 0.0242, 0.1187, 0.0097, 0.0028]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 34.0, 52.0]), label=10.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=10.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 35.0, 52.0]), label=10.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([42.0, 36.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 49.0]), label=4.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 50.0]), label=3.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 37.0, 51.0]), label=2.0, probability=DenseVector([0.0218, 0.099, 0.5768, 0.0167, 0.022, 0.0287, 0.0008, 0.0046, 0.0058, 0.0488, 0.017, 0.1499, 0.007, 0.001]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([42.0, 39.0, 50.0]), label=3.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 49.0]), label=3.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 50.0]), label=2.0, probability=DenseVector([0.0145, 0.0505, 0.3577, 0.1985, 0.017, 0.1433, 0.0054, 0.0115, 0.0199, 0.0876, 0.009, 0.0684, 0.0096, 0.0071]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 50.0]), label=3.0, probability=DenseVector([0.0145, 0.0505, 0.3577, 0.1985, 0.017, 0.1433, 0.0054, 0.0115, 0.0199, 0.0876, 0.009, 0.0684, 0.0096, 0.0071]))
Row(prediction=2.0, features=DenseVector([42.0, 40.0, 61.0]), label=12.0, probability=DenseVector([0.0251, 0.0718, 0.2762, 0.1782, 0.0385, 0.0761, 0.0088, 0.0107, 0.0363, 0.1749, 0.016, 0.0592, 0.0256, 0.0025]))
Row(prediction=9.0, features=DenseVector([42.0, 41.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 50.0]), label=2.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 41.0, 59.0]), label=10.0, probability=DenseVector([0.025, 0.0669, 0.261, 0.1973, 0.0386, 0.0797, 0.0091, 0.0109, 0.0373, 0.1794, 0.0159, 0.0509, 0.0255, 0.0025]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 46.0]), label=3.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 48.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 49.0]), label=2.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 50.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([42.0, 42.0, 54.0]), label=12.0, probability=DenseVector([0.0249, 0.062, 0.2741, 0.2143, 0.0348, 0.0895, 0.007, 0.0158, 0.0329, 0.1568, 0.0141, 0.0493, 0.0205, 0.004]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 46.0]), label=3.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 48.0]), label=2.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 48.0]), label=3.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 49.0]), label=3.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 43.0, 51.0]), label=3.0, probability=DenseVector([0.0125, 0.0417, 0.3108, 0.262, 0.0167, 0.118, 0.0093, 0.0133, 0.0227, 0.1116, 0.0063, 0.0579, 0.0101, 0.0072]))
Row(prediction=1.0, features=DenseVector([42.0, 44.0, 16.0]), label=1.0, probability=DenseVector([0.0149, 0.4022, 0.0068, 0.0052, 0.0068, 0.0002, 0.1662, 0.0004, 0.0015, 0.358, 0.0021, 0.0185, 0.0171, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 44.0, 44.0]), label=3.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=9.0, features=DenseVector([42.0, 44.0, 45.0]), label=3.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 46.0]), label=2.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 46.0]), label=3.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 47.0]), label=3.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 48.0]), label=3.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 44.0, 49.0]), label=2.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=2.0, features=DenseVector([42.0, 45.0, 47.0]), label=3.0, probability=DenseVector([0.0204, 0.0371, 0.2515, 0.2132, 0.0214, 0.1425, 0.0239, 0.0087, 0.0178, 0.1771, 0.0064, 0.0586, 0.0122, 0.0093]))
Row(prediction=1.0, features=DenseVector([42.0, 46.0, 17.0]), label=1.0, probability=DenseVector([0.0179, 0.3962, 0.0069, 0.0056, 0.0077, 0.0002, 0.2006, 0.0012, 0.0022, 0.325, 0.0022, 0.0167, 0.0177, 0.0]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 46.0]), label=3.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 46.0, 47.0]), label=3.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=2.0, features=DenseVector([42.0, 46.0, 50.0]), label=3.0, probability=DenseVector([0.0081, 0.0398, 0.2556, 0.2496, 0.0186, 0.1005, 0.0395, 0.0074, 0.016, 0.1922, 0.0057, 0.0529, 0.012, 0.0021]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 42.0]), label=12.0, probability=DenseVector([0.0238, 0.0399, 0.0945, 0.133, 0.0311, 0.0434, 0.1155, 0.0007, 0.0088, 0.4216, 0.0069, 0.0584, 0.0183, 0.004]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 46.0]), label=2.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([42.0, 47.0, 47.0]), label=3.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 48.0, 46.0]), label=3.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([42.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.0221, 0.0384, 0.1108, 0.1367, 0.0307, 0.0459, 0.1007, 0.0008, 0.0087, 0.4142, 0.0064, 0.0632, 0.0178, 0.0037]))
Row(prediction=9.0, features=DenseVector([42.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 50.0, 47.0]), label=3.0, probability=DenseVector([0.0168, 0.0342, 0.2192, 0.2024, 0.0219, 0.1273, 0.0506, 0.003, 0.0106, 0.2366, 0.0061, 0.0546, 0.0126, 0.0041]))
Row(prediction=9.0, features=DenseVector([42.0, 53.0, 44.0]), label=12.0, probability=DenseVector([0.0186, 0.0328, 0.103, 0.1455, 0.0329, 0.0454, 0.1309, 0.0008, 0.0125, 0.3914, 0.0068, 0.0532, 0.018, 0.0081]))
Row(prediction=6.0, features=DenseVector([42.0, 54.0, 34.0]), label=1.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=9.0, features=DenseVector([43.0, 17.0, 31.0]), label=1.0, probability=DenseVector([0.0152, 0.0972, 0.0115, 0.0042, 0.0133, 0.0029, 0.0449, 0.0015, 0.0031, 0.7113, 0.0038, 0.0445, 0.0467, 0.0]))
Row(prediction=9.0, features=DenseVector([43.0, 23.0, 38.0]), label=1.0, probability=DenseVector([0.0225, 0.0991, 0.0161, 0.0056, 0.0199, 0.0046, 0.0585, 0.0012, 0.0054, 0.6517, 0.0087, 0.0663, 0.0403, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 24.0, 46.0]), label=2.0, probability=DenseVector([0.0092, 0.0791, 0.3736, 0.0354, 0.0126, 0.0365, 0.0065, 0.0004, 0.0026, 0.3223, 0.0037, 0.0947, 0.0228, 0.0008]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 47.0]), label=2.0, probability=DenseVector([0.0122, 0.0942, 0.4988, 0.0219, 0.0134, 0.036, 0.0019, 0.0011, 0.002, 0.1985, 0.0081, 0.095, 0.0164, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 25.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 27.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 29.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=12.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 52.0]), label=2.0, probability=DenseVector([0.0342, 0.1002, 0.4867, 0.0304, 0.0324, 0.0886, 0.0007, 0.0098, 0.0103, 0.0512, 0.0242, 0.1187, 0.0097, 0.0028]))
Row(prediction=2.0, features=DenseVector([43.0, 33.0, 53.0]), label=2.0, probability=DenseVector([0.0431, 0.1143, 0.3911, 0.0326, 0.0483, 0.088, 0.0026, 0.0099, 0.0138, 0.1098, 0.0307, 0.0968, 0.0162, 0.0028]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 34.0, 52.0]), label=2.0, probability=DenseVector([0.0337, 0.0973, 0.4841, 0.0303, 0.0323, 0.0954, 0.0007, 0.0102, 0.01, 0.0508, 0.0245, 0.1174, 0.0101, 0.0032]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([43.0, 37.0, 49.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([43.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 48.0]), label=3.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 39.0, 49.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 47.0]), label=2.0, probability=DenseVector([0.0212, 0.0423, 0.2897, 0.1862, 0.0216, 0.137, 0.0209, 0.0086, 0.0163, 0.1586, 0.0069, 0.069, 0.0123, 0.0093]))
Row(prediction=2.0, features=DenseVector([43.0, 40.0, 49.0]), label=2.0, probability=DenseVector([0.0145, 0.0486, 0.3709, 0.2004, 0.0171, 0.1264, 0.0054, 0.0115, 0.0199, 0.0906, 0.0079, 0.07, 0.0096, 0.0072]))
Row(prediction=9.0, features=DenseVector([43.0, 41.0, 39.0]), label=12.0, probability=DenseVector([0.0359, 0.0705, 0.0167, 0.0126, 0.0313, 0.0028, 0.0851, 0.001, 0.006, 0.5639, 0.0141, 0.1365, 0.0237, 0.0]))
Row(prediction=2.0, features=DenseVector([43.0, 41.0, 49.0]), label=2.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=2.0, features=DenseVector([43.0, 41.0, 50.0]), label=3.0, probability=DenseVector([0.0132, 0.042, 0.3337, 0.2541, 0.0171, 0.1161, 0.0066, 0.0134, 0.0222, 0.0976, 0.0067, 0.06, 0.01, 0.0073]))
Row(prediction=9.0, features=DenseVector([43.0, 42.0, 45.0]), label=3.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=9.0, features=DenseVector([43.0, 43.0, 42.0]), label=4.0, probability=DenseVector([0.0325, 0.041, 0.1209, 0.1221, 0.0381, 0.0462, 0.0858, 0.001, 0.0098, 0.397, 0.0127, 0.0684, 0.0187, 0.0058]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 40.0]), label=12.0, probability=DenseVector([0.0498, 0.0795, 0.0223, 0.0215, 0.0363, 0.0018, 0.1693, 0.0011, 0.0086, 0.5328, 0.0174, 0.0425, 0.0166, 0.0005]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 43.0]), label=3.0, probability=DenseVector([0.0307, 0.0395, 0.1372, 0.1258, 0.0377, 0.0487, 0.0711, 0.001, 0.0097, 0.3896, 0.0122, 0.0732, 0.0183, 0.0056]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 44.0]), label=3.0, probability=DenseVector([0.0298, 0.0347, 0.1551, 0.1343, 0.0369, 0.0508, 0.061, 0.001, 0.0093, 0.3591, 0.0123, 0.0917, 0.018, 0.006]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=9.0, features=DenseVector([43.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0293, 0.0301, 0.2008, 0.1625, 0.0349, 0.0601, 0.0502, 0.0012, 0.0096, 0.2926, 0.0124, 0.0942, 0.0158, 0.0063]))
Row(prediction=2.0, features=DenseVector([43.0, 44.0, 50.0]), label=12.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=2.0, features=DenseVector([43.0, 45.0, 46.0]), label=3.0, probability=DenseVector([0.0234, 0.0318, 0.2253, 0.1911, 0.0245, 0.1098, 0.0311, 0.007, 0.0159, 0.2252, 0.0059, 0.0836, 0.0154, 0.01]))
Row(prediction=2.0, features=DenseVector([43.0, 45.0, 48.0]), label=3.0, probability=DenseVector([0.0117, 0.0427, 0.288, 0.2604, 0.0181, 0.1157, 0.0127, 0.0132, 0.0232, 0.1327, 0.006, 0.0568, 0.0117, 0.0072]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 42.0]), label=4.0, probability=DenseVector([0.0238, 0.0399, 0.0945, 0.133, 0.0311, 0.0434, 0.1155, 0.0007, 0.0088, 0.4216, 0.0069, 0.0584, 0.0183, 0.004]))
Row(prediction=9.0, features=DenseVector([43.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 44.0]), label=3.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([43.0, 47.0, 46.0]), label=3.0, probability=DenseVector([0.0199, 0.0289, 0.193, 0.1803, 0.025, 0.0946, 0.0578, 0.0012, 0.0088, 0.2847, 0.0056, 0.0797, 0.0158, 0.0048]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 42.0]), label=1.0, probability=DenseVector([0.0238, 0.0399, 0.0945, 0.133, 0.0311, 0.0434, 0.1155, 0.0007, 0.0088, 0.4216, 0.0069, 0.0584, 0.0183, 0.004]))
Row(prediction=9.0, features=DenseVector([43.0, 48.0, 44.0]), label=3.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=6.0, features=DenseVector([43.0, 56.0, 37.0]), label=1.0, probability=DenseVector([0.0418, 0.0333, 0.0151, 0.0232, 0.0171, 0.0, 0.6904, 0.0079, 0.0285, 0.103, 0.0036, 0.0108, 0.0253, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 24.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 49.0]), label=12.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 28.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 29.0, 49.0]), label=12.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 33.0, 51.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 34.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([44.0, 37.0, 48.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([44.0, 38.0, 50.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([44.0, 38.0, 51.0]), label=2.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 47.0]), label=2.0, probability=DenseVector([0.0116, 0.0442, 0.306, 0.0626, 0.0217, 0.0804, 0.0211, 0.0012, 0.0054, 0.1495, 0.0067, 0.2776, 0.0111, 0.0008]))
Row(prediction=2.0, features=DenseVector([44.0, 39.0, 63.0]), label=4.0, probability=DenseVector([0.0316, 0.09, 0.307, 0.0696, 0.041, 0.1473, 0.0057, 0.0082, 0.0198, 0.1671, 0.0262, 0.0631, 0.0213, 0.002]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 47.0]), label=2.0, probability=DenseVector([0.0123, 0.0422, 0.3033, 0.119, 0.0207, 0.0751, 0.0226, 0.008, 0.0148, 0.1447, 0.0044, 0.2138, 0.0126, 0.0066]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 49.0]), label=4.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 53.0]), label=12.0, probability=DenseVector([0.0198, 0.0754, 0.2667, 0.1543, 0.0365, 0.0686, 0.0132, 0.0137, 0.0317, 0.2234, 0.0106, 0.057, 0.0257, 0.0035]))
Row(prediction=2.0, features=DenseVector([44.0, 40.0, 55.0]), label=12.0, probability=DenseVector([0.0203, 0.0779, 0.2594, 0.1462, 0.0378, 0.0642, 0.0148, 0.0114, 0.0347, 0.2342, 0.011, 0.0579, 0.0276, 0.0027]))
Row(prediction=11.0, features=DenseVector([44.0, 41.0, 45.0]), label=2.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([44.0, 41.0, 46.0]), label=2.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=9.0, features=DenseVector([44.0, 43.0, 36.0]), label=1.0, probability=DenseVector([0.0317, 0.1012, 0.0099, 0.0115, 0.0156, 0.0002, 0.1665, 0.0015, 0.0039, 0.5871, 0.0047, 0.0385, 0.0269, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 43.0, 43.0]), label=2.0, probability=DenseVector([0.0217, 0.0394, 0.1527, 0.0728, 0.0362, 0.0135, 0.0679, 0.0006, 0.0081, 0.3636, 0.009, 0.1922, 0.0195, 0.0028]))
Row(prediction=11.0, features=DenseVector([44.0, 43.0, 45.0]), label=2.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=9.0, features=DenseVector([44.0, 44.0, 44.0]), label=2.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([44.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([44.0, 44.0, 45.0]), label=2.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=9.0, features=DenseVector([44.0, 45.0, 43.0]), label=2.0, probability=DenseVector([0.0212, 0.0383, 0.1502, 0.079, 0.0356, 0.0135, 0.0766, 0.0005, 0.0078, 0.3535, 0.0093, 0.1926, 0.019, 0.0028]))
Row(prediction=9.0, features=DenseVector([44.0, 45.0, 43.0]), label=2.0, probability=DenseVector([0.0212, 0.0383, 0.1502, 0.079, 0.0356, 0.0135, 0.0766, 0.0005, 0.0078, 0.3535, 0.0093, 0.1926, 0.019, 0.0028]))
Row(prediction=9.0, features=DenseVector([44.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=9.0, features=DenseVector([44.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=9.0, features=DenseVector([44.0, 45.0, 44.0]), label=2.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=2.0, features=DenseVector([44.0, 45.0, 49.0]), label=1.0, probability=DenseVector([0.0115, 0.0535, 0.2763, 0.1848, 0.0237, 0.0877, 0.0235, 0.0111, 0.0236, 0.2051, 0.0054, 0.0718, 0.0156, 0.0065]))
Row(prediction=9.0, features=DenseVector([44.0, 46.0, 40.0]), label=4.0, probability=DenseVector([0.0332, 0.0565, 0.0169, 0.0204, 0.0253, 0.0002, 0.1578, 0.0004, 0.0066, 0.5489, 0.0078, 0.111, 0.0146, 0.0004]))
Row(prediction=9.0, features=DenseVector([44.0, 47.0, 44.0]), label=2.0, probability=DenseVector([0.0126, 0.0346, 0.1468, 0.0862, 0.0288, 0.0128, 0.0789, 0.0004, 0.0069, 0.3677, 0.0031, 0.2003, 0.0195, 0.0014]))
Row(prediction=9.0, features=DenseVector([44.0, 47.0, 44.0]), label=1.0, probability=DenseVector([0.0126, 0.0346, 0.1468, 0.0862, 0.0288, 0.0128, 0.0789, 0.0004, 0.0069, 0.3677, 0.0031, 0.2003, 0.0195, 0.0014]))
Row(prediction=9.0, features=DenseVector([44.0, 49.0, 43.0]), label=3.0, probability=DenseVector([0.013, 0.0383, 0.1263, 0.0838, 0.0291, 0.0107, 0.0976, 0.0003, 0.0071, 0.3881, 0.0033, 0.1822, 0.0191, 0.001]))
Row(prediction=6.0, features=DenseVector([44.0, 50.0, 35.0]), label=1.0, probability=DenseVector([0.0449, 0.0546, 0.0172, 0.0238, 0.0182, 0.0001, 0.5387, 0.0088, 0.0221, 0.2273, 0.0036, 0.0208, 0.0196, 0.0003]))
Row(prediction=6.0, features=DenseVector([44.0, 51.0, 25.0]), label=1.0, probability=DenseVector([0.0515, 0.0556, 0.0112, 0.021, 0.0187, 0.0, 0.7267, 0.0114, 0.0249, 0.0472, 0.0025, 0.0069, 0.0223, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 23.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 25.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=9.0, features=DenseVector([45.0, 26.0, 32.0]), label=1.0, probability=DenseVector([0.012, 0.0915, 0.0103, 0.0041, 0.0108, 0.0016, 0.0376, 0.0015, 0.0024, 0.7236, 0.0019, 0.0516, 0.0511, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 26.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=9.0, features=DenseVector([45.0, 27.0, 45.0]), label=2.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 27.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 28.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 29.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=11.0, features=DenseVector([45.0, 30.0, 47.0]), label=12.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 30.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 50.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 31.0, 51.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=11.0, features=DenseVector([45.0, 32.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 32.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([45.0, 34.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([45.0, 34.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 49.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 35.0, 61.0]), label=12.0, probability=DenseVector([0.039, 0.1143, 0.3613, 0.0327, 0.0503, 0.0695, 0.0041, 0.0089, 0.0167, 0.1557, 0.0268, 0.0965, 0.0223, 0.0019]))
Row(prediction=11.0, features=DenseVector([45.0, 36.0, 46.0]), label=12.0, probability=DenseVector([0.0086, 0.0428, 0.2322, 0.0357, 0.0181, 0.0169, 0.0145, 0.0003, 0.0025, 0.1874, 0.0024, 0.4238, 0.0137, 0.0012]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 36.0, 50.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([45.0, 37.0, 48.0]), label=2.0, probability=DenseVector([0.0231, 0.1004, 0.5803, 0.0159, 0.0227, 0.0168, 0.0019, 0.0073, 0.0047, 0.0512, 0.0168, 0.1511, 0.0076, 0.0002]))
Row(prediction=2.0, features=DenseVector([45.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([45.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([45.0, 39.0, 60.0]), label=1.0, probability=DenseVector([0.0316, 0.09, 0.307, 0.0696, 0.041, 0.1473, 0.0057, 0.0082, 0.0198, 0.1671, 0.0262, 0.0631, 0.0213, 0.002]))
Row(prediction=11.0, features=DenseVector([45.0, 40.0, 45.0]), label=12.0, probability=DenseVector([0.0184, 0.0346, 0.2233, 0.0785, 0.0331, 0.0182, 0.0458, 0.0005, 0.0067, 0.2495, 0.0094, 0.2618, 0.0166, 0.0035]))
Row(prediction=11.0, features=DenseVector([45.0, 40.0, 46.0]), label=2.0, probability=DenseVector([0.0126, 0.036, 0.2499, 0.0938, 0.0233, 0.0417, 0.0309, 0.0061, 0.0128, 0.1952, 0.003, 0.2722, 0.0153, 0.0069]))
Row(prediction=9.0, features=DenseVector([45.0, 41.0, 43.0]), label=12.0, probability=DenseVector([0.0217, 0.0387, 0.1527, 0.0705, 0.036, 0.0137, 0.0604, 0.0007, 0.0079, 0.3703, 0.0095, 0.1944, 0.0207, 0.0028]))
Row(prediction=9.0, features=DenseVector([45.0, 41.0, 44.0]), label=4.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([45.0, 41.0, 45.0]), label=2.0, probability=DenseVector([0.0182, 0.0311, 0.2086, 0.0814, 0.0337, 0.0179, 0.0464, 0.0005, 0.0077, 0.2587, 0.0092, 0.2661, 0.0171, 0.0035]))
Row(prediction=11.0, features=DenseVector([45.0, 41.0, 46.0]), label=2.0, probability=DenseVector([0.0124, 0.0325, 0.2352, 0.0967, 0.0239, 0.0414, 0.0315, 0.0061, 0.0138, 0.2043, 0.0028, 0.2766, 0.0158, 0.0069]))
Row(prediction=2.0, features=DenseVector([45.0, 41.0, 48.0]), label=2.0, probability=DenseVector([0.0131, 0.0528, 0.3221, 0.1785, 0.0227, 0.0881, 0.0173, 0.0113, 0.0226, 0.17, 0.006, 0.075, 0.014, 0.0066]))
Row(prediction=9.0, features=DenseVector([45.0, 42.0, 44.0]), label=2.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=2.0, features=DenseVector([45.0, 42.0, 49.0]), label=3.0, probability=DenseVector([0.0131, 0.0528, 0.3221, 0.1785, 0.0227, 0.0881, 0.0173, 0.0113, 0.0226, 0.17, 0.006, 0.075, 0.014, 0.0066]))
Row(prediction=9.0, features=DenseVector([45.0, 46.0, 44.0]), label=2.0, probability=DenseVector([0.0126, 0.0346, 0.1468, 0.0862, 0.0288, 0.0128, 0.0789, 0.0004, 0.0069, 0.3677, 0.0031, 0.2003, 0.0195, 0.0014]))
Row(prediction=9.0, features=DenseVector([45.0, 47.0, 43.0]), label=1.0, probability=DenseVector([0.013, 0.0383, 0.1263, 0.0838, 0.0291, 0.0107, 0.0976, 0.0003, 0.0071, 0.3881, 0.0033, 0.1822, 0.0191, 0.001]))
Row(prediction=9.0, features=DenseVector([45.0, 48.0, 43.0]), label=1.0, probability=DenseVector([0.013, 0.0383, 0.1263, 0.0838, 0.0291, 0.0107, 0.0976, 0.0003, 0.0071, 0.3881, 0.0033, 0.1822, 0.0191, 0.001]))
Row(prediction=2.0, features=DenseVector([46.0, 23.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=9.0, features=DenseVector([46.0, 26.0, 45.0]), label=2.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([46.0, 27.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 28.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 29.0, 47.0]), label=2.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 30.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 30.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=11.0, features=DenseVector([46.0, 31.0, 46.0]), label=2.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 31.0, 49.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([46.0, 33.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([46.0, 33.0, 62.0]), label=12.0, probability=DenseVector([0.039, 0.1143, 0.3613, 0.0327, 0.0503, 0.0695, 0.0041, 0.0089, 0.0167, 0.1557, 0.0268, 0.0965, 0.0223, 0.0019]))
Row(prediction=11.0, features=DenseVector([46.0, 35.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([46.0, 35.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([46.0, 38.0, 46.0]), label=2.0, probability=DenseVector([0.0095, 0.0351, 0.2309, 0.0565, 0.0196, 0.0225, 0.0197, 0.0003, 0.004, 0.1877, 0.0022, 0.3974, 0.013, 0.0014]))
Row(prediction=2.0, features=DenseVector([46.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=9.0, features=DenseVector([46.0, 39.0, 44.0]), label=2.0, probability=DenseVector([0.0139, 0.0361, 0.1696, 0.069, 0.0284, 0.0144, 0.0515, 0.0004, 0.0058, 0.3212, 0.003, 0.2673, 0.0181, 0.0012]))
Row(prediction=11.0, features=DenseVector([46.0, 39.0, 46.0]), label=2.0, probability=DenseVector([0.0104, 0.0346, 0.2404, 0.0659, 0.0234, 0.0282, 0.0303, 0.0004, 0.0045, 0.2082, 0.0026, 0.3353, 0.0143, 0.0016]))
Row(prediction=2.0, features=DenseVector([46.0, 39.0, 47.0]), label=2.0, probability=DenseVector([0.0116, 0.0442, 0.306, 0.0626, 0.0217, 0.0804, 0.0211, 0.0012, 0.0054, 0.1495, 0.0067, 0.2776, 0.0111, 0.0008]))
Row(prediction=2.0, features=DenseVector([46.0, 39.0, 47.0]), label=2.0, probability=DenseVector([0.0116, 0.0442, 0.306, 0.0626, 0.0217, 0.0804, 0.0211, 0.0012, 0.0054, 0.1495, 0.0067, 0.2776, 0.0111, 0.0008]))
Row(prediction=11.0, features=DenseVector([46.0, 40.0, 46.0]), label=2.0, probability=DenseVector([0.0126, 0.036, 0.2499, 0.0938, 0.0233, 0.0417, 0.0309, 0.0061, 0.0128, 0.1952, 0.003, 0.2722, 0.0153, 0.0069]))
Row(prediction=11.0, features=DenseVector([46.0, 40.0, 46.0]), label=2.0, probability=DenseVector([0.0126, 0.036, 0.2499, 0.0938, 0.0233, 0.0417, 0.0309, 0.0061, 0.0128, 0.1952, 0.003, 0.2722, 0.0153, 0.0069]))
Row(prediction=2.0, features=DenseVector([46.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([46.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([46.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=2.0, features=DenseVector([46.0, 40.0, 48.0]), label=2.0, probability=DenseVector([0.0142, 0.0558, 0.3656, 0.1619, 0.0214, 0.1099, 0.011, 0.0104, 0.0199, 0.1315, 0.0074, 0.0713, 0.013, 0.0067]))
Row(prediction=9.0, features=DenseVector([46.0, 44.0, 42.0]), label=12.0, probability=DenseVector([0.0234, 0.0409, 0.1364, 0.0692, 0.0366, 0.0111, 0.0827, 0.0006, 0.0082, 0.371, 0.0096, 0.1874, 0.02, 0.0031]))
Row(prediction=2.0, features=DenseVector([46.0, 45.0, 52.0]), label=12.0, probability=DenseVector([0.018, 0.0663, 0.2518, 0.164, 0.033, 0.0688, 0.0188, 0.0136, 0.0312, 0.2314, 0.0086, 0.0672, 0.0239, 0.0034]))
Row(prediction=6.0, features=DenseVector([46.0, 49.0, 35.0]), label=1.0, probability=DenseVector([0.0454, 0.0592, 0.0172, 0.0231, 0.0178, 0.0001, 0.536, 0.0088, 0.0219, 0.2265, 0.0036, 0.0205, 0.0195, 0.0003]))
Row(prediction=9.0, features=DenseVector([46.0, 51.0, 52.0]), label=2.0, probability=DenseVector([0.0109, 0.0513, 0.0826, 0.1144, 0.0462, 0.0351, 0.0787, 0.0057, 0.029, 0.4751, 0.0116, 0.02, 0.037, 0.0025]))
Row(prediction=9.0, features=DenseVector([47.0, 26.0, 45.0]), label=2.0, probability=DenseVector([0.0051, 0.0765, 0.3455, 0.0109, 0.0122, 0.0027, 0.0076, 0.0002, 0.0013, 0.3487, 0.0017, 0.1664, 0.0211, 0.0002]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 46.0]), label=2.0, probability=DenseVector([0.0042, 0.0768, 0.3742, 0.007, 0.0107, 0.0033, 0.0037, 0.0002, 0.0011, 0.2993, 0.0015, 0.1983, 0.0198, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 27.0, 48.0]), label=2.0, probability=DenseVector([0.0181, 0.1046, 0.5948, 0.0096, 0.0189, 0.0129, 0.0005, 0.0019, 0.0014, 0.0514, 0.0138, 0.1652, 0.0067, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 28.0, 47.0]), label=4.0, probability=DenseVector([0.0091, 0.0925, 0.5035, 0.0045, 0.0117, 0.0054, 0.0007, 0.0009, 0.0011, 0.1871, 0.0062, 0.1632, 0.014, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 46.0]), label=2.0, probability=DenseVector([0.0067, 0.0445, 0.2197, 0.0171, 0.0164, 0.0037, 0.012, 0.0002, 0.0021, 0.18, 0.0017, 0.4819, 0.0137, 0.0003]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 31.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=12.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([47.0, 32.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 32.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([47.0, 34.0, 47.0]), label=2.0, probability=DenseVector([0.0105, 0.0645, 0.3605, 0.0081, 0.0169, 0.004, 0.008, 0.0009, 0.0015, 0.1114, 0.0063, 0.3983, 0.009, 0.0]))
Row(prediction=2.0, features=DenseVector([47.0, 35.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 36.0, 48.0]), label=2.0, probability=DenseVector([0.0208, 0.1006, 0.5983, 0.01, 0.0217, 0.0138, 0.0005, 0.0023, 0.0016, 0.0513, 0.0163, 0.1561, 0.0066, 0.0001]))
Row(prediction=11.0, features=DenseVector([47.0, 38.0, 47.0]), label=2.0, probability=DenseVector([0.0107, 0.0446, 0.2966, 0.0532, 0.0179, 0.0748, 0.0105, 0.0011, 0.0049, 0.129, 0.0064, 0.3397, 0.0098, 0.0007]))
Row(prediction=2.0, features=DenseVector([47.0, 38.0, 48.0]), label=2.0, probability=DenseVector([0.0207, 0.0585, 0.4553, 0.0827, 0.0213, 0.1511, 0.0044, 0.0069, 0.0096, 0.0865, 0.0141, 0.0804, 0.0079, 0.0005]))
Row(prediction=2.0, features=DenseVector([47.0, 38.0, 50.0]), label=4.0, probability=DenseVector([0.019, 0.0627, 0.4088, 0.0772, 0.0213, 0.2183, 0.0034, 0.0044, 0.0111, 0.0753, 0.0173, 0.0725, 0.0073, 0.0013]))
Row(prediction=2.0, features=DenseVector([47.0, 39.0, 47.0]), label=2.0, probability=DenseVector([0.0116, 0.0442, 0.306, 0.0626, 0.0217, 0.0804, 0.0211, 0.0012, 0.0054, 0.1495, 0.0067, 0.2776, 0.0111, 0.0008]))
Row(prediction=2.0, features=DenseVector([47.0, 39.0, 63.0]), label=4.0, probability=DenseVector([0.0316, 0.09, 0.307, 0.0696, 0.041, 0.1473, 0.0057, 0.0082, 0.0198, 0.1671, 0.0262, 0.0631, 0.0213, 0.002]))
Row(prediction=9.0, features=DenseVector([47.0, 41.0, 44.0]), label=4.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=9.0, features=DenseVector([47.0, 42.0, 42.0]), label=12.0, probability=DenseVector([0.0219, 0.0418, 0.1356, 0.0639, 0.0355, 0.0113, 0.062, 0.0007, 0.0075, 0.392, 0.0096, 0.1932, 0.022, 0.0028]))
Row(prediction=9.0, features=DenseVector([47.0, 44.0, 61.0]), label=4.0, probability=DenseVector([0.0182, 0.0774, 0.1931, 0.1465, 0.042, 0.0581, 0.0221, 0.0085, 0.038, 0.2902, 0.0115, 0.0597, 0.0327, 0.0019]))
Row(prediction=9.0, features=DenseVector([47.0, 45.0, 44.0]), label=11.0, probability=DenseVector([0.0208, 0.0346, 0.1707, 0.0814, 0.0353, 0.0156, 0.0579, 0.0006, 0.0077, 0.333, 0.0092, 0.2107, 0.0193, 0.0032]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 35.0, 47.0]), label=12.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 37.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([48.0, 39.0, 47.0]), label=4.0, probability=DenseVector([0.0024, 0.0351, 0.0607, 0.0108, 0.0212, 0.0057, 0.0273, 0.0002, 0.0012, 0.1668, 0.0007, 0.6605, 0.0073, 0.0002]))
Row(prediction=11.0, features=DenseVector([48.0, 40.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([48.0, 43.0, 42.0]), label=11.0, probability=DenseVector([0.0096, 0.0351, 0.0558, 0.0249, 0.0522, 0.0068, 0.1156, 0.0003, 0.0042, 0.3626, 0.0068, 0.3122, 0.0116, 0.0022]))
Row(prediction=9.0, features=DenseVector([48.0, 44.0, 41.0]), label=1.0, probability=DenseVector([0.0193, 0.0361, 0.0277, 0.0182, 0.037, 0.0062, 0.1297, 0.0004, 0.0034, 0.4262, 0.0081, 0.2798, 0.0068, 0.0012]))
Row(prediction=6.0, features=DenseVector([48.0, 50.0, 37.0]), label=1.0, probability=DenseVector([0.0345, 0.0383, 0.0198, 0.0214, 0.0232, 0.0, 0.4229, 0.0068, 0.0266, 0.2612, 0.0036, 0.1287, 0.0129, 0.0001]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 43.0]), label=4.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 33.0, 47.0]), label=2.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 40.0]), label=4.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 37.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([49.0, 42.0, 44.0]), label=4.0, probability=DenseVector([0.0094, 0.0367, 0.0602, 0.0244, 0.0483, 0.0068, 0.0873, 0.0004, 0.0041, 0.3159, 0.0069, 0.3863, 0.0112, 0.0022]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 35.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([50.0, 38.0, 41.0]), label=11.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=9.0, features=DenseVector([50.0, 41.0, 52.0]), label=1.0, probability=DenseVector([0.0132, 0.0936, 0.114, 0.0829, 0.0514, 0.0323, 0.0441, 0.0115, 0.0257, 0.4044, 0.006, 0.0782, 0.04, 0.0028]))
Row(prediction=11.0, features=DenseVector([50.0, 42.0, 43.0]), label=4.0, probability=DenseVector([0.0096, 0.0351, 0.0596, 0.0246, 0.0493, 0.0068, 0.0893, 0.0004, 0.0042, 0.3201, 0.0068, 0.3806, 0.0114, 0.0022]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 40.0]), label=4.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 34.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 40.0]), label=4.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 42.0]), label=11.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 36.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 37.0, 41.0]), label=4.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 37.0, 42.0]), label=4.0, probability=DenseVector([0.0018, 0.032, 0.047, 0.0016, 0.0151, 0.0, 0.0122, 0.0002, 0.0005, 0.1385, 0.0003, 0.7447, 0.0062, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 37.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 37.0, 44.0]), label=11.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 38.0, 43.0]), label=11.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([51.0, 40.0, 40.0]), label=11.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=9.0, features=DenseVector([51.0, 45.0, 42.0]), label=11.0, probability=DenseVector([0.0096, 0.0351, 0.0558, 0.0249, 0.0522, 0.0068, 0.1156, 0.0003, 0.0042, 0.3626, 0.0068, 0.3122, 0.0116, 0.0022]))
Row(prediction=11.0, features=DenseVector([52.0, 35.0, 45.0]), label=4.0, probability=DenseVector([0.0015, 0.0353, 0.0488, 0.0014, 0.0138, 0.0, 0.0088, 0.0002, 0.0004, 0.1297, 0.0003, 0.7539, 0.0059, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 36.0, 41.0]), label=4.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=9.0, features=DenseVector([52.0, 37.0, 33.0]), label=3.0, probability=DenseVector([0.0171, 0.0917, 0.005, 0.0035, 0.0125, 0.0013, 0.0579, 0.0037, 0.0011, 0.6707, 0.0017, 0.0968, 0.0369, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 37.0, 40.0]), label=4.0, probability=DenseVector([0.0065, 0.0289, 0.0075, 0.0018, 0.0178, 0.0, 0.022, 0.0002, 0.0008, 0.2945, 0.0028, 0.6081, 0.009, 0.0]))
Row(prediction=11.0, features=DenseVector([52.0, 37.0, 43.0]), label=4.0, probability=DenseVector([0.0017, 0.0337, 0.0482, 0.0016, 0.0148, 0.0, 0.0108, 0.0002, 0.0005, 0.1339, 0.0003, 0.7482, 0.0061, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 36.0, 41.0]), label=4.0, probability=DenseVector([0.0057, 0.0297, 0.0197, 0.0016, 0.018, 0.0, 0.0175, 0.0001, 0.0007, 0.247, 0.002, 0.6496, 0.0082, 0.0]))
Row(prediction=11.0, features=DenseVector([54.0, 41.0, 44.0]), label=11.0, probability=DenseVector([0.0094, 0.0367, 0.0602, 0.0244, 0.0483, 0.0068, 0.0873, 0.0004, 0.0041, 0.3159, 0.0069, 0.3863, 0.0112, 0.0022]))
Row(prediction=0.0, features=DenseVector([0.0, 33.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 33.0, 40.0]), label=10.0, probability=DenseVector([0.5029, 0.091, 0.0, 0.0101, 0.1376, 0.0, 0.0832, 0.046, 0.0116, 0.0057, 0.0936, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 34.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 29.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 36.0, 34.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 30.0]), label=7.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 25.0]), label=10.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 30.0]), label=10.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 33.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 40.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 29.0]), label=10.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 41.0, 39.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([0.0, 42.0, 36.0]), label=10.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=10.0, features=DenseVector([0.0, 45.0, 34.0]), label=10.0, probability=DenseVector([0.3074, 0.0154, 0.0, 0.0, 0.2429, 0.0, 0.0746, 0.0215, 0.0104, 0.0049, 0.3146, 0.0, 0.0083, 0.0]))
Row(prediction=1.0, features=DenseVector([1.0, 29.0, 23.0]), label=7.0, probability=DenseVector([0.1317, 0.2524, 0.0, 0.0003, 0.1842, 0.0, 0.0184, 0.1999, 0.0935, 0.0011, 0.0743, 0.0, 0.0441, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 31.0, 38.0]), label=4.0, probability=DenseVector([0.3066, 0.2246, 0.0, 0.0012, 0.1964, 0.0, 0.0539, 0.1033, 0.0314, 0.001, 0.0524, 0.0001, 0.0293, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 34.0, 30.0]), label=7.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 35.0, 35.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 28.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 29.0]), label=4.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 39.0, 38.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 30.0]), label=7.0, probability=DenseVector([0.3151, 0.0264, 0.0, 0.0, 0.27, 0.0, 0.0501, 0.0294, 0.0152, 0.0056, 0.2753, 0.0, 0.0127, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 43.0, 35.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 43.0, 35.0]), label=8.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 43.0, 37.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([1.0, 44.0, 36.0]), label=7.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 32.0, 25.0]), label=4.0, probability=DenseVector([0.3215, 0.1202, 0.0, 0.0011, 0.2513, 0.0, 0.0135, 0.1191, 0.0468, 0.0044, 0.0986, 0.0, 0.0234, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 37.0, 39.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 29.0]), label=4.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 40.0, 41.0]), label=10.0, probability=DenseVector([0.468, 0.1619, 0.0003, 0.0034, 0.0918, 0.0002, 0.0571, 0.0432, 0.0192, 0.0111, 0.1163, 0.0006, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 44.0, 35.0]), label=7.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([2.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 46.0, 44.0]), label=10.0, probability=DenseVector([0.0866, 0.0472, 0.0378, 0.0124, 0.0678, 0.0002, 0.4647, 0.0305, 0.0331, 0.0158, 0.1814, 0.0042, 0.0179, 0.0004]))
Row(prediction=6.0, features=DenseVector([2.0, 50.0, 35.0]), label=10.0, probability=DenseVector([0.1292, 0.0128, 0.0, 0.0, 0.0871, 0.0, 0.5168, 0.0235, 0.0159, 0.0087, 0.1926, 0.0005, 0.0128, 0.0]))
Row(prediction=6.0, features=DenseVector([2.0, 52.0, 40.0]), label=0.0, probability=DenseVector([0.0823, 0.0156, 0.0, 0.0, 0.0537, 0.0, 0.6341, 0.0094, 0.0086, 0.005, 0.1849, 0.0004, 0.006, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 32.0, 28.0]), label=4.0, probability=DenseVector([0.3215, 0.1202, 0.0, 0.0011, 0.2513, 0.0, 0.0135, 0.1191, 0.0468, 0.0044, 0.0986, 0.0, 0.0234, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 32.0, 32.0]), label=4.0, probability=DenseVector([0.4856, 0.0755, 0.0, 0.0028, 0.255, 0.0, 0.0098, 0.0497, 0.0212, 0.0051, 0.0797, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 33.0, 22.0]), label=1.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 33.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 34.0, 28.0]), label=8.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 35.0, 39.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 29.0]), label=4.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 31.0]), label=4.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 31.0]), label=8.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([3.0, 43.0, 31.0]), label=8.0, probability=DenseVector([0.3025, 0.0222, 0.0, 0.0, 0.2726, 0.0, 0.0558, 0.0262, 0.013, 0.005, 0.2906, 0.0, 0.0121, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 43.0, 41.0]), label=10.0, probability=DenseVector([0.216, 0.1179, 0.0024, 0.0013, 0.1183, 0.0, 0.205, 0.0432, 0.022, 0.0203, 0.2353, 0.0007, 0.0177, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 43.0, 41.0]), label=10.0, probability=DenseVector([0.216, 0.1179, 0.0024, 0.0013, 0.1183, 0.0, 0.205, 0.0432, 0.022, 0.0203, 0.2353, 0.0007, 0.0177, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 46.0, 35.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=10.0, features=DenseVector([3.0, 47.0, 37.0]), label=10.0, probability=DenseVector([0.2898, 0.0167, 0.0, 0.0, 0.2322, 0.0, 0.0985, 0.0225, 0.0108, 0.0062, 0.315, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([3.0, 53.0, 39.0]), label=10.0, probability=DenseVector([0.1221, 0.0132, 0.0, 0.0, 0.0743, 0.0, 0.5879, 0.0157, 0.0097, 0.0077, 0.1608, 0.001, 0.0075, 0.0]))
Row(prediction=1.0, features=DenseVector([4.0, 26.0, 22.0]), label=8.0, probability=DenseVector([0.1206, 0.2448, 0.0, 0.0003, 0.1796, 0.0, 0.0224, 0.2375, 0.0789, 0.0011, 0.0735, 0.0, 0.0412, 0.0]))
Row(prediction=1.0, features=DenseVector([4.0, 27.0, 29.0]), label=7.0, probability=DenseVector([0.1317, 0.2524, 0.0, 0.0003, 0.1842, 0.0, 0.0184, 0.1999, 0.0935, 0.0011, 0.0743, 0.0, 0.0441, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 31.0, 33.0]), label=4.0, probability=DenseVector([0.3416, 0.2266, 0.0, 0.002, 0.1785, 0.0, 0.0292, 0.1073, 0.038, 0.0006, 0.0465, 0.0, 0.0296, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 34.0, 30.0]), label=7.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 37.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 22.0]), label=7.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 31.0]), label=4.0, probability=DenseVector([0.4034, 0.0402, 0.0, 0.0002, 0.3097, 0.0, 0.0155, 0.0422, 0.0231, 0.0048, 0.1492, 0.0, 0.0116, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 24.0]), label=1.0, probability=DenseVector([0.3784, 0.0689, 0.0, 0.0001, 0.2545, 0.0, 0.0229, 0.0676, 0.0285, 0.0048, 0.1588, 0.0, 0.0156, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 40.0]), label=4.0, probability=DenseVector([0.5694, 0.0671, 0.0, 0.0003, 0.1328, 0.0, 0.0412, 0.033, 0.012, 0.0089, 0.1206, 0.0001, 0.0145, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 40.0, 41.0]), label=10.0, probability=DenseVector([0.468, 0.1619, 0.0003, 0.0034, 0.0918, 0.0002, 0.0571, 0.0432, 0.0192, 0.0111, 0.1163, 0.0006, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([4.0, 42.0, 32.0]), label=4.0, probability=DenseVector([0.3225, 0.0204, 0.0, 0.0, 0.2472, 0.0, 0.0605, 0.0255, 0.0128, 0.0061, 0.2954, 0.0, 0.0096, 0.0]))
Row(prediction=4.0, features=DenseVector([5.0, 30.0, 31.0]), label=4.0, probability=DenseVector([0.2468, 0.1724, 0.0, 0.0023, 0.287, 0.0, 0.0145, 0.1061, 0.0521, 0.0, 0.0817, 0.0, 0.0371, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 32.0, 37.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 31.0]), label=0.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 31.0]), label=7.0, probability=DenseVector([0.4053, 0.0433, 0.0, 0.0003, 0.3205, 0.0, 0.0134, 0.0438, 0.0217, 0.0046, 0.1361, 0.0, 0.0109, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 35.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 37.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 34.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 40.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 32.0]), label=4.0, probability=DenseVector([0.5381, 0.0402, 0.0, 0.0003, 0.254, 0.0, 0.0065, 0.0372, 0.0212, 0.0059, 0.0878, 0.0, 0.0088, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 41.0, 35.0]), label=7.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 42.0, 37.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([5.0, 43.0, 37.0]), label=10.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=6.0, features=DenseVector([5.0, 43.0, 45.0]), label=1.0, probability=DenseVector([0.1353, 0.1388, 0.0162, 0.0086, 0.0753, 0.0002, 0.3308, 0.049, 0.0449, 0.0218, 0.1306, 0.0039, 0.0442, 0.0003]))
Row(prediction=6.0, features=DenseVector([5.0, 50.0, 43.0]), label=8.0, probability=DenseVector([0.0687, 0.0452, 0.0264, 0.008, 0.0546, 0.0, 0.5763, 0.0144, 0.0189, 0.0163, 0.1542, 0.0018, 0.014, 0.0011]))
Row(prediction=1.0, features=DenseVector([6.0, 28.0, 32.0]), label=1.0, probability=DenseVector([0.2415, 0.2586, 0.0, 0.001, 0.1777, 0.0, 0.0251, 0.1563, 0.0514, 0.0008, 0.0548, 0.0001, 0.0327, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 32.0, 36.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 30.0]), label=1.0, probability=DenseVector([0.4003, 0.0476, 0.0, 0.0005, 0.3371, 0.0, 0.0107, 0.0499, 0.0237, 0.0046, 0.1161, 0.0, 0.0095, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 33.0, 42.0]), label=4.0, probability=DenseVector([0.3545, 0.1979, 0.0008, 0.0164, 0.0855, 0.0009, 0.1244, 0.0604, 0.0237, 0.0104, 0.0816, 0.0008, 0.0428, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.5413, 0.0419, 0.0, 0.0003, 0.2556, 0.0, 0.0062, 0.035, 0.0194, 0.0057, 0.0861, 0.0, 0.0085, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 34.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 24.0]), label=8.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 23.0]), label=8.0, probability=DenseVector([0.3753, 0.0763, 0.0, 0.0004, 0.2818, 0.0, 0.018, 0.0753, 0.0291, 0.0046, 0.1257, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 25.0]), label=8.0, probability=DenseVector([0.3803, 0.072, 0.0, 0.0002, 0.2652, 0.0, 0.0208, 0.0693, 0.027, 0.0046, 0.1457, 0.0, 0.0148, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 38.0, 39.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 38.0, 47.0]), label=1.0, probability=DenseVector([0.1703, 0.2036, 0.0009, 0.01, 0.0787, 0.0002, 0.2642, 0.0519, 0.061, 0.0134, 0.0717, 0.0032, 0.0711, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 40.0, 39.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 41.0, 41.0]), label=10.0, probability=DenseVector([0.468, 0.1619, 0.0003, 0.0034, 0.0918, 0.0002, 0.0571, 0.0432, 0.0192, 0.0111, 0.1163, 0.0006, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.3283, 0.0203, 0.0, 0.0, 0.2431, 0.0, 0.0618, 0.0257, 0.0128, 0.0062, 0.2927, 0.0, 0.0091, 0.0]))
Row(prediction=0.0, features=DenseVector([6.0, 43.0, 35.0]), label=7.0, probability=DenseVector([0.3157, 0.016, 0.0, 0.0, 0.2457, 0.0, 0.0675, 0.0224, 0.0106, 0.0056, 0.3079, 0.0, 0.0085, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 45.0, 29.0]), label=1.0, probability=DenseVector([0.2607, 0.0242, 0.0, 0.0, 0.2644, 0.0, 0.0819, 0.0356, 0.0258, 0.0027, 0.2875, 0.0, 0.0171, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 46.0, 24.0]), label=1.0, probability=DenseVector([0.2597, 0.0248, 0.0, 0.0, 0.2612, 0.0, 0.0855, 0.037, 0.0258, 0.0033, 0.2857, 0.0, 0.0171, 0.0]))
Row(prediction=10.0, features=DenseVector([6.0, 46.0, 35.0]), label=10.0, probability=DenseVector([0.3064, 0.016, 0.0, 0.0, 0.2396, 0.0, 0.0782, 0.0228, 0.0104, 0.0054, 0.3127, 0.0, 0.0083, 0.0]))
Row(prediction=6.0, features=DenseVector([6.0, 48.0, 37.0]), label=10.0, probability=DenseVector([0.1481, 0.0186, 0.0, 0.0, 0.1106, 0.0, 0.3984, 0.0232, 0.0109, 0.0165, 0.266, 0.0, 0.0077, 0.0]))
Row(prediction=1.0, features=DenseVector([7.0, 31.0, 23.0]), label=1.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 32.0, 36.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 33.0, 29.0]), label=8.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 28.0]), label=4.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 32.0]), label=7.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 37.0, 40.0]), label=4.0, probability=DenseVector([0.5463, 0.0821, 0.0, 0.0003, 0.1376, 0.0, 0.0378, 0.0356, 0.0101, 0.0115, 0.1184, 0.0001, 0.0203, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 31.0]), label=0.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 39.0, 41.0]), label=1.0, probability=DenseVector([0.4289, 0.1865, 0.0007, 0.0071, 0.0841, 0.0002, 0.0506, 0.0529, 0.026, 0.0145, 0.1079, 0.0019, 0.0387, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 33.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 35.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 41.0, 36.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 35.0]), label=7.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 43.0, 39.0]), label=8.0, probability=DenseVector([0.3783, 0.0545, 0.0003, 0.0001, 0.223, 0.0, 0.0331, 0.0426, 0.0232, 0.0265, 0.195, 0.0002, 0.0231, 0.0]))
Row(prediction=0.0, features=DenseVector([7.0, 44.0, 38.0]), label=4.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=6.0, features=DenseVector([7.0, 62.0, 42.0]), label=1.0, probability=DenseVector([0.1286, 0.1003, 0.0196, 0.0043, 0.0829, 0.0, 0.4073, 0.0179, 0.0342, 0.0352, 0.1308, 0.0045, 0.0342, 0.0002]))
Row(prediction=1.0, features=DenseVector([8.0, 29.0, 35.0]), label=4.0, probability=DenseVector([0.2599, 0.3498, 0.0, 0.0003, 0.114, 0.0, 0.026, 0.1435, 0.04, 0.0009, 0.0293, 0.0004, 0.036, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 34.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 36.0, 38.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 35.0]), label=7.0, probability=DenseVector([0.415, 0.0383, 0.0, 0.0, 0.2414, 0.0, 0.0241, 0.0416, 0.0223, 0.0211, 0.1752, 0.0, 0.021, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 40.0]), label=10.0, probability=DenseVector([0.2744, 0.068, 0.0003, 0.0001, 0.1886, 0.0, 0.0791, 0.0551, 0.0253, 0.0361, 0.2439, 0.0002, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 43.0, 40.0]), label=4.0, probability=DenseVector([0.2744, 0.068, 0.0003, 0.0001, 0.1886, 0.0, 0.0791, 0.0551, 0.0253, 0.0361, 0.2439, 0.0002, 0.0289, 0.0]))
Row(prediction=0.0, features=DenseVector([8.0, 49.0, 39.0]), label=7.0, probability=DenseVector([0.2694, 0.0495, 0.0002, 0.0, 0.1599, 0.0, 0.2484, 0.034, 0.019, 0.0432, 0.1489, 0.0009, 0.0265, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 18.0, 22.0]), label=8.0, probability=DenseVector([0.1255, 0.3317, 0.0, 0.0, 0.0804, 0.0, 0.0147, 0.2489, 0.1236, 0.0012, 0.0103, 0.0, 0.0639, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 28.0, 22.0]), label=7.0, probability=DenseVector([0.1377, 0.2972, 0.0, 0.0, 0.0903, 0.0, 0.0149, 0.2381, 0.1441, 0.0012, 0.0111, 0.0, 0.0654, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 29.0, 30.0]), label=7.0, probability=DenseVector([0.2439, 0.255, 0.0, 0.001, 0.1524, 0.0, 0.0108, 0.1621, 0.0847, 0.0004, 0.026, 0.0001, 0.0636, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 30.0, 29.0]), label=7.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 31.0, 34.0]), label=7.0, probability=DenseVector([0.3559, 0.2469, 0.0, 0.0014, 0.1653, 0.0, 0.0136, 0.111, 0.035, 0.0006, 0.0401, 0.0, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 31.0, 41.0]), label=4.0, probability=DenseVector([0.2083, 0.3113, 0.0007, 0.0092, 0.0883, 0.0009, 0.0566, 0.1162, 0.0182, 0.0268, 0.0528, 0.0007, 0.1099, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 32.0, 35.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 27.0]), label=1.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 29.0]), label=8.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 30.0]), label=4.0, probability=DenseVector([0.4897, 0.0724, 0.0, 0.0001, 0.2308, 0.0, 0.0072, 0.0584, 0.0411, 0.0047, 0.0704, 0.0, 0.0252, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 33.0, 35.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 30.0]), label=8.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 36.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 36.0, 45.0]), label=1.0, probability=DenseVector([0.1942, 0.3195, 0.0008, 0.0083, 0.0503, 0.0002, 0.0601, 0.1163, 0.038, 0.0127, 0.0564, 0.002, 0.1412, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 32.0]), label=0.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 36.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 37.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 26.0]), label=1.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 30.0]), label=8.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 31.0]), label=12.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=1.0, features=DenseVector([9.0, 39.0, 48.0]), label=1.0, probability=DenseVector([0.1735, 0.2701, 0.003, 0.0239, 0.0551, 0.0001, 0.1125, 0.0746, 0.0701, 0.0184, 0.0685, 0.0058, 0.1244, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 30.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 31.0]), label=4.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 32.0]), label=7.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 33.0]), label=0.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 35.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 42.0, 36.0]), label=4.0, probability=DenseVector([0.4231, 0.0394, 0.0, 0.0, 0.2422, 0.0, 0.0216, 0.0407, 0.0193, 0.0206, 0.1731, 0.0, 0.0198, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 44.0, 31.0]), label=8.0, probability=DenseVector([0.4124, 0.0471, 0.0, 0.0, 0.2456, 0.0, 0.0263, 0.0471, 0.0299, 0.0128, 0.1516, 0.0, 0.0272, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 47.0, 36.0]), label=10.0, probability=DenseVector([0.3939, 0.0384, 0.0, 0.0, 0.2316, 0.0, 0.0451, 0.0422, 0.024, 0.0223, 0.1833, 0.0, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([9.0, 48.0, 36.0]), label=7.0, probability=DenseVector([0.3171, 0.0522, 0.0002, 0.0, 0.1736, 0.0, 0.1806, 0.0386, 0.0214, 0.0303, 0.1573, 0.0007, 0.028, 0.0]))
Row(prediction=6.0, features=DenseVector([9.0, 52.0, 41.0]), label=10.0, probability=DenseVector([0.1487, 0.0898, 0.0196, 0.0043, 0.0794, 0.0, 0.395, 0.0189, 0.0307, 0.0379, 0.1394, 0.0034, 0.0326, 0.0002]))
Row(prediction=1.0, features=DenseVector([10.0, 24.0, 47.0]), label=1.0, probability=DenseVector([0.0942, 0.4244, 0.0007, 0.0088, 0.0245, 0.0009, 0.0631, 0.1065, 0.0372, 0.0127, 0.0223, 0.0013, 0.2035, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 27.0, 33.0]), label=7.0, probability=DenseVector([0.2514, 0.3298, 0.0, 0.0003, 0.1182, 0.0, 0.0238, 0.1598, 0.0501, 0.001, 0.0279, 0.0004, 0.0374, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 28.0, 29.0]), label=7.0, probability=DenseVector([0.1377, 0.2972, 0.0, 0.0, 0.0903, 0.0, 0.0149, 0.2381, 0.1441, 0.0012, 0.0111, 0.0, 0.0654, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 28.0, 31.0]), label=8.0, probability=DenseVector([0.2364, 0.2633, 0.0, 0.001, 0.1506, 0.0, 0.0103, 0.1659, 0.0836, 0.0004, 0.0251, 0.0001, 0.0632, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 30.0, 29.0]), label=7.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 30.0, 30.0]), label=8.0, probability=DenseVector([0.2999, 0.2271, 0.0, 0.0013, 0.1747, 0.0, 0.0065, 0.1279, 0.0744, 0.0001, 0.0302, 0.0, 0.058, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 31.0, 23.0]), label=7.0, probability=DenseVector([0.1574, 0.2435, 0.0, 0.0001, 0.0952, 0.0, 0.0122, 0.2293, 0.1879, 0.0, 0.0133, 0.0, 0.061, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 31.0]), label=8.0, probability=DenseVector([0.2999, 0.2271, 0.0, 0.0013, 0.1747, 0.0, 0.0065, 0.1279, 0.0744, 0.0001, 0.0302, 0.0, 0.058, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 31.0, 33.0]), label=1.0, probability=DenseVector([0.3414, 0.2654, 0.0, 0.0014, 0.1591, 0.0, 0.0123, 0.1197, 0.0334, 0.0006, 0.0362, 0.0, 0.0304, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 29.0]), label=8.0, probability=DenseVector([0.3431, 0.1558, 0.0, 0.0008, 0.165, 0.0, 0.0099, 0.1471, 0.0913, 0.0044, 0.0388, 0.0, 0.0438, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 31.0]), label=1.0, probability=DenseVector([0.4342, 0.1142, 0.0, 0.0018, 0.2164, 0.0, 0.0066, 0.0759, 0.053, 0.0044, 0.0517, 0.0, 0.0416, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 31.0]), label=8.0, probability=DenseVector([0.4342, 0.1142, 0.0, 0.0018, 0.2164, 0.0, 0.0066, 0.0759, 0.053, 0.0044, 0.0517, 0.0, 0.0416, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 32.0]), label=1.0, probability=DenseVector([0.5178, 0.0825, 0.0, 0.0026, 0.2242, 0.0, 0.0083, 0.0535, 0.0246, 0.0052, 0.062, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 32.0]), label=1.0, probability=DenseVector([0.5178, 0.0825, 0.0, 0.0026, 0.2242, 0.0, 0.0083, 0.0535, 0.0246, 0.0052, 0.062, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 33.0]), label=4.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 33.0]), label=8.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 34.0]), label=1.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 34.0]), label=7.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 36.0]), label=1.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 32.0, 39.0]), label=1.0, probability=DenseVector([0.5396, 0.0761, 0.0, 0.0027, 0.2199, 0.0, 0.0089, 0.0479, 0.0203, 0.0056, 0.0632, 0.0, 0.0158, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 25.0]), label=1.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 26.0]), label=1.0, probability=DenseVector([0.4232, 0.1102, 0.0, 0.0001, 0.1957, 0.0, 0.0114, 0.0935, 0.068, 0.0047, 0.0585, 0.0, 0.0347, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 32.0]), label=8.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 34.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 34.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 36.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 33.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 30.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 31.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 32.0]), label=8.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 32.0]), label=8.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 34.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 35.0, 38.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 26.0]), label=7.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 30.0]), label=4.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 31.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 32.0]), label=8.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=12.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 36.0]), label=10.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.5056, 0.0647, 0.0, 0.0001, 0.2354, 0.0, 0.0074, 0.0501, 0.0346, 0.0047, 0.0739, 0.0, 0.0236, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 32.0]), label=7.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 34.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 37.0, 37.0]), label=8.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=1.0, features=DenseVector([10.0, 37.0, 46.0]), label=1.0, probability=DenseVector([0.2019, 0.284, 0.0011, 0.0081, 0.0641, 0.0002, 0.0987, 0.0734, 0.057, 0.0172, 0.0744, 0.0042, 0.1157, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 29.0]), label=8.0, probability=DenseVector([0.4391, 0.1024, 0.0, 0.0001, 0.2003, 0.0, 0.0115, 0.0853, 0.0615, 0.0047, 0.0621, 0.0, 0.0331, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.5735, 0.049, 0.0, 0.0001, 0.2248, 0.0, 0.0048, 0.0387, 0.0228, 0.0057, 0.0684, 0.0, 0.012, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 33.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 36.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=4.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 38.0, 37.0]), label=1.0, probability=DenseVector([0.5954, 0.0426, 0.0, 0.0002, 0.2205, 0.0, 0.0053, 0.0332, 0.0185, 0.0061, 0.0696, 0.0, 0.0087, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 30.0]), label=1.0, probability=DenseVector([0.5024, 0.063, 0.0, 0.0001, 0.2338, 0.0, 0.0077, 0.0523, 0.0364, 0.0049, 0.0757, 0.0, 0.0239, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 32.0]), label=10.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 28.0]), label=7.0, probability=DenseVector([0.4359, 0.1007, 0.0, 0.0001, 0.1987, 0.0, 0.0118, 0.0875, 0.0633, 0.0049, 0.0638, 0.0, 0.0334, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 32.0]), label=4.0, probability=DenseVector([0.5703, 0.0472, 0.0, 0.0001, 0.2233, 0.0, 0.0051, 0.041, 0.0246, 0.0059, 0.0701, 0.0, 0.0123, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 36.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=10.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 40.0, 38.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 33.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 37.0]), label=1.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 39.0]), label=4.0, probability=DenseVector([0.5921, 0.0408, 0.0, 0.0002, 0.2189, 0.0, 0.0056, 0.0354, 0.0202, 0.0063, 0.0713, 0.0, 0.009, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 41.0, 40.0]), label=7.0, probability=DenseVector([0.5567, 0.0772, 0.0, 0.0, 0.132, 0.0, 0.0355, 0.0352, 0.0119, 0.0118, 0.121, 0.0001, 0.0186, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 30.0]), label=8.0, probability=DenseVector([0.419, 0.0506, 0.0, 0.0, 0.2418, 0.0, 0.0249, 0.0488, 0.0303, 0.013, 0.1445, 0.0, 0.0269, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 42.0, 35.0]), label=10.0, probability=DenseVector([0.4216, 0.0418, 0.0, 0.0, 0.2376, 0.0, 0.0227, 0.0433, 0.0226, 0.0214, 0.1681, 0.0, 0.0208, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 43.0, 35.0]), label=8.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 44.0, 35.0]), label=8.0, probability=DenseVector([0.4136, 0.0407, 0.0, 0.0, 0.2368, 0.0, 0.0252, 0.0442, 0.0256, 0.0219, 0.1701, 0.0, 0.022, 0.0]))
Row(prediction=0.0, features=DenseVector([10.0, 46.0, 33.0]), label=8.0, probability=DenseVector([0.4067, 0.0399, 0.0, 0.0, 0.2322, 0.0, 0.0318, 0.0456, 0.027, 0.0211, 0.1748, 0.0, 0.0209, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 26.0, 26.0]), label=8.0, probability=DenseVector([0.1415, 0.3544, 0.0, 0.0, 0.0832, 0.0, 0.0142, 0.2275, 0.1075, 0.0038, 0.0042, 0.0004, 0.0634, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 26.0, 34.0]), label=7.0, probability=DenseVector([0.1629, 0.4068, 0.0, 0.0, 0.0907, 0.0, 0.0113, 0.1862, 0.0757, 0.0046, 0.0066, 0.0015, 0.0537, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 27.0, 33.0]), label=7.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 27.0, 34.0]), label=7.0, probability=DenseVector([0.168, 0.396, 0.0, 0.0, 0.0916, 0.0, 0.0098, 0.1942, 0.0752, 0.0046, 0.0066, 0.0008, 0.0533, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 27.0, 34.0]), label=7.0, probability=DenseVector([0.168, 0.396, 0.0, 0.0, 0.0916, 0.0, 0.0098, 0.1942, 0.0752, 0.0046, 0.0066, 0.0008, 0.0533, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 26.0]), label=1.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 28.0]), label=1.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 29.0]), label=1.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 32.0]), label=7.0, probability=DenseVector([0.1626, 0.3623, 0.0, 0.0, 0.0979, 0.0, 0.0094, 0.2132, 0.0866, 0.0046, 0.0063, 0.0005, 0.0566, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 28.0, 34.0]), label=7.0, probability=DenseVector([0.168, 0.396, 0.0, 0.0, 0.0916, 0.0, 0.0098, 0.1942, 0.0752, 0.0046, 0.0066, 0.0008, 0.0533, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 29.0]), label=1.0, probability=DenseVector([0.1497, 0.3599, 0.0, 0.0, 0.0864, 0.0, 0.0102, 0.199, 0.1189, 0.004, 0.0043, 0.0004, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 30.0]), label=1.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 30.0]), label=1.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 31.0]), label=1.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 33.0]), label=7.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 29.0, 33.0]), label=7.0, probability=DenseVector([0.1673, 0.3846, 0.0, 0.0, 0.0946, 0.0, 0.0093, 0.1949, 0.0816, 0.0046, 0.0067, 0.0008, 0.0556, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 28.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 29.0]), label=8.0, probability=DenseVector([0.1868, 0.2899, 0.0, 0.0001, 0.1001, 0.0, 0.0066, 0.1829, 0.1621, 0.0026, 0.0071, 0.0002, 0.0616, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 31.0]), label=1.0, probability=DenseVector([0.2446, 0.3096, 0.0, 0.0003, 0.1311, 0.0, 0.0042, 0.1593, 0.0804, 0.004, 0.0119, 0.0002, 0.0546, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 30.0, 34.0]), label=7.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 32.0]), label=1.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 31.0, 33.0]), label=7.0, probability=DenseVector([0.2491, 0.3182, 0.0, 0.0003, 0.1327, 0.0, 0.0038, 0.157, 0.073, 0.004, 0.0112, 0.0002, 0.0506, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 27.0]), label=8.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 30.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 32.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 29.0]), label=8.0, probability=DenseVector([0.4454, 0.1355, 0.0, 0.0, 0.1782, 0.0, 0.0071, 0.0945, 0.0641, 0.0178, 0.033, 0.0001, 0.0242, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 30.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 31.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 32.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 36.0]), label=4.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 33.0, 37.0]), label=1.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 30.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 30.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 30.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 31.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 34.0, 38.0]), label=1.0, probability=DenseVector([0.4318, 0.1841, 0.0, 0.0, 0.1781, 0.0, 0.0061, 0.0851, 0.0479, 0.0157, 0.0338, 0.0003, 0.0173, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 32.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 35.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 31.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=10.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 32.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=1.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=8.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 34.0]), label=4.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.4538, 0.1302, 0.0, 0.0, 0.1821, 0.0, 0.0063, 0.0947, 0.0598, 0.0194, 0.034, 0.0001, 0.0197, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=8.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 36.0]), label=7.0, probability=DenseVector([0.4552, 0.1346, 0.0, 0.0, 0.1824, 0.0, 0.0061, 0.0924, 0.0573, 0.0189, 0.034, 0.0001, 0.019, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=7.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 36.0, 37.0]), label=4.0, probability=DenseVector([0.4515, 0.1428, 0.0, 0.0, 0.1822, 0.0, 0.0061, 0.0916, 0.055, 0.0183, 0.0341, 0.0001, 0.0183, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 30.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 31.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 32.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 33.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=1.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=8.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 35.0]), label=4.0, probability=DenseVector([0.4523, 0.1257, 0.0, 0.0, 0.18, 0.0, 0.0067, 0.0973, 0.0622, 0.0205, 0.0351, 0.0001, 0.0201, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=8.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=8.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4537, 0.13, 0.0, 0.0, 0.1803, 0.0, 0.0066, 0.095, 0.0597, 0.0201, 0.0351, 0.0001, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 37.0, 38.0]), label=4.0, probability=DenseVector([0.4422, 0.1553, 0.0, 0.0, 0.185, 0.0, 0.0062, 0.0903, 0.0494, 0.0175, 0.0355, 0.0004, 0.0181, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 31.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 32.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 33.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=10.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 34.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=1.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=8.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 35.0]), label=4.0, probability=DenseVector([0.4382, 0.1079, 0.0, 0.0, 0.172, 0.0, 0.0102, 0.1095, 0.073, 0.0242, 0.0418, 0.0001, 0.023, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 36.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 37.0]), label=7.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 38.0, 38.0]), label=4.0, probability=DenseVector([0.4396, 0.1123, 0.0, 0.0, 0.1723, 0.0, 0.0101, 0.1072, 0.0705, 0.0237, 0.0418, 0.0001, 0.0223, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 38.0, 42.0]), label=8.0, probability=DenseVector([0.2456, 0.3502, 0.001, 0.0082, 0.0557, 0.0002, 0.039, 0.0916, 0.0662, 0.0228, 0.059, 0.0034, 0.0571, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 38.0, 42.0]), label=7.0, probability=DenseVector([0.2456, 0.3502, 0.001, 0.0082, 0.0557, 0.0002, 0.039, 0.0916, 0.0662, 0.0228, 0.059, 0.0034, 0.0571, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 31.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 32.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=10.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=12.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 35.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 38.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 39.0, 39.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 29.0]), label=7.0, probability=DenseVector([0.4266, 0.1114, 0.0, 0.0, 0.1666, 0.0, 0.0113, 0.1116, 0.0791, 0.0229, 0.0426, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=8.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 33.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=4.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.435, 0.1062, 0.0, 0.0, 0.1704, 0.0, 0.0105, 0.1118, 0.0748, 0.0244, 0.0435, 0.0001, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=7.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 37.0]), label=4.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 40.0, 38.0]), label=10.0, probability=DenseVector([0.4363, 0.1105, 0.0, 0.0, 0.1707, 0.0, 0.0104, 0.1094, 0.0723, 0.0239, 0.0436, 0.0001, 0.0226, 0.0]))
Row(prediction=1.0, features=DenseVector([11.0, 40.0, 41.0]), label=10.0, probability=DenseVector([0.2506, 0.3547, 0.0008, 0.0045, 0.0584, 0.0002, 0.0375, 0.0896, 0.0621, 0.0242, 0.064, 0.0022, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 35.0]), label=0.0, probability=DenseVector([0.4173, 0.1045, 0.0, 0.0, 0.1703, 0.0, 0.0163, 0.111, 0.0788, 0.0261, 0.049, 0.0001, 0.0266, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 42.0, 37.0]), label=7.0, probability=DenseVector([0.4187, 0.1089, 0.0, 0.0, 0.1706, 0.0, 0.0162, 0.1087, 0.0763, 0.0256, 0.0491, 0.0001, 0.0259, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 31.0]), label=1.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 43.0, 32.0]), label=1.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 34.0]), label=7.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 39.0]), label=7.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 44.0, 40.0]), label=8.0, probability=DenseVector([0.2665, 0.1594, 0.0006, 0.0002, 0.1397, 0.0, 0.0687, 0.0718, 0.0616, 0.0528, 0.1388, 0.0016, 0.0383, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 46.0, 31.0]), label=1.0, probability=DenseVector([0.4092, 0.1034, 0.0, 0.0, 0.1695, 0.0, 0.0188, 0.1118, 0.0817, 0.0266, 0.0511, 0.0001, 0.0278, 0.0]))
Row(prediction=0.0, features=DenseVector([11.0, 46.0, 39.0]), label=7.0, probability=DenseVector([0.3881, 0.1206, 0.0003, 0.0001, 0.1598, 0.0, 0.0281, 0.1074, 0.0735, 0.0292, 0.0655, 0.0005, 0.0267, 0.0]))
Row(prediction=6.0, features=DenseVector([11.0, 57.0, 45.0]), label=1.0, probability=DenseVector([0.1454, 0.1051, 0.0281, 0.0115, 0.1132, 0.0002, 0.2847, 0.0253, 0.0616, 0.0531, 0.1122, 0.0077, 0.0517, 0.0003]))
Row(prediction=1.0, features=DenseVector([12.0, 24.0, 24.0]), label=7.0, probability=DenseVector([0.1415, 0.356, 0.0, 0.0, 0.0816, 0.0, 0.0152, 0.2147, 0.1178, 0.0038, 0.0042, 0.0004, 0.0649, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 24.0, 27.0]), label=8.0, probability=DenseVector([0.1415, 0.356, 0.0, 0.0, 0.0816, 0.0, 0.0152, 0.2147, 0.1178, 0.0038, 0.0042, 0.0004, 0.0649, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 25.0, 33.0]), label=7.0, probability=DenseVector([0.1639, 0.3802, 0.0, 0.0, 0.0921, 0.0, 0.0117, 0.2045, 0.0815, 0.0046, 0.0066, 0.0008, 0.0541, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 26.0, 31.0]), label=7.0, probability=DenseVector([0.1603, 0.3577, 0.0, 0.0, 0.0957, 0.0, 0.0113, 0.2141, 0.0901, 0.0046, 0.0062, 0.0005, 0.0596, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 27.0, 30.0]), label=7.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 27.0, 31.0]), label=7.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 27.0, 31.0]), label=7.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))
Row(prediction=1.0, features=DenseVector([12.0, 27.0, 31.0]), label=7.0, probability=DenseVector([0.1637, 0.3621, 0.0, 0.0, 0.0982, 0.0, 0.0089, 0.2046, 0.0902, 0.0046, 0.0063, 0.0005, 0.061, 0.0]))

IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
`--NotebookApp.iopub_data_rate_limit`.

Current values:
NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)
NotebookApp.rate_limit_window=3.0 (secs)


Row(prediction=0.0, features=DenseVector([15.0, 39.0, 38.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=8.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 41.0]), label=7.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 39.0, 43.0]), label=7.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 26.0]), label=7.0, probability=DenseVector([0.4195, 0.0722, 0.0, 0.0, 0.1696, 0.0, 0.0267, 0.1059, 0.1264, 0.0096, 0.0449, 0.0, 0.025, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 40.0, 37.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 40.0]), label=8.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 40.0]), label=8.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 40.0, 42.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 30.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 31.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 33.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 35.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 41.0, 38.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 41.0, 41.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 24.0]), label=8.0, probability=DenseVector([0.3826, 0.0699, 0.0, 0.0, 0.1563, 0.0, 0.0361, 0.1196, 0.1541, 0.0087, 0.0424, 0.0, 0.0303, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 32.0]), label=8.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 33.0]), label=8.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 34.0]), label=8.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 36.0]), label=8.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 38.0]), label=7.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 42.0, 38.0]), label=8.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 42.0, 40.0]), label=7.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 43.0, 38.0]), label=7.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 43.0, 40.0]), label=7.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([15.0, 43.0, 41.0]), label=7.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 36.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 44.0, 36.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 45.0, 31.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 35.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 37.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 46.0, 37.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 38.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([15.0, 47.0, 40.0]), label=8.0, probability=DenseVector([0.2487, 0.1776, 0.0046, 0.0009, 0.1191, 0.0, 0.1203, 0.0712, 0.0715, 0.057, 0.0829, 0.0022, 0.044, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 48.0, 40.0]), label=8.0, probability=DenseVector([0.2273, 0.1277, 0.0043, 0.0006, 0.1212, 0.0, 0.2414, 0.0427, 0.0526, 0.048, 0.0845, 0.0021, 0.0475, 0.0]))
Row(prediction=6.0, features=DenseVector([15.0, 48.0, 43.0]), label=8.0, probability=DenseVector([0.1647, 0.1407, 0.0309, 0.0088, 0.0996, 0.0, 0.2688, 0.0386, 0.0581, 0.0551, 0.0811, 0.0044, 0.0481, 0.0011]))
Row(prediction=6.0, features=DenseVector([15.0, 53.0, 36.0]), label=7.0, probability=DenseVector([0.2951, 0.0422, 0.0002, 0.0, 0.1023, 0.0, 0.394, 0.0407, 0.0305, 0.0212, 0.0518, 0.0025, 0.0194, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 31.0, 27.0]), label=7.0, probability=DenseVector([0.3549, 0.1554, 0.0, 0.0, 0.185, 0.0, 0.0044, 0.1064, 0.1303, 0.0017, 0.0364, 0.0001, 0.0255, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 31.0, 45.0]), label=7.0, probability=DenseVector([0.1091, 0.5023, 0.0009, 0.0095, 0.0253, 0.0009, 0.039, 0.0702, 0.0534, 0.0143, 0.019, 0.0032, 0.153, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 26.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 32.0, 27.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 31.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 33.0, 36.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 34.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 30.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 35.0, 33.0]), label=4.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 36.0, 38.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 41.0]), label=8.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 36.0, 42.0]), label=7.0, probability=DenseVector([0.1395, 0.4619, 0.0013, 0.009, 0.0369, 0.0002, 0.0365, 0.1075, 0.0811, 0.0226, 0.0277, 0.0039, 0.072, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 31.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 32.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 37.0, 40.0]), label=7.0, probability=DenseVector([0.2552, 0.3353, 0.0003, 0.0013, 0.1011, 0.0, 0.021, 0.1047, 0.0752, 0.0183, 0.0444, 0.0023, 0.0408, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 31.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 32.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 35.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 38.0, 37.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 38.0, 41.0]), label=10.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 32.0]), label=0.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 33.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 39.0, 39.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 32.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 34.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 40.0, 35.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 41.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 40.0, 43.0]), label=7.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 30.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 41.0, 39.0]), label=7.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 41.0]), label=8.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 41.0, 47.0]), label=7.0, probability=DenseVector([0.1283, 0.3854, 0.0031, 0.0073, 0.0418, 0.0002, 0.0748, 0.1093, 0.0929, 0.0515, 0.025, 0.005, 0.0754, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 34.0]), label=4.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 42.0, 37.0]), label=7.0, probability=DenseVector([0.4522, 0.072, 0.0, 0.0, 0.205, 0.0, 0.0215, 0.0767, 0.0635, 0.0162, 0.0695, 0.0, 0.0233, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 29.0]), label=8.0, probability=DenseVector([0.3537, 0.0686, 0.0, 0.0, 0.1455, 0.0, 0.0422, 0.1323, 0.1755, 0.009, 0.0408, 0.0, 0.0324, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 33.0]), label=8.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 43.0, 38.0]), label=8.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 40.0]), label=7.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 40.0]), label=7.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 40.0]), label=7.0, probability=DenseVector([0.2278, 0.2769, 0.0016, 0.0014, 0.0988, 0.0, 0.0422, 0.123, 0.0838, 0.0345, 0.0668, 0.0025, 0.0406, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 43.0, 41.0]), label=10.0, probability=DenseVector([0.1488, 0.3677, 0.0056, 0.004, 0.0558, 0.0, 0.0656, 0.1151, 0.0813, 0.0462, 0.0543, 0.0032, 0.0523, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 34.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 36.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 44.0, 37.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 37.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 45.0, 39.0]), label=7.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 46.0, 39.0]), label=7.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([16.0, 46.0, 40.0]), label=7.0, probability=DenseVector([0.2285, 0.2443, 0.0076, 0.0012, 0.096, 0.0, 0.0823, 0.0989, 0.0785, 0.0552, 0.0605, 0.0034, 0.0437, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 34.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 35.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 37.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([16.0, 47.0, 38.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 8.0, 61.0]), label=7.0, probability=DenseVector([0.0419, 0.4292, 0.0012, 0.013, 0.0106, 0.0, 0.0529, 0.0813, 0.0723, 0.0526, 0.007, 0.0029, 0.2351, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 28.0, 33.0]), label=7.0, probability=DenseVector([0.2374, 0.3402, 0.0, 0.0, 0.1441, 0.0, 0.0164, 0.1311, 0.0652, 0.003, 0.0217, 0.001, 0.0399, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 31.0, 33.0]), label=7.0, probability=DenseVector([0.4538, 0.12, 0.0, 0.0, 0.2646, 0.0, 0.0043, 0.0581, 0.037, 0.0018, 0.0429, 0.0001, 0.0175, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 31.0, 47.0]), label=8.0, probability=DenseVector([0.0612, 0.4232, 0.0008, 0.0139, 0.0148, 0.0009, 0.0711, 0.1016, 0.1176, 0.0198, 0.0101, 0.0038, 0.1612, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 33.0, 34.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 31.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 34.0, 33.0]), label=0.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 35.0, 28.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 41.0]), label=7.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 43.0]), label=7.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 35.0, 44.0]), label=7.0, probability=DenseVector([0.1278, 0.4749, 0.0011, 0.0102, 0.0342, 0.0002, 0.038, 0.1004, 0.0751, 0.0188, 0.0257, 0.0041, 0.0896, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 36.0, 32.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 37.0, 33.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 31.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 33.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 37.0]), label=7.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 38.0, 38.0]), label=8.0, probability=DenseVector([0.5236, 0.0725, 0.0, 0.0, 0.2198, 0.0, 0.0053, 0.0595, 0.0411, 0.0092, 0.0558, 0.0001, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 38.0, 40.0]), label=7.0, probability=DenseVector([0.2558, 0.3248, 0.0003, 0.0013, 0.098, 0.0, 0.0214, 0.1104, 0.0779, 0.0189, 0.0472, 0.0022, 0.0418, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 32.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 33.0]), label=8.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 39.0, 39.0]), label=7.0, probability=DenseVector([0.5204, 0.0707, 0.0, 0.0, 0.2183, 0.0, 0.0056, 0.0617, 0.0429, 0.0094, 0.0576, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 43.0]), label=7.0, probability=DenseVector([0.1419, 0.4591, 0.0013, 0.0087, 0.0377, 0.0002, 0.036, 0.1099, 0.0829, 0.0241, 0.0282, 0.0038, 0.0661, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 39.0, 44.0]), label=7.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 32.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 34.0]), label=8.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 40.0, 38.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 35.0]), label=7.0, probability=DenseVector([0.4699, 0.0737, 0.0, 0.0, 0.2051, 0.0, 0.0157, 0.0775, 0.0596, 0.0146, 0.064, 0.0, 0.02, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 41.0, 39.0]), label=7.0, probability=DenseVector([0.4603, 0.0819, 0.0, 0.0, 0.1999, 0.0, 0.0159, 0.0815, 0.0596, 0.0152, 0.0656, 0.0, 0.0201, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 41.0]), label=7.0, probability=DenseVector([0.147, 0.4636, 0.0011, 0.0049, 0.0404, 0.0002, 0.0345, 0.1079, 0.0789, 0.0255, 0.0332, 0.0026, 0.0601, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 41.0, 48.0]), label=7.0, probability=DenseVector([0.1235, 0.3738, 0.0051, 0.023, 0.0404, 0.0001, 0.073, 0.1102, 0.0938, 0.0513, 0.0241, 0.0064, 0.0752, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 40.0]), label=7.0, probability=DenseVector([0.2262, 0.3136, 0.0009, 0.0015, 0.0924, 0.0, 0.0329, 0.119, 0.0838, 0.0257, 0.0573, 0.0024, 0.0443, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 45.0]), label=7.0, probability=DenseVector([0.1333, 0.4078, 0.0164, 0.0094, 0.0404, 0.0002, 0.0508, 0.1111, 0.0921, 0.0383, 0.032, 0.0055, 0.0624, 0.0003]))
Row(prediction=1.0, features=DenseVector([17.0, 42.0, 47.0]), label=8.0, probability=DenseVector([0.1265, 0.3587, 0.0171, 0.0105, 0.0453, 0.0002, 0.0794, 0.1069, 0.0948, 0.0548, 0.0289, 0.0066, 0.07, 0.0003]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 35.0]), label=7.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 36.0]), label=7.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 36.0]), label=8.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 38.0]), label=7.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 38.0]), label=7.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 38.0]), label=8.0, probability=DenseVector([0.4334, 0.0731, 0.0, 0.0, 0.2022, 0.0, 0.0266, 0.0797, 0.0701, 0.0177, 0.0711, 0.0, 0.026, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 43.0, 39.0]), label=7.0, probability=DenseVector([0.3906, 0.1131, 0.0009, 0.0005, 0.1797, 0.0, 0.0341, 0.0888, 0.0689, 0.0243, 0.0711, 0.0007, 0.0275, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 29.0]), label=7.0, probability=DenseVector([0.3105, 0.0656, 0.0, 0.0, 0.1244, 0.0, 0.0494, 0.1569, 0.2148, 0.0085, 0.0351, 0.0, 0.0348, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 32.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 39.0]), label=7.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 39.0]), label=7.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 44.0, 39.0]), label=7.0, probability=DenseVector([0.3682, 0.1171, 0.0009, 0.0005, 0.1738, 0.0, 0.0446, 0.0938, 0.0744, 0.0258, 0.0701, 0.0007, 0.0302, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 40.0]), label=7.0, probability=DenseVector([0.2214, 0.258, 0.0046, 0.0011, 0.0998, 0.0, 0.066, 0.1114, 0.0794, 0.0474, 0.0679, 0.0036, 0.0396, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 43.0]), label=8.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 44.0, 51.0]), label=8.0, probability=DenseVector([0.1366, 0.2719, 0.0218, 0.0128, 0.0578, 0.0002, 0.1139, 0.097, 0.0922, 0.0785, 0.044, 0.0109, 0.0622, 0.0003]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 37.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 38.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 45.0, 38.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=1.0, features=DenseVector([17.0, 45.0, 41.0]), label=7.0, probability=DenseVector([0.1501, 0.3015, 0.0109, 0.0037, 0.0665, 0.0, 0.1051, 0.1057, 0.0773, 0.0614, 0.0622, 0.0044, 0.0511, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 30.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 30.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 37.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 37.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 38.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 46.0, 38.0]), label=7.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=0.0, features=DenseVector([17.0, 47.0, 37.0]), label=8.0, probability=DenseVector([0.4111, 0.0771, 0.0, 0.0, 0.1962, 0.0, 0.0372, 0.0847, 0.0757, 0.0191, 0.0702, 0.0, 0.0287, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 35.0]), label=7.0, probability=DenseVector([0.3, 0.0653, 0.0005, 0.0, 0.1099, 0.0, 0.3135, 0.0498, 0.0391, 0.0364, 0.0505, 0.0004, 0.0344, 0.0]))
Row(prediction=6.0, features=DenseVector([17.0, 48.0, 45.0]), label=8.0, probability=DenseVector([0.1468, 0.1492, 0.0461, 0.0134, 0.0945, 0.0002, 0.2405, 0.0458, 0.0699, 0.066, 0.0669, 0.0096, 0.0507, 0.0004]))
Row(prediction=6.0, features=DenseVector([17.0, 49.0, 37.0]), label=7.0, probability=DenseVector([0.2794, 0.0682, 0.0005, 0.0, 0.0971, 0.0, 0.3538, 0.0485, 0.0417, 0.0345, 0.0461, 0.0004, 0.0298, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 27.0, 45.0]), label=7.0, probability=DenseVector([0.1006, 0.4904, 0.0009, 0.0104, 0.0253, 0.0009, 0.0382, 0.0793, 0.0708, 0.0143, 0.019, 0.0024, 0.1476, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 29.0, 33.0]), label=7.0, probability=DenseVector([0.2012, 0.3687, 0.0, 0.0, 0.1348, 0.0, 0.0263, 0.1294, 0.0652, 0.0051, 0.026, 0.001, 0.0424, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 30.0, 49.0]), label=7.0, probability=DenseVector([0.056, 0.3789, 0.0033, 0.0654, 0.0127, 0.0006, 0.0548, 0.1225, 0.0916, 0.0184, 0.0083, 0.0073, 0.1801, 0.0001]))
Row(prediction=1.0, features=DenseVector([18.0, 31.0, 47.0]), label=7.0, probability=DenseVector([0.0584, 0.4035, 0.0008, 0.0175, 0.014, 0.0009, 0.0561, 0.1097, 0.1423, 0.0186, 0.0101, 0.004, 0.1642, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 24.0]), label=7.0, probability=DenseVector([0.4947, 0.0727, 0.0, 0.0, 0.2159, 0.0, 0.0132, 0.0649, 0.0514, 0.0091, 0.0642, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 32.0]), label=7.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 36.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 32.0, 37.0]), label=4.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 30.0]), label=7.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 33.0, 36.0]), label=7.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.055, 0.4011, 0.0068, 0.0705, 0.0147, 0.0006, 0.0505, 0.1124, 0.09, 0.0255, 0.0095, 0.0158, 0.1471, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 31.0]), label=8.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 34.0, 34.0]), label=7.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 46.0]), label=7.0, probability=DenseVector([0.0967, 0.46, 0.0011, 0.0154, 0.026, 0.0002, 0.0459, 0.1055, 0.0752, 0.0202, 0.0181, 0.0047, 0.131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 34.0, 48.0]), label=7.0, probability=DenseVector([0.0705, 0.4239, 0.0034, 0.0355, 0.018, 0.0001, 0.0544, 0.1144, 0.0833, 0.0232, 0.0118, 0.0068, 0.1549, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 46.0]), label=7.0, probability=DenseVector([0.1103, 0.4588, 0.0013, 0.0126, 0.0304, 0.0002, 0.045, 0.1084, 0.0771, 0.0226, 0.021, 0.0049, 0.1073, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 35.0, 48.0]), label=7.0, probability=DenseVector([0.0845, 0.4158, 0.0038, 0.0336, 0.0224, 0.0001, 0.0506, 0.1282, 0.0877, 0.0252, 0.0147, 0.0076, 0.126, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 29.0]), label=7.0, probability=DenseVector([0.4947, 0.0727, 0.0, 0.0, 0.2159, 0.0, 0.0132, 0.0649, 0.0514, 0.0091, 0.0642, 0.0, 0.0137, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 31.0]), label=7.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 36.0, 35.0]), label=7.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 37.0, 31.0]), label=7.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 30.0]), label=7.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 32.0]), label=0.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 38.0, 34.0]), label=8.0, probability=DenseVector([0.5036, 0.0704, 0.0, 0.0, 0.2236, 0.0, 0.0103, 0.0579, 0.0402, 0.0091, 0.0717, 0.0, 0.0131, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 49.0]), label=8.0, probability=DenseVector([0.103, 0.3979, 0.0042, 0.0306, 0.0268, 0.0001, 0.0499, 0.1356, 0.0989, 0.0335, 0.0186, 0.0075, 0.0935, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 38.0, 55.0]), label=7.0, probability=DenseVector([0.0937, 0.3864, 0.0056, 0.0207, 0.0267, 0.0, 0.0524, 0.1311, 0.1076, 0.0469, 0.0178, 0.0216, 0.0897, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 39.0, 37.0]), label=7.0, probability=DenseVector([0.5004, 0.0687, 0.0, 0.0, 0.2221, 0.0, 0.0106, 0.0601, 0.0419, 0.0093, 0.0735, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 45.0]), label=7.0, probability=DenseVector([0.1395, 0.4522, 0.0014, 0.0089, 0.0374, 0.0002, 0.039, 0.1104, 0.0854, 0.026, 0.0281, 0.0041, 0.0676, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 39.0, 50.0]), label=7.0, probability=DenseVector([0.108, 0.4032, 0.0042, 0.0275, 0.0282, 0.0001, 0.0549, 0.119, 0.0944, 0.0412, 0.02, 0.0107, 0.0885, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 44.0]), label=7.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 40.0, 44.0]), label=7.0, probability=DenseVector([0.1404, 0.4418, 0.0023, 0.0062, 0.0384, 0.0002, 0.0432, 0.11, 0.0879, 0.0317, 0.0293, 0.0036, 0.0651, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 40.0]), label=8.0, probability=DenseVector([0.2344, 0.3315, 0.0003, 0.0013, 0.0885, 0.0, 0.0234, 0.1195, 0.0837, 0.0205, 0.0514, 0.0022, 0.0434, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 41.0, 50.0]), label=7.0, probability=DenseVector([0.1099, 0.3812, 0.0051, 0.0258, 0.0325, 0.0001, 0.0635, 0.1164, 0.0987, 0.0526, 0.0216, 0.0122, 0.0805, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 29.0]), label=7.0, probability=DenseVector([0.3725, 0.0702, 0.0, 0.0, 0.1613, 0.0, 0.0383, 0.1169, 0.1508, 0.0087, 0.0527, 0.0, 0.0286, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 42.0, 34.0]), label=8.0, probability=DenseVector([0.4415, 0.0696, 0.0, 0.0, 0.211, 0.0, 0.0237, 0.0725, 0.0601, 0.015, 0.0845, 0.0, 0.0221, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 39.0]), label=7.0, probability=DenseVector([0.3798, 0.1107, 0.0009, 0.0005, 0.1857, 0.0, 0.0362, 0.0846, 0.0654, 0.0231, 0.086, 0.0007, 0.0263, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 43.0, 39.0]), label=7.0, probability=DenseVector([0.3798, 0.1107, 0.0009, 0.0005, 0.1857, 0.0, 0.0362, 0.0846, 0.0654, 0.0231, 0.086, 0.0007, 0.0263, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 43.0, 52.0]), label=8.0, probability=DenseVector([0.1141, 0.3175, 0.0157, 0.0243, 0.0406, 0.0, 0.0739, 0.1158, 0.1095, 0.0669, 0.0289, 0.0235, 0.0692, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 44.0, 39.0]), label=7.0, probability=DenseVector([0.3629, 0.1157, 0.0009, 0.0005, 0.1731, 0.0, 0.0573, 0.0886, 0.0715, 0.0249, 0.0754, 0.0007, 0.0285, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 44.0, 42.0]), label=4.0, probability=DenseVector([0.1512, 0.3266, 0.0086, 0.0036, 0.0618, 0.0, 0.0888, 0.1075, 0.0785, 0.0579, 0.0614, 0.0043, 0.0498, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 36.0]), label=8.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 38.0]), label=7.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 45.0, 39.0]), label=7.0, probability=DenseVector([0.3629, 0.1157, 0.0009, 0.0005, 0.1731, 0.0, 0.0573, 0.0886, 0.0715, 0.0249, 0.0754, 0.0007, 0.0285, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 45.0, 46.0]), label=8.0, probability=DenseVector([0.1403, 0.284, 0.0233, 0.0118, 0.0555, 0.0002, 0.0961, 0.1149, 0.0967, 0.0682, 0.0468, 0.008, 0.0538, 0.0003]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 36.0]), label=7.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=0.0, features=DenseVector([18.0, 46.0, 39.0]), label=7.0, probability=DenseVector([0.3629, 0.1157, 0.0009, 0.0005, 0.1731, 0.0, 0.0573, 0.0886, 0.0715, 0.0249, 0.0754, 0.0007, 0.0285, 0.0]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 44.0]), label=8.0, probability=DenseVector([0.1354, 0.2483, 0.0456, 0.0159, 0.0579, 0.0002, 0.1135, 0.1069, 0.0962, 0.0734, 0.0477, 0.0093, 0.0491, 0.0004]))
Row(prediction=1.0, features=DenseVector([18.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.1475, 0.2135, 0.045, 0.0173, 0.0679, 0.0002, 0.1337, 0.0952, 0.096, 0.0797, 0.0464, 0.0095, 0.0476, 0.0004]))
Row(prediction=0.0, features=DenseVector([18.0, 47.0, 37.0]), label=7.0, probability=DenseVector([0.4057, 0.0758, 0.0, 0.0, 0.1956, 0.0, 0.0498, 0.0795, 0.0727, 0.0183, 0.0755, 0.0, 0.027, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 47.0, 41.0]), label=8.0, probability=DenseVector([0.1576, 0.2013, 0.0286, 0.0061, 0.0852, 0.0, 0.2228, 0.059, 0.0652, 0.0613, 0.0587, 0.0039, 0.0501, 0.0002]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 40.0]), label=8.0, probability=DenseVector([0.1981, 0.0959, 0.0073, 0.0017, 0.102, 0.0, 0.3761, 0.0359, 0.0473, 0.039, 0.0588, 0.0028, 0.0351, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 43.0]), label=7.0, probability=DenseVector([0.16, 0.1343, 0.0338, 0.0096, 0.1003, 0.0, 0.3087, 0.0387, 0.0546, 0.0486, 0.0621, 0.0042, 0.0439, 0.0011]))
Row(prediction=6.0, features=DenseVector([18.0, 50.0, 49.0]), label=10.0, probability=DenseVector([0.1304, 0.1242, 0.0451, 0.0226, 0.098, 0.0002, 0.2439, 0.0497, 0.0811, 0.0789, 0.0551, 0.0176, 0.053, 0.0004]))
Row(prediction=6.0, features=DenseVector([18.0, 51.0, 26.0]), label=7.0, probability=DenseVector([0.2027, 0.0398, 0.0005, 0.0001, 0.0613, 0.0, 0.5529, 0.0402, 0.0358, 0.0214, 0.0292, 0.0012, 0.0149, 0.0]))
Row(prediction=6.0, features=DenseVector([18.0, 53.0, 41.0]), label=7.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=1.0, features=DenseVector([19.0, 28.0, 49.0]), label=7.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 29.0, 48.0]), label=7.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 29.0, 48.0]), label=7.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 30.0, 47.0]), label=7.0, probability=DenseVector([0.0541, 0.3637, 0.0015, 0.0372, 0.0134, 0.0009, 0.0456, 0.1162, 0.1449, 0.0161, 0.0085, 0.0051, 0.1929, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 49.0]), label=7.0, probability=DenseVector([0.0444, 0.3179, 0.0041, 0.1059, 0.0104, 0.0006, 0.0372, 0.1312, 0.0864, 0.0161, 0.0063, 0.0084, 0.2308, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 31.0, 51.0]), label=7.0, probability=DenseVector([0.0454, 0.334, 0.0036, 0.0986, 0.0107, 0.0006, 0.0416, 0.126, 0.0837, 0.0191, 0.0089, 0.013, 0.2147, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 32.0, 50.0]), label=7.0, probability=DenseVector([0.0555, 0.3528, 0.0039, 0.0891, 0.014, 0.0006, 0.0438, 0.1185, 0.0843, 0.022, 0.0108, 0.015, 0.1894, 0.0001]))
Row(prediction=1.0, features=DenseVector([19.0, 33.0, 45.0]), label=7.0, probability=DenseVector([0.1097, 0.4752, 0.0015, 0.0159, 0.0298, 0.0009, 0.0424, 0.0918, 0.067, 0.0179, 0.0219, 0.004, 0.1221, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 33.0, 47.0]), label=7.0, probability=DenseVector([0.0636, 0.3773, 0.0018, 0.0462, 0.0168, 0.0009, 0.0461, 0.1181, 0.0897, 0.0213, 0.0102, 0.0075, 0.2006, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 40.0]), label=8.0, probability=DenseVector([0.2034, 0.3726, 0.0002, 0.0086, 0.0841, 0.0, 0.0288, 0.086, 0.0588, 0.0123, 0.0466, 0.0033, 0.0953, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 48.0]), label=7.0, probability=DenseVector([0.0599, 0.3442, 0.0041, 0.0749, 0.0149, 0.0001, 0.0416, 0.128, 0.0895, 0.0188, 0.0089, 0.0102, 0.2048, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 34.0, 51.0]), label=7.0, probability=DenseVector([0.0608, 0.3602, 0.0036, 0.0676, 0.0151, 0.0001, 0.046, 0.1228, 0.0868, 0.0217, 0.0115, 0.0148, 0.1887, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 35.0]), label=7.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 35.0, 36.0]), label=7.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 35.0, 46.0]), label=7.0, probability=DenseVector([0.1084, 0.4373, 0.0018, 0.0193, 0.0303, 0.0002, 0.0442, 0.1121, 0.0815, 0.0219, 0.0203, 0.0061, 0.1168, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 33.0]), label=8.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 33.0]), label=7.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 36.0, 39.0]), label=7.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 36.0]), label=7.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 37.0, 37.0]), label=7.0, probability=DenseVector([0.4893, 0.0698, 0.0001, 0.0, 0.2248, 0.0, 0.0128, 0.0567, 0.0392, 0.0092, 0.0847, 0.0, 0.0134, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 42.0]), label=8.0, probability=DenseVector([0.1403, 0.4519, 0.0018, 0.0097, 0.0378, 0.0002, 0.0368, 0.1125, 0.0849, 0.0246, 0.0275, 0.0039, 0.0683, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 37.0, 45.0]), label=8.0, probability=DenseVector([0.1379, 0.445, 0.0019, 0.0099, 0.0375, 0.0002, 0.0399, 0.1129, 0.0873, 0.0264, 0.0273, 0.0041, 0.0698, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 45.0]), label=7.0, probability=DenseVector([0.1379, 0.445, 0.0019, 0.0099, 0.0375, 0.0002, 0.0399, 0.1129, 0.0873, 0.0264, 0.0273, 0.0041, 0.0698, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 47.0]), label=7.0, probability=DenseVector([0.1086, 0.3928, 0.0031, 0.0208, 0.0284, 0.0002, 0.0479, 0.1443, 0.108, 0.0324, 0.0182, 0.0065, 0.0889, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 50.0]), label=7.0, probability=DenseVector([0.0971, 0.3752, 0.0044, 0.0467, 0.0255, 0.0001, 0.0473, 0.1389, 0.0992, 0.0335, 0.0191, 0.0125, 0.1003, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0971, 0.3752, 0.0044, 0.0467, 0.0255, 0.0001, 0.0473, 0.1389, 0.0992, 0.0335, 0.0191, 0.0125, 0.1003, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 39.0, 31.0]), label=7.0, probability=DenseVector([0.486, 0.068, 0.0001, 0.0, 0.2233, 0.0, 0.0131, 0.0589, 0.0409, 0.0094, 0.0864, 0.0, 0.0137, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 47.0]), label=7.0, probability=DenseVector([0.1134, 0.3917, 0.0036, 0.02, 0.0295, 0.0002, 0.0513, 0.1322, 0.1049, 0.0388, 0.0191, 0.0067, 0.0886, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.1019, 0.3741, 0.0049, 0.046, 0.0266, 0.0001, 0.0508, 0.1267, 0.0962, 0.0399, 0.02, 0.0126, 0.1001, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0975, 0.3589, 0.018, 0.0438, 0.0267, 0.0048, 0.0495, 0.1234, 0.1086, 0.0462, 0.0198, 0.0179, 0.0845, 0.0002]))
Row(prediction=1.0, features=DenseVector([19.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0975, 0.3589, 0.018, 0.0438, 0.0267, 0.0048, 0.0495, 0.1234, 0.1086, 0.0462, 0.0198, 0.0179, 0.0845, 0.0002]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 30.0]), label=8.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 40.0, 35.0]), label=7.0, probability=DenseVector([0.4448, 0.0706, 0.0001, 0.0, 0.2124, 0.0, 0.0203, 0.0721, 0.0551, 0.0134, 0.092, 0.0, 0.0191, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 40.0, 47.0]), label=7.0, probability=DenseVector([0.1143, 0.3813, 0.0045, 0.0174, 0.0305, 0.0002, 0.0555, 0.1318, 0.1075, 0.0446, 0.0202, 0.0062, 0.0861, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 43.0]), label=8.0, probability=DenseVector([0.1453, 0.4564, 0.0016, 0.0059, 0.0404, 0.0002, 0.0354, 0.1105, 0.0808, 0.026, 0.0325, 0.0027, 0.0624, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 44.0]), label=7.0, probability=DenseVector([0.1388, 0.4346, 0.0028, 0.0072, 0.0384, 0.0002, 0.044, 0.1125, 0.0898, 0.0321, 0.0285, 0.0037, 0.0673, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 41.0, 49.0]), label=7.0, probability=DenseVector([0.1072, 0.3519, 0.0068, 0.0452, 0.0286, 0.0001, 0.0534, 0.137, 0.1049, 0.0443, 0.0187, 0.008, 0.0939, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 42.0, 35.0]), label=8.0, probability=DenseVector([0.4271, 0.0689, 0.0001, 0.0, 0.2123, 0.0, 0.0262, 0.0713, 0.0591, 0.0151, 0.0975, 0.0, 0.0224, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 42.0, 43.0]), label=8.0, probability=DenseVector([0.1441, 0.431, 0.0028, 0.0034, 0.0449, 0.0, 0.0468, 0.1117, 0.0806, 0.0328, 0.0387, 0.0029, 0.0603, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 44.0, 43.0]), label=8.0, probability=DenseVector([0.1612, 0.3153, 0.0119, 0.0054, 0.0609, 0.0, 0.089, 0.114, 0.0799, 0.0538, 0.0567, 0.0044, 0.0476, 0.0]))
Row(prediction=0.0, features=DenseVector([19.0, 45.0, 39.0]), label=7.0, probability=DenseVector([0.3485, 0.1151, 0.001, 0.0005, 0.1744, 0.0, 0.0598, 0.0874, 0.0705, 0.025, 0.0884, 0.0007, 0.0288, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 41.0]), label=8.0, probability=DenseVector([0.1602, 0.2902, 0.0143, 0.0055, 0.0656, 0.0, 0.1053, 0.1121, 0.0787, 0.0573, 0.0575, 0.0046, 0.0489, 0.0]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.1531, 0.2511, 0.0284, 0.0169, 0.0509, 0.0002, 0.0975, 0.1284, 0.1068, 0.0727, 0.035, 0.0085, 0.0503, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 45.0, 51.0]), label=7.0, probability=DenseVector([0.1379, 0.2657, 0.0278, 0.0173, 0.0473, 0.0002, 0.0954, 0.1238, 0.1018, 0.0684, 0.0367, 0.0131, 0.0644, 0.0003]))
Row(prediction=1.0, features=DenseVector([19.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.1512, 0.2032, 0.0501, 0.0206, 0.0605, 0.0002, 0.1236, 0.1178, 0.1061, 0.0734, 0.0394, 0.0098, 0.0437, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 47.0, 44.0]), label=8.0, probability=DenseVector([0.1386, 0.1826, 0.0491, 0.015, 0.0752, 0.0002, 0.1941, 0.0797, 0.0855, 0.0699, 0.0533, 0.008, 0.0486, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 45.0]), label=8.0, probability=DenseVector([0.1476, 0.1481, 0.0481, 0.0139, 0.0875, 0.0002, 0.2496, 0.0547, 0.0731, 0.0657, 0.0555, 0.0084, 0.0471, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 48.0, 48.0]), label=7.0, probability=DenseVector([0.1377, 0.1351, 0.0477, 0.0223, 0.0847, 0.0002, 0.2258, 0.0677, 0.0846, 0.0787, 0.0493, 0.0148, 0.0509, 0.0004]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 33.0]), label=7.0, probability=DenseVector([0.2149, 0.0599, 0.0018, 0.0017, 0.0686, 0.0, 0.4881, 0.0374, 0.0446, 0.0306, 0.0321, 0.001, 0.0194, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 49.0, 43.0]), label=0.0, probability=DenseVector([0.16, 0.1343, 0.0338, 0.0096, 0.1003, 0.0, 0.3087, 0.0387, 0.0546, 0.0486, 0.0621, 0.0042, 0.0439, 0.0011]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 40.0]), label=7.0, probability=DenseVector([0.1894, 0.0951, 0.0085, 0.0033, 0.1001, 0.0, 0.3853, 0.0344, 0.0474, 0.04, 0.0579, 0.0033, 0.0354, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 50.0, 42.0]), label=7.0, probability=DenseVector([0.1623, 0.134, 0.0268, 0.006, 0.1024, 0.0, 0.3141, 0.0393, 0.0547, 0.049, 0.0625, 0.0042, 0.0444, 0.0002]))
Row(prediction=6.0, features=DenseVector([19.0, 51.0, 33.0]), label=8.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 52.0, 27.0]), label=7.0, probability=DenseVector([0.1939, 0.039, 0.0017, 0.0017, 0.0594, 0.0, 0.5621, 0.0387, 0.0359, 0.0224, 0.0283, 0.0017, 0.0152, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 52.0, 33.0]), label=7.0, probability=DenseVector([0.2156, 0.044, 0.0017, 0.0017, 0.0743, 0.0, 0.514, 0.0345, 0.0352, 0.0238, 0.0387, 0.0017, 0.0148, 0.0]))
Row(prediction=6.0, features=DenseVector([19.0, 52.0, 40.0]), label=8.0, probability=DenseVector([0.1894, 0.0951, 0.0085, 0.0033, 0.1001, 0.0, 0.3853, 0.0344, 0.0474, 0.04, 0.0579, 0.0033, 0.0354, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 49.0]), label=7.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 29.0, 53.0]), label=8.0, probability=DenseVector([0.0132, 0.2217, 0.0232, 0.3811, 0.0042, 0.0099, 0.0204, 0.0801, 0.0751, 0.0308, 0.0007, 0.0307, 0.1081, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 47.0]), label=7.0, probability=DenseVector([0.0356, 0.2302, 0.0395, 0.324, 0.0124, 0.0096, 0.0508, 0.075, 0.0769, 0.0323, 0.0056, 0.019, 0.0881, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 48.0]), label=7.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 48.0]), label=7.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 30.0, 48.0]), label=7.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 48.0]), label=7.0, probability=DenseVector([0.0175, 0.1938, 0.0327, 0.418, 0.0044, 0.0139, 0.0293, 0.077, 0.073, 0.0269, 0.0018, 0.023, 0.0877, 0.001]))
Row(prediction=3.0, features=DenseVector([20.0, 31.0, 49.0]), label=8.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 46.0]), label=7.0, probability=DenseVector([0.0432, 0.2581, 0.0385, 0.2781, 0.0164, 0.0104, 0.069, 0.07, 0.0731, 0.032, 0.0076, 0.0173, 0.0856, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=7.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 49.0]), label=7.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 50.0]), label=7.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 32.0, 50.0]), label=7.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=10.0, features=DenseVector([20.0, 33.0, 30.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 33.0, 31.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 47.0]), label=7.0, probability=DenseVector([0.0356, 0.2302, 0.0395, 0.324, 0.0124, 0.0096, 0.0508, 0.075, 0.0769, 0.0323, 0.0056, 0.019, 0.0881, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 49.0]), label=7.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 49.0]), label=7.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 33.0, 49.0]), label=7.0, probability=DenseVector([0.0161, 0.1948, 0.0258, 0.4302, 0.0035, 0.0146, 0.0267, 0.0767, 0.0725, 0.026, 0.0014, 0.0235, 0.0876, 0.0008]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 47.0]), label=7.0, probability=DenseVector([0.0499, 0.2064, 0.0743, 0.2322, 0.0158, 0.0148, 0.051, 0.1052, 0.1093, 0.033, 0.0079, 0.0264, 0.0727, 0.0012]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 48.0]), label=7.0, probability=DenseVector([0.0338, 0.1811, 0.0673, 0.3038, 0.009, 0.0192, 0.0341, 0.1067, 0.1054, 0.0295, 0.0045, 0.0292, 0.0751, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 34.0, 49.0]), label=7.0, probability=DenseVector([0.0324, 0.182, 0.0604, 0.3159, 0.0082, 0.0199, 0.0314, 0.1064, 0.1048, 0.0286, 0.0041, 0.0297, 0.075, 0.0011]))
Row(prediction=3.0, features=DenseVector([20.0, 35.0, 49.0]), label=8.0, probability=DenseVector([0.0415, 0.1746, 0.0823, 0.2352, 0.0112, 0.0191, 0.0387, 0.1234, 0.1258, 0.0333, 0.0056, 0.0369, 0.0711, 0.0011]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 31.0]), label=7.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 34.0]), label=7.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([20.0, 37.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 37.0, 61.0]), label=7.0, probability=DenseVector([0.0362, 0.1863, 0.0905, 0.1778, 0.0119, 0.0228, 0.0298, 0.1127, 0.1467, 0.0636, 0.0079, 0.0481, 0.0645, 0.0013]))
Row(prediction=1.0, features=DenseVector([20.0, 38.0, 41.0]), label=10.0, probability=DenseVector([0.1349, 0.2039, 0.0117, 0.0295, 0.0811, 0.0009, 0.1823, 0.0495, 0.0376, 0.0343, 0.1776, 0.0054, 0.0513, 0.0]))
Row(prediction=1.0, features=DenseVector([20.0, 38.0, 46.0]), label=7.0, probability=DenseVector([0.0637, 0.2147, 0.0903, 0.163, 0.02, 0.014, 0.0573, 0.1132, 0.1217, 0.0364, 0.0107, 0.0309, 0.063, 0.0012]))
Row(prediction=10.0, features=DenseVector([20.0, 39.0, 34.0]), label=10.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=3.0, features=DenseVector([20.0, 39.0, 48.0]), label=7.0, probability=DenseVector([0.0453, 0.1692, 0.0999, 0.208, 0.0135, 0.0175, 0.0417, 0.126, 0.1274, 0.036, 0.0068, 0.0381, 0.0692, 0.0014]))
Row(prediction=3.0, features=DenseVector([20.0, 40.0, 50.0]), label=8.0, probability=DenseVector([0.0511, 0.1524, 0.1274, 0.1757, 0.0137, 0.0091, 0.0479, 0.1115, 0.1392, 0.0453, 0.0079, 0.0383, 0.0793, 0.0012]))
Row(prediction=6.0, features=DenseVector([20.0, 43.0, 40.0]), label=8.0, probability=DenseVector([0.1722, 0.1209, 0.0123, 0.0031, 0.1132, 0.0001, 0.2333, 0.0269, 0.0243, 0.0375, 0.2198, 0.0023, 0.0341, 0.0]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 44.0]), label=7.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 43.0, 46.0]), label=8.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 45.0]), label=8.0, probability=DenseVector([0.0681, 0.1489, 0.1645, 0.112, 0.0262, 0.0084, 0.0733, 0.0976, 0.1377, 0.057, 0.0171, 0.0332, 0.0543, 0.0017]))
Row(prediction=2.0, features=DenseVector([20.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0621, 0.1492, 0.1539, 0.1421, 0.0224, 0.0092, 0.0623, 0.0993, 0.1395, 0.0543, 0.015, 0.0367, 0.0525, 0.0015]))
Row(prediction=6.0, features=DenseVector([20.0, 45.0, 31.0]), label=7.0, probability=DenseVector([0.2117, 0.0615, 0.0092, 0.0044, 0.1405, 0.0, 0.2496, 0.0252, 0.032, 0.0237, 0.2197, 0.0013, 0.0209, 0.0002]))
Row(prediction=2.0, features=DenseVector([20.0, 46.0, 46.0]), label=8.0, probability=DenseVector([0.0536, 0.1245, 0.2412, 0.0913, 0.027, 0.0016, 0.0912, 0.0875, 0.1256, 0.0618, 0.0188, 0.0277, 0.0372, 0.0111]))
Row(prediction=6.0, features=DenseVector([20.0, 47.0, 42.0]), label=8.0, probability=DenseVector([0.0933, 0.1158, 0.1428, 0.0541, 0.0521, 0.0006, 0.2476, 0.0575, 0.0793, 0.0579, 0.043, 0.0169, 0.0349, 0.0042]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 43.0]), label=8.0, probability=DenseVector([0.0694, 0.1147, 0.2047, 0.0784, 0.0398, 0.0013, 0.1731, 0.0669, 0.0995, 0.0594, 0.0272, 0.0224, 0.0345, 0.0086]))
Row(prediction=2.0, features=DenseVector([20.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0513, 0.1131, 0.242, 0.0894, 0.0295, 0.0016, 0.115, 0.0778, 0.1207, 0.0617, 0.0228, 0.0278, 0.0361, 0.0111]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 37.0]), label=7.0, probability=DenseVector([0.1095, 0.0519, 0.0298, 0.0272, 0.0432, 0.0, 0.5672, 0.0243, 0.0417, 0.043, 0.0389, 0.0065, 0.0166, 0.0003]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 40.0]), label=8.0, probability=DenseVector([0.1053, 0.0578, 0.0398, 0.0285, 0.037, 0.0, 0.5695, 0.0259, 0.0452, 0.0443, 0.023, 0.0068, 0.0164, 0.0004]))
Row(prediction=6.0, features=DenseVector([20.0, 48.0, 41.0]), label=8.0, probability=DenseVector([0.0898, 0.0687, 0.0602, 0.0296, 0.0448, 0.0, 0.5193, 0.0287, 0.0503, 0.0493, 0.0304, 0.0073, 0.0209, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 41.0]), label=7.0, probability=DenseVector([0.0898, 0.0687, 0.0602, 0.0296, 0.0448, 0.0, 0.5193, 0.0287, 0.0503, 0.0493, 0.0304, 0.0073, 0.0209, 0.0006]))
Row(prediction=6.0, features=DenseVector([20.0, 49.0, 42.0]), label=8.0, probability=DenseVector([0.0839, 0.1116, 0.1466, 0.054, 0.0469, 0.0006, 0.2769, 0.0588, 0.0792, 0.056, 0.0329, 0.0169, 0.0317, 0.0042]))
Row(prediction=2.0, features=DenseVector([20.0, 50.0, 49.0]), label=8.0, probability=DenseVector([0.0488, 0.1177, 0.2162, 0.1188, 0.0271, 0.0023, 0.1055, 0.0805, 0.123, 0.06, 0.0215, 0.0318, 0.0379, 0.0088]))
Row(prediction=6.0, features=DenseVector([20.0, 54.0, 47.0]), label=8.0, probability=DenseVector([0.0567, 0.1004, 0.1687, 0.0697, 0.0451, 0.0008, 0.1739, 0.0655, 0.13, 0.0918, 0.0346, 0.0205, 0.0366, 0.0057]))
Row(prediction=6.0, features=DenseVector([20.0, 58.0, 47.0]), label=7.0, probability=DenseVector([0.0524, 0.0961, 0.1617, 0.073, 0.0428, 0.0008, 0.1697, 0.0608, 0.1252, 0.1267, 0.0301, 0.0193, 0.0356, 0.0057]))
Row(prediction=3.0, features=DenseVector([21.0, 30.0, 49.0]), label=8.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 48.0]), label=7.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 49.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 31.0, 50.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 49.0]), label=8.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 32.0, 50.0]), label=8.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=10.0, features=DenseVector([21.0, 33.0, 39.0]), label=7.0, probability=DenseVector([0.1331, 0.135, 0.0076, 0.0025, 0.1194, 0.0, 0.2341, 0.025, 0.0172, 0.0269, 0.2593, 0.0019, 0.0378, 0.0]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 46.0]), label=7.0, probability=DenseVector([0.0352, 0.2264, 0.0598, 0.2939, 0.0155, 0.0157, 0.07, 0.0653, 0.075, 0.0348, 0.007, 0.0196, 0.0797, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 48.0]), label=7.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 49.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 33.0, 50.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 47.0]), label=7.0, probability=DenseVector([0.0482, 0.1888, 0.0955, 0.2407, 0.0164, 0.0201, 0.0518, 0.0955, 0.1086, 0.0354, 0.0089, 0.0282, 0.0594, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 49.0]), label=7.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 50.0]), label=7.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 34.0, 50.0]), label=7.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 49.0]), label=8.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 50.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0394, 0.1637, 0.101, 0.2512, 0.0112, 0.029, 0.0351, 0.1079, 0.1275, 0.0355, 0.0063, 0.0387, 0.0511, 0.0024]))
Row(prediction=1.0, features=DenseVector([21.0, 36.0, 44.0]), label=7.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=10.0, features=DenseVector([21.0, 37.0, 40.0]), label=7.0, probability=DenseVector([0.1483, 0.121, 0.0093, 0.0025, 0.1268, 0.0, 0.1974, 0.0289, 0.0195, 0.0313, 0.2784, 0.0024, 0.0343, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 37.0, 47.0]), label=8.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 37.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([21.0, 38.0, 48.0]), label=8.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=10.0, features=DenseVector([21.0, 39.0, 34.0]), label=7.0, probability=DenseVector([0.143, 0.0464, 0.0015, 0.0017, 0.1982, 0.0, 0.1281, 0.0264, 0.0145, 0.0124, 0.4094, 0.0005, 0.0178, 0.0]))
Row(prediction=1.0, features=DenseVector([21.0, 39.0, 46.0]), label=8.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([21.0, 39.0, 47.0]), label=8.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 39.0, 48.0]), label=8.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([21.0, 39.0, 49.0]), label=8.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=2.0, features=DenseVector([21.0, 40.0, 46.0]), label=8.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=2.0, features=DenseVector([21.0, 40.0, 47.0]), label=8.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([21.0, 40.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 40.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=2.0, features=DenseVector([21.0, 41.0, 47.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([21.0, 41.0, 63.0]), label=8.0, probability=DenseVector([0.049, 0.15, 0.118, 0.1548, 0.0197, 0.0123, 0.0391, 0.0859, 0.1531, 0.0918, 0.012, 0.0485, 0.0647, 0.0011]))
Row(prediction=3.0, features=DenseVector([21.0, 42.0, 49.0]), label=7.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=6.0, features=DenseVector([21.0, 43.0, 40.0]), label=8.0, probability=DenseVector([0.1722, 0.1209, 0.0123, 0.0031, 0.1132, 0.0001, 0.2333, 0.0269, 0.0243, 0.0375, 0.2198, 0.0023, 0.0341, 0.0]))
Row(prediction=2.0, features=DenseVector([21.0, 43.0, 43.0]), label=8.0, probability=DenseVector([0.0808, 0.1327, 0.1539, 0.1031, 0.0371, 0.0113, 0.1274, 0.078, 0.1126, 0.0599, 0.0249, 0.0287, 0.047, 0.0026]))
Row(prediction=6.0, features=DenseVector([21.0, 44.0, 39.0]), label=7.0, probability=DenseVector([0.1741, 0.1223, 0.0163, 0.005, 0.1022, 0.0, 0.2661, 0.0271, 0.0256, 0.0376, 0.1866, 0.0025, 0.0341, 0.0002]))
Row(prediction=6.0, features=DenseVector([21.0, 45.0, 42.0]), label=7.0, probability=DenseVector([0.0989, 0.1292, 0.1284, 0.0672, 0.0474, 0.0028, 0.2045, 0.0661, 0.0894, 0.0597, 0.0402, 0.0214, 0.0424, 0.0022]))
Row(prediction=6.0, features=DenseVector([21.0, 46.0, 42.0]), label=0.0, probability=DenseVector([0.0945, 0.1208, 0.1531, 0.0608, 0.0478, 0.0008, 0.2191, 0.061, 0.0814, 0.0619, 0.0399, 0.0187, 0.0345, 0.0057]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 46.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([21.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=6.0, features=DenseVector([21.0, 48.0, 24.0]), label=7.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=2.0, features=DenseVector([21.0, 48.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 22.0]), label=7.0, probability=DenseVector([0.0842, 0.0466, 0.0175, 0.0184, 0.0287, 0.0, 0.6845, 0.0244, 0.029, 0.0306, 0.0164, 0.0045, 0.0149, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 49.0, 37.0]), label=8.0, probability=DenseVector([0.0947, 0.0478, 0.032, 0.0291, 0.0386, 0.0, 0.5879, 0.0242, 0.045, 0.0427, 0.0351, 0.0069, 0.0158, 0.0003]))
Row(prediction=6.0, features=DenseVector([21.0, 51.0, 30.0]), label=7.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 32.0]), label=7.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 52.0, 37.0]), label=8.0, probability=DenseVector([0.0768, 0.0363, 0.0296, 0.0346, 0.0252, 0.0, 0.6583, 0.0193, 0.0468, 0.0411, 0.0087, 0.0075, 0.0157, 0.0001]))
Row(prediction=6.0, features=DenseVector([21.0, 55.0, 34.0]), label=7.0, probability=DenseVector([0.0712, 0.0367, 0.0161, 0.0256, 0.0233, 0.0, 0.72, 0.018, 0.0346, 0.0297, 0.0048, 0.0054, 0.0143, 0.0001]))
Row(prediction=3.0, features=DenseVector([22.0, 30.0, 46.0]), label=7.0, probability=DenseVector([0.0352, 0.2264, 0.0598, 0.2939, 0.0155, 0.0157, 0.07, 0.0653, 0.075, 0.0348, 0.007, 0.0196, 0.0797, 0.0022]))
Row(prediction=3.0, features=DenseVector([22.0, 32.0, 51.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 49.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 49.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 49.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 50.0]), label=8.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([22.0, 33.0, 50.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=1.0, features=DenseVector([22.0, 34.0, 46.0]), label=7.0, probability=DenseVector([0.0495, 0.2025, 0.0946, 0.2021, 0.0189, 0.0209, 0.0702, 0.0954, 0.1073, 0.0354, 0.0092, 0.027, 0.0642, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 50.0]), label=7.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 34.0, 50.0]), label=8.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=1.0, features=DenseVector([22.0, 35.0, 43.0]), label=7.0, probability=DenseVector([0.061, 0.1876, 0.0961, 0.1664, 0.0232, 0.0169, 0.0826, 0.1033, 0.1154, 0.0386, 0.0174, 0.0311, 0.0581, 0.0022]))
Row(prediction=3.0, features=DenseVector([22.0, 35.0, 50.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=1.0, features=DenseVector([22.0, 36.0, 46.0]), label=7.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 48.0]), label=7.0, probability=DenseVector([0.0432, 0.1666, 0.1011, 0.2348, 0.013, 0.0244, 0.0402, 0.1118, 0.1265, 0.0363, 0.007, 0.0389, 0.0535, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 36.0, 50.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=10.0, features=DenseVector([22.0, 37.0, 35.0]), label=7.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 37.0, 46.0]), label=7.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([22.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 48.0]), label=8.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 38.0, 49.0]), label=8.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=10.0, features=DenseVector([22.0, 39.0, 36.0]), label=7.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=1.0, features=DenseVector([22.0, 39.0, 45.0]), label=8.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 48.0]), label=8.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 48.0]), label=8.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 49.0]), label=8.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 50.0]), label=8.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([22.0, 39.0, 50.0]), label=8.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=10.0, features=DenseVector([22.0, 40.0, 36.0]), label=8.0, probability=DenseVector([0.1338, 0.0474, 0.0036, 0.0039, 0.1814, 0.0, 0.1618, 0.0244, 0.0157, 0.017, 0.3917, 0.0009, 0.0183, 0.0]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 48.0]), label=7.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 40.0, 50.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([22.0, 41.0, 52.0]), label=7.0, probability=DenseVector([0.0509, 0.1458, 0.1341, 0.1915, 0.0133, 0.0154, 0.0375, 0.0966, 0.1475, 0.053, 0.0072, 0.0511, 0.0543, 0.0019]))
Row(prediction=10.0, features=DenseVector([22.0, 42.0, 34.0]), label=8.0, probability=DenseVector([0.1327, 0.0478, 0.0015, 0.0023, 0.181, 0.0, 0.1742, 0.0245, 0.0135, 0.0139, 0.3909, 0.0006, 0.017, 0.0]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 46.0]), label=8.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 47.0]), label=8.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 42.0, 48.0]), label=7.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([22.0, 42.0, 52.0]), label=7.0, probability=DenseVector([0.0502, 0.1433, 0.1423, 0.1883, 0.014, 0.0154, 0.0397, 0.0932, 0.1466, 0.0551, 0.0076, 0.0499, 0.0526, 0.0019]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 47.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([22.0, 43.0, 47.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([22.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([22.0, 43.0, 51.0]), label=7.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=8.0, features=DenseVector([22.0, 43.0, 57.0]), label=8.0, probability=DenseVector([0.0479, 0.1475, 0.1312, 0.1493, 0.0212, 0.0122, 0.0444, 0.082, 0.1519, 0.0946, 0.0126, 0.047, 0.0571, 0.0012]))
Row(prediction=6.0, features=DenseVector([22.0, 45.0, 34.0]), label=8.0, probability=DenseVector([0.1927, 0.0591, 0.0086, 0.0049, 0.1317, 0.0, 0.2823, 0.0229, 0.0297, 0.0242, 0.2219, 0.0014, 0.0205, 0.0002]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([22.0, 45.0, 50.0]), label=7.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=6.0, features=DenseVector([22.0, 46.0, 39.0]), label=7.0, probability=DenseVector([0.1624, 0.117, 0.0212, 0.0113, 0.0767, 0.0, 0.3342, 0.0235, 0.0298, 0.0485, 0.1387, 0.004, 0.0326, 0.0002]))
Row(prediction=2.0, features=DenseVector([22.0, 46.0, 50.0]), label=8.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([22.0, 47.0, 42.0]), label=8.0, probability=DenseVector([0.0864, 0.1124, 0.1644, 0.0614, 0.0468, 0.0007, 0.2355, 0.0603, 0.0829, 0.0575, 0.035, 0.0184, 0.0327, 0.0057]))
Row(prediction=2.0, features=DenseVector([22.0, 47.0, 50.0]), label=8.0, probability=DenseVector([0.0397, 0.117, 0.2359, 0.14, 0.0193, 0.003, 0.0776, 0.0857, 0.1302, 0.0585, 0.0122, 0.0347, 0.0362, 0.0102]))
Row(prediction=6.0, features=DenseVector([22.0, 48.0, 40.0]), label=7.0, probability=DenseVector([0.0932, 0.0541, 0.0413, 0.0306, 0.0354, 0.0, 0.5797, 0.0245, 0.0458, 0.0473, 0.0231, 0.0072, 0.0174, 0.0004]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 40.0]), label=7.0, probability=DenseVector([0.088, 0.0505, 0.044, 0.0327, 0.0335, 0.0, 0.5842, 0.0243, 0.0494, 0.0473, 0.0212, 0.0076, 0.0169, 0.0004]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 40.0]), label=7.0, probability=DenseVector([0.088, 0.0505, 0.044, 0.0327, 0.0335, 0.0, 0.5842, 0.0243, 0.0494, 0.0473, 0.0212, 0.0076, 0.0169, 0.0004]))
Row(prediction=6.0, features=DenseVector([22.0, 49.0, 41.0]), label=7.0, probability=DenseVector([0.083, 0.0652, 0.0819, 0.0369, 0.0395, 0.0001, 0.5072, 0.0315, 0.0539, 0.0488, 0.0224, 0.0089, 0.0188, 0.002]))
Row(prediction=2.0, features=DenseVector([22.0, 49.0, 45.0]), label=7.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([22.0, 50.0, 39.0]), label=8.0, probability=DenseVector([0.0887, 0.0496, 0.0384, 0.0313, 0.0328, 0.0, 0.595, 0.0231, 0.047, 0.0476, 0.021, 0.0076, 0.0175, 0.0003]))
Row(prediction=6.0, features=DenseVector([22.0, 53.0, 35.0]), label=8.0, probability=DenseVector([0.07, 0.0346, 0.0219, 0.0307, 0.0246, 0.0, 0.6942, 0.0163, 0.0391, 0.0371, 0.0081, 0.0064, 0.017, 0.0001]))
Row(prediction=6.0, features=DenseVector([22.0, 54.0, 27.0]), label=8.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=3.0, features=DenseVector([23.0, 32.0, 46.0]), label=7.0, probability=DenseVector([0.0352, 0.2264, 0.0598, 0.2939, 0.0155, 0.0157, 0.07, 0.0653, 0.075, 0.0348, 0.007, 0.0196, 0.0797, 0.0022]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 50.0]), label=7.0, probability=DenseVector([0.0328, 0.1749, 0.0723, 0.3277, 0.0091, 0.0258, 0.0303, 0.0945, 0.105, 0.0308, 0.0051, 0.0322, 0.0572, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0295, 0.1674, 0.0945, 0.2811, 0.0081, 0.0243, 0.0232, 0.1056, 0.1407, 0.0384, 0.0043, 0.0376, 0.0434, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 50.0]), label=8.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 50.0]), label=8.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0356, 0.1657, 0.1082, 0.2333, 0.0093, 0.0241, 0.0259, 0.1156, 0.1536, 0.0398, 0.005, 0.0427, 0.0393, 0.0018]))
Row(prediction=3.0, features=DenseVector([23.0, 36.0, 54.0]), label=7.0, probability=DenseVector([0.0377, 0.1787, 0.104, 0.2029, 0.011, 0.0244, 0.0273, 0.1126, 0.1448, 0.0496, 0.0062, 0.0502, 0.0488, 0.0019]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 48.0]), label=8.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 49.0]), label=8.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0365, 0.1629, 0.115, 0.2277, 0.0096, 0.0284, 0.026, 0.1153, 0.1503, 0.0402, 0.0052, 0.0428, 0.0385, 0.0017]))
Row(prediction=3.0, features=DenseVector([23.0, 37.0, 55.0]), label=7.0, probability=DenseVector([0.0371, 0.1847, 0.0998, 0.193, 0.0113, 0.0236, 0.0283, 0.1116, 0.1462, 0.0543, 0.0061, 0.0505, 0.0522, 0.0015]))
Row(prediction=1.0, features=DenseVector([23.0, 38.0, 46.0]), label=8.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 49.0]), label=8.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 50.0]), label=8.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 50.0]), label=8.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=3.0, features=DenseVector([23.0, 38.0, 55.0]), label=8.0, probability=DenseVector([0.0371, 0.1847, 0.0998, 0.193, 0.0113, 0.0236, 0.0283, 0.1116, 0.1462, 0.0543, 0.0061, 0.0505, 0.0522, 0.0015]))
Row(prediction=1.0, features=DenseVector([23.0, 39.0, 45.0]), label=8.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 48.0]), label=8.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 49.0]), label=8.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 50.0]), label=8.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0406, 0.1578, 0.1083, 0.237, 0.012, 0.0399, 0.0344, 0.1075, 0.1296, 0.0349, 0.0073, 0.0391, 0.0484, 0.0033]))
Row(prediction=3.0, features=DenseVector([23.0, 39.0, 57.0]), label=8.0, probability=DenseVector([0.0359, 0.1827, 0.0962, 0.1866, 0.0121, 0.0234, 0.0289, 0.1078, 0.1476, 0.0645, 0.008, 0.0495, 0.0554, 0.0014]))
Row(prediction=2.0, features=DenseVector([23.0, 40.0, 47.0]), label=8.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([23.0, 40.0, 54.0]), label=8.0, probability=DenseVector([0.0519, 0.1537, 0.1307, 0.1721, 0.0145, 0.0154, 0.0376, 0.0949, 0.1474, 0.061, 0.008, 0.0531, 0.0579, 0.0019]))
Row(prediction=1.0, features=DenseVector([23.0, 41.0, 43.0]), label=7.0, probability=DenseVector([0.071, 0.1577, 0.1387, 0.1096, 0.0307, 0.0114, 0.1231, 0.0856, 0.1142, 0.0505, 0.0202, 0.0292, 0.0557, 0.0025]))
Row(prediction=3.0, features=DenseVector([23.0, 41.0, 48.0]), label=7.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=2.0, features=DenseVector([23.0, 42.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([23.0, 42.0, 49.0]), label=7.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=6.0, features=DenseVector([23.0, 43.0, 33.0]), label=7.0, probability=DenseVector([0.1299, 0.0578, 0.0075, 0.0077, 0.0852, 0.0044, 0.4439, 0.0134, 0.0175, 0.0434, 0.1685, 0.0014, 0.0193, 0.0002]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 46.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([23.0, 43.0, 48.0]), label=7.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([23.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=2.0, features=DenseVector([23.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 45.0]), label=8.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 45.0, 46.0]), label=8.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 46.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([23.0, 46.0, 60.0]), label=8.0, probability=DenseVector([0.0373, 0.1357, 0.1843, 0.1208, 0.0258, 0.0048, 0.058, 0.0744, 0.137, 0.1086, 0.0141, 0.0422, 0.0486, 0.0083]))
Row(prediction=2.0, features=DenseVector([23.0, 48.0, 46.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([23.0, 49.0, 42.0]), label=8.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=6.0, features=DenseVector([23.0, 54.0, 33.0]), label=7.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=3.0, features=DenseVector([24.0, 27.0, 52.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 53.0]), label=8.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([24.0, 31.0, 58.0]), label=8.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 50.0]), label=8.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 32.0, 56.0]), label=7.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 49.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([24.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([24.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0303, 0.1707, 0.0931, 0.2748, 0.0087, 0.0243, 0.0235, 0.1048, 0.1389, 0.0408, 0.0047, 0.0388, 0.0446, 0.0019]))
Row(prediction=1.0, features=DenseVector([24.0, 35.0, 47.0]), label=7.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=1.0, features=DenseVector([24.0, 36.0, 46.0]), label=8.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 36.0, 50.0]), label=8.0, probability=DenseVector([0.0418, 0.1675, 0.0942, 0.247, 0.0122, 0.025, 0.0376, 0.1114, 0.126, 0.0355, 0.0066, 0.0394, 0.0534, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 49.0]), label=8.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 38.0, 50.0]), label=7.0, probability=DenseVector([0.043, 0.1617, 0.1015, 0.2327, 0.0129, 0.0359, 0.0369, 0.1111, 0.1281, 0.0349, 0.0076, 0.0399, 0.0507, 0.0031]))
Row(prediction=1.0, features=DenseVector([24.0, 39.0, 45.0]), label=8.0, probability=DenseVector([0.0557, 0.183, 0.1116, 0.1788, 0.019, 0.0193, 0.0583, 0.1084, 0.1236, 0.0392, 0.0101, 0.0332, 0.0571, 0.0026]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 48.0]), label=8.0, probability=DenseVector([0.0457, 0.1621, 0.1118, 0.2198, 0.0145, 0.0234, 0.0406, 0.1141, 0.1276, 0.0381, 0.0078, 0.0406, 0.0514, 0.0025]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 49.0]), label=7.0, probability=DenseVector([0.0443, 0.163, 0.1049, 0.2319, 0.0136, 0.0241, 0.038, 0.1137, 0.127, 0.0373, 0.0074, 0.0411, 0.0513, 0.0023]))
Row(prediction=3.0, features=DenseVector([24.0, 39.0, 53.0]), label=8.0, probability=DenseVector([0.0372, 0.1663, 0.1136, 0.2215, 0.0102, 0.0284, 0.0263, 0.1145, 0.1485, 0.0426, 0.0055, 0.044, 0.0397, 0.0017]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 49.0]), label=7.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 40.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=2.0, features=DenseVector([24.0, 41.0, 45.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 49.0]), label=7.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([24.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 47.0]), label=8.0, probability=DenseVector([0.0551, 0.1279, 0.1871, 0.1366, 0.0197, 0.0139, 0.0619, 0.0912, 0.141, 0.0544, 0.0117, 0.038, 0.0582, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 42.0, 48.0]), label=8.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 49.0]), label=7.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 49.0]), label=7.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 42.0, 50.0]), label=7.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=2.0, features=DenseVector([24.0, 43.0, 48.0]), label=8.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([24.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 45.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 46.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 46.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 46.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([24.0, 44.0, 47.0]), label=8.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=3.0, features=DenseVector([24.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([24.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=6.0, features=DenseVector([24.0, 45.0, 42.0]), label=8.0, probability=DenseVector([0.0856, 0.1194, 0.1328, 0.0715, 0.0454, 0.0029, 0.2295, 0.0645, 0.0876, 0.0628, 0.0341, 0.0218, 0.0397, 0.0027]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 45.0]), label=8.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 46.0]), label=8.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 46.0]), label=8.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 46.0]), label=8.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 45.0, 50.0]), label=7.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 45.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 46.0]), label=7.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=2.0, features=DenseVector([24.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0411, 0.1161, 0.2428, 0.1278, 0.0201, 0.0023, 0.0802, 0.086, 0.1308, 0.0593, 0.0126, 0.0342, 0.0363, 0.0104]))
Row(prediction=2.0, features=DenseVector([24.0, 47.0, 46.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 40.0]), label=7.0, probability=DenseVector([0.0893, 0.0485, 0.0419, 0.0349, 0.0386, 0.0001, 0.5754, 0.0216, 0.0441, 0.0522, 0.0271, 0.0076, 0.0178, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 48.0, 42.0]), label=8.0, probability=DenseVector([0.073, 0.1025, 0.1687, 0.0657, 0.0448, 0.0008, 0.2606, 0.0587, 0.081, 0.0605, 0.0289, 0.0188, 0.03, 0.0061]))
Row(prediction=2.0, features=DenseVector([24.0, 48.0, 44.0]), label=8.0, probability=DenseVector([0.0432, 0.1113, 0.271, 0.0984, 0.0224, 0.0017, 0.0898, 0.0824, 0.1273, 0.0612, 0.014, 0.0299, 0.0347, 0.0127]))
Row(prediction=6.0, features=DenseVector([24.0, 49.0, 40.0]), label=7.0, probability=DenseVector([0.0841, 0.0449, 0.0445, 0.037, 0.0367, 0.0001, 0.58, 0.0214, 0.0476, 0.0522, 0.0252, 0.008, 0.0174, 0.0008]))
Row(prediction=6.0, features=DenseVector([24.0, 50.0, 33.0]), label=8.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=6.0, features=DenseVector([24.0, 52.0, 31.0]), label=8.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=2.0, features=DenseVector([24.0, 52.0, 46.0]), label=7.0, probability=DenseVector([0.0476, 0.1023, 0.2437, 0.0857, 0.0316, 0.0009, 0.1473, 0.0742, 0.1106, 0.0666, 0.0206, 0.0247, 0.0354, 0.0088]))
Row(prediction=6.0, features=DenseVector([24.0, 53.0, 37.0]), label=7.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([24.0, 54.0, 29.0]), label=8.0, probability=DenseVector([0.0655, 0.0333, 0.0138, 0.0237, 0.0233, 0.0, 0.7411, 0.0156, 0.0302, 0.0286, 0.0059, 0.0052, 0.0137, 0.0001]))
Row(prediction=9.0, features=DenseVector([24.0, 58.0, 61.0]), label=8.0, probability=DenseVector([0.0363, 0.1176, 0.1074, 0.0895, 0.046, 0.0015, 0.076, 0.0563, 0.1187, 0.2472, 0.0247, 0.031, 0.0444, 0.0034]))
Row(prediction=3.0, features=DenseVector([25.0, 29.0, 49.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 29.0, 60.0]), label=8.0, probability=DenseVector([0.0102, 0.1898, 0.0288, 0.3728, 0.004, 0.0094, 0.0169, 0.0621, 0.0818, 0.0914, 0.0014, 0.0276, 0.1026, 0.0011]))
Row(prediction=3.0, features=DenseVector([25.0, 30.0, 49.0]), label=8.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 48.0]), label=7.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([25.0, 33.0, 51.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 34.0, 48.0]), label=8.0, probability=DenseVector([0.0301, 0.1656, 0.0836, 0.3229, 0.0092, 0.0253, 0.0309, 0.0943, 0.1101, 0.0327, 0.0051, 0.033, 0.0547, 0.0026]))
Row(prediction=6.0, features=DenseVector([25.0, 35.0, 35.0]), label=8.0, probability=DenseVector([0.0856, 0.0509, 0.0101, 0.0123, 0.0547, 0.0115, 0.5413, 0.0098, 0.0133, 0.0725, 0.1148, 0.0019, 0.0211, 0.0002]))
Row(prediction=3.0, features=DenseVector([25.0, 35.0, 54.0]), label=7.0, probability=DenseVector([0.0315, 0.1709, 0.1061, 0.2231, 0.009, 0.0204, 0.022, 0.1144, 0.1547, 0.047, 0.0053, 0.0495, 0.0437, 0.0022]))
Row(prediction=3.0, features=DenseVector([25.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([25.0, 37.0, 48.0]), label=7.0, probability=DenseVector([0.0416, 0.1536, 0.1163, 0.2271, 0.0137, 0.0236, 0.0386, 0.1135, 0.1322, 0.0392, 0.0074, 0.0419, 0.0488, 0.0026]))
Row(prediction=3.0, features=DenseVector([25.0, 37.0, 54.0]), label=7.0, probability=DenseVector([0.0324, 0.1681, 0.1129, 0.2175, 0.0092, 0.0247, 0.022, 0.1142, 0.1514, 0.0475, 0.0054, 0.0496, 0.0429, 0.0021]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([25.0, 39.0, 45.0]), label=8.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=2.0, features=DenseVector([25.0, 40.0, 46.0]), label=7.0, probability=DenseVector([0.0599, 0.1463, 0.1655, 0.1368, 0.0196, 0.0139, 0.0597, 0.0947, 0.1383, 0.0506, 0.0116, 0.0376, 0.0628, 0.0028]))
Row(prediction=3.0, features=DenseVector([25.0, 40.0, 54.0]), label=8.0, probability=DenseVector([0.0508, 0.1515, 0.1353, 0.1795, 0.0135, 0.0155, 0.0343, 0.097, 0.1495, 0.0578, 0.0077, 0.0511, 0.0546, 0.002]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 48.0]), label=7.0, probability=DenseVector([0.0495, 0.135, 0.1544, 0.1827, 0.0145, 0.0145, 0.0468, 0.0982, 0.1422, 0.0476, 0.0085, 0.0427, 0.0608, 0.0026]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 49.0]), label=7.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 49.0]), label=7.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 49.0]), label=7.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 50.0]), label=7.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([25.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=2.0, features=DenseVector([25.0, 42.0, 48.0]), label=7.0, probability=DenseVector([0.0495, 0.1282, 0.1741, 0.1667, 0.0161, 0.0145, 0.0509, 0.0938, 0.144, 0.0516, 0.0096, 0.0417, 0.0563, 0.0029]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=7.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 49.0]), label=7.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=2.0, features=DenseVector([25.0, 43.0, 48.0]), label=8.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([25.0, 43.0, 49.0]), label=7.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 43.0, 52.0]), label=8.0, probability=DenseVector([0.0486, 0.1412, 0.1518, 0.1932, 0.0138, 0.0155, 0.0396, 0.0947, 0.1484, 0.0525, 0.0074, 0.0476, 0.0434, 0.002]))
Row(prediction=3.0, features=DenseVector([25.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([25.0, 44.0, 61.0]), label=8.0, probability=DenseVector([0.0467, 0.1454, 0.1357, 0.1566, 0.0202, 0.0124, 0.0412, 0.0841, 0.1539, 0.0914, 0.0123, 0.045, 0.0538, 0.0013]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 46.0]), label=8.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 46.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 46.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([25.0, 46.0, 52.0]), label=8.0, probability=DenseVector([0.0375, 0.1282, 0.2057, 0.1696, 0.0157, 0.0091, 0.0556, 0.0861, 0.1402, 0.0617, 0.0088, 0.0395, 0.0331, 0.0093]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 46.0]), label=8.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 47.0]), label=8.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 47.0]), label=8.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 47.0, 47.0]), label=8.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 47.0]), label=4.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 48.0, 51.0]), label=8.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 45.0]), label=8.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([25.0, 49.0, 51.0]), label=8.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=6.0, features=DenseVector([25.0, 51.0, 40.0]), label=8.0, probability=DenseVector([0.0699, 0.036, 0.0586, 0.0388, 0.0341, 0.0, 0.5724, 0.0277, 0.062, 0.0519, 0.0175, 0.0128, 0.018, 0.0002]))
Row(prediction=6.0, features=DenseVector([25.0, 52.0, 32.0]), label=8.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=6.0, features=DenseVector([25.0, 54.0, 30.0]), label=8.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=3.0, features=DenseVector([26.0, 27.0, 48.0]), label=8.0, probability=DenseVector([0.0158, 0.1948, 0.0322, 0.4503, 0.0043, 0.0209, 0.0268, 0.0606, 0.0666, 0.027, 0.0022, 0.0243, 0.0723, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 28.0, 52.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 29.0, 54.0]), label=8.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 31.0, 50.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 51.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0101, 0.1899, 0.0306, 0.456, 0.0026, 0.0127, 0.0163, 0.0692, 0.079, 0.0335, 0.0009, 0.0301, 0.0677, 0.0013]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 46.0]), label=7.0, probability=DenseVector([0.0352, 0.2264, 0.0598, 0.2939, 0.0155, 0.0157, 0.07, 0.0653, 0.075, 0.0348, 0.007, 0.0196, 0.0797, 0.0022]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 48.0]), label=7.0, probability=DenseVector([0.0178, 0.1868, 0.0446, 0.4298, 0.0053, 0.0198, 0.0282, 0.0651, 0.0732, 0.029, 0.0028, 0.0255, 0.07, 0.0022]))
Row(prediction=3.0, features=DenseVector([26.0, 33.0, 51.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([26.0, 34.0, 54.0]), label=7.0, probability=DenseVector([0.0255, 0.1725, 0.0925, 0.2709, 0.0078, 0.0206, 0.0192, 0.1045, 0.1419, 0.0457, 0.0046, 0.0444, 0.0478, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 36.0, 47.0]), label=8.0, probability=DenseVector([0.0516, 0.1745, 0.1161, 0.1862, 0.0183, 0.0195, 0.0562, 0.1079, 0.1282, 0.0402, 0.0097, 0.0344, 0.0544, 0.0026]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.039, 0.1532, 0.1059, 0.2401, 0.0121, 0.0361, 0.0348, 0.1106, 0.1327, 0.036, 0.0071, 0.0412, 0.0481, 0.0031]))
Row(prediction=3.0, features=DenseVector([26.0, 37.0, 51.0]), label=8.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 49.0]), label=8.0, probability=DenseVector([0.0403, 0.1546, 0.1093, 0.2393, 0.0129, 0.0242, 0.0359, 0.1132, 0.1316, 0.0383, 0.007, 0.0424, 0.0487, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 51.0]), label=7.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0366, 0.1494, 0.1127, 0.2443, 0.0112, 0.04, 0.0323, 0.107, 0.1342, 0.036, 0.0069, 0.0404, 0.0458, 0.0033]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([26.0, 38.0, 61.0]), label=8.0, probability=DenseVector([0.0307, 0.1721, 0.1052, 0.2013, 0.0103, 0.0237, 0.0236, 0.1094, 0.1543, 0.0623, 0.0073, 0.0489, 0.0495, 0.0016]))
Row(prediction=3.0, features=DenseVector([26.0, 39.0, 49.0]), label=8.0, probability=DenseVector([0.0403, 0.1546, 0.1093, 0.2393, 0.0129, 0.0242, 0.0359, 0.1132, 0.1316, 0.0383, 0.007, 0.0424, 0.0487, 0.0023]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0481, 0.136, 0.1475, 0.1948, 0.0136, 0.0151, 0.0442, 0.0979, 0.1417, 0.0468, 0.0081, 0.0432, 0.0606, 0.0024]))
Row(prediction=3.0, features=DenseVector([26.0, 40.0, 53.0]), label=8.0, probability=DenseVector([0.0505, 0.147, 0.1373, 0.1926, 0.0129, 0.0155, 0.0345, 0.0979, 0.1478, 0.0522, 0.0072, 0.0504, 0.0523, 0.002]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 49.0]), label=8.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.0481, 0.1292, 0.1672, 0.1789, 0.0152, 0.0152, 0.0482, 0.0935, 0.1435, 0.0508, 0.0092, 0.0422, 0.0561, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 43.0, 53.0]), label=7.0, probability=DenseVector([0.0494, 0.1446, 0.1505, 0.187, 0.0144, 0.0155, 0.0399, 0.0939, 0.1466, 0.0549, 0.0078, 0.0489, 0.0446, 0.002]))
Row(prediction=6.0, features=DenseVector([26.0, 44.0, 40.0]), label=7.0, probability=DenseVector([0.1023, 0.0602, 0.0221, 0.0156, 0.0518, 0.0073, 0.5347, 0.0124, 0.0194, 0.0771, 0.0698, 0.0031, 0.0235, 0.0006]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 47.0]), label=7.0, probability=DenseVector([0.0548, 0.128, 0.1922, 0.1342, 0.0206, 0.0139, 0.065, 0.0906, 0.1407, 0.055, 0.0119, 0.0377, 0.0522, 0.0031]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 48.0]), label=7.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=2.0, features=DenseVector([26.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0491, 0.1284, 0.1792, 0.1643, 0.0169, 0.0145, 0.054, 0.0932, 0.1438, 0.0522, 0.0097, 0.0414, 0.0503, 0.0029]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 51.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=3.0, features=DenseVector([26.0, 44.0, 51.0]), label=8.0, probability=DenseVector([0.0478, 0.1293, 0.1723, 0.1765, 0.0161, 0.0152, 0.0513, 0.0929, 0.1432, 0.0514, 0.0093, 0.0419, 0.0502, 0.0027]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 46.0]), label=10.0, probability=DenseVector([0.0521, 0.1229, 0.2223, 0.117, 0.0209, 0.0038, 0.0729, 0.0874, 0.1399, 0.0574, 0.0118, 0.0369, 0.0485, 0.0061]))
Row(prediction=2.0, features=DenseVector([26.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0451, 0.1242, 0.2024, 0.1593, 0.0163, 0.0051, 0.0593, 0.0897, 0.1424, 0.0537, 0.0092, 0.0412, 0.0465, 0.0057]))
Row(prediction=6.0, features=DenseVector([26.0, 46.0, 41.0]), label=7.0, probability=DenseVector([0.0977, 0.0805, 0.0609, 0.029, 0.054, 0.0074, 0.4473, 0.0248, 0.0348, 0.0698, 0.0599, 0.0067, 0.025, 0.0024]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 46.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 46.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 49.0]), label=7.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 46.0, 51.0]), label=8.0, probability=DenseVector([0.0368, 0.1173, 0.2498, 0.1412, 0.0174, 0.003, 0.0717, 0.0847, 0.1296, 0.0578, 0.01, 0.0361, 0.0344, 0.0102]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 46.0]), label=8.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 46.0]), label=8.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 46.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 47.0, 48.0]), label=7.0, probability=DenseVector([0.0381, 0.1163, 0.2567, 0.129, 0.0183, 0.0023, 0.0743, 0.0851, 0.1301, 0.0587, 0.0104, 0.0356, 0.0346, 0.0105]))
Row(prediction=2.0, features=DenseVector([26.0, 48.0, 44.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 44.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 49.0, 47.0]), label=7.0, probability=DenseVector([0.0402, 0.1116, 0.2849, 0.0996, 0.0206, 0.0017, 0.0839, 0.0815, 0.1267, 0.0606, 0.0118, 0.0314, 0.0329, 0.0128]))
Row(prediction=2.0, features=DenseVector([26.0, 51.0, 52.0]), label=8.0, probability=DenseVector([0.0334, 0.11, 0.17, 0.1273, 0.0343, 0.0016, 0.0956, 0.0649, 0.1098, 0.1659, 0.0161, 0.0281, 0.0383, 0.0048]))
Row(prediction=6.0, features=DenseVector([26.0, 52.0, 38.0]), label=8.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=9.0, features=DenseVector([26.0, 52.0, 60.0]), label=7.0, probability=DenseVector([0.0332, 0.1158, 0.1629, 0.1015, 0.0364, 0.0013, 0.0964, 0.0595, 0.1112, 0.1841, 0.0189, 0.0292, 0.045, 0.0046]))
Row(prediction=6.0, features=DenseVector([26.0, 53.0, 38.0]), label=8.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=3.0, features=DenseVector([27.0, 31.0, 57.0]), label=7.0, probability=DenseVector([0.0102, 0.2054, 0.0329, 0.3794, 0.0037, 0.0092, 0.0176, 0.0705, 0.0852, 0.0508, 0.0014, 0.0415, 0.0912, 0.0011]))
Row(prediction=3.0, features=DenseVector([27.0, 32.0, 60.0]), label=7.0, probability=DenseVector([0.0102, 0.2028, 0.0317, 0.3763, 0.0041, 0.0092, 0.017, 0.0693, 0.086, 0.066, 0.0014, 0.036, 0.0889, 0.0011]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 49.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 51.0]), label=7.0, probability=DenseVector([0.0165, 0.1877, 0.0377, 0.442, 0.0045, 0.0205, 0.0256, 0.0648, 0.0726, 0.0282, 0.0024, 0.026, 0.0698, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 43.0]), label=8.0, probability=DenseVector([0.0491, 0.1573, 0.1225, 0.1826, 0.0215, 0.0249, 0.097, 0.0938, 0.1157, 0.0407, 0.0138, 0.0319, 0.0453, 0.0039]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 49.0]), label=8.0, probability=DenseVector([0.0347, 0.1507, 0.1148, 0.2612, 0.0106, 0.0262, 0.0325, 0.1063, 0.1319, 0.0356, 0.0062, 0.0411, 0.0454, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 49.0]), label=7.0, probability=DenseVector([0.0347, 0.1507, 0.1148, 0.2612, 0.0106, 0.0262, 0.0325, 0.1063, 0.1319, 0.0356, 0.0062, 0.0411, 0.0454, 0.0028]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 51.0]), label=7.0, probability=DenseVector([0.0323, 0.1469, 0.1216, 0.2655, 0.0097, 0.0301, 0.03, 0.1027, 0.1334, 0.0356, 0.0059, 0.0403, 0.0431, 0.0029]))
Row(prediction=3.0, features=DenseVector([27.0, 36.0, 61.0]), label=8.0, probability=DenseVector([0.0307, 0.1721, 0.1052, 0.2013, 0.0103, 0.0237, 0.0236, 0.1094, 0.1543, 0.0623, 0.0073, 0.0489, 0.0495, 0.0016]))
Row(prediction=3.0, features=DenseVector([27.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 50.0]), label=8.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([27.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([27.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([27.0, 40.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=6.0, features=DenseVector([27.0, 41.0, 41.0]), label=8.0, probability=DenseVector([0.0817, 0.106, 0.0353, 0.0333, 0.0525, 0.017, 0.44, 0.0258, 0.0281, 0.0653, 0.0795, 0.0047, 0.0292, 0.0017]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([27.0, 41.0, 57.0]), label=7.0, probability=DenseVector([0.0438, 0.1382, 0.1458, 0.1844, 0.0164, 0.0142, 0.0308, 0.0838, 0.1528, 0.0818, 0.0118, 0.048, 0.0461, 0.0022]))
Row(prediction=6.0, features=DenseVector([27.0, 42.0, 40.0]), label=8.0, probability=DenseVector([0.0834, 0.0568, 0.0168, 0.0162, 0.0573, 0.0115, 0.5214, 0.0111, 0.0161, 0.0791, 0.1039, 0.0027, 0.0233, 0.0004]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 49.0]), label=7.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 42.0, 50.0]), label=7.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([27.0, 42.0, 52.0]), label=8.0, probability=DenseVector([0.0449, 0.1315, 0.17, 0.2179, 0.0107, 0.0173, 0.0314, 0.0911, 0.1463, 0.0451, 0.0075, 0.0494, 0.034, 0.003]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 46.0]), label=7.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 49.0]), label=7.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([27.0, 43.0, 62.0]), label=8.0, probability=DenseVector([0.043, 0.1356, 0.1539, 0.1812, 0.0171, 0.0142, 0.033, 0.0805, 0.1518, 0.084, 0.0123, 0.0468, 0.0445, 0.0022]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 47.0]), label=7.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([27.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([27.0, 44.0, 53.0]), label=8.0, probability=DenseVector([0.0457, 0.1348, 0.1687, 0.2116, 0.0113, 0.0173, 0.0318, 0.0903, 0.1445, 0.0475, 0.0078, 0.0507, 0.0353, 0.003]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 45.0]), label=8.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 46.0]), label=7.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([27.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 45.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 46.0]), label=8.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 46.0]), label=8.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 46.0]), label=8.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=6.0, features=DenseVector([27.0, 47.0, 41.0]), label=8.0, probability=DenseVector([0.0879, 0.0683, 0.0756, 0.035, 0.0495, 0.0073, 0.4707, 0.0251, 0.0427, 0.0636, 0.0417, 0.0075, 0.0226, 0.0024]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 45.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 46.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 46.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 46.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([27.0, 47.0, 47.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=6.0, features=DenseVector([27.0, 48.0, 32.0]), label=7.0, probability=DenseVector([0.0815, 0.0431, 0.0207, 0.0228, 0.0327, 0.0, 0.6703, 0.0185, 0.0305, 0.0362, 0.0234, 0.0052, 0.0145, 0.0004]))
Row(prediction=2.0, features=DenseVector([27.0, 48.0, 46.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=6.0, features=DenseVector([27.0, 49.0, 29.0]), label=8.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([27.0, 52.0, 38.0]), label=8.0, probability=DenseVector([0.0743, 0.033, 0.0315, 0.0368, 0.0263, 0.0, 0.6524, 0.0178, 0.0476, 0.0444, 0.0108, 0.0079, 0.0171, 0.0001]))
Row(prediction=6.0, features=DenseVector([27.0, 55.0, 33.0]), label=7.0, probability=DenseVector([0.0676, 0.0339, 0.0159, 0.0262, 0.0241, 0.0, 0.7266, 0.0165, 0.0333, 0.0298, 0.0061, 0.0055, 0.0144, 0.0001]))
Row(prediction=3.0, features=DenseVector([28.0, 30.0, 54.0]), label=7.0, probability=DenseVector([0.0104, 0.1944, 0.0285, 0.4429, 0.0032, 0.0126, 0.0161, 0.0684, 0.0807, 0.0392, 0.0014, 0.0308, 0.0701, 0.0013]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.011, 0.1857, 0.0395, 0.4275, 0.0027, 0.0105, 0.0171, 0.0778, 0.1001, 0.0334, 0.0011, 0.03, 0.0619, 0.0016]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0243, 0.1567, 0.1035, 0.2958, 0.0063, 0.0246, 0.0179, 0.1072, 0.1473, 0.0363, 0.0036, 0.0369, 0.0376, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.025, 0.1601, 0.1021, 0.2895, 0.0069, 0.0245, 0.0182, 0.1064, 0.1455, 0.0387, 0.004, 0.0382, 0.0388, 0.0021]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0304, 0.1551, 0.1171, 0.248, 0.0076, 0.0244, 0.0206, 0.1171, 0.1602, 0.0376, 0.0043, 0.042, 0.0335, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0311, 0.1584, 0.1158, 0.2418, 0.0082, 0.0243, 0.021, 0.1163, 0.1584, 0.04, 0.0047, 0.0433, 0.0347, 0.002]))
Row(prediction=3.0, features=DenseVector([28.0, 35.0, 54.0]), label=8.0, probability=DenseVector([0.0315, 0.1709, 0.1061, 0.2231, 0.009, 0.0204, 0.022, 0.1144, 0.1547, 0.047, 0.0053, 0.0495, 0.0437, 0.0022]))
Row(prediction=3.0, features=DenseVector([28.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 51.0]), label=7.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0313, 0.1523, 0.1239, 0.2424, 0.0078, 0.0287, 0.0207, 0.1169, 0.1569, 0.038, 0.0044, 0.0421, 0.0327, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 45.0]), label=8.0, probability=DenseVector([0.0458, 0.1621, 0.1436, 0.1967, 0.0168, 0.021, 0.0502, 0.1008, 0.1269, 0.0394, 0.0096, 0.035, 0.0468, 0.0053]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 50.0]), label=7.0, probability=DenseVector([0.0359, 0.1448, 0.1221, 0.247, 0.0114, 0.037, 0.0318, 0.106, 0.134, 0.0351, 0.0071, 0.0416, 0.0427, 0.0036]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0335, 0.141, 0.1289, 0.2512, 0.0104, 0.041, 0.0293, 0.1024, 0.1355, 0.0351, 0.0068, 0.0408, 0.0404, 0.0038]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 53.0]), label=7.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 39.0, 53.0]), label=7.0, probability=DenseVector([0.032, 0.1556, 0.1226, 0.2362, 0.0084, 0.0287, 0.021, 0.116, 0.1551, 0.0404, 0.0048, 0.0434, 0.0339, 0.0019]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0457, 0.134, 0.1619, 0.221, 0.01, 0.0173, 0.0291, 0.0945, 0.1472, 0.0429, 0.007, 0.0506, 0.0357, 0.0029]))
Row(prediction=3.0, features=DenseVector([28.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0405, 0.1183, 0.1855, 0.2141, 0.0119, 0.0179, 0.0398, 0.0894, 0.1434, 0.042, 0.0081, 0.0442, 0.0412, 0.0037]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 50.0]), label=7.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 42.0, 51.0]), label=7.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=3.0, features=DenseVector([28.0, 42.0, 60.0]), label=8.0, probability=DenseVector([0.043, 0.1356, 0.1539, 0.1812, 0.0171, 0.0142, 0.033, 0.0805, 0.1518, 0.084, 0.0123, 0.0468, 0.0445, 0.0022]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 47.0]), label=8.0, probability=DenseVector([0.0448, 0.1062, 0.2364, 0.1595, 0.0173, 0.0172, 0.0545, 0.0802, 0.1401, 0.0498, 0.0116, 0.0393, 0.0364, 0.0067]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.0405, 0.1115, 0.2052, 0.1982, 0.0134, 0.018, 0.0439, 0.085, 0.1452, 0.046, 0.0092, 0.0433, 0.0367, 0.0041]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=7.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 44.0, 48.0]), label=7.0, probability=DenseVector([0.0418, 0.1106, 0.2121, 0.186, 0.0143, 0.0173, 0.0465, 0.0853, 0.1457, 0.0468, 0.0096, 0.0428, 0.0368, 0.0043]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0421, 0.101, 0.2665, 0.1423, 0.0175, 0.0071, 0.0625, 0.077, 0.1392, 0.0522, 0.0115, 0.0385, 0.0328, 0.0097]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.0392, 0.1054, 0.2422, 0.1688, 0.0146, 0.0072, 0.0544, 0.0822, 0.1449, 0.0492, 0.0094, 0.042, 0.0332, 0.0073]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 50.0]), label=8.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 50.0]), label=7.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 45.0, 50.0]), label=7.0, probability=DenseVector([0.0378, 0.1064, 0.2353, 0.181, 0.0137, 0.0079, 0.0518, 0.0819, 0.1443, 0.0484, 0.009, 0.0425, 0.033, 0.0071]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 46.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 47.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 48.0]), label=7.0, probability=DenseVector([0.0321, 0.1013, 0.286, 0.1458, 0.016, 0.0048, 0.0678, 0.0782, 0.1305, 0.0545, 0.0101, 0.0362, 0.0248, 0.0118]))
Row(prediction=2.0, features=DenseVector([28.0, 46.0, 49.0]), label=7.0, probability=DenseVector([0.0307, 0.1022, 0.2791, 0.158, 0.0151, 0.0055, 0.0652, 0.0779, 0.13, 0.0537, 0.0097, 0.0367, 0.0246, 0.0115]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 46.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 46.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 47.0, 46.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 48.0, 47.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 45.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 45.0]), label=7.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=2.0, features=DenseVector([28.0, 49.0, 47.0]), label=8.0, probability=DenseVector([0.0315, 0.0925, 0.3255, 0.12, 0.0176, 0.0047, 0.0744, 0.0721, 0.1245, 0.0565, 0.0114, 0.0322, 0.0209, 0.0163]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 28.0]), label=8.0, probability=DenseVector([0.0795, 0.0425, 0.0186, 0.0203, 0.032, 0.0, 0.6848, 0.0176, 0.0274, 0.0349, 0.0232, 0.0049, 0.0138, 0.0004]))
Row(prediction=6.0, features=DenseVector([28.0, 50.0, 42.0]), label=8.0, probability=DenseVector([0.0628, 0.0827, 0.2038, 0.0858, 0.0404, 0.0102, 0.2479, 0.0511, 0.0813, 0.0575, 0.028, 0.0201, 0.0201, 0.0083]))
Row(prediction=2.0, features=DenseVector([28.0, 54.0, 49.0]), label=8.0, probability=DenseVector([0.0319, 0.0897, 0.2392, 0.1411, 0.0319, 0.0042, 0.089, 0.0664, 0.1119, 0.1163, 0.0184, 0.0285, 0.0245, 0.0071]))
Row(prediction=6.0, features=DenseVector([28.0, 56.0, 32.0]), label=7.0, probability=DenseVector([0.0626, 0.0312, 0.0147, 0.0237, 0.0218, 0.0, 0.7469, 0.0152, 0.0307, 0.0301, 0.006, 0.005, 0.0121, 0.0001]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 43.0]), label=8.0, probability=DenseVector([0.0361, 0.2288, 0.0449, 0.2734, 0.02, 0.024, 0.1228, 0.0525, 0.0575, 0.0341, 0.0109, 0.0156, 0.0768, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 29.0, 53.0]), label=7.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 53.0]), label=8.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 32.0, 54.0]), label=8.0, probability=DenseVector([0.0104, 0.1817, 0.0463, 0.4405, 0.0029, 0.0201, 0.0142, 0.0712, 0.0838, 0.0341, 0.0012, 0.0295, 0.0623, 0.0018]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.0113, 0.1775, 0.0552, 0.4119, 0.0031, 0.0179, 0.015, 0.0798, 0.1049, 0.0339, 0.0014, 0.0294, 0.0565, 0.0022]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 50.0]), label=8.0, probability=DenseVector([0.029, 0.1583, 0.0924, 0.3195, 0.0087, 0.0334, 0.0262, 0.0959, 0.1144, 0.0324, 0.0049, 0.0329, 0.0492, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0246, 0.1485, 0.1191, 0.2802, 0.0067, 0.032, 0.0158, 0.1091, 0.1522, 0.0369, 0.0039, 0.0363, 0.0322, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0253, 0.1519, 0.1178, 0.274, 0.0073, 0.0319, 0.0161, 0.1083, 0.1504, 0.0392, 0.0042, 0.0376, 0.0334, 0.0026]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0274, 0.1428, 0.1356, 0.2559, 0.0072, 0.0367, 0.0157, 0.112, 0.158, 0.0378, 0.0043, 0.037, 0.0266, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0281, 0.1461, 0.1343, 0.2497, 0.0078, 0.0367, 0.0161, 0.1112, 0.1562, 0.0402, 0.0046, 0.0383, 0.0278, 0.0029]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 54.0]), label=8.0, probability=DenseVector([0.0292, 0.1512, 0.1335, 0.2385, 0.0083, 0.0371, 0.0173, 0.1098, 0.1476, 0.042, 0.005, 0.0439, 0.0337, 0.003]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 54.0]), label=8.0, probability=DenseVector([0.0292, 0.1512, 0.1335, 0.2385, 0.0083, 0.0371, 0.0173, 0.1098, 0.1476, 0.042, 0.005, 0.0439, 0.0337, 0.003]))
Row(prediction=3.0, features=DenseVector([29.0, 37.0, 56.0]), label=7.0, probability=DenseVector([0.0274, 0.1553, 0.1257, 0.2222, 0.0093, 0.0361, 0.0189, 0.105, 0.1504, 0.0569, 0.0068, 0.0432, 0.0403, 0.0024]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.029, 0.1433, 0.1411, 0.2441, 0.0081, 0.041, 0.0161, 0.1109, 0.1529, 0.0406, 0.0048, 0.0384, 0.027, 0.0027]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 47.0]), label=8.0, probability=DenseVector([0.044, 0.1553, 0.1612, 0.1958, 0.0172, 0.021, 0.0523, 0.0952, 0.1218, 0.0408, 0.0102, 0.0326, 0.044, 0.0085]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0305, 0.1286, 0.1473, 0.2591, 0.0101, 0.0533, 0.0244, 0.0972, 0.1333, 0.0352, 0.0068, 0.0358, 0.0336, 0.0046]))
Row(prediction=3.0, features=DenseVector([29.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0283, 0.14, 0.1424, 0.2503, 0.0075, 0.041, 0.0157, 0.1117, 0.1547, 0.0382, 0.0044, 0.0371, 0.0258, 0.0027]))
Row(prediction=2.0, features=DenseVector([29.0, 40.0, 43.0]), label=8.0, probability=DenseVector([0.0566, 0.1244, 0.1986, 0.1354, 0.0282, 0.0216, 0.1028, 0.0683, 0.1089, 0.0591, 0.0223, 0.0321, 0.0328, 0.009]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 50.0]), label=7.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 40.0, 52.0]), label=7.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=7.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0358, 0.1025, 0.2055, 0.229, 0.0116, 0.0367, 0.033, 0.0829, 0.1379, 0.0411, 0.008, 0.0375, 0.0315, 0.0069]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=7.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=7.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=3.0, features=DenseVector([29.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0378, 0.1095, 0.1886, 0.2362, 0.0118, 0.0431, 0.0223, 0.088, 0.1455, 0.0411, 0.0069, 0.0369, 0.0269, 0.0054]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 44.0]), label=7.0, probability=DenseVector([0.0444, 0.0973, 0.2424, 0.1607, 0.0208, 0.0178, 0.0556, 0.0737, 0.1293, 0.0603, 0.0148, 0.0395, 0.0325, 0.0108]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 49.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 49.0]), label=7.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=7.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=7.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 42.0, 51.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 47.0]), label=8.0, probability=DenseVector([0.042, 0.0985, 0.2474, 0.1687, 0.0171, 0.0237, 0.0525, 0.0765, 0.1327, 0.0481, 0.0117, 0.0363, 0.0325, 0.0123]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0366, 0.0983, 0.2171, 0.2162, 0.0125, 0.0368, 0.0348, 0.0818, 0.1407, 0.043, 0.0086, 0.0377, 0.0287, 0.0073]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0353, 0.0922, 0.2541, 0.1868, 0.0136, 0.0261, 0.0454, 0.079, 0.1404, 0.0462, 0.0089, 0.0365, 0.0252, 0.0105]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 46.0]), label=7.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 46.0]), label=8.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0298, 0.0867, 0.2973, 0.1636, 0.0148, 0.0175, 0.0597, 0.0745, 0.1272, 0.0508, 0.0094, 0.0309, 0.0196, 0.0181]))
Row(prediction=2.0, features=DenseVector([29.0, 46.0, 49.0]), label=8.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 45.0]), label=8.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 46.0]), label=7.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 47.0]), label=8.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=2.0, features=DenseVector([29.0, 47.0, 49.0]), label=8.0, probability=DenseVector([0.0285, 0.0877, 0.2904, 0.1758, 0.014, 0.0181, 0.0571, 0.0742, 0.1267, 0.05, 0.009, 0.0314, 0.0195, 0.0178]))
Row(prediction=2.0, features=DenseVector([29.0, 48.0, 47.0]), label=7.0, probability=DenseVector([0.0304, 0.0835, 0.3359, 0.129, 0.0172, 0.0051, 0.0733, 0.0679, 0.1182, 0.0541, 0.0113, 0.0294, 0.0198, 0.025]))
Row(prediction=6.0, features=DenseVector([29.0, 52.0, 40.0]), label=8.0, probability=DenseVector([0.0673, 0.0328, 0.0728, 0.0413, 0.0293, 0.0001, 0.5654, 0.027, 0.0663, 0.0507, 0.0144, 0.0169, 0.0151, 0.0005]))
Row(prediction=3.0, features=DenseVector([30.0, 30.0, 53.0]), label=7.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 46.0]), label=8.0, probability=DenseVector([0.0243, 0.1873, 0.0947, 0.295, 0.0148, 0.0474, 0.051, 0.0556, 0.0666, 0.0534, 0.0085, 0.0222, 0.0658, 0.0133]))
Row(prediction=3.0, features=DenseVector([30.0, 31.0, 52.0]), label=7.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0092, 0.1832, 0.0459, 0.441, 0.0028, 0.0249, 0.0126, 0.0701, 0.0819, 0.0342, 0.0011, 0.03, 0.0611, 0.0021]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 49.0]), label=7.0, probability=DenseVector([0.0157, 0.1772, 0.0663, 0.3949, 0.0066, 0.0571, 0.02, 0.0612, 0.0733, 0.0355, 0.0041, 0.0261, 0.0584, 0.0038]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.01, 0.1716, 0.0627, 0.4113, 0.0029, 0.0296, 0.0129, 0.0778, 0.0991, 0.0341, 0.0015, 0.0289, 0.055, 0.0027]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 51.0]), label=8.0, probability=DenseVector([0.0256, 0.1308, 0.1375, 0.2854, 0.0097, 0.0829, 0.0176, 0.083, 0.1096, 0.0402, 0.0065, 0.0288, 0.0374, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 52.0]), label=8.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0222, 0.1134, 0.1589, 0.2746, 0.0066, 0.0657, 0.0103, 0.102, 0.1421, 0.0386, 0.0045, 0.03, 0.0271, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 54.0]), label=7.0, probability=DenseVector([0.0228, 0.1194, 0.1487, 0.2806, 0.0069, 0.0565, 0.0104, 0.0996, 0.1422, 0.0393, 0.0044, 0.035, 0.0295, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 54.0]), label=8.0, probability=DenseVector([0.0228, 0.1194, 0.1487, 0.2806, 0.0069, 0.0565, 0.0104, 0.0996, 0.1422, 0.0393, 0.0044, 0.035, 0.0295, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 34.0, 56.0]), label=8.0, probability=DenseVector([0.0228, 0.1174, 0.1476, 0.2755, 0.0105, 0.0605, 0.0102, 0.0955, 0.1403, 0.046, 0.0049, 0.0332, 0.0308, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0245, 0.1006, 0.181, 0.2536, 0.0072, 0.0731, 0.0097, 0.1045, 0.1468, 0.0396, 0.005, 0.0289, 0.0211, 0.0043]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 51.0]), label=7.0, probability=DenseVector([0.0288, 0.1091, 0.1629, 0.2582, 0.0118, 0.091, 0.0169, 0.0874, 0.1222, 0.0377, 0.0082, 0.0292, 0.0293, 0.0071]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 36.0, 56.0]), label=8.0, probability=DenseVector([0.0272, 0.098, 0.1825, 0.2468, 0.0117, 0.0764, 0.0096, 0.0971, 0.1371, 0.048, 0.0056, 0.0315, 0.0235, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 50.0]), label=8.0, probability=DenseVector([0.0325, 0.1071, 0.1634, 0.2397, 0.0135, 0.0979, 0.0187, 0.0906, 0.1229, 0.0372, 0.0095, 0.0305, 0.0289, 0.0078]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 37.0, 54.0]), label=8.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 38.0, 56.0]), label=8.0, probability=DenseVector([0.0272, 0.098, 0.1825, 0.2468, 0.0117, 0.0764, 0.0096, 0.0971, 0.1371, 0.048, 0.0056, 0.0315, 0.0235, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0301, 0.1032, 0.1702, 0.244, 0.0126, 0.1018, 0.0162, 0.087, 0.1244, 0.0372, 0.0092, 0.0297, 0.0266, 0.0079]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 53.0]), label=8.0, probability=DenseVector([0.0266, 0.094, 0.1939, 0.2459, 0.0079, 0.0816, 0.0097, 0.1035, 0.1389, 0.0406, 0.0052, 0.0283, 0.0198, 0.004]))
Row(prediction=3.0, features=DenseVector([30.0, 39.0, 54.0]), label=7.0, probability=DenseVector([0.0272, 0.1, 0.1837, 0.2519, 0.0081, 0.0724, 0.0098, 0.1012, 0.139, 0.0413, 0.0051, 0.0333, 0.0222, 0.0048]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 50.0]), label=7.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 40.0, 51.0]), label=7.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 41.0, 50.0]), label=7.0, probability=DenseVector([0.0341, 0.088, 0.2054, 0.2397, 0.0145, 0.0728, 0.0252, 0.076, 0.1236, 0.0386, 0.0091, 0.0285, 0.0263, 0.0184]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=7.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 42.0, 51.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 49.0]), label=4.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 43.0, 55.0]), label=7.0, probability=DenseVector([0.0354, 0.0863, 0.1989, 0.2446, 0.0145, 0.0697, 0.0185, 0.0803, 0.1285, 0.0509, 0.0075, 0.0274, 0.0251, 0.0124]))
Row(prediction=2.0, features=DenseVector([30.0, 44.0, 44.0]), label=8.0, probability=DenseVector([0.0414, 0.0879, 0.2375, 0.1805, 0.0225, 0.0375, 0.0507, 0.0684, 0.1113, 0.0589, 0.015, 0.0316, 0.0302, 0.0268]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 48.0]), label=8.0, probability=DenseVector([0.0349, 0.0879, 0.219, 0.2238, 0.015, 0.0559, 0.0326, 0.0768, 0.1232, 0.0424, 0.0092, 0.0294, 0.0264, 0.0235]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 49.0]), label=7.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=3.0, features=DenseVector([30.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0341, 0.0905, 0.212, 0.2358, 0.0136, 0.0608, 0.0283, 0.0779, 0.1259, 0.0395, 0.0081, 0.0298, 0.0267, 0.0169]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 47.0]), label=7.0, probability=DenseVector([0.0363, 0.0839, 0.2726, 0.1713, 0.019, 0.0334, 0.0555, 0.068, 0.1138, 0.049, 0.0118, 0.0277, 0.0265, 0.0313]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0322, 0.0828, 0.2492, 0.2066, 0.0153, 0.0458, 0.0405, 0.0736, 0.1223, 0.0448, 0.0091, 0.0286, 0.0228, 0.0265]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 45.0, 50.0]), label=7.0, probability=DenseVector([0.0314, 0.0854, 0.2422, 0.2186, 0.0139, 0.0507, 0.0362, 0.0747, 0.1251, 0.0418, 0.0079, 0.0291, 0.023, 0.0199]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 46.0]), label=7.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0281, 0.0797, 0.3002, 0.1759, 0.0147, 0.0189, 0.0569, 0.0697, 0.1176, 0.0504, 0.0088, 0.0281, 0.0193, 0.0315]))
Row(prediction=2.0, features=DenseVector([30.0, 46.0, 53.0]), label=8.0, probability=DenseVector([0.0281, 0.0825, 0.2602, 0.2107, 0.0132, 0.0423, 0.0372, 0.0761, 0.1244, 0.0534, 0.0073, 0.0279, 0.0199, 0.0169]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 46.0]), label=8.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=8.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 47.0, 47.0]), label=8.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 45.0]), label=8.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 48.0, 46.0]), label=7.0, probability=DenseVector([0.0286, 0.0765, 0.3388, 0.1413, 0.0171, 0.0065, 0.0705, 0.0631, 0.1086, 0.0537, 0.0107, 0.0266, 0.0195, 0.0385]))
Row(prediction=2.0, features=DenseVector([30.0, 49.0, 57.0]), label=8.0, probability=DenseVector([0.0252, 0.0876, 0.2415, 0.1827, 0.024, 0.0319, 0.0362, 0.0692, 0.1212, 0.0965, 0.0103, 0.0282, 0.0301, 0.0155]))
Row(prediction=6.0, features=DenseVector([30.0, 51.0, 34.0]), label=8.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 51.0, 46.0]), label=8.0, probability=DenseVector([0.0265, 0.0646, 0.3506, 0.1418, 0.0188, 0.006, 0.1041, 0.0533, 0.0882, 0.0612, 0.012, 0.0215, 0.0161, 0.0353]))
Row(prediction=6.0, features=DenseVector([30.0, 52.0, 34.0]), label=8.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=2.0, features=DenseVector([30.0, 55.0, 52.0]), label=8.0, probability=DenseVector([0.0231, 0.0679, 0.2181, 0.1666, 0.0315, 0.0284, 0.0581, 0.06, 0.1004, 0.1803, 0.0118, 0.0191, 0.0235, 0.0111]))
Row(prediction=3.0, features=DenseVector([31.0, 29.0, 51.0]), label=7.0, probability=DenseVector([0.0154, 0.1635, 0.0928, 0.3445, 0.0104, 0.1056, 0.0142, 0.0537, 0.0654, 0.0442, 0.0073, 0.0254, 0.0521, 0.0054]))
Row(prediction=3.0, features=DenseVector([31.0, 32.0, 53.0]), label=7.0, probability=DenseVector([0.0072, 0.1861, 0.0463, 0.4363, 0.0026, 0.0379, 0.0107, 0.069, 0.0766, 0.0352, 0.0009, 0.0287, 0.0599, 0.0025]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 52.0]), label=7.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 33.0, 53.0]), label=7.0, probability=DenseVector([0.0085, 0.1615, 0.0681, 0.3981, 0.0029, 0.0622, 0.011, 0.0763, 0.0945, 0.0327, 0.0014, 0.0268, 0.0524, 0.0036]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 52.0]), label=7.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=7.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0201, 0.1012, 0.166, 0.2599, 0.0066, 0.1058, 0.0083, 0.0997, 0.1352, 0.0359, 0.0043, 0.0276, 0.0244, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 34.0, 56.0]), label=7.0, probability=DenseVector([0.0207, 0.1052, 0.1546, 0.2608, 0.0105, 0.1007, 0.0082, 0.0933, 0.1334, 0.0433, 0.0047, 0.0308, 0.0281, 0.0057]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0278, 0.1029, 0.1742, 0.225, 0.015, 0.1393, 0.0109, 0.0782, 0.1086, 0.0452, 0.0109, 0.0271, 0.0265, 0.0084]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 51.0]), label=8.0, probability=DenseVector([0.0278, 0.1029, 0.1742, 0.225, 0.015, 0.1393, 0.0109, 0.0782, 0.1086, 0.0452, 0.0109, 0.0271, 0.0265, 0.0084]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.022, 0.0869, 0.1896, 0.2371, 0.0072, 0.1202, 0.0077, 0.1015, 0.1374, 0.036, 0.0047, 0.0263, 0.0182, 0.0052]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 54.0]), label=8.0, probability=DenseVector([0.0226, 0.0929, 0.1793, 0.2431, 0.0074, 0.111, 0.0078, 0.0991, 0.1374, 0.0368, 0.0046, 0.0313, 0.0207, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 35.0, 55.0]), label=8.0, probability=DenseVector([0.0226, 0.091, 0.1782, 0.238, 0.011, 0.115, 0.0076, 0.095, 0.1355, 0.0435, 0.0052, 0.0295, 0.0219, 0.006]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=7.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 49.0]), label=8.0, probability=DenseVector([0.0348, 0.0959, 0.1754, 0.2078, 0.0188, 0.1385, 0.0143, 0.0834, 0.1077, 0.0421, 0.0134, 0.0285, 0.0261, 0.0131]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.09, 0.1789, 0.2123, 0.0165, 0.1585, 0.01, 0.0784, 0.1124, 0.0396, 0.0129, 0.027, 0.0226, 0.0104]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 39.0, 53.0]), label=8.0, probability=DenseVector([0.0241, 0.0804, 0.2025, 0.2293, 0.0078, 0.1287, 0.0077, 0.1005, 0.1295, 0.037, 0.0049, 0.0258, 0.0169, 0.0049]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 51.0]), label=7.0, probability=DenseVector([0.0326, 0.0713, 0.1901, 0.2644, 0.016, 0.1096, 0.0142, 0.0684, 0.1018, 0.0347, 0.0084, 0.0195, 0.0242, 0.0449]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 53.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 41.0, 59.0]), label=8.0, probability=DenseVector([0.0328, 0.0709, 0.1868, 0.2353, 0.0182, 0.1259, 0.0115, 0.0717, 0.1108, 0.0567, 0.0082, 0.0212, 0.0263, 0.0237]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 45.0]), label=8.0, probability=DenseVector([0.0431, 0.0666, 0.1866, 0.2203, 0.0342, 0.0567, 0.0413, 0.048, 0.0719, 0.085, 0.0264, 0.0265, 0.0267, 0.0668]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=3.0, features=DenseVector([31.0, 43.0, 59.0]), label=8.0, probability=DenseVector([0.0328, 0.0709, 0.1868, 0.2353, 0.0182, 0.1259, 0.0115, 0.0717, 0.1108, 0.0567, 0.0082, 0.0212, 0.0263, 0.0237]))
Row(prediction=6.0, features=DenseVector([31.0, 44.0, 40.0]), label=8.0, probability=DenseVector([0.0988, 0.0657, 0.0221, 0.017, 0.0508, 0.0073, 0.5286, 0.0107, 0.0193, 0.0821, 0.0699, 0.0037, 0.0232, 0.0007]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.0308, 0.0724, 0.1929, 0.2708, 0.0147, 0.0967, 0.0159, 0.0687, 0.098, 0.0349, 0.0073, 0.0198, 0.0238, 0.0532]))
Row(prediction=3.0, features=DenseVector([31.0, 44.0, 52.0]), label=8.0, probability=DenseVector([0.0327, 0.0661, 0.1999, 0.2523, 0.0143, 0.1357, 0.0093, 0.0767, 0.1065, 0.0342, 0.0063, 0.0196, 0.0213, 0.0251]))
Row(prediction=2.0, features=DenseVector([31.0, 45.0, 47.0]), label=8.0, probability=DenseVector([0.0294, 0.0632, 0.2376, 0.2342, 0.0186, 0.0622, 0.0407, 0.0535, 0.0806, 0.045, 0.0106, 0.0186, 0.0217, 0.0841]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0281, 0.0672, 0.2231, 0.2536, 0.015, 0.0866, 0.0238, 0.0656, 0.0972, 0.0373, 0.0071, 0.019, 0.0202, 0.0562]))
Row(prediction=3.0, features=DenseVector([31.0, 45.0, 51.0]), label=8.0, probability=DenseVector([0.0286, 0.0661, 0.2235, 0.2535, 0.0149, 0.09, 0.0234, 0.0654, 0.0985, 0.037, 0.0068, 0.0188, 0.0201, 0.0533]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 43.0]), label=8.0, probability=DenseVector([0.032, 0.0547, 0.2522, 0.1975, 0.024, 0.0293, 0.1094, 0.0394, 0.0593, 0.0572, 0.0163, 0.0155, 0.0156, 0.0978]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 46.0, 50.0]), label=8.0, probability=DenseVector([0.0213, 0.0605, 0.2764, 0.2308, 0.0142, 0.0476, 0.0433, 0.0571, 0.0868, 0.0448, 0.0066, 0.0183, 0.0156, 0.0768]))
Row(prediction=2.0, features=DenseVector([31.0, 47.0, 48.0]), label=8.0, probability=DenseVector([0.0207, 0.0588, 0.2765, 0.2309, 0.0147, 0.0432, 0.0449, 0.0556, 0.0835, 0.047, 0.0073, 0.0184, 0.0152, 0.0832]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 46.0]), label=8.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 47.0]), label=8.0, probability=DenseVector([0.019, 0.0521, 0.3061, 0.212, 0.0164, 0.0231, 0.0588, 0.044, 0.0698, 0.0515, 0.0093, 0.0174, 0.0136, 0.1068]))
Row(prediction=2.0, features=DenseVector([31.0, 48.0, 51.0]), label=8.0, probability=DenseVector([0.0218, 0.0593, 0.2769, 0.2307, 0.0141, 0.0509, 0.0429, 0.0569, 0.0881, 0.0445, 0.0063, 0.0181, 0.0156, 0.0739]))
Row(prediction=2.0, features=DenseVector([31.0, 51.0, 42.0]), label=8.0, probability=DenseVector([0.0236, 0.0478, 0.2597, 0.2283, 0.024, 0.0178, 0.1302, 0.0314, 0.0586, 0.0594, 0.0108, 0.0141, 0.0131, 0.0813]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 35.0]), label=8.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 52.0, 36.0]), label=8.0, probability=DenseVector([0.0624, 0.032, 0.0411, 0.0627, 0.0223, 0.0, 0.5899, 0.0123, 0.0876, 0.0471, 0.0086, 0.0101, 0.0238, 0.0001]))
Row(prediction=2.0, features=DenseVector([31.0, 52.0, 54.0]), label=8.0, probability=DenseVector([0.0195, 0.0526, 0.2408, 0.2147, 0.022, 0.0558, 0.0556, 0.0493, 0.086, 0.1255, 0.0076, 0.0157, 0.0203, 0.0345]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 34.0]), label=8.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 35.0]), label=8.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([31.0, 53.0, 35.0]), label=8.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=2.0, features=DenseVector([31.0, 53.0, 54.0]), label=8.0, probability=DenseVector([0.0192, 0.0577, 0.2182, 0.1957, 0.0284, 0.0559, 0.0538, 0.0494, 0.0838, 0.1611, 0.0094, 0.0151, 0.0214, 0.0309]))
Row(prediction=3.0, features=DenseVector([32.0, 28.0, 52.0]), label=7.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 29.0, 56.0]), label=8.0, probability=DenseVector([0.0068, 0.1677, 0.065, 0.2047, 0.0084, 0.2266, 0.0035, 0.0486, 0.0491, 0.1074, 0.0034, 0.0315, 0.0713, 0.006]))
Row(prediction=3.0, features=DenseVector([32.0, 30.0, 53.0]), label=8.0, probability=DenseVector([0.007, 0.165, 0.064, 0.2841, 0.0065, 0.2482, 0.003, 0.0567, 0.0449, 0.0437, 0.0035, 0.0226, 0.0442, 0.0066]))
Row(prediction=5.0, features=DenseVector([32.0, 33.0, 61.0]), label=8.0, probability=DenseVector([0.0136, 0.0964, 0.0949, 0.1698, 0.0172, 0.3929, 0.0032, 0.0421, 0.0514, 0.043, 0.0079, 0.0194, 0.0354, 0.0128]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 35.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 36.0, 58.0]), label=8.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 46.0]), label=7.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 54.0]), label=8.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 37.0, 54.0]), label=8.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 38.0, 54.0]), label=8.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 47.0]), label=8.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 47.0]), label=7.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([32.0, 39.0, 56.0]), label=8.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=6.0, features=DenseVector([32.0, 40.0, 41.0]), label=0.0, probability=DenseVector([0.0791, 0.0861, 0.0378, 0.0477, 0.0559, 0.0283, 0.4071, 0.0194, 0.0277, 0.0897, 0.0819, 0.0092, 0.0252, 0.005]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 50.0]), label=8.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 50.0]), label=8.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([32.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 49.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=7.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 43.0, 51.0]), label=7.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 44.0]), label=8.0, probability=DenseVector([0.0334, 0.0461, 0.1751, 0.2733, 0.0299, 0.0676, 0.0323, 0.0357, 0.0529, 0.0753, 0.0216, 0.0206, 0.0203, 0.1159]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 50.0]), label=4.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([32.0, 44.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([32.0, 45.0, 44.0]), label=7.0, probability=DenseVector([0.0318, 0.0421, 0.1777, 0.278, 0.0295, 0.0633, 0.0329, 0.0342, 0.0503, 0.0753, 0.021, 0.0199, 0.0189, 0.1251]))
Row(prediction=3.0, features=DenseVector([32.0, 46.0, 42.0]), label=7.0, probability=DenseVector([0.042, 0.0447, 0.16, 0.2412, 0.0308, 0.0312, 0.1466, 0.0266, 0.0381, 0.0574, 0.0244, 0.0127, 0.0174, 0.127]))
Row(prediction=3.0, features=DenseVector([32.0, 47.0, 47.0]), label=8.0, probability=DenseVector([0.0161, 0.0364, 0.2046, 0.3159, 0.0163, 0.0463, 0.0324, 0.0302, 0.0437, 0.0466, 0.0084, 0.0123, 0.0161, 0.1749]))
Row(prediction=3.0, features=DenseVector([32.0, 50.0, 50.0]), label=8.0, probability=DenseVector([0.0183, 0.0447, 0.2058, 0.3086, 0.0153, 0.063, 0.0264, 0.0403, 0.0542, 0.0402, 0.0065, 0.0126, 0.0187, 0.1454]))
Row(prediction=6.0, features=DenseVector([32.0, 52.0, 35.0]), label=8.0, probability=DenseVector([0.0622, 0.0331, 0.0342, 0.055, 0.0221, 0.0, 0.6244, 0.0133, 0.0772, 0.0413, 0.0076, 0.0089, 0.0207, 0.0001]))
Row(prediction=6.0, features=DenseVector([32.0, 53.0, 31.0]), label=8.0, probability=DenseVector([0.0648, 0.039, 0.0146, 0.0311, 0.0274, 0.0, 0.7152, 0.0183, 0.032, 0.0307, 0.0054, 0.0064, 0.015, 0.0001]))
Row(prediction=5.0, features=DenseVector([33.0, 27.0, 52.0]), label=7.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 28.0, 52.0]), label=7.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 31.0, 53.0]), label=7.0, probability=DenseVector([0.0079, 0.1665, 0.0847, 0.2426, 0.0074, 0.2703, 0.0012, 0.0528, 0.0427, 0.0499, 0.0038, 0.0241, 0.0395, 0.0067]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0987, 0.1339, 0.1695, 0.0315, 0.2844, 0.0107, 0.0348, 0.0475, 0.0608, 0.0233, 0.0183, 0.0319, 0.027]))
Row(prediction=5.0, features=DenseVector([33.0, 34.0, 54.0]), label=7.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 49.0]), label=8.0, probability=DenseVector([0.0294, 0.0911, 0.1326, 0.1724, 0.0326, 0.2875, 0.0102, 0.0359, 0.0509, 0.0565, 0.0243, 0.0173, 0.0306, 0.0287]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 51.0]), label=8.0, probability=DenseVector([0.0202, 0.0902, 0.1198, 0.1394, 0.0203, 0.4048, 0.0052, 0.0352, 0.0468, 0.0417, 0.0158, 0.0162, 0.0292, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 54.0]), label=8.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 35.0, 54.0]), label=8.0, probability=DenseVector([0.016, 0.0688, 0.1049, 0.1292, 0.0175, 0.4729, 0.0012, 0.0408, 0.0485, 0.0314, 0.0096, 0.0161, 0.0274, 0.0156]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 45.0]), label=7.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 47.0]), label=7.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 50.0]), label=7.0, probability=DenseVector([0.0319, 0.0783, 0.1374, 0.1597, 0.0341, 0.3067, 0.0093, 0.0361, 0.0546, 0.0509, 0.0262, 0.0173, 0.0268, 0.0307]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 38.0, 57.0]), label=7.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 52.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 55.0]), label=8.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([33.0, 39.0, 56.0]), label=8.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=3.0, features=DenseVector([33.0, 40.0, 45.0]), label=8.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([33.0, 41.0, 54.0]), label=8.0, probability=DenseVector([0.0309, 0.0604, 0.169, 0.2478, 0.0208, 0.1947, 0.008, 0.0554, 0.0825, 0.039, 0.0072, 0.0151, 0.0267, 0.0425]))
Row(prediction=3.0, features=DenseVector([33.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 48.0]), label=4.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 43.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([33.0, 44.0, 53.0]), label=7.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 42.0]), label=7.0, probability=DenseVector([0.028, 0.1073, 0.0982, 0.1278, 0.0315, 0.2166, 0.0833, 0.0218, 0.0344, 0.1437, 0.0231, 0.013, 0.0379, 0.0334]))
Row(prediction=5.0, features=DenseVector([34.0, 31.0, 53.0]), label=8.0, probability=DenseVector([0.011, 0.2022, 0.1294, 0.1362, 0.0101, 0.3055, 0.0014, 0.0361, 0.0443, 0.0584, 0.0039, 0.0239, 0.0301, 0.0076]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 52.0]), label=0.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 34.0, 55.0]), label=7.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([34.0, 35.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 50.0]), label=7.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 36.0, 55.0]), label=8.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 53.0]), label=7.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([34.0, 37.0, 60.0]), label=8.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([34.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=3.0, features=DenseVector([34.0, 40.0, 50.0]), label=8.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=9.0, features=DenseVector([34.0, 41.0, 40.0]), label=10.0, probability=DenseVector([0.0684, 0.075, 0.0182, 0.0265, 0.0478, 0.0065, 0.2152, 0.0056, 0.0153, 0.364, 0.0496, 0.0834, 0.0228, 0.0018]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 49.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 51.0]), label=7.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 42.0, 52.0]), label=8.0, probability=DenseVector([0.0306, 0.055, 0.17, 0.24, 0.0188, 0.2241, 0.0079, 0.0551, 0.08, 0.0314, 0.0071, 0.0134, 0.0242, 0.0426]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 48.0]), label=8.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 47.0]), label=8.0, probability=DenseVector([0.0258, 0.0506, 0.189, 0.2939, 0.0183, 0.0855, 0.0237, 0.0445, 0.0628, 0.0415, 0.0104, 0.0135, 0.0206, 0.1199]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 49.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 44.0, 50.0]), label=7.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([34.0, 45.0, 48.0]), label=7.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 50.0]), label=7.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([34.0, 46.0, 52.0]), label=8.0, probability=DenseVector([0.0233, 0.0517, 0.1651, 0.2517, 0.0176, 0.1954, 0.0147, 0.045, 0.0713, 0.0419, 0.0061, 0.0159, 0.0239, 0.0765]))
Row(prediction=6.0, features=DenseVector([34.0, 47.0, 41.0]), label=8.0, probability=DenseVector([0.0669, 0.0772, 0.0785, 0.1335, 0.0372, 0.0079, 0.2962, 0.0127, 0.04, 0.1512, 0.0247, 0.0116, 0.0168, 0.0456]))
Row(prediction=3.0, features=DenseVector([34.0, 48.0, 47.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([34.0, 49.0, 46.0]), label=8.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=6.0, features=DenseVector([34.0, 54.0, 38.0]), label=8.0, probability=DenseVector([0.0608, 0.0367, 0.042, 0.0506, 0.0221, 0.0, 0.5965, 0.0115, 0.0656, 0.0592, 0.0089, 0.0114, 0.0347, 0.0001]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 50.0]), label=8.0, probability=DenseVector([0.0307, 0.0841, 0.1301, 0.1739, 0.0334, 0.2958, 0.0101, 0.0364, 0.0524, 0.0515, 0.0253, 0.0168, 0.0294, 0.0299]))
Row(prediction=5.0, features=DenseVector([35.0, 36.0, 55.0]), label=7.0, probability=DenseVector([0.015, 0.0707, 0.1041, 0.1271, 0.0194, 0.4627, 0.0014, 0.04, 0.0504, 0.0385, 0.0099, 0.0171, 0.0288, 0.0151]))
Row(prediction=5.0, features=DenseVector([35.0, 37.0, 51.0]), label=7.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 45.0]), label=8.0, probability=DenseVector([0.0324, 0.0739, 0.1168, 0.154, 0.0397, 0.2916, 0.0176, 0.0269, 0.0463, 0.0874, 0.0311, 0.0142, 0.0285, 0.0398]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0141, 0.0585, 0.1065, 0.1093, 0.0136, 0.5332, 0.0009, 0.0393, 0.0438, 0.0208, 0.0094, 0.0128, 0.0227, 0.015]))
Row(prediction=5.0, features=DenseVector([35.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0227, 0.0773, 0.1246, 0.1267, 0.0218, 0.424, 0.0044, 0.0354, 0.0505, 0.0361, 0.0178, 0.0162, 0.0254, 0.0172]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 45.0]), label=10.0, probability=DenseVector([0.038, 0.0489, 0.1648, 0.2566, 0.0357, 0.0794, 0.0309, 0.0357, 0.0558, 0.0839, 0.0275, 0.0205, 0.0223, 0.1001]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0296, 0.0576, 0.1841, 0.2726, 0.0179, 0.1389, 0.0141, 0.0536, 0.0804, 0.0322, 0.0086, 0.0135, 0.0236, 0.0732]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 46.0]), label=8.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 49.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0283, 0.0575, 0.1874, 0.2789, 0.0165, 0.1294, 0.0155, 0.0537, 0.0778, 0.0322, 0.0072, 0.0136, 0.0233, 0.0787]))
Row(prediction=3.0, features=DenseVector([35.0, 44.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0259, 0.0533, 0.1928, 0.2915, 0.0175, 0.0936, 0.02, 0.0517, 0.0675, 0.0373, 0.0086, 0.0131, 0.0215, 0.1059]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 49.0]), label=7.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 50.0]), label=8.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 45.0, 50.0]), label=7.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 47.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 46.0, 51.0]), label=8.0, probability=DenseVector([0.0184, 0.0434, 0.1894, 0.3098, 0.0146, 0.0908, 0.0237, 0.0385, 0.0573, 0.0384, 0.0052, 0.0126, 0.0191, 0.1388]))
Row(prediction=3.0, features=DenseVector([35.0, 47.0, 47.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 48.0, 45.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([35.0, 49.0, 43.0]), label=8.0, probability=DenseVector([0.0172, 0.0353, 0.1822, 0.3392, 0.0172, 0.0405, 0.0472, 0.0255, 0.0462, 0.0541, 0.009, 0.0123, 0.0151, 0.159]))
Row(prediction=3.0, features=DenseVector([35.0, 50.0, 46.0]), label=8.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=3.0, features=DenseVector([35.0, 51.0, 47.0]), label=8.0, probability=DenseVector([0.0115, 0.029, 0.181, 0.3834, 0.0165, 0.0266, 0.0426, 0.0186, 0.0477, 0.0542, 0.0063, 0.0107, 0.0137, 0.1581]))
Row(prediction=3.0, features=DenseVector([35.0, 53.0, 43.0]), label=8.0, probability=DenseVector([0.012, 0.0304, 0.1739, 0.3753, 0.0172, 0.0258, 0.055, 0.0178, 0.0487, 0.0655, 0.0063, 0.0111, 0.0131, 0.1478]))
Row(prediction=5.0, features=DenseVector([36.0, 30.0, 54.0]), label=7.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 31.0, 52.0]), label=7.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 31.0, 52.0]), label=7.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([36.0, 34.0, 51.0]), label=8.0, probability=DenseVector([0.0315, 0.1287, 0.1412, 0.1371, 0.0297, 0.3105, 0.0059, 0.028, 0.0437, 0.0541, 0.0269, 0.0173, 0.0305, 0.0149]))
Row(prediction=5.0, features=DenseVector([36.0, 37.0, 52.0]), label=0.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 38.0, 53.0]), label=8.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 46.0]), label=10.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 47.0]), label=0.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 47.0]), label=4.0, probability=DenseVector([0.0361, 0.0782, 0.12, 0.1497, 0.0448, 0.2722, 0.0194, 0.0251, 0.0434, 0.0908, 0.0388, 0.0144, 0.0281, 0.0389]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([36.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 51.0]), label=10.0, probability=DenseVector([0.0294, 0.0647, 0.1806, 0.2754, 0.0217, 0.1161, 0.0139, 0.0507, 0.0861, 0.0364, 0.009, 0.0137, 0.0262, 0.0762]))
Row(prediction=3.0, features=DenseVector([36.0, 40.0, 53.0]), label=8.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 46.0]), label=8.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([36.0, 42.0, 51.0]), label=8.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 48.0]), label=8.0, probability=DenseVector([0.0275, 0.0572, 0.1903, 0.2868, 0.0179, 0.0978, 0.0194, 0.0532, 0.07, 0.0372, 0.0093, 0.0139, 0.0228, 0.0967]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 51.0]), label=8.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 52.0]), label=8.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 52.0]), label=8.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 43.0, 52.0]), label=8.0, probability=DenseVector([0.035, 0.0867, 0.1666, 0.2409, 0.0276, 0.1605, 0.0076, 0.0468, 0.0847, 0.0419, 0.0129, 0.0141, 0.0284, 0.0464]))
Row(prediction=3.0, features=DenseVector([36.0, 44.0, 51.0]), label=8.0, probability=DenseVector([0.0281, 0.0646, 0.1839, 0.2816, 0.0203, 0.1066, 0.0152, 0.0508, 0.0836, 0.0364, 0.0076, 0.0138, 0.0259, 0.0817]))
Row(prediction=3.0, features=DenseVector([36.0, 45.0, 51.0]), label=8.0, probability=DenseVector([0.0265, 0.0606, 0.1864, 0.2863, 0.0198, 0.1023, 0.0158, 0.0494, 0.081, 0.0364, 0.0069, 0.0131, 0.0245, 0.0909]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([36.0, 46.0, 51.0]), label=8.0, probability=DenseVector([0.0181, 0.0505, 0.1859, 0.3125, 0.0184, 0.068, 0.0235, 0.0357, 0.0631, 0.0425, 0.0056, 0.0129, 0.0217, 0.1417]))
Row(prediction=3.0, features=DenseVector([36.0, 48.0, 46.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([36.0, 50.0, 43.0]), label=8.0, probability=DenseVector([0.016, 0.0439, 0.1827, 0.3319, 0.0161, 0.0404, 0.0479, 0.0254, 0.0459, 0.0547, 0.0085, 0.0125, 0.015, 0.1592]))
Row(prediction=6.0, features=DenseVector([36.0, 51.0, 40.0]), label=8.0, probability=DenseVector([0.05, 0.0304, 0.0987, 0.1052, 0.0206, 0.0001, 0.4528, 0.0106, 0.1298, 0.0573, 0.0088, 0.0129, 0.0187, 0.0043]))
Row(prediction=6.0, features=DenseVector([36.0, 51.0, 41.0]), label=8.0, probability=DenseVector([0.0357, 0.0296, 0.1266, 0.1848, 0.0168, 0.0055, 0.3373, 0.0129, 0.1225, 0.0527, 0.005, 0.0123, 0.011, 0.0474]))
Row(prediction=5.0, features=DenseVector([37.0, 30.0, 51.0]), label=7.0, probability=DenseVector([0.026, 0.1508, 0.1585, 0.1301, 0.0233, 0.2809, 0.0059, 0.0276, 0.043, 0.0685, 0.0194, 0.0225, 0.0324, 0.011]))
Row(prediction=5.0, features=DenseVector([37.0, 30.0, 52.0]), label=7.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 30.0, 52.0]), label=7.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 31.0, 52.0]), label=7.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 31.0, 52.0]), label=7.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 31.0, 53.0]), label=7.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 31.0, 53.0]), label=7.0, probability=DenseVector([0.0255, 0.2006, 0.1743, 0.1161, 0.0195, 0.2325, 0.0016, 0.0298, 0.0503, 0.0739, 0.0139, 0.025, 0.0285, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 32.0, 51.0]), label=8.0, probability=DenseVector([0.026, 0.1508, 0.1585, 0.1301, 0.0233, 0.2809, 0.0059, 0.0276, 0.043, 0.0685, 0.0194, 0.0225, 0.0324, 0.011]))
Row(prediction=5.0, features=DenseVector([37.0, 32.0, 51.0]), label=8.0, probability=DenseVector([0.026, 0.1508, 0.1585, 0.1301, 0.0233, 0.2809, 0.0059, 0.0276, 0.043, 0.0685, 0.0194, 0.0225, 0.0324, 0.011]))
Row(prediction=5.0, features=DenseVector([37.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0252, 0.1919, 0.1905, 0.1131, 0.0183, 0.2302, 0.0015, 0.0303, 0.0503, 0.0704, 0.0141, 0.0275, 0.028, 0.0087]))
Row(prediction=5.0, features=DenseVector([37.0, 33.0, 52.0]), label=8.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([37.0, 33.0, 53.0]), label=8.0, probability=DenseVector([0.0342, 0.1496, 0.1551, 0.1093, 0.0276, 0.3166, 0.0015, 0.0283, 0.0455, 0.0503, 0.0232, 0.0191, 0.0264, 0.0135]))
Row(prediction=5.0, features=DenseVector([37.0, 34.0, 51.0]), label=8.0, probability=DenseVector([0.0315, 0.1287, 0.1412, 0.1371, 0.0297, 0.3105, 0.0059, 0.028, 0.0437, 0.0541, 0.0269, 0.0173, 0.0305, 0.0149]))
Row(prediction=5.0, features=DenseVector([37.0, 35.0, 55.0]), label=7.0, probability=DenseVector([0.039, 0.1254, 0.1266, 0.1198, 0.0384, 0.3275, 0.002, 0.0278, 0.0483, 0.0541, 0.0292, 0.0163, 0.029, 0.0165]))
Row(prediction=5.0, features=DenseVector([37.0, 36.0, 51.0]), label=8.0, probability=DenseVector([0.0342, 0.1142, 0.1374, 0.1415, 0.0316, 0.322, 0.0053, 0.0296, 0.0486, 0.0448, 0.0289, 0.0158, 0.0281, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 51.0]), label=0.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0354, 0.1083, 0.1447, 0.1273, 0.0323, 0.3328, 0.0046, 0.0293, 0.0508, 0.0442, 0.0299, 0.0163, 0.0254, 0.0187]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0377, 0.1236, 0.1366, 0.1172, 0.0338, 0.352, 0.0015, 0.0283, 0.0449, 0.038, 0.0303, 0.0131, 0.025, 0.0179]))
Row(prediction=5.0, features=DenseVector([37.0, 38.0, 58.0]), label=7.0, probability=DenseVector([0.039, 0.1254, 0.1266, 0.1198, 0.0384, 0.3275, 0.002, 0.0278, 0.0483, 0.0541, 0.0292, 0.0163, 0.029, 0.0165]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.0339, 0.1038, 0.1402, 0.1339, 0.0323, 0.3289, 0.0046, 0.0294, 0.0579, 0.0442, 0.0284, 0.0159, 0.0265, 0.02]))
Row(prediction=5.0, features=DenseVector([37.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0363, 0.1191, 0.132, 0.1238, 0.0338, 0.3481, 0.0015, 0.0285, 0.052, 0.038, 0.0288, 0.0128, 0.0261, 0.0192]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 50.0]), label=8.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([37.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([37.0, 41.0, 49.0]), label=8.0, probability=DenseVector([0.0293, 0.059, 0.1869, 0.2803, 0.0188, 0.1116, 0.0164, 0.0545, 0.0759, 0.0351, 0.01, 0.0137, 0.0236, 0.0849]))
Row(prediction=3.0, features=DenseVector([37.0, 43.0, 47.0]), label=8.0, probability=DenseVector([0.0291, 0.0533, 0.1819, 0.2834, 0.0227, 0.0878, 0.0236, 0.0447, 0.0633, 0.0502, 0.0148, 0.0135, 0.0222, 0.1096]))
Row(prediction=3.0, features=DenseVector([37.0, 45.0, 46.0]), label=8.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 44.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 46.0, 48.0]), label=8.0, probability=DenseVector([0.0175, 0.0431, 0.1923, 0.3176, 0.016, 0.0592, 0.0276, 0.038, 0.0495, 0.0434, 0.0073, 0.0129, 0.0186, 0.1568]))
Row(prediction=3.0, features=DenseVector([37.0, 47.0, 49.0]), label=8.0, probability=DenseVector([0.0181, 0.0448, 0.1922, 0.3174, 0.0155, 0.0635, 0.026, 0.0394, 0.0529, 0.0412, 0.0066, 0.0128, 0.019, 0.1504]))
Row(prediction=3.0, features=DenseVector([37.0, 48.0, 46.0]), label=8.0, probability=DenseVector([0.0159, 0.0365, 0.191, 0.3247, 0.0165, 0.0469, 0.032, 0.0293, 0.0423, 0.0477, 0.0084, 0.0126, 0.0164, 0.18]))
Row(prediction=3.0, features=DenseVector([37.0, 52.0, 45.0]), label=8.0, probability=DenseVector([0.0113, 0.0307, 0.1754, 0.363, 0.0174, 0.0266, 0.0476, 0.0185, 0.0463, 0.0753, 0.0068, 0.012, 0.0141, 0.1549]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=7.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 52.0]), label=8.0, probability=DenseVector([0.0276, 0.1704, 0.2539, 0.0964, 0.0204, 0.1931, 0.0015, 0.0272, 0.0463, 0.0764, 0.0157, 0.038, 0.0254, 0.0075]))
Row(prediction=2.0, features=DenseVector([38.0, 32.0, 54.0]), label=7.0, probability=DenseVector([0.0286, 0.1822, 0.2103, 0.0998, 0.0232, 0.1958, 0.002, 0.026, 0.0456, 0.1056, 0.0156, 0.0314, 0.0264, 0.0075]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 48.0]), label=8.0, probability=DenseVector([0.0346, 0.0886, 0.1704, 0.1461, 0.0404, 0.2354, 0.0154, 0.0291, 0.0433, 0.0778, 0.0338, 0.0241, 0.0268, 0.0342]))
Row(prediction=5.0, features=DenseVector([38.0, 35.0, 50.0]), label=8.0, probability=DenseVector([0.0329, 0.0976, 0.1856, 0.1445, 0.0342, 0.2553, 0.0086, 0.0301, 0.046, 0.057, 0.0288, 0.0253, 0.0259, 0.0282]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 50.0]), label=4.0, probability=DenseVector([0.0343, 0.0906, 0.1831, 0.1461, 0.035, 0.2636, 0.0084, 0.0306, 0.0476, 0.052, 0.0298, 0.0247, 0.0248, 0.0294]))
Row(prediction=5.0, features=DenseVector([38.0, 36.0, 55.0]), label=8.0, probability=DenseVector([0.041, 0.1258, 0.1425, 0.116, 0.04, 0.3095, 0.0021, 0.0264, 0.0472, 0.0564, 0.031, 0.0181, 0.0283, 0.0159]))
Row(prediction=5.0, features=DenseVector([38.0, 37.0, 51.0]), label=8.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 50.0]), label=8.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 50.0]), label=8.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 51.0]), label=8.0, probability=DenseVector([0.0375, 0.1087, 0.1606, 0.1234, 0.0339, 0.3149, 0.0047, 0.0279, 0.0497, 0.0465, 0.0316, 0.0181, 0.0246, 0.018]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 50.0]), label=8.0, probability=DenseVector([0.0352, 0.0891, 0.1617, 0.1529, 0.0353, 0.2784, 0.0087, 0.033, 0.0518, 0.0495, 0.0305, 0.0185, 0.0251, 0.0303]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=5.0, features=DenseVector([38.0, 39.0, 61.0]), label=8.0, probability=DenseVector([0.0395, 0.1213, 0.138, 0.1226, 0.04, 0.3056, 0.0021, 0.0266, 0.0543, 0.0564, 0.0295, 0.0177, 0.0293, 0.0172]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 44.0, 53.0]), label=8.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([38.0, 45.0, 49.0]), label=8.0, probability=DenseVector([0.0264, 0.0549, 0.1927, 0.2913, 0.017, 0.0979, 0.0183, 0.0531, 0.0708, 0.0352, 0.0079, 0.0131, 0.0219, 0.0996]))
Row(prediction=3.0, features=DenseVector([38.0, 50.0, 46.0]), label=8.0, probability=DenseVector([0.0148, 0.0358, 0.1909, 0.336, 0.0155, 0.0452, 0.034, 0.0287, 0.0429, 0.0467, 0.0075, 0.0126, 0.0161, 0.1732]))
Row(prediction=5.0, features=DenseVector([39.0, 34.0, 52.0]), label=10.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 37.0, 49.0]), label=4.0, probability=DenseVector([0.0365, 0.0904, 0.1651, 0.1521, 0.036, 0.2666, 0.0098, 0.0356, 0.0507, 0.0519, 0.0303, 0.0197, 0.0257, 0.0295]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 38.0, 52.0]), label=8.0, probability=DenseVector([0.0398, 0.124, 0.1524, 0.1134, 0.0355, 0.334, 0.0016, 0.0269, 0.0437, 0.0403, 0.032, 0.015, 0.0242, 0.0172]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 51.0]), label=8.0, probability=DenseVector([0.036, 0.1042, 0.156, 0.13, 0.0339, 0.3109, 0.0047, 0.0281, 0.0568, 0.0465, 0.0301, 0.0177, 0.0257, 0.0193]))
Row(prediction=5.0, features=DenseVector([39.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0383, 0.1195, 0.1479, 0.12, 0.0354, 0.3301, 0.0016, 0.0271, 0.0508, 0.0403, 0.0305, 0.0146, 0.0253, 0.0185]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 40.0, 52.0]), label=8.0, probability=DenseVector([0.036, 0.0826, 0.1654, 0.2416, 0.0262, 0.1595, 0.0077, 0.0455, 0.0943, 0.042, 0.0134, 0.0135, 0.0271, 0.0452]))
Row(prediction=3.0, features=DenseVector([39.0, 41.0, 51.0]), label=8.0, probability=DenseVector([0.0303, 0.0606, 0.1794, 0.2761, 0.0202, 0.1151, 0.014, 0.0494, 0.0957, 0.0365, 0.0096, 0.0131, 0.0249, 0.075]))
Row(prediction=3.0, features=DenseVector([39.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.028, 0.0589, 0.1902, 0.2866, 0.0174, 0.1022, 0.0178, 0.0546, 0.0734, 0.0351, 0.0085, 0.0138, 0.0232, 0.0904]))
Row(prediction=3.0, features=DenseVector([39.0, 45.0, 46.0]), label=8.0, probability=DenseVector([0.0242, 0.0466, 0.1915, 0.2985, 0.0179, 0.0812, 0.0243, 0.043, 0.0603, 0.0416, 0.0098, 0.0128, 0.0192, 0.1291]))
Row(prediction=3.0, features=DenseVector([39.0, 48.0, 53.0]), label=8.0, probability=DenseVector([0.0277, 0.082, 0.1541, 0.2496, 0.0242, 0.1247, 0.0173, 0.0341, 0.088, 0.0586, 0.0128, 0.0187, 0.03, 0.0783]))
Row(prediction=2.0, features=DenseVector([40.0, 31.0, 47.0]), label=8.0, probability=DenseVector([0.0342, 0.0718, 0.3086, 0.0802, 0.0287, 0.1187, 0.0195, 0.0031, 0.0083, 0.1826, 0.0161, 0.1091, 0.0161, 0.003]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 51.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 34.0, 52.0]), label=4.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 50.0]), label=10.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 35.0, 51.0]), label=7.0, probability=DenseVector([0.0268, 0.092, 0.5558, 0.0187, 0.0259, 0.0577, 0.0009, 0.0055, 0.0055, 0.0487, 0.0215, 0.1309, 0.0085, 0.0016]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 52.0]), label=10.0, probability=DenseVector([0.0437, 0.0884, 0.4456, 0.0369, 0.0403, 0.1274, 0.001, 0.0133, 0.0131, 0.0503, 0.0316, 0.0923, 0.0119, 0.0041]))
Row(prediction=2.0, features=DenseVector([40.0, 36.0, 53.0]), label=4.0, probability=DenseVector([0.0518, 0.099, 0.3773, 0.0391, 0.0525, 0.1273, 0.0026, 0.0131, 0.0149, 0.0877, 0.0367, 0.0773, 0.0166, 0.0041]))
Row(prediction=9.0, features=DenseVector([40.0, 38.0, 46.0]), label=8.0, probability=DenseVector([0.0284, 0.0425, 0.1667, 0.1616, 0.0281, 0.195, 0.0286, 0.0048, 0.0111, 0.2077, 0.0142, 0.0884, 0.0163, 0.0065]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 48.0]), label=4.0, probability=DenseVector([0.0162, 0.033, 0.2457, 0.2985, 0.0149, 0.2071, 0.0069, 0.0221, 0.0297, 0.0632, 0.009, 0.0204, 0.0103, 0.0232]))
Row(prediction=3.0, features=DenseVector([40.0, 40.0, 51.0]), label=8.0, probability=DenseVector([0.0165, 0.0376, 0.2296, 0.288, 0.0155, 0.2316, 0.0068, 0.0207, 0.03, 0.0607, 0.0111, 0.0186, 0.0106, 0.0227]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 52.0]), label=8.0, probability=DenseVector([0.0332, 0.0445, 0.2248, 0.2832, 0.0294, 0.178, 0.0055, 0.0268, 0.0395, 0.0698, 0.0176, 0.0194, 0.0141, 0.0142]))
Row(prediction=3.0, features=DenseVector([40.0, 41.0, 53.0]), label=8.0, probability=DenseVector([0.0326, 0.0473, 0.2065, 0.2826, 0.0308, 0.1776, 0.0063, 0.0264, 0.0403, 0.0847, 0.0173, 0.0172, 0.0161, 0.0142]))
Row(prediction=3.0, features=DenseVector([40.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.015, 0.0314, 0.2237, 0.333, 0.0148, 0.1932, 0.0077, 0.0238, 0.031, 0.0656, 0.008, 0.0187, 0.0109, 0.0234]))
Row(prediction=3.0, features=DenseVector([40.0, 47.0, 49.0]), label=8.0, probability=DenseVector([0.012, 0.0291, 0.2056, 0.319, 0.0175, 0.1674, 0.0202, 0.0164, 0.0225, 0.1129, 0.0075, 0.0201, 0.0117, 0.0381]))
Row(prediction=2.0, features=DenseVector([41.0, 32.0, 48.0]), label=8.0, probability=DenseVector([0.0257, 0.0982, 0.5492, 0.013, 0.0255, 0.0501, 0.003, 0.0037, 0.0039, 0.0658, 0.0203, 0.1313, 0.01, 0.0003]))
Row(prediction=3.0, features=DenseVector([41.0, 42.0, 50.0]), label=8.0, probability=DenseVector([0.0153, 0.0341, 0.2209, 0.3245, 0.0154, 0.2008, 0.0076, 0.0224, 0.0313, 0.0662, 0.0089, 0.0185, 0.0112, 0.0229]))
Row(prediction=9.0, features=DenseVector([42.0, 50.0, 44.0]), label=8.0, probability=DenseVector([0.0216, 0.0347, 0.1313, 0.1392, 0.0304, 0.048, 0.082, 0.0008, 0.0085, 0.3937, 0.0062, 0.0813, 0.0182, 0.0041]))
Row(prediction=9.0, features=DenseVector([43.0, 40.0, 43.0]), label=8.0, probability=DenseVector([0.0307, 0.0388, 0.1371, 0.1234, 0.0376, 0.0488, 0.0635, 0.0011, 0.0095, 0.3963, 0.0127, 0.0754, 0.0195, 0.0056]))
Row(prediction=2.0, features=DenseVector([45.0, 45.0, 48.0]), label=8.0, probability=DenseVector([0.0115, 0.0535, 0.2763, 0.1848, 0.0237, 0.0877, 0.0235, 0.0111, 0.0236, 0.2051, 0.0054, 0.0718, 0.0156, 0.0065]))
Row(prediction=6.0, features=DenseVector([45.0, 51.0, 41.0]), label=8.0, probability=DenseVector([0.0255, 0.0365, 0.0509, 0.0654, 0.0287, 0.006, 0.3599, 0.0046, 0.0357, 0.3249, 0.0048, 0.0375, 0.0184, 0.0013]))
Row(prediction=9.0, features=DenseVector([46.0, 41.0, 43.0]), label=8.0, probability=DenseVector([0.0217, 0.0387, 0.1527, 0.0705, 0.036, 0.0137, 0.0604, 0.0007, 0.0079, 0.3703, 0.0095, 0.1944, 0.0207, 0.0028]))
Row(prediction=6.0, features=DenseVector([46.0, 51.0, 39.0]), label=8.0, probability=DenseVector([0.0467, 0.0405, 0.0203, 0.0282, 0.0203, 0.0, 0.56, 0.0089, 0.0345, 0.1882, 0.0041, 0.0213, 0.0268, 0.0001]))
Row(prediction=2.0, features=DenseVector([47.0, 39.0, 52.0]), label=8.0, probability=DenseVector([0.0303, 0.082, 0.3625, 0.0676, 0.0313, 0.1726, 0.0042, 0.0089, 0.0138, 0.1147, 0.0262, 0.069, 0.0134, 0.0033]))
In [ ]:
In [ ]: